University of Colorado Boulder
Public University • US
Showing 424 courses from University of Colorado Boulder
Modeling and Control of Single-Phase Rectifiers and Inverters
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5709, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is Course 5 in the Modeling and Control of Power Electronics Specialization. The course is focused on modeling and control of grid-tied power electronics. Upon completion of the course, you will be able to understand, analyze, model, and design low-harmonic rectifiers and inverters interfacing dc loads or dc power sources, such as photovoltaic arrays, to the single-phase ac power grid. We strongly recommend students complete the CU Boulder Power Electronics Specialization as well as Courses 1 (Averaged-Switch Modeling and Simulation) and 4 (Current-Mode Control) before enrolling in this course (the course numbers provided below are for students in the CU Boulder's MS-EE program): ● Introduction to Power Electronics (ECEA 5700) ● Converter Circuits (ECEA 5701) ● Converter Control (ECEA 5702) ● Averaged-Switch Modeling and Simulation (ECEA 5705) ● Current-Mode Control (ECEA 5708) After completing this course, you will be able to: ● Understand the operating principles of low-harmonic, high power factor rectifier and inverters ● Model and design current shaping and voltage control loops in power factor correction (PFC) rectifiers ● Model and design control loops in single-phase dc-to-ac inverters ● Design photovoltaic power systems tied to the single-phase ac power grid ● Use computer-aided tools and simulations to verify the design of rectifiers and inverters
(Successful Presentation) العرض التقديمي الناجح
University of Colorado Boulder (via Coursera)
يمكن لبعض أنواع التواصل إحداث تأثير يُبدع عرضًا تقديميًا مميزًا. حتى الخطاب القصير يمكنه أن يُحفز الأشخاص لتغيير المعتقدات التي عافى عليها الزمن أو اتخاذ الخطوات اللازمة، ويمكن أن تؤدي طريقة الحديث الإيجابية إلى تحويل شخص عادي إلى قائد. في هذه الدورة التدريبية، يقدم البروفيسور ويليام كوسكين سلسلة من الفيديوهات والتمارين العملية لكيفية مخاطبة الجمهور وتقديم العروض التقديمية بصورة ناجحة. تتألف الدورة التدريبية من أربعة موضوعات — التحكم في الخوف، وإبداع صيغة عرض مبتكرة، واستخدام اللغة الجسدية والشفهية، وكيفية توقع سريان الأمور في القاعة — بحيث تصبح قادرًا على اكتشاف قوتك الذاتية باعتبارك متحدثًا يستطيع تقديم عروض تقديمية رائعة. لا تعتمد العروض التقديمية الناجحة على الأسنان الناصعة أو الصوت الجهوري أو العدد الكبير من كاتبي النصوص. ولكن تعتمد بشكل كبير على نفس المهارات اللازمة للكتابة التجارية الناجحة وتصميم الجرافيك ألا وهي: الوضوح وحُسن تصميم العرض والمراجعة المتأنية. ولذلك تستهدف هذه الدورة التدريبية تمكينك من اكتشاف قوتك الداخلية فيما يتعلق بكونك متحدثًا ومن ثَمّ تقديمها للعالم. وبانتهاء هذه الدورة التدريبية، ومن خلال بعض التمارين، ستتمكن من المشاركة في أى فعالية وإدارة القاعة على النحو الذي تريد.
Network Systems Foundations
University of Colorado Boulder (via Coursera)
Welcome! Throughout this course, Network Systems Foundations, you will delve into the fundamental layers of network communication. You will start with a thorough discussion of the Link Layer and its crucial role, moving on to the intricacies of Internet Protocol (IP) and router data planes, and then navigate through the complexities of the transport layer, application layer, and network security. With a practical focus, you'll write Python code to manage routing tables, analyze network traffic, simulate router functionalities, and create digital certificates for web servers. By the end of this course, you will have a well-rounded understanding of networking principles, from data transmission and routing to application protocols and security, and will be equipped with practical skills to navigate the ever-evolving landscape of network technology. By completing this course, learners will be able to: 1. Describe the layers in depth and how they relate to one another 2. Analyze traffic through python programming 3. Design a simplified routing protocol that has similar features as to what powers the Internet 4. Create a client and server with socket programming 5. Generate certificates for TLS which powers the security in https This course can be taken for academic credit as part of CU Boulder’s MS in Electrical Engineering or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Electrical Engineering: https://www.coursera.org/degrees/msee-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder Course logo by Jordan Harrison on Unsplash.
Introduction to Bayesian Statistics for Data Science
University of Colorado Boulder (via Coursera)
This course introduces the theoretical, philosophical, and mathematical foundations of Bayesian Statistical inference. Students will learn to apply this foundational knowledge to real-world data science problems. Topics include the use and interpretations of probability theory in Bayesian inference; Bayes’ theorem for statistical parameters; conjugate, improper, and objective priors distributions; data science applications of Bayesian inference; and ethical implications of Bayesian statistics. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.
Teaching Electricity and Magnetism with PhET Simulations
University of Colorado Boulder (via Coursera)
PhET Interactive Simulations (https://phet.colorado.edu/), a project of the University of Colorado Boulder, provides fun, free, interactive, research-based science and mathematics simulations for use across, primary, secondary, and higher education levels. We extensively test and evaluate each simulation to ensure educational effectiveness. All simulations are open source and free to all students and teachers. In this course, you will acquire teaching and facilitation strategies for how to use PhET simulations for teaching introductory, conceptual electricity and magnetism topics. Specifically, you will interact with 16 PhET simulations, engage as a learner with model lessons, and reflect as a teacher on PhET’s instructional strategies in the context of introductory electricity and magnetism. To finish this course, you need to complete one assignment with peer review: design your own sim-based plans (such as a unit plan) for teaching electricity and/or magnetism, making use of five or more PhET simulations and instructional strategies.
BiteSize Python for Absolute Beginners: Data Structures
University of Colorado Boulder (via Coursera)
This course provides an in-depth exploration of Python’s four built-in data structures: lists, tuples, sets, and dictionaries. Each structure will be introduced in detail, focusing on how to create, access, and manipulate them efficiently. The course will emphasize their unique characteristics and appropriate use cases. Learners will also apply their understanding in a case study, showcasing the practical application of these data structures to solve real-world problems.
Basics of Inclusive Design for Online Education
University of Colorado Boulder (via Coursera)
This course provides instruction and strategies to support you in developing a course that is inclusive to students with a wide range of abilities, including students with disabilities. We cover effective practices to increase inclusion and avoid some of the common accessibility issues that can arise in an online course. In particular, Basics of Inclusive Design Online covers course organization, the accessibility of Microsoft Office and PDF documents, making course instruction pages accessible, captioning of videos, making images accessible, and designing for learning differences. We also discuss how inclusive course materials can help all students, including students without disabilities. This course will appeal to those who want both a broad overview of the range of accessibility considerations and also a step-by-step guide of how to check documents for accessibility, caption a video, or prepare course content for non-visual users. Course logo credit: "web accessibility word cloud" by Jill Wright (https://goo.gl/xyUoeU). Copyright - some rights remain. See https://creativecommons.org/licenses/by/2.0/
Semiconductor Physics
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5630, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course introduces basic concepts of quantum theory of solids and presents the theory describing the carrier behaviors in semiconductors. The course balances fundamental physics with application to semiconductors and other electronic devices. At the end of this course learners will be able to: 1. Understand the energy band structures and their significance in electric properties of solids 2. Analyze the carrier statistics in semiconductors 3. Analyze the carrier dynamics and the resulting conduction properties of semiconductors
Anti-Racism II
University of Colorado Boulder (via Coursera)
Anti-Racism II is an intermediate course between Anti-Racism I and Anti-Racism III, focusing on the topic of race, racism, and strategies regarding how to be an anti-racist. Anti-Racism II is for anyone who has previously taken Anti-Racism I, or who has basic knowledge of the racial issues plaguing the United States, and globally. Anti-Racism I focused upon how to have open dialogue and conversations about race and racism. Anti-Racism II takes on the vital role assisting students in guiding their own conversations regarding race, and additionally gender and sexuality. Anti-Racism II will expand your knowledge and critically engage your inquiry, centering upon short interviews with leading scholars and activists in the field. Coupled with supplementary video and reading material, these interviews will further demonstrate the power of open dialogue and self-narration, directing you towards being an anti-racist ally. The centrality of the course interviews will culminate in a final project where students will construct and carry out their own personalized interview. The final project will test dialogic skills while asserting the importance of intimate conversations about race, gender, and sexuality. This is challenging work in troubling times that may conjure uneasy feelings and emotions. Anti-Racism II can work as a bridge coming face to face with your personal individual relationship with social demands plaguing us nationally and globally. The remedy is to allow yourself uncomfortableness in order to get to the solutions. We are all in this together. Peace & Love Shawn Course logo image credit: Emmanuel Gido, 08/31/2020. Available on Unsplash at https://unsplash.com/photos/SAjZSZUA690
Clustering Analysis
University of Colorado Boulder (via Coursera)
The "Clustering Analysis" course introduces students to the fundamental concepts of unsupervised learning, focusing on clustering and dimension reduction techniques. Participants will explore various clustering methods, including partitioning, hierarchical, density-based, and grid-based clustering. Additionally, students will learn about Principal Component Analysis (PCA) for dimension reduction. Through interactive tutorials and practical case studies, students will gain hands-on experience in applying clustering and dimension reduction techniques to diverse datasets. By the end of this course, students will be able to: 1. Understand the principles and significance of unsupervised learning, particularly clustering and dimension reduction. 2. Grasp the concepts and applications of partitioning, hierarchical, density-based, and grid-based clustering methods. 3. Explore the mathematical foundations of clustering algorithms to comprehend their workings. 4. Apply clustering techniques to diverse datasets for pattern discovery and data exploration. 5. Comprehend the concept of dimension reduction and its importance in reducing feature space complexity. 6. Implement Principal Component Analysis (PCA) for dimension reduction and interpret the reduced feature space. 7. Evaluate clustering results and dimension reduction effectiveness using appropriate performance metrics. 8. Apply clustering and dimension reduction techniques in real-world case studies to derive meaningful insights. Throughout the course, students will actively engage in tutorials and case studies, strengthening their clustering analysis and dimension reduction skills and gaining practical experience in applying these techniques to diverse datasets. By achieving the learning objectives, participants will be well-equipped to excel in unsupervised learning tasks and make informed decisions using clustering and dimension reduction techniques.
مهارات العمل الجماعي: التواصل الفعّال في مجموعات
University of Colorado Boulder (via Coursera)
العمل والتواصل الجماعي الفعّال ضروريان لنجاحك المهني والشخصي. ستتعلم، في هذه الدورة التدريبية، ما يلي: اتخاذ قرارات أفضل، وكيف تكون أكثر إبداعًا وابتكارًا، وإدارة التعارض والعمل مع أعضاء المجموعة صعبي المراس، والتفاوض للحصول على النتائج المفضلة، وتحسين التواصل الجماعي في البيئات الافتراضية، وتطوير فهم شامل أفضل للتفاعل البشري، والعمل بشكل أكثر فعالية كفريق. هدفنا هو مساعدتك على فهم هذه الديناميكيات المهمة للتواصل الجماعي ومعرفة كيفية وضعها موضع التنفيذ لتحسين عملك الجماعي بشكل عام.
The Need for Systems Engineering
University of Colorado Boulder (via Coursera)
Systems engineering is an interdisciplinary approach to designing, realizing, and managing complex systems. In this course, you will be introduced to principles of systems engineering and its importance to the development of complex systems. You will learn to identify and define systems, manage their complexity, and describe their life cycle. The course uses real-world engineering examples to address how the systems engineering approach can address challenges. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
Essential Dashboarding & Storytelling Techniques
University of Colorado Boulder (via Coursera)
This intermediate Tableau course is recommended to learners with some Tableau knowledge. In it, we'll identify basic chart types and when to use them. Then we'll understand typical dashboard-flow techniques and understand how to implement them to guide your viewer from one chart to the next. We'll then start to understand how to use charts to compare values, visualize distributions, and we'll use filters and parameters to make cohesive and interactive dashboards. Photo by Bilal Mansuri on Unsplash
Converter Circuits
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5701, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course introduces more advanced concepts of switched-mode converter circuits. Realization of the power semiconductors in inverters or in converters having bidirectional power flow is explained. Power diodes, power MOSFETs, and IGBTs are explained, along with the origins of their switching times. Equivalent circuit models are refined to include the effects of switching loss. The discontinuous conduction mode is described and analyzed. A number of well-known converter circuit topologies are explored, including those with transformer isolation. The homework assignments include a boost converter and an H-bridge inverter used in a grid-interfaced solar inverter system, as well as transformer-isolated forward and flyback converters. After completing this course, you will: ● Understand how to implement the power semiconductor devices in a switching converter ● Understand the origins of the discontinuous conduction mode and be able to solve converters operating in DCM ● Understand the basic dc-dc converter and dc-ac inverter circuits ● Understand how to implement transformer isolation in a dc-dc converter, including the popular forward and flyback converter topologies Completion of the first course Introduction to Power Electronics is the assumed prerequisite for this course.
Animals, Self, and Society
University of Colorado Boulder (via Coursera)
This course explores how animals and people are situated within the web of structures and connections known as “society.” Module 1 considers some of the key symbolic roles that animals play in society by investigating the practice of “thinking with animals.” We investigate how people construct different meanings of animals and the implications these meanings have for both animals and humans. You will gain first-hand experience of this by analyzing how animals are represented in the media. Modules 2 and 3 investigate human-animal relationships, including those that involve suffering as well as those that are beneficial. Although many people describe their pets as friends or family members, Module 2 takes a deeper dive into what constitutes friendship and family membership where other species are concerned. Module 3 examines the dark side of these relationships, focusing on animal abuse and its relationship to domestic violence. Module 4 focuses on people’s encounters with those animals outside the boundaries of the home and the farm. The way people understand and regard the species commonly considered “wild” shapes the treatment and moral status of these animals.
Engineering Genetic Circuits: Design
University of Colorado Boulder (via Coursera)
This course gives an introduction to the biology and biochemistry necessary to understand genetic circuits. It starts by providing an engineering viewpoint on genetic circuit design and a review of cells and their structure. The second module introduces genetic parts and the importance of standards followed by a discussion of genetic devices used within circuit design. The last two modules cover experimental techniques and construction methods and principles applied during the design process. This course can also be taken for academic credit as ECEA 5934, part of CU Boulder’s Master of Science in Electrical Engineering.
Impacts of Sustainable Operations and Supply Chains
University of Colorado Boulder (via Coursera)
Now more than ever, companies need experts to shape the future of global supply chains and make a lasting difference in advancing sustainability and corporate responsibility. Innovative companies such as Siemens Digital Industries Software recognize these challenges and have partnered with the University of Colorado Boulder to create this course to provide a comprehensive exploration of sustainable operations and supply chain management through the lenses of Corporate Social Responsibility (CSR) and Environmental, Social, and Governance (ESG) frameworks. This third course in the Sustainable and Resilient Operations and Supply Chains Specialization emphasizes effective communication of sustainability initiatives and the use of tools like Lifecycle Assessments to evaluate environmental performance. You will also explore global reporting frameworks such as the Global Reporting Initiative (GRI), Corporate Sustainability Reporting Directive (CSRD), and United Nations Sustainable Development Goals (SDGs) to enhance accountability and address pressing global challenges such as ethical labor practices and corporate responsibility in global supply chains. This course also provides an in-depth analysis of building partnerships for sustainable operations, emphasizing sustainable procurement, supplier collaboration, and ethical sourcing. Topics include fair trade practices, human rights, and compliance with international standards, equipping learners with strategies to foster equitable labor practices and enhance supply chain resilience. This course was developed in collaboration with Siemens Digital Industries Software and is part of the "Design for the Circular Economy" collection. Learners who complete and pass the course can receive an industry-recognized digital badge. The “Design for the Circular Economy” microcredential and graduate certificate are developed around the educational goals of providing technical, business, and leadership knowledge and skills that in...
When to Regulate? The Digital Divide and Net Neutrality
University of Colorado Boulder (via Coursera)
This is the first out of three courses exploring Internet Policy: Principles and Problems. This course builds an interdisciplinary policy framework to critique and develop regulatory and policy approaches to real-world problems on the Internet. Learners then use the framework to develop policy solutions to improve the Digital Divide and to evaluate net neutrality regulations. This course can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
Avoiding Ethical Pitfalls in the Tech Industry
University of Colorado Boulder (via Coursera)
This course focuses on what went wrong. That is, it focuses on the difficulty every manager experiences and how some make the mistake of following an incorrect ethical path. Examined are operating “in the gray”, whether we are driven by rational thinking or intuition, and the possibility of the deliberate infliction of a negative act. Each of these is not an uncommon occurrence. Indeed, operating in the gray is a topic that comes up often in conversations with managers and leaders at every level. The goal of this course is to understand how things can go wrong and how those ethical mistakes affect one’s team, the company, and the society at large. These possible errors are not easily seen and sometimes, for leaders and managers, appear without warning. Stopping them is, many times, a function of ethical awareness and the courage to act. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
Fundamental Tools of Data Wrangling
University of Colorado Boulder (via Coursera)
Data wrangling is a crucial step in the data analysis process, as it involves the transformation and preparation of raw data into a suitable format for analysis. The "Fundamental Tools for Data Wrangling" course is designed to provide participants with essential skills and knowledge to effectively manipulate, clean, and analyze data. Participants will be introduced to the fundamental tools commonly used in data wrangling, including Python, data structures, NumPy, and pandas. Through hands-on exercises and practical examples, participants will gain the necessary proficiency to work with various data formats and effectively prepare data for analysis. In this course, participants will dive into the world of data manipulation using Python as the primary programming language. They will learn about data structures, such as lists, dictionaries, and arrays, and how to use them to store and organize different types of data. Furthermore, participants will explore the power of Python packages like random and math for generating and performing mathematical operations on data. They will also be introduced to NumPy, a powerful library for numerical computing, and learn how to efficiently work with multi-dimensional arrays and matrices. A significant focus of the course will be on pandas, a versatile library for data manipulation and analysis. Participants will discover various techniques to clean, reshape, and aggregate data using pandas, enabling them to derive valuable insights from messy datasets.
Fundamentals of Natural Language Processing
University of Colorado Boulder (via Coursera)
The field of natural language processing (NLP) aims at getting computers to perform useful and interesting tasks with human language. This course introduces students to the 3 pillars underlying modern NLP: probabilistic language models, simple neural networks with a focus on gradient based learning, and vector-based meaning representations in the form of word embeddings. At the end of the course, students will be able to implement and analyze probabilistic language models based on N-grams, text classifiers using logistic regression and gradient-based learning, and vector-based approaches to word meaning and text classification. This course can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
Elements and Principles of Visual Communication
University of Colorado Boulder (via Coursera)
This introductory course sets the baseline for understanding visual communication by introducing the concepts, vocabulary, and jobs skills relating to visual communication. We will start by covering the history of design and theories and then move on to the elements and principles of design, allowing you to develop the skills necessary to practice your understanding of the design process. We will also examine creative solutions to design problems—all of which will help you succeed in using visual communication skills in the other classes in this specialization and in your career after completing all the course. By the end of this course, you’ll have a better understanding of and be able to answer the question: What is visual communication?
Predictive Modeling and Analytics
University of Colorado Boulder (via Coursera)
Welcome to the second course in the Data Analytics for Business specialization! This course will introduce you to some of the most widely used predictive modeling techniques and their core principles. By taking this course, you will form a solid foundation of predictive analytics, which refers to tools and techniques for building statistical or machine learning models to make predictions based on data. You will learn how to carry out exploratory data analysis to gain insights and prepare data for predictive modeling, an essential skill valued in the business. You’ll also learn how to summarize and visualize datasets using plots so that you can present your results in a compelling and meaningful way. We will use a practical predictive modeling software, XLMiner, which is a popular Excel plug-in. This course is designed for anyone who is interested in using data to gain insights and make better business decisions. The techniques discussed are applied in all functional areas within business organizations including accounting, finance, human resource management, marketing, operations, and strategic planning. The expected prerequisites for this course include a prior working knowledge of Excel, introductory level algebra, and basic statistics.
Number Sense for Primary Education with PhET Simulations
University of Colorado Boulder (via Coursera)
PhET Interactive Simulations (https://phet.colorado.edu/), a project of the University of Colorado Boulder, provides fun, free, interactive, research-based science and mathematics simulations for use across, primary, secondary, and higher education levels. We extensively test and evaluate each simulation to ensure educational effectiveness. All simulations are open source and free to all students and teachers. In this course, you will (a) acquire teaching and facilitation strategies for how to use PhET simulations in a K-2 classroom, (b) explore how PhET simulations can support multilingual students, and (c) engage with lessons supporting students’ learning of counting, number sense, and place value. To finish this course, you need to complete one assignment with peer review: complete one early math teacher guide (using a template) to plan a lesson on numeracy using one of the PhET simulations introduced in this course.
GradCO: Professional Development Course
University of Colorado Boulder (via Coursera)
This course is designed to deliver a variety of high-quality professional development trainings to graduate students and postdoctoral fellows. Even if you are not a graduate student, the contents of this course can benefit you on your academic and professional journey. This course covers critical professional development competencies including communication, networking, career planning and strategizing, collaboration, teamwork, inclusivity, sharing your contributions to your field, and self-awareness. Learners will gain skills in a wide array of topics taught by experts across several institutions of higher education in Colorado. Lessons are divided into five modules, each containing 4-6 hours of content. We expect it might take 5 weeks to complete all the material if you dedicated an hour a day. However, recognizing the diverse needs of our learners, the course is designed to allow for flexibility. You don’t need to complete every lesson, you can pick those parts of the course most relevant to your interests and needs.
Anti-Racism III
University of Colorado Boulder (via Coursera)
Anti-Racism III is the third course in CU Boulder's Anti-Racism specialization on Coursera. You will be asked to apply and deepen what you've learned about race, racism, identity, and inequality in the first and second courses to a more global context that understands systemic racism and white supremacy as a human rights issue. You will also be invited to consider how you might engage in anti-racist practices in your own life, and you will be challenged to design a community outreach project that leverages your own experience and skills as an anti-racism advocate. Anti-Racism III will be available in Fall 2021. Course logo image credit: Taylor Brandon, 10/11/2020. Available on Unsplash at https://unsplash.com/photos/HRfGpPrzmNg
Introduction to Embedded Systems Software and Development Environments
University of Colorado Boulder (via Coursera)
Welcome to the Introduction to Embedded Systems Software and Development Environments. This course is focused on giving you real world coding experience and hands on project work with ARM based Microcontrollers. You will learn how to implement software configuration management and develop embedded software applications. Course assignments include creating a build system using the GNU Toolchain GCC, using Git version control, and developing software in Linux on a Virtual Machine. The course concludes with a project where you will create your own build system and firmware that can manipulate memory. The second course in this 2 course series , Embedded Software and Hardware Architecture, will use hardware tools to program and debug microcontrollers with bare-metal firmware. Using a Texas Instruments MSP432 Development Kit, you will configure a variety of peripherals, write numerous programs, and see your work execute on your own embedded platform!
Trees and Graphs: Basics
University of Colorado Boulder (via Coursera)
Basic algorithms on tree data structures, binary search trees, self-balancing trees, graph data structures and basic traversal algorithms on graphs. This course also covers advanced topics such as kd-trees for spatial data and algorithms for spatial data. Trees and Graphs: Basics can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.
International Finance and Accounting
University of Colorado Boulder (via Coursera)
This course provides a thorough introduction to international finance and accounting — the nervous system of global business! You will begin by exploring the global financial system and important topics in financial management, including cross-border payment methods, tax planning, and transfer pricing. You will then cover the fundamentals of the foreign currency exchange (forex) market, addressing its size, scope, and key risk management "hedging" strategies. Next, you will turn to international financial accounting, with a comparative look at GAAP and IFRS accounting standards. Finally, the course discusses international accounting management, focusing on tax and forex accounting and the importance of strong international accounting systems. Upon completion of the course, you will be empowered with actionable expertise in international finance and accounting management! This course is designed to benefit anyone engaged in or curious about international business, especially those interest in foreign currency exchange, international finance, or cross-border transactions. Only a basic understanding of business concepts is required; key topics are briefly reviewed to accommodate participants with diverse backgrounds. This approach ensures that anyone interested in international business can participate confidently and succeed in the course.
Strategic Product Development
University of Colorado Boulder (via Coursera)
This course discusses how companies create new products that customers want while achieving their financial objectives. Learners begin by defining the product strategies necessary to ensure a company’s long-term growth. Learners then explore the different product development processes used by high-tech businesses today, such as Stage-Gate and Lean/Agile techniques. Learners conclude by illustrating the tools to build the high-performance teams that take the development process from concept through product launch. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
Unsupervised Text Classification for Marketing Analytics
University of Colorado Boulder (via Coursera)
Marketing data is often so big that humans cannot read or analyze a representative sample of it to understand what insights might lie within. In this course, learners use unsupervised deep learning to train algorithms to extract topics and insights from text data. Learners walk through a conceptual overview of unsupervised machine learning and dive into real-world datasets through instructor-led tutorials in Python. The course concludes with a major project. This course uses Jupyter Notebooks and the coding environment Google Colab, a browser-based Jupyter notebook environment. Files are stored in Google Drive. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.
Graphic Elements of Design: Color Theory and Image Formats
University of Colorado Boulder (via Coursera)
Examining and exploring the various types of images and graphic elements will be the focus of this course. We will start with color theory to distinguish between CMYK, Pantone and RGB color options and their usages. Then we will review the various types of images used in both print and digital design projects. Finally we will look at logo designs to determine what makes for the best images and graphic elements for corporate branding and imaging.
Product Cost and Investment Cash Flow Analysis
University of Colorado Boulder (via Coursera)
This course discusses costs and business practices to establish the cost of a product. The concept of time value of money (TVM) is developed to determine the present and future values of a series of cash flows. TVM principles are then applied to personal finances and retirement planning. This is a practical course that uses spreadsheets to better prepare learners in engineering and science for a career in industry. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
Modern Topics in Condensed Matter Physics
University of Colorado Boulder (via Coursera)
This course will begin by discussing superconductivity - a central example of a macroscopic phenomenon. It will then proceed to discuss various modern topics in quantum condensed matter physics, including fractionalization, anyon statistics, topology, and non-equilibrium phases. The course aims to provide learners with an appreciation for some modern topics in condensed matter physics.
Kinetics: Studying Spacecraft Motion
University of Colorado Boulder (via Coursera)
As they tumble through space, objects like spacecraft move in dynamical ways. Understanding and predicting the equations that represent that motion is critical to the safety and efficacy of spacecraft mission development. Kinetics: Modeling the Motions of Spacecraft trains your skills in topics like rigid body angular momentum and kinetic energy expression shown in a coordinate frame agnostic manner, single and dual rigid body systems tumbling without the forces of external torque, how differential gravity across a rigid body is approximated to the first order to study disturbances in both the attitude and orbital motion, and how these systems change when general momentum exchange devices are introduced. After this course, you will be able to... Derive from basic angular momentum formulation the rotational equations of motion and predict and determine torque-free motion equilibria and associated stabilities Develop equations of motion for a rigid body with multiple spinning components and derive and apply the gravity gradient torque Apply the static stability conditions of a dual-spinner configuration and predict changes as momentum exchange devices are introduced Derive equations of motion for systems in which various momentum exchange devices are present Please note: this is an advanced course, best suited for working engineers or students with college-level knowledge in mathematics and physics. The material covered is taking from the book "Analytical Mechanics of Space Systems" available at https://arc.aiaa.org/doi/book/10.2514/4.105210.
Programmatic Advertising
University of Colorado Boulder (via Coursera)
Native advertising is a niche form of advertising that leverages the design and format of news and entertainment content. Native advertising is less about selling products and more about producing useful content for consumers who are in the ‘consideration’ phase of the advertising purchase funnel. Often in the form of news-like stories, native advertising has been shown to persuade consumers. Native advertising is affordable, and doesn’t require graphic design to get started. For these reasons, it’s a compelling advertising technique for small businesses. This course outlines a case study where a small travel startup used native advertising to drive hotel sales. Execution strategies for a successful, no-creative native campaign are laid out, including: gathering existing news coverage, ethical content seeding, and content generation.
Working with the Media
University of Colorado Boulder (via Coursera)
This course builds on foundational public relations concepts by examining how organizations communicate with media and external audiences in complex communication environments. Learners explore the role of public relations in branding and storytelling, with particular attention to how organizational mission and core values guide message development across traditional and digital media.
M2M & IoT Interface Design & Protocols for Embedded Systems
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5348, part of CU Boulder’s Master of Science in Electrical Engineering degree. M2M and IoT Interface Design and Protocols is the third of three classes in the Embedded Interface Design (EID) specialization, an online version of the on-campus EID class taught in graduate embedded systems design. This course is focused on connecting devices to each other and to the cloud to create prototypes and actual systems that flow data from devices to consumers. The class includes an introduction to M2M (Machine-to-Machine) and IoT (Internet of Things) concepts, using the cloud to develop IoT systems (specifically AWS (Amazon Web Services) and its IoT framework), a review of common communications protocols at every level of connected devices, and other IoT design concerns such as security, message queuing approaches, and the use and design of APIs and microservices . The content ranges from general design best practices to specifics for select tools and methods, but all are presented to support developing embedded devices in IoT applications. The class includes practical projects that let you try some of standard methods in software development of prototype graphical user interfaces for devices using AWS, Python, and optionally Node.JS. This course can be taken for academic credit as ECEA 5348, part of CU Boulder's Master of Science in Electrical Engineering degree.
Designing Breakthrough Timed Commercials
University of Colorado Boulder (via Coursera)
Designing Breakthrough Advertisements: Time Advertisements will teach you the skills to make breakthrough timed commercials; the advertisements that tells stories through time. Reels, TV commercials, radio spots, online videos, branded entertainment and more. In this course you will learn the history of different timed commercials, how they work, and how to approach concepting and designing them. And we explore techniques to make your advertisements stand out. So if you've ever wondered: how do I start thinking about a TV commercial? How do I make a more social media video? Or really any other advertisement, this is the course for you. Often, we know what we want to say, and this show teaches you how to say it. With insider tips, proven techniques, and industry best practices, you'll learn to think and design like an advertising creative. After all, if you're taking the time to develop a marketing plan and a media placement strategy, shouldn't you also take the time to learn how to make timed commercials that won't get immediately tuned out?
Modern AI Models for Vision and Multimodal Understanding
University of Colorado Boulder (via Coursera)
Step into the frontier of artificial intelligence with this advanced course designed to explore the latest models powering visual and multimodal intelligence. From foundational mathematical tools to state-of-the-art architectures, you'll gain the skills to understand and build systems that interpret images, text, and more—just like today’s leading AI models. You'll begin by discovering how Nonlinear Support Vector Machines (NSVMs) and Fourier transforms lay the groundwork for signal processing and pattern recognition in visual data. You'll then build a strong foundation in probabilistic reasoning and temporal modeling with RNNs, enabling AI systems to understand sequences and context. After, you'll learn how transformer architectures revolutionize both language and vision tasks. Finally, you'll dive into multimodal learning with CLIP, which connects images and text, and explore diffusion models that generate high-fidelity images through iterative refinement. This course is ideal for learners who want to go beyond traditional deep learning and explore the models shaping the future of AI. With a blend of theory, code, and real-world applications, you'll be equipped to tackle cutting-edge challenges in computer vision and multimodal AI. This course can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
Non-Equilibrium Applications of Statistical Thermodynamics
University of Colorado Boulder (via Coursera)
Course 5 of Statistical Thermodynamics explores three different applications of non-equilibrium statistical thermodynamics. The first is the transport behavior of ideal gases, with some discussion of transport in dense gases and liquids. It starts with simple estimates of the transport properties of an ideas gas. It then introduces the Boltzmann Equation and describes the Chapman-Enskog solution of that equation in order to obtain the transport properties. It closes with a discussion of practical sources of transport properties. Spectroscopic methods have become increasingly common as a way of determining the thermodynamic state of a system. Here we present the underlying concepts of the subject and explores how spectroscopy can be used to determine thermodynamic and flow properties. Chemical kinetics are important in a variety of fluid/thermal applications including combustion, air quality, fuel cells and material processing. Here we cover the basics of chemical kinetics, with a particular focus on combustion. It starts with some definitions, including reaction rate and reaction rate constant. It then explores methods for determining reaction rate constants. Next, systems of reactions, or reaction mechanisms, are explored, including the oxidation of hydrogen and hydrocarbon fuels. Finally, computational tools for carrying out kinetic calculations are explored.
Product Design for the Circular Economy
University of Colorado Boulder (via Coursera)
This first course in the Sustainable and Circular Product Development specialization illustrates the product design tools necessary to implement Circular Economy (CE) principles. The course begins with an overview of the Circular Economy and why it is necessary today. It then discusses the design strategies involving Design for the Environment (DfE) and Design for “R”, where R refers to Reuse, Repair, Remanufacturing, and Recycling. This course goes deeper into the world of recycling, highlighting what happens at a Material Recovery Facility, or MRF, and the innovative sorting technologies recently developed to make recycling more cost-effective. Finally, the course shows the correlation between population, affluence and consumption patterns, and how that limits the availability of materials for products, emphasizing the subsequent importance of a circular economy. The course ends by highlighting ways product designers can select the appropriate materials to achieve circularity objectives and make eco-informed decisions. This course was developed in collaboration with Siemens Digital Industries Software and is part of the "Design for the Circular Economy" collection. Learners who complete and pass the course can receive an industry-recognized digital badge. The “Design for the Circular Economy” microcredential and graduate certificate are developed around the educational goals of providing technical, business, and leadership knowledge and skills that inspire the transformation towards a more circular economy. This includes gaining technical knowledge to apply circular economy principles in product design, minimizing waste and maximizing impact; developing business acumen to implement innovative circular economic models that prioritize sustainability and resilience; and acquiring leadership strategies to communicate effectively and inspire change within an organization. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in ...
Digital Media and Strategic Planning in Technology Markets
University of Colorado Boulder (via Coursera)
An old phrase in business is "Build it and they will come". If heard at all today it will be ironically, as entrepreneurs too often make things that nobody really wants. Cryptocurrency became a trillion-dollar industry without anyone being able to name a clear use for it beyond illicit transactions. In this second course we take-up the research outputs perviously generated and apply to them strategic planning to include the most effective analytical tools and stress tests to challenge and improve business models. Then we will review the digital marketing landscape to align the given startup with it's most effective channels of communication for business and consumer users. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
Reclaim Your Attention: Values-Aligned Media Consumption
University of Colorado Boulder (via Coursera)
Reclaim your attention. Realign your mind. Rediscover what matters. We reach for our phones when we want to rest, scroll when we mean to connect, and check notifications in moments meant for quiet or focus. Most of us don’t want to be doing this. The attention economy is designed to keep us hooked, shaping not just how we spend our time but how we think, feel, and relate to others. Your attention is your most valuable resource the foundation of your creativity, relationships, and mental health. This course helps you reclaim it. You’ll learn to align your media habits with your values, reduce digital overwhelm, and cultivate clarity, joy, balance, and purpose, skills that enhance well-being and focus in every area of life. This neuroscience-based course builds on eight years of research and teaching from the PRISM program at the University of Colorado Boulder, which has helped thousands of participants feel less stressed, more focused, and more connected. We’ve distilled the most effective, science-backed practices into a concise, time-efficient learning experience, so you can see real impact without adding more to your plate. Each week includes short videos, guided reflections, and practical tools designed to help you make lasting shifts in how you relate to technology, and to yourself. This course is for you if... You check your phone first thing in the morning and feel drained before the day begins. You find yourself scrolling when you meant to rest, create, or connect with people you love. You want to understand the neuroscience behind attention manipulation and how to resist it. You’re a leader, educator, or professional who wants to model digital balance for others. You struggle to stay focused at work or school, even when the task matters to you. You crave more presence, creativity, and meaning — and less mental clutter. You’re ready to take back control of your mind and rediscover what truly nourishes you.
Your World and What Shapes It
University of Colorado Boulder (via Coursera)
Thriving organizations strive for equity at all levels. Dynamic global DEI initiatives strengthen connectivity within individual teams and foster cross-cultural collaboration and mutual understanding while encouraging the inclusion of employees from all regions. Broader global relations aside, there also exist country-specific ethnic dynamics that make DEI a critical conversation. Global dynamics present a possible risk (and opportunity) for organizations. In this course, we will explore the complex topics that shape your views and ideas by exploring historical narratives while working on your journey towards improving cultural competence. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder. Course logo image credit: Clay Banks. Available on Unsplash at https://unsplash.com/photos/LjqARJaJotc
Software Architecture Patterns for Big Data
University of Colorado Boulder (via Coursera)
The course is intended for individuals looking to understand the architecture patterns necessary to take large software systems that make use of big data to production. You will transform big data prototypes into high quality tested production software. After measuring the performance characteristics of distributed systems, you will identify trouble areas and implement scalable solutions to improve performance. Upon completion of the course you will know how to scale production data stores to perform under load, designing load tests to ensure applications meet performance requirements. This course can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
Basic Ideas in Computing Security
University of Colorado Boulder (via Coursera)
This course teaches fundamental concepts in computing security, focusing on cross-cutting concepts spanning: vulnerability metrics and terminology, utilizing open source intelligence, authentication mechanisms/factors, and authorization & access control protocols. You can expect to gain fundamental conceptual knowledge as well as practical skills needed by everyone, not least those who are entering the field of Cybersecurity -- this will put you on the path to completing the Intro to Computing Security Specialization. Learners from all backgrounds will benefit, especially those who have little experience with Unix access control and the command-line shell. The course offers a unique insight into many diffferent areas of research and practice in the world of cybersecurity. This course can be taken for academic credit as part of CU Boulder’s Masters of Science in Computer Science (MS-CS) degrees offered on the Coursera platform. This fully accredited graduate degree offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
The Little Stuff: Energy, Cells, and Genetics
University of Colorado Boulder (via Coursera)
In this course, we will explore the smaller side of biology: molecular biology. We’ll cover basic topics including cell biology and how cells can go “rogue” and turn into cancer, how energy from the sun is transferred to fuel our bodies, basics of genetics and inheritance, and genetic technologies. At the end of this course, we will discuss ethical and moral implications of several exciting and new genetic technologies.
Introduction to High-Performance and Parallel Computing
University of Colorado Boulder (via Coursera)
This course introduces the fundamentals of high-performance and parallel computing. It is targeted to scientists, engineers, scholars, really everyone seeking to develop the software skills necessary for work in parallel software environments. These skills include big-data analysis, machine learning, parallel programming, and optimization. We will cover the basics of Linux environments and bash scripting all the way to high throughput computing and parallelizing code. We recommend you are familiar with either Fortran 90, C++, or Python to complete some of the programming assignments. After completing this course, you will familiar with: The components of a high-performance distributed computing system Types of parallel programming models and the situations in which they might be used High-throughput computing Shared memory parallelism Distributed memory parallelism Navigating a typical Linux-based HPC environment Assessing and analyzing application scalability including weak and strong scaling Quantifying the processing, data, and cost requirements for a computational project or workflow This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.
How Do We Manage Climate Change?
University of Colorado Boulder (via Coursera)
In this course, learners will identify the types of actions that we can pursue to address climate change. These actions fall into two broad categories: 1) mitigation, which refers to efforts to reduce greenhouse gas emissions or enhance carbon sinks, and 2) adaptation, which refers to our preparations for climate impacts. We will explore the technologies, programs, and policies related to both mitigation and adaptation. Learners should leave the course with an improved ability to identify and evaluate climate actions undertaken by communities, governments, and businesses.
Teacher SEL: Programs, Possibilities, and Contexts
University of Colorado Boulder (via Coursera)
Social and emotional learning, or SEL, student programs have flourished in schools during the last decade. Unfortunately inadequate attention has been paid to teachers’ social and emotional learning. In this course the instructors (Randy Testa and Dan Liston) introduce and examine distinct and established teacher SEL programs, as well as some alternative possibilities. This course is a part of the 5-course Specialization “The Teacher and Social Emotional Learning (SEL)”. Interested in earning 3 university credits from the University of Colorado-Boulder for this specialization? If so check out "How you can earn 3 university credits from the University of Colorado-Boulder for this specialization" reading in the first module of this course for additional information. We want to note that the courses in this Specialization were designed with a three-credit university course load in mind. As a participant you may notice a bit more reading content and a little less video/lecture content. Completing and passing the SEL Specialization allows the participant to apply for 3 graduate credits toward teacher re-certification and professional enhancement. We want to ensure the quality and high standards of a University of Colorado learning experience. Interested in earning 3 graduate credits from the University of Colorado-Boulder for The Teacher and Social Emotional Learning (SEL) Specialization? Check out "How you can earn 3 university credits from the University of Colorado-Boulder for this specialization" reading in the first week of this course for more information.
Execution and Evaluation
University of Colorado Boulder (via Coursera)
By completing this course, you will master the skills needed to execute effective social media planning, analyze data to gauge its impact, and evaluate and revise your strategies for optimal performance. This course will guide you through implementing a comprehensive social media plan and evaluating its success using various tools to gather consumer data. You will learn to develop targeted, effective social media strategies that align with your business goals. You will create and refine a social media plan tailored to your business, leveraging research and consumer insights to generate buzz and engage your audience. The course covers marketing communications through paid, earned, shared, and owned media, providing you with a holistic approach to social media marketing. You will receive feedback on your plan, allowing you to make necessary revisions before implementation. What makes this course unique is its practical approach, offering hands-on experience and real-world applications. By the end of the course, you will understand how your social media efforts fit into your company's broader vision and business objectives, ensuring your strategies drive meaningful results.
Data Mining Methods
University of Colorado Boulder (via Coursera)
This course covers the core techniques used in data mining, including frequent pattern analysis, classification, clustering, outlier analysis, as well as mining complex data and research frontiers in the data mining field. This course can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder Course logo image courtesy of Lachlan Cormie, available here on Unsplash: https://unsplash.com/photos/jbJp18srifE
Modes of Science Communication
University of Colorado Boulder (via Coursera)
In this course, you will explore different modalities of science communication, including oral presentations, written forms of communication, technology, and artistic media, including best practices for each.
Fundamentals of Macroscopic and Microscopic Thermodynamics
University of Colorado Boulder (via Coursera)
Course 1 first explores the basics of both macroscopic and microscopic thermodynamics from a postulatory point of view. In this view, the meaning of temperature, thermodynamic pressure and chemical potential are especially clear and easy to understand. In addition , the development of the Fundamental Relation and its various transformations leads to a clear path to property relations and to the concept of ensembles needed to understand the relationship between atomic and molecular structural properties and macroscopic properties. We then explore the relationship between atomic and molecular structure and macroscopic properties by taking a statistical point of view. Using a postulatory approach, the method for doing this is made clear. This leads to the development of the partition function which describes the distribution of molecular quantum states as a function of the independent, macroscopic thermodynamic properties.
Introduction to Data Analytics for Business
University of Colorado Boulder (via Coursera)
This course will expose you to the data analytics practices executed in the business world. We will explore such key areas as the analytical process, how data is created, stored, accessed, and how the organization works with data and creates the environment in which analytics can flourish. What you learn in this course will give you a strong foundation in all the areas that support analytics and will help you to better position yourself for success within your organization. You’ll develop skills and a perspective that will make you more productive faster and allow you to become a valuable asset to your organization. This course also provides a basis for going deeper into advanced investigative and computational methods, which you have an opportunity to explore in future courses of the Data Analytics for Business specialization.
SEL Capstone
University of Colorado Boulder (via Coursera)
In this course the instructors (Randy Testa, Ben Kirshner, Emily Price, and Dan Liston) have designed two culminating projects for the Coursera Specialization entitled – “The Teacher and SEL”. The two options include: “A Teacher Implementation Plan”, and “The Cinema, SEL, and the Classroom”. This course is a part of the 5-course Specialization “The Teacher and Social Emotional Learning (SEL)”. Interested in earning 3 university credits from the University of Colorado-Boulder for this specialization?? If so check out "How you can earn 3 university credits from the University of Colorado-Boulder for this specialization" reading in the first module of this course for additional information. We want to note that the courses in this Specialization were designed with a three-credit university course load in mind. As a participant you may notice a bit more reading content and a little less video/lecture content. Completing and passing the SEL Specialization allows the participant to apply for 3 graduate credits toward teacher re-certification and professional enhancement. We want to ensure the quality and high standards of a University of Colorado learning experience. Interested in earning 3 graduate credits from the University of Colorado-Boulder for The Teacher and Social Emotional Learning (SEL) Specialization? Check out "How you can earn 3 university credits from the University of Colorado-Boulder for this specialization" reading in the first week of this course for more information.
Ready to Roll – The Video Production Process
University of Colorado Boulder (via Coursera)
If you’ve done your pre-production thoroughly, then you should feel confident moving on to this next step — gathering the raw materials that you will use to build your visual story. These raw materials are your camera shots, including b-roll and interviews. The production stage is where you will finally collect the images and sound that will communicate directly to your audience. We’ll show you how to enhance your visual story by raising the quality of your shots: getting proper exposure, using the rule of thirds; and shooting sequences that promote continuity. We’ll also cover the importance of sound in your production, from recording natural sounds to interviews. Would you like to add mood and atmosphere to your interviews? We’ll teach you how to light an interview to help your subject look their best. Think of your footage as visual evidence that shows, not just tells your story.
Whole Class with PhET for STEM Education
University of Colorado Boulder (via Coursera)
PhET Interactive Simulations ( https://phet.colorado.edu), a project of the University of Colorado Boulder, provides fun, free, interactive, research-based science and mathematics simulations for use across, primary, secondary, and higher education levels. We extensively test and evaluate each simulation to ensure educational effectiveness. All simulations are open source and free to all students and teachers. In this course, you will learn strategies for how to use PhET in circumstances where you are presenting a simulation in front of the whole class using a projector, interactive whiteboard, or while sharing your screen online. This course is the second in the specialization “Active Learning in STEM with PhET Interactive Simulations,” which includes 4 courses in total. To finish this course, you need to complete two of three possible assignments with Peer Review: 1) Whole Class Inquiry, 2) Interactive Lecture Demonstrations, 3) Concept Questions. This course is also available in Spanish as “Clase Entera con PhET para la Educación STEM” and Portuguese as "A Turma Toda com Simulações PhET para Educação STEM".
Data Processing and Manipulation
University of Colorado Boulder (via Coursera)
The "Data Processing and Manipulation" course provides students with a comprehensive understanding of various data processing and manipulation concepts and tools. Participants will learn how to handle missing values, detect outliers, perform sampling and dimension reduction, apply scaling and discretization techniques, and explore data cube and pivot table operations. This course equips students with essential skills for efficiently preparing and transforming data for analysis and decision-making. Learning Objectives: 1. Understand the importance of data processing and manipulation in the data analysis pipeline. 2. Learn techniques to handle missing values in datasets, including imputation and exclusion strategies. 3. Identify and detect outliers to assess their impact on data analysis and decision-making. 4. Explore sampling methods and dimension reduction techniques for large datasets and high-dimensional data. 5. Apply data scaling techniques to normalize and standardize variables for meaningful comparisons. 6. Utilize discretization to transform continuous data into categorical representations, simplifying analysis. 7. Understand the concept of data cube and perform multidimensional aggregation for exploratory analysis. 8. Create pivot tables to summarize and reshape data, gaining valuable insights from complex datasets. Throughout the course, students will actively engage in practical exercises and projects, allowing them to apply data processing and manipulation techniques to real-world datasets. By the end of the course, participants will be well-equipped to effectively prepare, clean, and transform data for subsequent analysis tasks and data-driven decision-making.
Ethical Issues in Computing Applications
University of Colorado Boulder (via Coursera)
Computing systems and technologies fundamentally impact the lives of most people in the world, including how we communicate, get information, socialize, and receive healthcare. This course is the third of a three course sequence that examines ethical issues in the design and implementation of computing systems and technologies, and reflects upon the broad implication of computing on our society. It covers medical applications, uses of robotics, autonomous vehicles, and the future of work. This course can be taken for academic credit as part of CU Boulder’s MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
Water in the Western United States
University of Colorado Boulder (via Coursera)
Water is important to all of us. Water connects people through place, memory, and community. But in places where water is scarce, like the Western United States, water can also be contentious and divisive. How then do we overcome the challenges associated with increased water scarcity while honoring the diverse perspectives of people who rely on shared water? In this course, you will learn about water and climate in the Western United States and join a community of thousands of learners to gain insight into the major legal, political, and cultural issues that make water so complex in the region.
Sustainable and Resilient Operations Management
University of Colorado Boulder (via Coursera)
Operations management involves the strategic use of company resources to create value and meet market demands. As customer expectations evolve, there is a growing emphasis on the environmental impact of the products we design and manufacture. Innovative companies such as Siemens Digital Industries Software recognize this need and have partnered with the University of Colorado Boulder to create this course that equips you with the knowledge and skills to implement sustainable operations management practices. In Sustainable and Resilient Operations Management, you will explore concepts such as the circular economy, focusing on minimizing waste and maximizing resource efficiency. The course is for anyone who is interested in how companies can responsibly design products and operational processes to reduce waste and become more circular. This course was developed in collaboration with Siemens Digital Industries Software and is part of the "Design for the Circular Economy" collection. Learners who complete and pass the course can receive an industry-recognized digital badge. The “Design for the Circular Economy” microcredential and graduate certificate are developed around the educational goals of providing technical, business, and leadership knowledge and skills that inspire the transformation towards a more circular economy. This includes gaining technical knowledge to apply circular economy principles in product design, minimizing waste and maximizing impact; developing business acumen to implement innovative circular economic models that prioritize sustainability and resilience; and acquiring leadership strategies to communicate effectively and inspire change within an organization. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management ...
Introduction to Computer Vision
University of Colorado Boulder (via Coursera)
Introduction to Computer Vision guides learners through the essential algorithms and methods to help computers 'see' and interpret visual data. You will first learn the core concepts and techniques that have been traditionally used to analyze images. Then, you will learn modern deep learning methods, such as neural networks and specific models designed for image recognition, and how it can be used to perform more complex tasks like object detection and image segmentation. Additionally, you will learn the creation and impact of AI-generated images and videos, exploring the ethical considerations of such technology. This course can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
The Nuts and Bolts of Public Relations
University of Colorado Boulder (via Coursera)
This course focuses on the strategic decision-making that is necessary in effective public relations practice. Learners develop audience-centered messages while learning to adapt communication across platforms and contexts. The course examines the role of social media influencers within public relations and emphasizes evaluation and measurement to assess communication effectiveness.
Algorithms for Searching, Sorting, and Indexing
University of Colorado Boulder (via Coursera)
This course covers basics of algorithm design and analysis, as well as algorithms for sorting arrays, data structures such as priority queues, hash functions, and applications such as Bloom filters. Algorithms for Searching, Sorting, and Indexing can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.
Preparar Atividades PhET para Educação STEM
University of Colorado Boulder (via Coursera)
O projeto Simulações Interativas PhET (https://phet.colorado.edu/pt_BR), da Universidade do Colorado em Boulder, oferece simulações de ciências e matemática divertidas, gratuitas, interativas e baseadas em pesquisa para uso no ensino fundamental, médio e superior. Cada simulação foi extensivamente testada e avaliada para garantir que seja adequada para fins educacionais. Além disso, todas as simulações são de código aberto e gratuitas, tanto para alunos como para professores. Neste curso, você estudará estratégias sobre como usar PhET para criar atividades de aprendizagem ativa baseadas em simulação para aulas de matemática ou ciências, incluindo folhas de atividades que os alunos podem usar enquanto trabalham de individualmente ou em grupos, com acesso direto às simulações em seus próprios dispositivos. Para concluir este curso, você deve concluir duas tarefas de revisão por pares: 1) Avaliar e melhorar uma folha de atividades do banco de dados PhET e 2) criar sua própria folha de atividades de ciências ou de matemática que integre simulações PhET. Este curso é o terceiro do programa de cursos integrados “Aprendizagem Ativa em STEM com Simulações Interativas PhET”, que inclui 4 cursos no total. Este curso também está disponível em inglês como “Activity Design with PhET Simulations for STEM Education” e em espanhol como "Diseño de Actividades con Simulaciones PhET para STEM".
Introduction to Corporate Sustainability
University of Colorado Boulder (via Coursera)
This course explores foundational sustainability concepts, including the economic, environmental, and social dimensions. Learners will explore key frameworks such as the Sustainable Development Goals (SDGs), Corporate Social Responsibility (CSR), and Environmental, Social, and Governance (ESG) criteria, and examine the impact of climate change on business operations. The course also covers carbon management, circular economy principles, and systems thinking to integrate sustainable practices into business strategies.
Fundamentals of Visualization & Design with Tableau
University of Colorado Boulder (via Coursera)
This beginner Tableau course introduces you to Tableau and what makes visualizations interesting and powerful. You'll identify components of visualizations that make easy-to-understand charts, explore and examine the use of visualizations in external media and daily life, and finally you'll build simple visualizations in Tableau. By the end of this course you will have a firm grasp on the Tableau essentials and be perfectly adept at handling basic visualization techniques within the tool. Photo by Bilal Mansuri on Unsplash
Data Collection and Integration
University of Colorado Boulder (via Coursera)
The "Data Collection and Integration" course provides students with comprehensive techniques for gathering data from diverse sources, including files, relational databases, web pages, and APIs. Participants will gain practical experience in collecting and integrating data for further processing and analysis. The course emphasizes the utilization of appropriate tools and packages, such as Pandas, Beautiful Soup, and SQL, to effectively handle real-life datasets and address data integration challenges.
Dynamic Programming, Greedy Algorithms
University of Colorado Boulder (via Coursera)
This course covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP-completeness) and using linear/integer programming solvers for solving optimization problems. We will also cover some advanced topics in data structures. This course can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
Communicating Business Analytics Results
University of Colorado Boulder (via Coursera)
The analytical process does not end with models than can predict with accuracy or prescribe the best solution to business problems. Developing these models and gaining insights from data do not necessarily lead to successful implementations. This depends on the ability to communicate results to those who make decisions. Presenting findings to decision makers who are not familiar with the language of analytics presents a challenge. In this course you will learn how to communicate analytics results to stakeholders who do not understand the details of analytics but want evidence of analysis and data. You will be able to choose the right vehicles to present quantitative information, including those based on principles of data visualization. You will also learn how to develop and deliver data-analytics stories that provide context, insight, and interpretation.
컴퓨터 비전 분야에서의 딥 러닝 응용 사례
University of Colorado Boulder (via Coursera)
이 강의는 CU 볼더 대학교의 데이터 과학 석사(MS-DS) 학위 과정의 일부로써 학점 인정이 가능하며 Coursera 플랫폼을 통해 제공됩니다. MS-DS는 CU 볼더 대학교의 응용 수학, 컴퓨터 과학, 정보 과학 및 기타 여러 학과 교수진이 모여 만든 학제간 학위 과정입니다. MS-DS는 능력에 따라 입학이 허가되고 지원 절차가 없기 때문에 컴퓨터 과학, 정보 과학, 수학 및 통계학 분야에 대해 광범위한 학부 과정을 이수하고 전문 경험이 풍부한 사람에게 이상적인 과정입니다. MS-DS 과정에 대한 정보는 링크(https://www.coursera.org/degrees/master-of-science-data-science-boulder)를 통해 확인하실 수 있습니다. 본 강의에서 여러분은 학습 및 연구 분야인 컴퓨터 비전에 대해 배웁니다. 먼저 고전적인 컴퓨터 비전 관점에서 몇 가지 컴퓨터 비전 과제와 추천 접근법을 살펴봅니다. 다음으로는 딥 러닝 기법을 소개하고 이를 동일한 문제에 적용해 보겠습니다. 그 후 결과를 분석하고 두 기법의 장단점을 알아보겠습니다. 또한 튜토리얼을 통해 최신 머신 러닝 툴 및 소프트웨어 라이브러리를 실습해봅니다. 딥 러닝을 활용할 수 있는 컴퓨터 비전 과제에는 이미지 분류, 국소화를 통한 이미지 분류, 객체 감지, 객체 분할, 얼굴 인식, 움직임 또는 자세 추정 등이 있습니다.
AI for Course Design
University of Colorado Boulder (via Coursera)
AI for Course Design is designed for instructional designers and educators and focuses on practical skills in working with generative AI for course development. Throughout the course, you'll learn to define and differentiate between AI concepts, navigate various AI models, and utilize AI tools for course creation. The course also covers ethics and limitations of AI in education, enabling you to effectively incorporate AI into your teaching methods. The course logo was generated using Runway's text to image generator.
Getting Started with Technology Startups
University of Colorado Boulder (via Coursera)
This course describes what it means to be an entrepreneur and clarifies some of the distinguishing characteristics of technology entrepreneurship. Entrepreneurial concepts, processes, & support systems are introduced from a holistic perspective. Methods and strategies for idea and opportunity recognition and development are provided to help identify new product ideas and solutions. Core concepts introduced include market gap analysis, sustainable competitive advantage, vision, mission, and customer value proposition. Getting Started with Startups can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
Computational Vision
University of Colorado Boulder (via Coursera)
In this course, we will expand on vision as a cognitive problem space and explore models that address various vision tasks. We will then explore how the boundaries of these problems lead to a more complex analysis of the mind and the brain and how these explorations lead to more complex computational models of understanding.
Project Planning and Machine Learning
University of Colorado Boulder (via Coursera)
Products don't design and build themselves. In this course, students learn how to staff, plan and execute a project to build a product. We explore sensors, which produce tremendous volumes of data, and then storage devices and file systems for storing big data. Finally, we study machine learning and big data analytics. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Electrical Engineering (MS-EE) degree offered on the Coursera platform. The degree offers targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Electrical Engineering: https://www.coursera.org/degrees/msee-boulder
Circular Product Design Frameworks and Certifications
University of Colorado Boulder (via Coursera)
Circular Product Design Frameworks and Certifications is the third and final course of the Circular Product Development for the Circular Economy specialization. The aim of this course is to explore different circular design frameworks such as the Ellen MacArthur Foundation's collaboration with IDEO to create a Circular Product Design Guide, the partnership between industry and research teams that culminated in the CIRCit Guide to Circular Product Design and Development, and Biomimicry 3.8's Guide to best practices. If the first two courses in the specialization describe what circular product and packaging design is and what it can achieve, this course is about the processes and methodologies necessary to make it happen. The course begins by examining the motivation for circular product design, highlighting what is happening at major corporations such as IKEA, as well as for regulatory mandates, such as the European Union's Ecodesign for Sustainable Products Regulation (the ESPR). The course then dives into the Ellen MacArthur Foundation-IDEO's 4-Phase Design Guide based on human-centered design and design thinking. The Circular Product Design approach defined by the CIRCit Project is also examined in detail, as it dovetails nicely into existing stage-gate product development processes. The course then briefly discusses biomimicry as an innovative way to emulate nature's solutions to today's challenges. Increasingly, consumers (and investors!) are interested in more sustainable and circular products, and one way of demonstrating a company's success is with a 3rd party certification. Therefore, the course wraps up with a focus on the Cradle-to-Cradle Products Innovation Institute’s certification process. Included in this course is a comprehensive set of tools, worksheets, and activities that can be used by any product design team interested in developing circular products that benefit both people and the environment. This course was developed in collaboration wi...
Input Filter Design
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5707, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is Course 3 in the Modeling and Control of Power Electronics course sequence. After completion of this course, you will gain an understanding of issues related to electromagnetic interference (EMI) and electromagnetic compatibility (EMC), the need for input filters and the effects input filters may have on converter responses. You will be able to design properly damped single and multi-section filters to meet the conducted EMI attenuation requirements without compromising frequency responses or stability of closed-loop controlled power converters. We strongly recommend students complete the CU Boulder Power Electronics specialization as well as Courses 1 (Averaged-Switch Modeling and Simulation) and 2 (Techniques of Design-Oriented Analysis) before enrolling in this course (the course numbers provided below are for students in the CU Boulder's MS-EE program): ● Introduction to Power Electronics (ECEA 5700) ● Converter Circuits (ECEA 5701) ● Converter Control (ECEA 5702) ● Averaged-Switch Modeling and Simulation (ECEA 5705) ● Techniques of Design-Oriented Analysis (ECEA 5706) After completing this course, you will be able to: ● Understand conducted electromagnetic interference (EMI) and the need for input filter ● Understand input filter design principles based on attenuation requirements and impedance interactions. ● Design properly damped single-stage input filters. ● Design properly damped multi-stage input filters. ● Use computer-aided tools and simulations to verify input filter design
Engineering Genetic Circuits: Abstraction Methods
University of Colorado Boulder (via Coursera)
This course introduces how to perform abstraction of genetic circuit models. The first module teaches reaction-based abstraction methods that apply steady-state approximations to reduce the complexity and improve the analysis time of these models. The second module describes piecewise approximations to simplify non-linear reaction-based models of genetic circuits. The third module presents Markov chain models and methods for analyzing them. The fourth module provides methods to abstract models even further using state-based abstraction methods. Finally, the fifth module demonstrates methods, such as infinite-state stochastic model checking, to determine the likelihood that a genetic circuit hazard will cause circuit failure. This course can also be taken for academic credit as ECEA 5935, part of CU Boulder’s Master of Science in Electrical Engineering.
Implementation of PhET Activities for STEM Education
University of Colorado Boulder (via Coursera)
PhET Interactive Simulations ( https://phet.colorado.edu/ ), a project of the University of Colorado Boulder, provides fun, free, interactive, research-based science and mathematics simulations for use across, primary, secondary, and higher education levels. We extensively test and evaluate each simulation to ensure educational effectiveness. All simulations are open source and free to all students and teachers. In this course, you will learn how to effectively design and implement a Teacher Guide that makes use of PhET’s simulations for mathematics and science. To finish this course, you need to complete two assignments with Peer Review: 1) Design a Teacher Guide that integrates an inquiry-based activity with simulations, and 2) Implement your lesson in your class, and reflect on the results. This course is the fourth and final of four courses that make up the specialization “Active Learning in STEM with PhET Interactive Simulations”. This course is also available in Spanish as “Implementación de Actividades PhET para la Educación STEM” and in Portuguese as "Implementação de Atividades PhET para Educação STEM".
The Foundation of Video Editing
University of Colorado Boulder (via Coursera)
Explore the origins behind the techniques and crafts of video editing. Uncover the methods discovered by the old masters, from the Lumiere Brothers to Georges Melies, Edwin Porter, D.W. Griffith, Sergei Eisenstein and even Charlie Chaplin. Whether you’re a beginner or have been editing for years, enhance your skills and gain fresh insights into editing techniques. Understand what the early filmmaking pioneers discovered about editing, learning how to rearrange their footage into cohesive narratives and setting the standards for modern video editing. Engage in examples among the earliest films, demonstrations, interactive peer reviews and online multimedia resources. Showcase your newfound knowledge through quizzes and exercises, and open doors to career opportunities and connections. All you need is access to basic editing software and some rudimentary skills to use it. Presented by CU Boulder Journalism Instructor Paul Daugherty and CU Boulder College of Media, Communication and Information Media Technology Manager Emilie Johnson, The Foundations of Video Editing Techniques will take you back to where it all started, to the silent era of filmmaking, an era that inspired many filmmakers across generations.
Supervised Text Classification for Marketing Analytics
University of Colorado Boulder (via Coursera)
Marketing data often requires categorization or labeling. In today’s age, marketing data can also be very big, or larger than what humans can reasonably tackle. In this course, students learn how to use supervised deep learning to train algorithms to tackle text classification tasks. Students walk through a conceptual overview of supervised machine learning and dive into real-world datasets through instructor-led tutorials in Python. The course concludes with a major project. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.
ANOVA and Experimental Design
University of Colorado Boulder (via Coursera)
This second course in statistical modeling will introduce students to the study of the analysis of variance (ANOVA), analysis of covariance (ANCOVA), and experimental design. ANOVA and ANCOVA, presented as a type of linear regression model, will provide the mathematical basis for designing experiments for data science applications. Emphasis will be placed on important design-related concepts, such as randomization, blocking, factorial design, and causality. Some attention will also be given to ethical issues raised in experimentation. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder. Logo adapted from photo by Vincent Ledvina on Unsplash
Integrated and Strategic Communication Campaigns
University of Colorado Boulder (via Coursera)
Welcome to "Integrated and Strategic Communication Campaigns", the first course of the specialization, Strategic Communication Campaigns. Ever wanted to "get the word out" or create "buzz" for your organization? This course will leave you knowing how to deliver the right message to the right audience at the right time via the right channel. You will get started by understanding the best practices for communication campaigns and learning the basics around how to tell the story that represents your brand well. You will then be able to take that story to the right channels so that it gets told internally and externally from an organizational point of view. In the final week, you will take a closer look at communication campaigns from other brands to understand how paid, earned, shared, and owned media are used. By the end of this course, you will have encountered multiple examples and strategies for strategic communication campaigns that will have you feeling more confident about creating one on your own!
The Social Media Landscape
University of Colorado Boulder (via Coursera)
By completing The Social Media Landscape course, you will gain a comprehensive understanding of social media's pivotal role in society and its power in persuasive communication within the business context. This course uniquely combines theoretical insights with practical applications, ensuring you can effectively navigate and leverage various social media channels. You will learn to define social media and its strategic use in brand communication, exploring the different types of media—paid, earned, shared, and owned—and their contributions to brand messaging. Through case studies, you will examine how successful brands develop their voice and identity, coordinate messaging strategies, and manage responsibility and liability in social media communication. Additionally, you will delve into word-of-mouth communication, user-generated content, and the importance of persuasion in marketing. You will identify organizational stakeholders and discover opportunities for engagement across different social media platforms. Understanding demographics and audience segmentation will enable you to craft messages that resonate with target audiences and drive desired behaviors. This course stands out by offering a blend of academic knowledge and real-world examples, preparing you to excel in the dynamic field of social media marketing.
Gangster Fiction: Rise of an American Antihero
University of Colorado Boulder (via Coursera)
This four-week course explores the American gangster novel as a distinctive literary genre that reveals the complexity of American identity, ambition, and moral drive. Centered on W. R. Burnett’s Little Caesar (1929), one of the foundational texts of gangster fiction, the course examines how fictional gangsters emerge as uniquely American antiheroes—figures who are admired and condemned, charismatic and isolated. Through close reading and literary analysis, students will explore characterization, narrative structure, language, religious symbolism, and public persona, while situating the gangster within broader cultural conversations about power, masculinity, and immigration. Designed for multiple ways of engaging with literature, the course offers tracks in academic analysis, book-club discussion, and creative reflection, treating gangster fiction not as a static genre but as a living form that continues to shape how we understand ambition, identity, and storytelling in American culture.
Expanding SEL
University of Colorado Boulder (via Coursera)
Social and emotional learning, or SEL, programs have flourished in schools during the last decade. In this course the instructors (Emily Price and Ben Kirshner) introduce and help you examine community based and youth-empowerment approaches to social and emotional learning. Some of these approaches address the impact of social and political systems, such as immigration and structural racism, on children’s social and emotional experiences. This course is a part of the 5-course Specialization “The Teacher and Social Emotional Learning (SEL)”. Interested in earning 3 university credits from the University of Colorado-Boulder for this specialization? If so check out "How you can earn 3 university credits from the University of Colorado-Boulder for this specialization" reading in the first module of this course for additional information. We want to note that the courses in this Specialization were designed with a three-credit university course load in mind. As a participant you may notice a bit more reading content and a little less video/lecture content. Completing and passing the SEL Specialization allows the participant to apply for 3 graduate credits toward teacher re-certification and professional enhancement. We want to ensure the quality and high standards of a University of Colorado learning experience. Interested in earning 3 graduate credits from the University of Colorado-Boulder for The Teacher and Social Emotional Learning (SEL) Specialization? Check out "How you can earn 3 university credits from the University of Colorado-Boulder for this specialization" reading in the first week of this course for more information.
Intelligent Agents and Search Algorithms
University of Colorado Boulder (via Coursera)
Intelligent Agents and Search Algorithms is your gateway to understanding how machines make decisions, solve problems, and act rationally in complex environments. In this course, you’ll explore the foundational principles that power intelligent systems—starting with agent architectures and environment types, and progressing into the design of goal-driven, rational behavior. You’ll examine how search enables AI systems to navigate uncertainty and make optimal choices, diving into uninformed and informed strategies such as breadth-first search, depth-first search, A*, and adversarial search. You’ll also learn how heuristics shape efficiency and performance—an essential concept for building scalable, high-performing AI systems. More than a theoretical overview, this course emphasizes applied skill-building. Through hands-on programming assignments and algorithm analysis, you’ll compare performance trade-offs, implement search strategies, and evaluate real-world problem-solving approaches. As part of CU Boulder’s MS in Artificial Intelligence, this course equips you with the conceptual clarity and technical foundation required for AI development, systems design, and advanced study. Whether you’re preparing to build intelligent systems or elevate your role in an AI-driven organization, mastering agents and search is a critical step forward in your career.
The Changing Status and Perception of Animals
University of Colorado Boulder (via Coursera)
In this course, we explore how mainstream understandings of animals and human-animal relationships have changed in recent years. Module 1 focuses on the roles of animals in human physical health and psychological well being. Module 2 explores animal selfhood, particularly in light of their inability to use spoken language. Finally, Module 3 examines some of the collective efforts undertaken when the treatment or use of animals comes to be seen as inhumane, immoral, and worthy of ameliorative social action.
International Marketing and Management
University of Colorado Boulder (via Coursera)
In this course, learners develop a solid understanding of how national cultures shape international human resource management, international marketing, and international business generally. The course provides an overview of international culture, human resource management (HRM), and marketing. This may seem like a peculiar grouping of topics, but successful international HR management and marketing are highly dependent on national culture. Without understanding a people’s culture, managing and selling to those people is fraught. In the first module, the many determinants of national culture are explored as well as the dimensions or characteristics of a nation’s culture. In the next module, we review the various organizational structures appropriate for international business before turning to the HR challenges of managing a diverse population of international employees. In the final two modules, we explore the many challenges of international marketing across nations and across cultures.
Introduction to Digital Advertising
University of Colorado Boulder (via Coursera)
The digital advertising landscape is complex. There are many different types of ads, including: display, video, audio, sponsored, native, social media and search. Consumer data and the ad tech that action on that data are both ubiquitous and complicated. As a result the sheer number of options available to digital marketers is hard to comprehend and manage. This course covers the major forms of digital advertising, from basic display ads to search to cutting-edge programmatic advertising concepts. The Trade Desk, the leading programmatic advertising provider, joins us as our programmatic experts and offers an actionable roadmap on how small businesses can leverage state of the art advertising technologies to accomplish business objectives. In all, this course leaves students with an understanding of digital advertising in its various forms, and how to strategically identify digital advertising opportunities.
Fandom, Social Media, and Authenticity in the Digital Age
University of Colorado Boulder (via Coursera)
"Fandom, Social Media, and Authenticity in the Digital Age" focuses your attention on the interconnected dynamics of identity, representation, interpretation, and self-reflection. It asks the question: how, where, and with whom do we inhabit the worlds of fandom and popular culture in the digital age? We will explore the role of digital media in the production of celebrity and fandom, using social media tools and platforms as a running case study. More broadly, the course is about what media studies scholar Henry Jenkins has called “participatory culture,” the processes by which bring our selves into digital spaces, establish trust and authenticity (or challenge these concepts), and negotiate identity in and amongst others. Along the way, you will develop skills in critical self-reflection and communication, as well as analysis and interpretation. You’ll audit your own social media usage, and put this learning in context with major social media presences of our era. Course-Level Learning Outcomes Define and describe the relationship between fandom, popular culture, and digital media as each impact our identity and interactions with others Apply critical self-reflection and close reading frameworks through personal and professional writing and online publication Engage with pop culture and fandom communities by leveraging online platforms to make connections and synthesize learning Reflect on your personal relationship to social media, identity, representation, and social interaction online Course 1 Skills: Personal Development Analysis Digital Literacy Writing Social Media Close Reading
Systems Engineering and Program Management
University of Colorado Boulder (via Coursera)
This course teaches the learner how to apply Systems Engineering to the overall management of a complex program. This includes tailoring the systems engineering process to the specific needs of a particular program. The risk management process is described, including how to identify risks and develop a mitigation strategy. The key management tools are described along with how the scope of a program is defined and managed according to the terms of the contract. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
Product Innovation Management
University of Colorado Boulder (via Coursera)
This third course in the product development specialization discusses the business side of product development. The course begins with an overview of marketing and pricing strategies, and how company’s price their products today. Learners are then introduced to the project’s financial business case, defining key financial metrics such as NPV, IRR and Payback Period. The course then shows how to make an effective presentation these to the executive office for funding. The course concludes with a discussion of sustainability and how to design innovative products for a circular economy. Throughout the course, the student is challenged to continue developing their own product idea, one they have followed throughout the specialization. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
Storying the Self: How Stories Shape our Identities
University of Colorado Boulder (via Coursera)
Explore how artists have come to understand their identities over time, through creative media and scholarly discussions. You will connect with your own sources of creative inspiration, and revisit a major moment in your life that has shaped who you are and how you understand yourself, with the invitation to engage with this story through literary analysis and creative expression. Discover how these themes and theories help leaders understand their own and others’ identities across the full range of human diversity, as they show up in workplaces and relationships.
Everyday Excel, Part 3 (Projects)
University of Colorado Boulder (via Coursera)
"Everyday Excel, Part 3 (Projects)" is a continuation of "Everyday Excel, Parts 1 and 2". It is a capstone, projects-based course in which you will apply what you've learned previously to more complex, somewhat open-ended projects (open-ended with respect to the fact that they can be solved in multiple ways). Each learner must complete 3"warm-up" projects (chosen from 3), 3 intermediate projects (chosen from 6), and 3 main (more difficult) projects (chosen from 5). The projects have been created to span a wide range of interests and topic areas and are anticipated to appeal to diverse learner backgrounds. It is hoped that this project-based courses will dramatically reinforce the application of Excel tools, techniques, and functions to real-world projects.
Object-Oriented Analysis and Design: Practice & Architecture
University of Colorado Boulder (via Coursera)
An applied analysis and design class that addresses the use of object-oriented techniques. Topics include domain modeling, use cases, architectural design and modeling notations. Students apply techniques in analysis and design projects. Focus is on key object-oriented practices and architectural design. This course can be taken for academic credit as part of CU Boulder’s Masters of Science in Computer Science (MS-CS) degrees offered on the Coursera platform. This fully accredited graduate degree offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
BiteSize Python for Absolute Beginners: Flow Controls
University of Colorado Boulder (via Coursera)
This course focuses on mastering Python’s control flow mechanisms, including branching, looping, and functions. It covers essential concepts such as making decisions with if, if-else, and if-elif-else structures (branching), automating repetitive tasks using while and for loops (looping), and introduces functions as a higher-level form of flow control. Advanced topics like nested, hierarchical, and recursive functions are also explored, providing learners with tools to write organized, reusable, and efficient code.
Control of Nonlinear Spacecraft Attitude Motion
University of Colorado Boulder (via Coursera)
This course trains you in the skills needed to program specific orientation and achieve precise aiming goals for spacecraft moving through three dimensional space. First, we cover stability definitions of nonlinear dynamical systems, covering the difference between local and global stability. We then analyze and apply Lyapunov's Direct Method to prove these stability properties, and develop a nonlinear 3-axis attitude pointing control law using Lyapunov theory. Finally, we look at alternate feedback control laws and closed loop dynamics. After this course, you will be able to... Differentiate between a range of nonlinear stability concepts Apply Lyapunov’s direct method to argue stability and convergence on a range of dynamical systems Develop rate and attitude error measures for a 3-axis attitude control using Lyapunov theory Analyze rigid body control convergence with unmodeled torque The material covered is taking from the book "Analytical Mechanics of Space Systems" available at https://arc.aiaa.org/doi/book/10.2514/4.105210.
Data Understanding and Visualization
University of Colorado Boulder (via Coursera)
The "Data Understanding and Visualization" course provides students with essential statistical concepts to comprehend and analyze datasets effectively. Participants will learn about central tendency, variation, location, correlation, and other fundamental statistical measures. Additionally, the course introduces data visualization techniques using Pandas, Matplotlib, and Seaborn packages, enabling students to present data visually with appropriate plots for accurate and efficient communication. Learning Objectives: 1. Understand and communicate the various aspects of statistics of datasets, including measures of central tendency, variation, location, and correlation. 2. Gain insights into basic statistical concepts and use them to describe dataset characteristics effectively. 3. Utilize Pandas for data manipulation and preparation to set the foundation for data visualization. 4. Master the utilization of Matplotlib and Seaborn to create accurate and meaningful data visualizations. 5. Choose appropriate plot types for different data types and research questions to enhance data comprehension and communication. Throughout the course, students will actively engage in practical exercises and projects, enabling them to explore statistical concepts, conduct data analysis, and effectively communicate insights through compelling visualizations. Throughout the course, students will actively engage in practical exercises and projects that involve statistical analysis and data visualization. By the end of the course, participants will be equipped with the knowledge and skills to explore, analyze, and communicate insights from datasets effectively through descriptive statistics and compelling visualizations.
Crisis Management and Crisis Communication Consulting
University of Colorado Boulder (via Coursera)
This course provides you with tools and insights for managing a crisis from a leadership perspective. If you are a leader, or work for one, you will benefit from our examination of issues management, which looks for trends that likely signal impending organizational crisis and then devising approaches to help leadership avoid that crisis. You'll also see the dominant leadership styles in organizations and how those styles affect leaders' abilities to manage a crisis. You'll see something rarely discussed in detail: what to do if you get called into a discussion with a leader about how to manage a crisis. You'll see effective, and not so effective, approaches for advising a leader encountering a crisis. You'll hear from professionals who handle leadership and organizational crises so that you can be better positioned to advise leadership confronting a crisis. As such, this course, via structured learning activities (video lectures and quizzes), will help prepare you for the near certainty that whatever organization you work for (or want to work for) will encounter a crisis.
Teamwork Skills: Communicating Effectively in Groups
University of Colorado Boulder (via Coursera)
Recently revised and updated! Effective teamwork and group communication are essential for your professional and personal success. In this course you will learn to: make better decisions, be more creative and innovative, manage conflict and work with difficult group members, negotiate for preferred outcomes, improve group communication in virtual environments, develop a better overall understanding of human interaction, and work more effectively as a team. Our goal is to help you understand these important dynamics of group communication and learn how to put them into practice to improve your overall teamwork.
Gut Check: Exploring Your Microbiome
University of Colorado Boulder (via Coursera)
Imagine if there were an organ in your body that weighed as much as your brain, that affected your health, your weight, and even your behavior. Wouldn’t you want to know more about it? There is such an organ — the collection of microbes in and on your body, your human microbiome.
Optical Efficiency and Resolution
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5601, part of CU Boulder’s Master of Science in Electrical Engineering degree. Optical instruments are how we see the world, from corrective eyewear to medical endoscopes to cell phone cameras to orbiting telescopes. This course will teach you how to design such optical systems with simple mathematical and graphical techniques. The first order optical system design covered in the previous course is useful for the initial design of an optical imaging system but does not predict the energy and resolution of the system. This course discusses the propagation of intensity for Gaussian beams and incoherent sources. It also introduces the mathematical background required to design an optical system with the required field of view and resolution. You will also learn how to analyze these characteristics of your optical system using an industry-standard design tool, OpticStudio by Zemax.
Measurement Systems Analysis
University of Colorado Boulder (via Coursera)
In this course, you will learn to analyze measurement systems for process stability and capability and why having a stable measurement process is imperative prior to performing any statistical analysis. You will analyze continuous measurement systems and statistically characterize both accuracy and precision using R software. You will perform measurement systems analysis for potential, short-term and long-term statistical control and capability. Additionally, you will learn how to assess a discrete measurement and perform analyses for internal consistency, concordance between assessors, and concordance with a standard. Finally, you will learn how to make decisions on measurement systems process improvement. This specialization can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.
Robotic Path Planning and Task Execution
University of Colorado Boulder (via Coursera)
This course, which is the last and final course in the Introduction to Robotics with Webots specialization, will teach you basic approaches for planning robot trajectories and sequence their task execution. In "Robotic Path Planning and Task Execution", you will develop standard algorithms such as Breadth-First Search, Dijkstra's, A* and Rapidly Exploring Random Trees through guided exercises. You will implement Behavior Trees for task sequencing and experiment with a mobile manipulation robot "Tiago Steel". It is recommended that you complete the first and second courses of this specialization, “Introduction to Robotics: Basic Behaviors” and "Robotic Mapping and Trajectory Generation" , before beginning this one. This course can be taken for academic credit as part of CU Boulder’s MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
Fundamental Neural Pathways For Movement
University of Colorado Boulder (via Coursera)
Fundamental Neural Pathways For Movement is the second course of the specialization "Science of Movement". This course will provide you with a deeper understanding of the intricate processes that govern our ability to move and perform complex motor tasks. In this course you will learn how generation of the activation signals required for movement can involve different parts of the nervous system. The discussion begins with the simplest neural pathways, those involving reflexes. Despite the simplicity of these pathways, the responses they produce depend on the context in which they are activated. The second type of movement to be considered will be the automatic behaviors produced by rhythmic activation signals. You will learn that these signals are constrained by the biomechanical requirements for the movement, they are modulated by the information received by the central nervous system from sensory receptors, and they are controlled by different parts of the brain. By the end of this course, you will have gained a solid understanding of the neural pathways that underlie reflexes, locomotion, and intentional actions. You will appreciate the remarkable complexity and organization of our nervous system, and how it enables us to interact with the world around us. Whether you are interested in sports science, rehabilitation, or neurology, this course will equip you with the knowledge and skills to excel.
Health, Society, and Wellness in COVID-19 Times
University of Colorado Boulder (via Coursera)
You may be encountering a world unlike any other generation. The public health crisis of the COVID-19 pandemic has created a context of pervasive uncertainty, heightened anxiety, and social isolation that overlaps with a critical time of your own learning and development. The COVID-19 pandemic also has exacerbated long-standing inequalities and disparities, and recent events in the United States have laid bare historical and current realities of racism and systemic oppression. These challenges make starting college complicated in unprecedented ways, compounded by the fact that our university settings are themselves complex and rapidly changing. These challenges also present unique opportunities for interdisciplinary and practical learning. This course aims to help you navigate this world and the new conditions for learning with knowledge and skill. We designed the course with participatory methods, which means that we asked students to take a key role as partners with faculty in designing the course content, structure, and learning experiences. Together, we sought to integrate faculty expertise with the perspectives and experiences of students to make the course material relevant to your life. In this class, we will explore perspectives on disease and society and on systemic racism and inequality with scholars in the natural sciences, social sciences, arts and humanities, education, communications and media, and engineering. Engaging these disciplines to examine the complex problems of the global pandemic and systemic racism will help you build conceptual and practical skills that you will use throughout college and beyond. In conjunction with investigating health and social crises, new and ongoing, we also will explore the science and practice of individual and community wellness. You will learn skills relevant to emotions, relationships, common mental health concerns, and learning in the age of Zoom and remote classes. You will learn practices of cooperatio...
Understanding the Campaign Components
University of Colorado Boulder (via Coursera)
Welcome to "Understanding Campaign Components", the second course of the specialization, Strategic Communication Campaigns. In this course, you will learn how to design and develop a strategic communication campaign from start to finish. You will learn how to identify a brand's communication problem and create a solution by using strategic communication methods. You will then create your very own communication campaign, by employing tactics that take a brand's target audience, reputation, and available resources into consideration. In the third week you will put all the campaign components together, from conducting research to measuring assigned key performance indicators, which allow you to implement a holistic strategy that works for the given situation. In the final week, we will talk about how to monitor your campaign after implementation in order to create long-term success for your brand or organization and you will submit your final campaign plan for peers to review. This course could benefit anyone who needs to reach an audience with intentional messaging, and can increase your skillset in the areas of marketing, advertising or public relations.
Modern Video Editing Techniques
University of Colorado Boulder (via Coursera)
Master the post-classical editing techniques that helped shape the MTV Style, characterised by fast, rapid cuts and non-linear narratives. Discover ways to enhance your visual stories, utilising visual effects like wipes and intentional jump cuts more to evoke an emotional response through visual impact. Delve into the psychology of editing and learn how to create tension and suspense. Learn the Rule of Six as conceived by award-winning editor Walter Murch and understand why we cut. Explore social media editing, using editing software that you can use to create engaging, short-form videos with elements like quick cuts, kinetic typography, music and sound effects to hook viewers immediately. Dive deeper into what makes a cut invisible, applying natural transitions that are created in-camera. Identify the different types of match cuts that shape meaning within a narrative. Examine some of the captivating editing techniques used by film director Edgar Wright. Understand the many uses of sound in your edits and why it’s important to get the eyelines to match. Finally, demonstrate your knowledge by editing a short video with footage we provide, and share it amongst your peers. At the completion of this course, you will be able to highlight your new abilities in a range of work and add to your portfolio.
Modeling and Debugging Embedded Systems
University of Colorado Boulder (via Coursera)
In this course, to study hypothetical scenarios, students learn about Digital Twins, using SystemC to model physical systems highly instrumented with sensors and actuators. We also look deeper into the Automotive and Transportation market segment, studying technologies and opportunities in that market space. Students learn techniques for debugging deeply embedded systems, then we examine technical idea promotion within a company, and learning from failures. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Electrical Engineering (MS-EE) degree offered on the Coursera platform. The degree offers targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Electrical Engineering: https://www.coursera.org/degrees/msee-boulder
International Business Entry Strategies
University of Colorado Boulder (via Coursera)
In this course, you’ll explore and evaluate the many ways businesses can engage in international commerce. You’ll start by examining the three key decisions you need to make before going global, including using a practical model to help you select the right country. Next, you’ll dig into the various modes of exporting and importing, then learn about contract entry options like licensing and franchising. You'll then get to know foreign direct investment strategies, such as forming joint ventures, pursuing mergers, or making acquisitions. The course wraps up with a personal perspective on going global—guiding you through the process of deciding to go, preparing for your move, working and living abroad, and navigating the challenges of returning home. Upon completion, you will have the confidence, skills, and practical knowledge to take a business global, choose the best entry strategies, and thrive both professionally and personally in the international arena. This course is designed for anyone interested in international business, whether you’re already involved with businesses operating globally or you’re considering expanding abroad. It will be especially valuable if you’re looking to deepen your understanding of how companies succeed in international markets and discover the many ways you can actively participate in global business opportunities.
Giving Helpful Feedback
University of Colorado Boulder (via Coursera)
This course teaches you the simple principles expert managers use to improve and motivate employee performance. You’ll never have to avoid telling an employee “the truth” again, because the seven techniques we teach will not make employees defensive or afraid. As a manager, or someone who would like to be a manager, you’ll also learn specifically what feedback is, how negative feedback is weighed more heavily than positive, and how positive feedback can super-charge behaviors such as creativity and teamwork. Giving feedback is a skill which develops over time. We give you a process you can use to improve your feedback skills and deliver it with confidence. You will find that there is a scientific basis for many of your observations and intuitions about feedback—such as, it is hard to give correctly, people don’t like it, and more. This will be reassuring as you learn how to overcome these difficulties. We hope you have a fantastic time becoming a better manager!
Data Acquisition, Risk, and Estimation
University of Colorado Boulder (via Coursera)
Engineering and Business professionals often have access to many sources of data. The best way to way to ensure your data is both valid and reliable is to plan for it ahead of time. Through this class, you will be able to plan for accurate and precise data generation, then use that data for the purpose of estimation and risk reduction related to capital investments. This specialization can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
Project Planning and Execution
University of Colorado Boulder (via Coursera)
The goal of this second course of the Project Management specialization is to provide students with skills necessary to plan and execute traditional engineering projects. Project managers must plan and manage complex projects constrained by time and budget. As part of this course, you will determine project schedules, budgets, and risk assessments. At the end of this course, you will also be able to identify and explain various quality tools and methods used in project management. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder. Logo image courtesy of Shane Rounce, available on Unsplash at https://unsplash.com/photos/DNkoNXQti3c?utm_source=email&utm_medium=referral&utm_content=photos-page-share
Statistical Estimation for Data Science and AI
University of Colorado Boulder (via Coursera)
This course introduces statistical inference, sampling distributions, and confidence intervals. Students will learn how to define and construct good estimators, method of moments estimation, maximum likelihood estimation, and methods of constructing confidence intervals that will extend to more general settings. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) and the Master of Science in Artificial Intelligence (MS-AI) degrees offered on the Coursera platform. These interdisciplinary degrees bring together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the CU degrees on Coursera are ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder. Learn more about the MS-AI program at https://www.coursera.org/degrees/ms-artificial-intelligence-boulder Logo adapted from photo by Christopher Burns on Unsplash.
Donner un feedback utile
University of Colorado Boulder (via Coursera)
Ce cours vous enseigne les principes simples que les responsables experts utilisent pour motiver les employés et améliorer leurs performances. Vous n'aurez plus jamais besoin d'éviter de dire la « vérité » à un employé car, grâce aux sept techniques que nous enseignons, les employés ne sont plus effrayés ou sur la défensive. En tant que responsable, ou si vous souhaitez devenir un responsable, vous apprendrez également de façon spécifique ce qu'est un commentaire, comment les commentaires négatifs sont reçus avec une plus grande charge émotionnelle que les commentaires positifs et comment les commentaires positifs peuvent booster des comportements tels que la créativité et le travail en équipe. Fournir des commentaires est une compétence qui se développe au fil du temps. Nous vous proposons une procédure que vous pouvez utiliser pour améliorer cette compétence et donner des commentaires en toute confiance. Vous découvrirez qu'il existe une base scientifique pour un bon nombre de vos observations et intuitions au sujet des commentaires : par exemple, il est difficile de le faire correctement, les personnes n'aiment pas cela et bien plus encore. Cela vous rassurera, à mesure que vous apprendrez à surmonter ces difficultés. Nous espérons que vous passerez d'excellents moments en devenant un meilleur responsable !
Advanced Data Structures, RSA and Quantum Algorithms
University of Colorado Boulder (via Coursera)
Introduces number-theory based cryptography, basics of quantum algorithms and advanced data-structures. This course can be taken for academic credit as part of CU Boulder’s Masters of Science in Computer Science (MS-CS) degrees offered on the Coursera platform. This fully accredited graduate degree offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
Storying the Self: (Re)Claiming our Voices
University of Colorado Boulder (via Coursera)
Engage with lived experiences and identities that have often been denied a public voice. Consider the nuanced contexts of race, gender, class, language, ability, and how these impact your position as a leader and creator. You’ll question what it means to reclaim your narrative of yourself and to engage with the strength of vulnerability as a leader and creator. In a creative exercise, you’ll engage with multiple perspectives on a past conflict and use this reflection to practice perspective-taking and listening that can generate creative work and deepen leadership skills for empathy, listening and engaging in multicultural workplaces.
Advanced Strategies for Sustainable Business
University of Colorado Boulder (via Coursera)
This course focuses on integrating sustainability into core business strategies, measuring and reporting sustainability performance, and developing human capital for sustainability. Learners will explore sustainable branding, policy advocacy, community partnerships, and compliance reporting. The course also covers innovation in sustainability, ethical perspectives, and continuous improvement processes. By the end, learners will be equipped with the knowledge to implement and lead effective sustainability initiatives within their organizations.
Business Analytics for Decision Making
University of Colorado Boulder (via Coursera)
In this course you will learn how to create models for decision making. We will start with cluster analysis, a technique for data reduction that is very useful in market segmentation. You will then learn the basics of Monte Carlo simulation that will help you model the uncertainty that is prevalent in many business decisions. A key element of decision making is to identify the best course of action. Since businesses problems often have too many alternative solutions, you will learn how optimization can help you identify the best option. What is really exciting about this course is that you won’t need to know a computer language or advanced statistics to learn about these predictive and prescriptive analytic models. The Analytic Solver Platform and basic knowledge of Excel is all you’ll need. Learners participating in assignments will be able to get free access to the Analytic Solver Platform.
Applied Sustainability Engineering
University of Colorado Boulder (via Coursera)
Applied Sustainability Engineering, the second course in the "Applied Sustainability for Technical Managers" specialization discusses the techniques used by engineers and scientists to develop and assess the environmental impact of products and processes required to make those products. It begins with a discussion of different renewable energy technologies and their economics – highlighting how continued reductions in cost have made wind and solar power the least expensive way to generate electricity. It then addresses carbon footprints and how they are determined, applying a practical example where you determine your residential and transportation carbon footprints. From there, the course transitions to defining sustainable and circular products and packaging and showcasing several examples. As Technical Managers, you’ll need metrics for determining whether a product is truly sustainable, so the course introduces techniques such as Life Cycle Assessment (LCA), Streamlined LCA (S-LCA), and the Eco-Audit methodologies. The course concludes with an overview of sustainable product design frameworks, including Cradle-to-Cradle, Design for the Circular Economy, and Biomimicry, just to name a few. This course is very practical, introducing you to several areas critical to managing and learning about sustainability initiatives, from assessing the environmental and social impacts of a product or process, to designing more sustainable and circular products. If you want to work towards having a positive impact on the planet and on society, then this course is for you! This course was developed in collaboration with Siemens Digital Industries Software and is part of the "Design for the Circular Economy" collection. Learners who complete and pass the course can receive an industry-recognized digital badge. The “Design for the Circular Economy” microcredential and graduate certificate are developed around the educational goals of providing technical, business, and leadership...
Primate Conservation
University of Colorado Boulder (via Coursera)
We are presently facing a potential extinction crisis for the order Primates (and many other life forms). In this course we will learn about threats to primate conservation globally. We will be using the, “Primates in Peril: The World’s 25 Most Endangered Primates 2018-2020” by Schwitzer et al. (2019) as a basis for the discussion of global primate populations. We will investigate conservation status, threats to conservations, success and failures within protecting our closest evolutionary cousins.
History of Medical Cannabis
University of Colorado Boulder (via Coursera)
This History of Medical Cannabis course is designed to have you think critically about past, present, and future research on the health effects of cannabis by developing a more nuanced understanding of the barriers to research as well as different approaches to research. You will learn about the history of cannabis cultivation, the legal history of cannabis or "marijuana", and the obstacles that led to the lack of science on its medicinal use. You will also learn how to critically evaluate research on the effects of cannabis and discuss the associated risks of using cannabis in the context of public health and epidemiological research. Finally, you will learn about how to administer cannabis products in ways that minimize risk and maximize any potential benefits. Obtaining this knowledge will be helpful in terms of informing public policy, public health, and personal decisions regarding the use of cannabis products.
Light Emitting Diodes and Semiconductor Lasers
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5605, part of CU Boulder’s Master of Science in Electrical Engineering degree. LEDs and Semiconductor Lasers Course Introduction You will learn about semiconductor light emitting diodes (LEDs) and lasers, and the important rules for their analysis, planning, design, and implementation. You will also apply your knowledge through challenging homework problem sets to cement your understanding of the material and prepare you to apply in your career. Course Learning Outcomes At the end of this course you will be able to… (1) Design a semiconductor light emitting diode and analyze efficiency (2) Design a semiconductor laser (3) Choose suitable semiconductor materials for light emitting devices
Biology Everywhere Foundations
University of Colorado Boulder (via Coursera)
In this course, we will explore the nature of science and biology. We will discuss what the “biology everywhere” philosophy means and the history of the “biology everywhere” project. We will also discuss what science (and biology) are as a discipline of inquiry and how chemistry is foundational to understanding biology.
Techniques of Design-Oriented Analysis
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5706, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is Course 2 in the Modeling and Control of Power Electronics course sequence. The course is focused on techniques of design-oriented analysis that allow you to quickly gain insights into models of switching power converters and to translate these insights into practical converter designs. The design-oriented techniques covered are the Extra Element Theorem and the N-Extra Element Theorem (N-EET). Through practical examples, it is shown how the EET can be used to simplify circuit analysis, to examine the effects of initially unmodeled components, and to design damping of converters such as SEPIC and Cuk to achieve high-performance closed-loop controls. The N-EET will allow you to perform circuit analysis and to derive circuit responses with minimum algebra. Modeling and design examples are supported by design-oriented MATLAB script and Spice simulations. After completion of this course, the student will gain analytical skills applicable to the design of high-performance closed-loop controlled switching power converters. We strongly recommend students complete the CU Boulder Power Electronics specialization as well as Course 1 Averaged-Switch Modeling and Simulation before enrolling in this course (the course numbers provided below are for students in the CU Boulder's MS-EE program): ● Introduction to Power Electronics (ECEA 5700) ● Converter Circuits (ECEA 5701) ● Converter Control (ECEA 5702) ● Averaged-Switch Modeling and Simulation (ECEA 5705) After completing this course, you will be able to: ● Understand statement and derivation of the Extra Element Theorem ● Apply the Extra Element Theorem to converter analysis and design problems ● Understand the statement of the N-Extra Element Theorem ● Apply the N-Extra Element Theorem to converter analysis and design problems ● Apply techniques of design-oriented analysis to...
Leading Oneself with Self-Knowledge
University of Colorado Boulder (via Coursera)
Before we can lead others well, we must first learn to lead ourselves well. Knowing thyself is the starting point on this journey. In this course, you will come to understand the importance of three forms of awareness, craft a personal identity, gain understanding of how you work best, learn to be strategic with your time and energy, manage cognitive biases, mental models and better understand your worldview. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
The Neuroscience of Personal Excellence
University of Colorado Boulder (via Coursera)
Many of us struggle to understand our actions and behavior in any given situation. Especially when pressure and stress are highest. What if we could make better decisions, create healthy habits more easily, regulate our emotions, become more mentally tough and perform well under pressure? There are certain defining moments in your life, in this course you'll learn to tap into your personal excellence when it matters. The reason we struggle often comes down to the fact that we are unaware how our engine works. The engine, in this metaphor, is our brain. It is the driving force behind our actions and behavior. Understanding how it works best is crucial to perform at your best. This course is part of the "Neuroscience of Leadership" specialization, which examines leadership techniques through the lens of social cognitive neuroscience and psychology. Utilizing the latest research, we develop a leadership practice based on the foundation of neuroscience. The focus of this course is developing your personal excellence to lead oneself better. We start with a journey through your brain and nervous system to give you a basic understanding of how the system works. You'll learn how the brain learns and creates habits. You'll come away with knowledge about decision making and problem solving. Understanding how to regulate your arousal and find your sweet spot is crucial for high performance. Lastly, you'll learn how to be more mentally tough and resilient when chaos reigns. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. ...
Computing, Ethics, and Society Foundations
University of Colorado Boulder (via Coursera)
Computing systems and technologies fundamentally impact the lives of most people in the world, including how we communicate, get information, socialize, and receive healthcare. This course is the first of a three-course sequence that examines ethical issues in the design and implementation of computing systems and technologies and reflects upon the broad implication of computing on our society. It covers ethical theories, privacy, security, social media, and misinformation. This course can be taken for academic credit as part of CU Boulder’s MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
Deep Time: Discovering an Ancient Earth
University of Colorado Boulder (via Coursera)
Ever since our ancestors ventured onto the African savanna, human beings have searched, explored, and wondered about the world. Nowadays, and certainly for most, science is the vehicle that takes us along a path towards understanding nature. It can bring us from sub-atomic realms to the most distant galaxies. Largely through the discipline of geology, science allows us to push back the mists of time and peer into a past measured in billions of years, and aptly referred to as “Deep Time.” Climb on board! This is a journey of discovery—we'll learn about the origins of science and geology itself, to our planet’s oceans, atmosphere, and crust. The focus then turns to how geologists have probed the rise and fall of the Rocky Mountains, and we conclude by considering not only the power of science but also acknowledging its inherent price and responsibility. Certificate earners demonstrate proficiency through a few short assessments and discussion prompts and are prepared to teach or apply the material.
Polar Peril
University of Colorado Boulder (via Coursera)
This course takes a detailed look at the remarkable changes unfolding in the Arctic environment, including the shrinking Arctic sea ice cover, shrinking land ice, thawing permafrost and cascading impacts on Arctic ecosystems. After a review of Arctic climates of the past, attention turns to the possible future of the Arctic’s climate and environment.
Introduction to Python Functions
University of Colorado Boulder (via Coursera)
How many times have you decided to learn a programming language but got stuck somewhere along the way, grew frustrated, and gave up? This specialization is designed for learners who have little or no programming experience but want to use Python as a tool to play with data. In the second course, Introduction to Python Functions, you are going to learn and use functions predefined in Python and Python packages, you also are able to define functions as well. You will create and use functions to make your programs reusable and adaptive. Are you ready? Let's go! Logo image courtesy of Mourizal Zativa. Available on Unsplash here: https://unsplash.com/photos/gNMVpAPe3PE
Planning with Climate Change in Mind
University of Colorado Boulder (via Coursera)
This course focuses on the climate impacts occurring and expected to occur across the United States. Our approach will be regional and sectoral, with consideration of impacts on water resources, transportation, energy, agriculture, forests, health, and coastal/marine resources. We will also look at how you can apply information about climate risks to motivate climate action in your household, in your community, or in your workplace.
Challenges of Leading Individuals in the Tech Industry
University of Colorado Boulder (via Coursera)
Great Leaders lead by example. They protect their team members, empower them, and help them to improve and grow while the team members, in turn, help the organization improve and grow. Working together with the team, they envision what the organization could be and inspire others to help execute the strategy that will take them there. Many times, they see their team members as more of a family than simply as business acquaintances. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
Activity Design with PhET Simulations for STEM Education
University of Colorado Boulder (via Coursera)
PhET Interactive Simulations ( https://phet.colorado.edu/ ), a project of the University of Colorado Boulder, provides fun, free, interactive, research-based science and mathematics simulations for use across, primary, secondary, and higher education levels. We extensively test and evaluate each simulation to ensure educational effectiveness. All simulations are open source and free to all students and teachers. In this course, we will review strategies for how to use PhET to create simulation-based active learning activities for math or science classes, including activity sheets that students can use as they work independently or in small groups while they have direct access to simulations on their own devices. To finish this course, you need to complete two assignments with Peer Review: 1) Select and evaluate an Activity Sheet and 2) Create your own Activity Sheet for science or math that integrate PhET simulations. This course is the third of four courses that make up the specialization “Active Learning in STEM with PhET Interactive Simulations”. This course is also available in Spanish as “Diseño de Actividades con Simulaciones PhET para la Educación STEM” and in Portuguese as "Desenho de Atividades com PhET para Educação STEM".
Deep Learning Applications for Computer Vision
University of Colorado Boulder (via Coursera)
In this course, you’ll be learning about Computer Vision as a field of study and research. First we’ll be exploring several Computer Vision tasks and suggested approaches, from the classic Computer Vision perspective. Then we’ll introduce Deep Learning methods and apply them to some of the same problems. We will analyze the results and discuss advantages and drawbacks of both types of methods. We'll use tutorials to let you explore hands-on some of the modern machine learning tools and software libraries. Examples of Computer Vision tasks where Deep Learning can be applied include: image classification, image classification with localization, object detection, object segmentation, facial recognition, and activity or pose estimation. This course can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
Introduction to Machine Learning: Unsupervised Learning
University of Colorado Boulder (via Coursera)
Introduction to Machine Learning: Unsupervised Learning explores how machines uncover structure, patterns, and relationships in data without labeled outcomes. In this course, you’ll learn how to analyze and visualize high-dimensional data using Principal Component Analysis, discover natural groupings through clustering methods like K-Means and hierarchical clustering, and tackle real-world challenges such as missing data and recommender systems. Through hands-on practice and thoughtful interpretation, you’ll build the intuition and practical skills needed to extract insight from complex, unlabeled datasets. This course can be taken for academic credit as part of CU Boulder’s Masters of Science in Computer Science (MS-CS), Master of Science in Artificial Intelligence (MS-AI), and Master of Science in Data Science (MS-DS) degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Artificial Intelligence: https://www.coursera.org/degrees/ms-artificial-intelligence-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder
Fundamentals of Data Visualization
University of Colorado Boulder (via Coursera)
Data is everywhere. Charts, graphs, and other types of information visualizations help people to make sense of this data. This course explores the design, development, and evaluation of such information visualizations. By combining aspects of design, computer graphics, HCI, and data science, you will gain hands-on experience with creating visualizations, using exploratory tools, and architecting data narratives. Topics include user-centered design, web-based visualization, data cognition and perception, and design evaluation. This course can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
Nanophotonics and Detectors
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5606, part of CU Boulder’s Master of Science in Electrical Engineering degree. Nanophotonics and Detectors Introduction This course dives into nanophotonic light emitting devices and optical detectors, including metal semiconductors, metal semiconductor insulators, and pn junctions. We will also cover photoconductors, avalanche photodiodes, and photomultiplier tubes. Weekly homework problem sets will challenge you to apply the principles of analysis and design we cover in preparation for real-world problems. Course Learning Outcomes At the end of this course you will be able to… (1) Use nanophotonic effects (low dimensional structures) to engineer lasers (2) Apply low dimensional structures to photonic device design (3) Select and design optical detector for given system and application
#talkmentalillness
University of Colorado Boulder (via Coursera)
I am a professor and mental health researcher and educator, and I’ve been working in the field for over 15 years. Like so many of my colleagues, however, I was unprepared for the wave of mental health challenges that would face our society in 2020. From COVID-19 and the devastating economic impacts of the pandemic to racial justice protests, widespread natural disasters, our current cultural moment presents unprecedented mental health concerns, and particularly for marginalized communities. For this reason, I led a field-wide call to action for mental health research and treatment that resulted in this TalkMentalIllness course. I had the opportunity to speak to over 30 experts from different domains in psychology research, practice, and popular public figures and to discuss the causes and cutting-edge treatments for many serious disorders, the stigma surrounding mental illness in our culture, systemic inequality in mental health treatment, and the mental health challenges of today. talkmentalillness curates the interviews from the Mental Health Experts series into an accessible learning experience that will help you have conversations about mental health. Talking about mental illness is both the content and desired outcome of this course, as you will use what you learn from my interviews with mental health experts to guide your own discussions about mental health challenges and treatments with family members, friends, colleagues, and other people in your life. The course will begin by presenting a core set of definitions for mental illness and analyzing the stigma associated with it. We will then apply these topics to specific psychological disorders, including anxiety and mood disorders, eating disorders, suicide, substance use, and psychosis. We will then consider how these issues disproportionately impact marginalized groups and communities of color. The course will conclude by considering innovative approaches to psychological treatments and how the pursuit ...
Strategies for Effective Engagement
University of Colorado Boulder (via Coursera)
Engaging stakeholders with clarity and purpose is a key skill for business professionals working across strategy, operations, sustainability, and innovation. Strong engagement leads to better insights, stronger partnerships, and more effective outcomes. This course provides the tools and techniques to engage confidently in dynamic environments. You’ll learn how to conduct rapid assessments, map systems and stakeholders, and use interviews, focus groups, and surveys to gather meaningful data. Each skill is designed to help you understand context, uncover opportunities, and strengthen alignment. By the end of the course, you’ll be able to lead conversations that build trust, surface insights, and support informed, collaborative decision-making. What You’ll Learn: Use engagement tools to surface insights and support data-informed decisions. Build trust and rapport with stakeholders through thoughtful, ethical practices. Map systems and stakeholder networks to reveal connections and opportunities. Apply interviews, focus groups, and surveys to guide strategy and implementation.
Current-Mode Control
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5708, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is Course 4 in the Modeling and Control of Power Electronics course sequence. The course is focused on current-mode control techniques, which are very frequently applied in practical realizations of switched-mode. Practical advantages of peak current mode control are discussed, including built-in overcurrent protection, simpler and more robust dynamic responses, as well as abilities to ensure current sharing in parallel connected converter modules. For peak current-mode controlled converters, slope compensation, and high-frequency effects are discussed in detail. Upon completion of the course, you will be able to understand, analyze, model, and design high-performance current-mode controllers for dc-dc power converters, including peak current-mode controllers and average current-mode controllers. We strongly recommend students complete the CU Boulder Power Electronics specialization as well as Course 1 (Averaged-Switch Modeling and Simulation) before enrolling in this course (the course numbers provided below are for students in the CU Boulder's MS-EE program): ● Introduction to Power Electronics (ECEA 5700) ● Converter Circuits (ECEA 5701) ● Converter Control (ECEA 5702) ● Averaged-Switch Modeling and Simulation (ECEA 5705) After completing this course, you will be able to: ● Understand the operating principles and benefits of current-mode control for dc-dc converters ● Model and design peak current-mode controlled dc-dc converters ● Model and design average current-mode controlled dc-dc converters ● Use computer-aided tools and simulations to verify current-mode controlled dc-dc converters
Policy, Technology, and Carbon Free Cities
University of Colorado Boulder (via Coursera)
Welcome to Policy, Technology, and Carbon Free Cities, the second course in the Building Sustainable Cities Specialization. This course is intended to build upon foundational concepts introduced in the first course, Climate Resilience and Urban Sustainability. Through Policy, Technology, and Carbon Free Cities, you will gain the ability to apply a comprehensive toolkit of policy and technology innovations to bolster community resilience. You will develop strategies to implement urban sustainability and climate resilience policies effectively and evaluate opportunities to enhance your community through innovative approaches. You will benefit from an in-depth understanding of sustainability practices through case studies and learn how these can be scaled to larger communities. The course uniquely emphasizes the role and authority of local governments and citizens in decision-making processes, equipping you with the skills to engage the public effectively. Policy, Technology, and Carbon Free Cities stands out by offering insights into cutting-edge and traditional technologies that drive sustainability and resilience. Through interviews with experts and real-world examples, you will explore diverse strategies, including carbon removal and smart city innovations. Additionally, the course examines the impact of local policies on urban development and public health, providing a holistic view of sustainable urban planning. By the end, you will be prepared to create a vision for future cities, leveraging smart technologies and policy innovations to address climate challenges.
Manage Abrasive Workplace Behavior With Backbone
University of Colorado Boulder (via Coursera)
Abrasive employees rub their coworkers the wrong way, with behaviors ranging from mild offense to open attack. Their bullying behaviors cause interpersonal friction that grates on subordinates, peers, and often superiors, eroding motivation and disrupting the smooth flow of work. Employees in leadership roles can inflict especially deep wounds and intense suffering in coworkers, customers, clients, patients and/or students, disrupting productivity. Managing abrasive workplace behavior is no easy task, and doing it ineptly, or failing to do it altogether can have disastrous consequences for your organization, your employees, and you. What does it take to successfully manage abrasive workplace behavior? It takes courageous intervention paired with psychological insight, otherwise known as Management Backbone. This course provides step-by-step guidance on how to confidently and compassionately intervene to stop the individual suffering and organizational disruption caused by abrasive workplace behavior.
Analytical Mechanics for Spacecraft Dynamics
University of Colorado Boulder (via Coursera)
This course is part 2 of the specialization Advanced Spacecraft Dynamics and Control. It assumes you have a strong foundation in spacecraft dynamics and control, including particle dynamics, rotating frame, rigid body kinematics and kinetics. The focus of the course is to understand key analytical mechanics methodologies to develop equations of motion in an algebraically efficient manner. The course starts by first developing D’Alembert’s principle and how the associated virtual work and virtual displacement concepts allows us to ignore non-working force terms. Unconstrained systems and holonomic constrains are investigated. Next Kane's equations and the virtual power form of D'Alembert's equations are briefly reviewed for particles. Next Lagrange’s equations are developed which still assume a finite set of generalized coordinates, but can be applied to multiple rigid bodies as well. Lagrange multipliers are employed to apply Pfaffian constraints. Finally, Hamilton’s extended principle is developed to allow us to consider a dynamical system with flexible components. Here there are an infinite number of degrees of freedom. The course focuses on how to develop spacecraft related partial differential equations, but does not study numerically solving them. The course ends comparing the presented assumed mode methods to classical final element solutions. The material covered is taking from the book "Analytical Mechanics of Space Systems" available at https://arc.aiaa.org/doi/book/10.2514/4.105210.
Value Creation and Building Enduring Relationships
University of Colorado Boulder (via Coursera)
The most effective leaders in complex technical organizations are successful leading the performance of large-scale technical endeavors. These leaders have generally established a network of professional relationships, supporting them throughout their career. This third Leading Technical Organizations course, "Value Creation and Building Enduring Relationships", explores techniques for building relationships that have a multiplicative impact on business success. The course provides insight into how authentic leadership yields employee engagement that is critical to strategizing, planning and performing large scale technical endeavors. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
Algebra and Differential Calculus for Data Science
University of Colorado Boulder (via Coursera)
Are you interested in Data Science but lack the math background for it? Has math always been a tough subject that you tend to avoid? This course will teach you the most fundamental Calculus concepts that you will need for a career in Data Science without a ton of unnecessary proofs and techniques that you may never use. Consider this an expressway to Data Science with approachable methods and friendly concepts that will guide you to truly understanding the most important ideas in Differential Calculus. We will review some algebra basics, talk about what a derivative is, compute some simple derivatives and apply the basics of derivatives to graphing and maximizing functions. This course is designed to prepare learners to successfully complete Statistical Modeling for Data Science Application, which is part of CU Boulder's Master of Science in Data Science (MS-DS) program. Logo courtesy of ThisisEngineering RAEng on Unsplash.com
Developing a Systems Mindset
University of Colorado Boulder (via Coursera)
In fast-changing business environments, success depends on your ability to navigate complexity, connect the dots across teams and functions, and align diverse stakeholder interests. That requires more than technical know-how—it requires a systems mindset. This course equips business professionals with the tools and perspective to lead more effectively in complex situations. Whether you're working in strategy, operations, sustainability, or innovation, you’ll learn to see the bigger picture, identify root causes, and design solutions that create lasting value. You’ll gain practical skills for engaging with internal teams, external partners, and communities—especially when working across organizational or sector boundaries. From initial requests for support to designing responsive project plans, this course helps you move from reaction to intention. What You’ll Learn: Apply systems thinking to real-world business challenges and organizational goals. Identify patterns, relationships, and leverage points to solve complex problems. Build credibility and trust with stakeholders inside and outside your organization. Develop responsive, cross-functional strategies rooted in context and collaboration.
Statistics and Data Analysis with R
University of Colorado Boulder (via Coursera)
This course is the third course in a 3-part specialization entitled "Statistics and Applied Data Analysis." The course is meant for those familiar with statistics but unfamiliar with the programming language R. The purpose of this course is to teach learners how to use the popular open-source (and thus, free) integrated development environment RStudio to perform basic and complex statistical calculations. After an introduction to basic calculations, vector, matrices, data frames, and how to import data from common file types (.xlsx, .csv, .txt), learners are taught how to solve probability and counting problems in R, followed by discrete and continuous probability distribution calculations, one-sample hypothesis tests, and two-sample hypothesis tests (comparisons). Finally, participants will learn how to create regression models in R and perform analysis of variance (ANOVA). One of the most beneficial aspect of the course are the programming assignments, which are completed online in the R programming language in Jupyter notebooks.
Sustainable Cities Case Studies
University of Colorado Boulder (via Coursera)
Welcome to Sustainable Cities Case Studies, the third and final course in the Building Sustainable Cities Specialization. This course is intended to build upon foundational concepts and ideas developed in the previous two courses. Upon completing Sustainable Cities Case Studies, you will be able to analyze and evaluate practical strategies for urban sustainability and resilience in context. You will gain insights by exploring significant events and locations, such as the August 2023 wildfire on Maui. You will also examine the effects of transit-oriented development in Washington DC, the development of bicycle infrastructure in Copenhagen, and urban agriculture in Singapore. These case studies will provide a diverse understanding of how different cities address sustainability and resilience challenges. You will benefit from a comprehensive understanding of best practices in urban sustainability and climate resilience, using real-world examples to inform and put this knowledge into context. You will develop a vision for creating sustainable and resilient cities in the future, focusing on practical, actionable strategies. Sustainable Cities Case Studies uniquely integrates diverse global perspectives, providing you with the tools to assess and formulate plans that address ecological, policy, and social contexts, ultimately preparing you to contribute effectively to urban resilience initiatives.
Averaged-Switch Modeling and Simulation
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5705, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is Course 1 in the Modeling and Control of Power Electronics course sequence. The course is focused on practical design-oriented modeling and control of pulse-width modulated switched mode power converters using analytical and simulation tools in time and frequency domains. A design-oriented analysis technique known as the Middlebrook's feedback theorem is introduced and applied to analysis and design of voltage regulators and other feedback circuits. Furthermore, it is shown how circuit averaging and averaged-switch modeling techniques lead to converter averaged models suitable for hand analysis, computer-aided analysis, and simulations of converters. After completion of this course, the student will be able to practice design of high-performance control loops around switched-mode power converters using analytical and simulation techniques. We strongly recommend students complete the CU Boulder Power Electronics specialization before enrolling in this course (course numbers provided for students in CU Boulder's MS-EE program): ● Introduction to Power Electronics (ECEA 5700) ● Converter Circuits (ECEA 5701) ● Converter Control (ECEA 5702) After completing this course, you will be able to: ● Explain operation and modeling of switched-mode power converters ● Model open-loop transfer functions and frequency responses ● Design closed-loop regulated switched-mode power converters ● Verify operation of switched-mode power converters by simulations ● Understand the Feedback Theorem principles ● Apply the Feedback Theorem to practical design examples ● Derive averaged switch models of and averaged circuit models of power converters ● Apply averaged-switch modeling techniques to analysis and design and simulations of power converters
Resilience & Leadership: Design, Development, & Integration
University of Colorado Boulder (via Coursera)
Resilience & Leadership: Design, Development, & Integration is the third course of the ‘Resilience Engineering and Leadership in Crisis’ specialization. This course emphasizes the importance of practices like organizational learning and adaptive change management amid uncertainty. Resilience engineering principles and strategies are combined with critical leadership knowledge and skills essential to navigating unanticipated catastrophic disruptions. Learners will integrate selective assignments from the previous courses in this specialization (Resilience & Leadership: Concepts, Definitions, & Frameworks, and Resilience & Leadership: Tools, Methods, & Applications) to construct a comprehensive resilience report using the project scenario they identified in Course 1. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
Introduction to Power Electronics
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5700, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course introduces the basic concepts of switched-mode converter circuits for controlling and converting electrical power with high efficiency. Principles of converter circuit analysis are introduced, and are developed for finding the steady state voltages, current, and efficiency of power converters. Assignments include simulation of a dc-dc converter, analysis of an inverting dc-dc converter, and modeling and efficiency analysis of an electric vehicle system and of a USB power regulator. After completing this course, you will: ● Understand what a switched-mode converter is and its basic operating principles ● Be able to solve for the steady-state voltages and currents of step-down, step-up, inverting, and other power converters ● Know how to derive an averaged equivalent circuit model and solve for the converter efficiency A basic understanding of electrical circuit analysis is an assumed prerequisite for this course.
Moneyball and Globalization
University of Colorado Boulder (via Coursera)
This course will explore baseball’s historical connections to money and globalization, two of the most powerful forces in the modern era. Baseball may be a child’s game, but it has been inextricably intertwined with money and profit since its very inception in the late nineteenth century. The Reserve Clause, world tours, collective bargaining, expansion, bringing players from abroad, and realignment have always been driven as much or more by money than anything else.
Equivalences, Abstraction, and Partial Order Reduction
University of Colorado Boulder (via Coursera)
This course introduces methods to utilize abstraction and partial order methods to reduce the complexity of their systems models. The equivalences introduced are based upon bisimulation and simulation relations. These concepts allow one to prove that a model is an abstraction (or simplification) of another model of the same system. Abstraction reduces the complexity of the system model while preserving the ability to correctly verify properties of the system. This course will also introduce the partial order method to further reduce model complexity during verification by enabling the state space exploration to not need to consider all possible interleavings of concurrent events. This approach often provides substantial reductions in the state space of the model being verified. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Electrical and Computer Engineering (MS-ECE) degree offered on the Coursera platform. The degree offers targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Electrical and Computer Engineering: https://www.coursera.org/degrees/msee-boulder
Designing Breakthrough Advertisements: Basics to Begin
University of Colorado Boulder (via Coursera)
Designing Breakthrough Advertisements: Basics to Begin will teach you the skills to make breakthrough advertisements. In this course you will learn how to approach writing headlines and commercial scripts. We'll explore how to direct art and conquer page layouts. And we'll cover typefaces and visuals, so that you know how and when to employ them. All with the singular goal of crafting pieces of communication that will get your potential customers engaged and more likely to respond to your message. So if you're ready to do some advertising and make that investment in your business, then this is course for you. We’ll show you the best practices to make sure you're making the most effective advertisements you can make. After all, if you're taking the time to develop a marketing plan and a media placement strategy, shouldn't you also take the time to learn how to make an advertisement that won't get immediately ignored?
Dense Gases, Liquids and Solids
University of Colorado Boulder (via Coursera)
Course 4 of Statistical Thermodynamics addresses dense gases, liquids, and solids. As the density of a gas is increased, intermolecular forces begin to affect behavior. For small departures from ideal gas behavior, known as the dense gas limit, one can estimate the change in properties using the concept of a configuration integral, a modification to the partition function. This leads to the development of equations of state that are expansions in density from the ideal gas limit. Inter molecular potential energy functions are introduced and it is explored how they impact P-V-T behavior. As the density is increased, there is a transition to the liquid state. We explore whether this transition is smooth or abrupt by examining the stability of a thermodynamic system to small perturbations. We then present a brief discussion regarding the determination of the thermodynamic properties of liquids using concept of the radial distribution function (RDF), and how the function relates to thermodynamic properties. Finally, we explore two simple models of crystalline solids.
Transistor - Field Effect Transistor and Bipolar Junction Transistor
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5632, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course presents in-depth discussion and analysis of metal-oxide-semiconductor field effect transistors (MOSFETs) and bipolar junction transistors (BJTs) including the equilibrium characteristics, modes of operation, switching and current amplifying behaviors. At the end of this course learners will be able to: 1. Understand and analyze metal-oxide-semiconductor (MOS) device 2. Understand and analyze MOS field effect transistor (MOSFET) 3. Understand and analyze bipolar junction transistor (BJT)
Introducción a las Simulaciones PhET para la Educación STEM
University of Colorado Boulder (via Coursera)
PhET Interactive Simulations (https://phet.colorado.edu/es), un proyecto de la Universidad de Colorado Boulder, ofrece simulaciones científicas y matemáticas divertidas, gratuitas, interactivas y basadas en la investigación para su uso en la educación primaria, secundaria y superior. Probamos y evaluamos exhaustivamente cada simulación para garantizar la eficacia educativa. Todas las simulaciones son de código abierto y gratuitas para todos los estudiantes y profesores. En este curso, aprenderá cómo acceder y compartir simulaciones de PhET con sus alumnos, y explorará las funciones que hacen de las simulaciones de PhET una herramienta poderosa para los profesores de ciencias y matemáticas. También aprenderás sobre cómo asegurar la equidad en tu enseñanza mediante el uso de aprendizaje activo. Este curso es el primero de la especialización “Aprendizaje activo en STEM con Simulaciones Interactivas de PhET”, que incluye 4 cursos en total. Para finalizar este curso, debe completar una actividad con Revisión entre Pares: 1) Seleccionar simulaciones de PhET para tu clase. Este curso también está disponible en inglés como “Introduction to the PhET Simulations for STEM Education” y en portugués como "Introdução às Simulações PhET para Educação STEM".
Animals and Institutions
University of Colorado Boulder (via Coursera)
This course explores animals within the context of the functional relationships that sociologists call “institutions.” We first examine the use of animals in laboratory science. We then examine the controversial transformation of animals into “livestock” and "meat." We also explore the perspectives of people committed to rejecting the construction and use of animals as food. Next, we focus on some of the roles of animals in human entertainment with particular attention to dog fighting and zoos. Finally, we investigate animal health and welfare through the lens of dilemmas in veterinary medicine and decisions in animal shelters.
Network Principles in Practice: Cloud Networking
University of Colorado Boulder (via Coursera)
In Network Principles in Practice: Cloud Networking, you will learn about both the networking abstractions and services for building applications in the cloud, and the technology underlying cloud networking. You will be able to architect complex applications in the cloud. In understanding how the cloud providers created their networks, you will be in a better position to troubleshoot applications and analyze different possible ways of architecting applications, and even help design the next generation of networking for cloud providers. This course can be taken for academic credit as part of CU Boulder’s Masters of Science in Computer Science (MS-CS) degrees offered on the Coursera platform. This fully accredited graduate degree offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder Course logo by Jordan Harrison on Unsplash.
The Teacher's Social and Emotional Learning
University of Colorado Boulder (via Coursera)
Social and emotional learning, or SEL, programs have flourished in schools during the last decade. While this growth has been impressive, inadequate attention has been paid to teachers’ social and emotional learning. In this course Dan Liston and Randy Testa introduce you to various rationales for why teacher SEL is needed as well as examine and reflect on various emotions in teaching and learning. This course is a part of the 5-course Specialization “The Teacher and Social Emotional Learning (SEL)”. Interested in earning 3 university credits from the University of Colorado-Boulder for this specialization?? If so check out "How you can earn 3 university credits from the University of Colorado-Boulder for this specialization" reading in the first module of this course for additional information. We want to note that the courses in this Specialization were designed with a three-credit university course load in mind. As a participant you may notice a bit more reading content and a little less video/lecture content. Completing and passing the SEL Specialization allows the participant to apply for 3 graduate credits toward teacher re-certification and professional enhancement. We want to ensure the quality and high standards of a University of Colorado learning experience. Interested in earning 3 graduate credits from the University of Colorado-Boulder for The Teacher and Social Emotional Learning (SEL) Specialization? Check out "How you can earn 3 university credits from the University of Colorado-Boulder for this specialization" reading in the first week of this course for more information.
Model Checking with SAT and SMT
University of Colorado Boulder (via Coursera)
This course introduces the fundamentals of model checking techniques based on using SAT (Propositional Satisfiability) solving and SMT (Satisfiability Modulo Theories) solving. You will learn basic concepts of propositional SAT solving, including conflict-driven clause learning (CDCL), proof methods, and theory-specific solvers, and concepts of encoding a model checking problem as a SAT solving problem. Topics include introduction to modern propositional SAT solving techniques, encoding Boolean circuits to Conjunctive Normal Form (CNF), bounded and unbounded model checking, and basic introduction to SMT solving. This course is Ideal for those seeking to understand SAT-based model checking and apply it in practical scenarios. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Electrical and Computer Engineering (MS-ECE) degree offered on the Coursera platform. The degree offers targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Electrical and Computer Engineering: https://www.coursera.org/degrees/msee-boulder
Linux Kernel Programming and Introduction to Yocto Project
University of Colorado Boulder (via Coursera)
This course provides an introduction to Kernel Driver development for the Linux operating system. The Yocto build system is introduced, which students use to build their own custom Embedded Linux system through programming assignments. This course builds on the assignments and knowledge obtained in the Linux System Programming and Introduction to Buildroot, which must be completed before starting this course. Linux Kernel Programming and Introduction to Yocto Project can also be taken for academic credit as ECEA 5306, part of CU Boulder’s Master of Science in Electrical Engineering. This course includes specific hardware and software requirements. Please review the FAQ below for complete details.
Battery State-of-Health (SOH) Estimation
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5733, part of CU Boulder’s Master of Science in Electrical Engineering degree. In this course, you will learn how to implement different state-of-health estimation methods and to evaluate their relative merits. By the end of the course, you will be able to: Identify the primary degradation mechanisms that occur in lithium-ion cells and understand how they work Execute provided Octave/MATLAB script to estimate total capacity using WLS, WTLS, and AWTLS methods and lab-test data, and to evaluate results Compute confidence intervals on total-capacity estimates Compute estimates of a cell’s equivalent-series resistance using lab-test data Specify the tradeoffs between joint and dual estimation of state and parameters, and steps that must be taken to ensure robust estimates (honors)
(Business Writing) الكتابة في مجال الأعمال
University of Colorado Boulder (via Coursera)
لا شك أن إتقان الكتابة من أهم المهارات التي يمكنك تعلمها بُغية تحقيق النجاح في مجال الأعمال. وقد استخدمت أكثر من سبعين شركة وعشرين ألف طالب - من الكتاب المحترفين والموظفين الجدد والمتحدثين باللغة الإنجليزية لغير الناطقين بها وحتى المديرين المتمرسين - الأساليب المستخدمة في الكتابة في مجال الأعمال لتعزيز قدرتهم على التواصل وإطلاق أفكارهم. ستعلمك هذه الدورة التدريبية كيفية تطبيق المبادئ العشرة الأفضل للكتابة الجيدة في مجال الأعمال على عملك وكيفية نشر أدوات بسيطة لتحسين كتابتك بشكل كبير وكيفية تنفيذ التنظيم والبنية والمراجعة للتواصل بشكل أكثر براعة من أي وقت مضى. وستتمكن من الدرس الأول من تطبيق التعلم الجديد على الفور على عملك وتحسين كتابتك اليوم. أفكارك قوية. تعلم كيفية توصيلها بالوضوح والتأثير الذي تستحقه. "شكرًا لك على إعطائي المعرفة التي أحتاجها في الحياة، كانت [الكتابة في مجال الأعمال] مفيدة وأضفت الكثير من التغيير وأثرت تأثير ًا كبيرًا في كتابتي". - رسالة من أحد طلاب دورة الكتابة في مجال الأعمال تتيح لك المبادئ التي ستتعلمها في هذه الدورة أن تصبح كاتبًا رائعًا في مجال الأعمال. كما أنها توفر الأساس للانتقال إلى التصميم الغرافيكي والعرض التقديمي الناجح، بحيث يمكنك إطلاق العنان لأفضل ما لديك من مهارات مهنية كلما -وكيفما- تعرض أفكارك في مكان العمل.
Transforming Communities
University of Colorado Boulder (via Coursera)
Driving meaningful change in your organization requires more than internal alignment. It also depends on understanding the communities, networks, and systems your organization touches. This course equips business professionals with the tools and mindset to support change that is strategic, inclusive, and grounded in real-world context. You will explore practical methods for understanding local needs, identifying existing strengths, and working with stakeholders to co-create solutions. Topics include sustainability and resilience fundamentals, needs assessments, asset mapping, and applying systems thinking to support transitions inside and outside your organization. Whether you lead programs, manage partnerships, or support community engagement, this course helps you apply your skills in ways that strengthen relationships, uncover opportunities, and deliver value through shared outcomes. What You’ll Learn: Lead change by aligning organizational goals with community needs and assets. Apply systems thinking to guide strategic transitions across teams or regions. Use asset mapping and needs assessments to surface opportunities and guide engagement. Strengthen your ability to co-create solutions with stakeholders and partners.
Introduction to R Programming and Tidyverse
University of Colorado Boulder (via Coursera)
This course is a gentle introduction to programming in R designed for 3 types of learners. It will be right for you, if: • you want to do data analysis but don’t know programming • you know programming but aren’t familiar with R • you know some R programming but want to learn the tidyverse verbs You will learn to do data visualization and analysis in a reproducible manner and use functions that allow your code to be easily read and understood. You will use RMarkdown to create nice documents and reports that execute your code freshly every time it’s run and that capture your thoughts about the data along the way. This course has been designed for learners from non-STEM backgrounds to help prepare them for more advanced data science courses by providing an introduction to programming and to the R language. I am excited for you to join me on the journey! The course logo was created using images of stickers from the RStudio shop. Please visit https://swag.rstudio.com/s/shop.
SEL for Students: A Path to Social Emotional Well-Being
University of Colorado Boulder (via Coursera)
Social and emotional learning, or SEL, programs have flourished in schools during the last decade. In this course the instructor (Emily Price) introduces you to the history and framings of social and emotional learning preK-12 curricula, as well as various elementary, middle, and high school SEL programs and associated research. This course is a part of the 5-course Specialization “The Teacher and Social Emotional Learning (SEL)”. Interested in earning 3 university credits from the University of Colorado-Boulder for this specialization? If so check out "How you can earn 3 university credits from the University of Colorado-Boulder for this specialization" reading in the first module of this course for additional information. We want to note that the courses in this Specialization were designed with a three-credit university course load in mind. As a participant you may notice a bit more reading content and a little less video/lecture content. Completing and passing the SEL Specialization allows the participant to apply for 3 graduate credits toward teacher re-certification and professional enhancement. We want to ensure the quality and high standards of a University of Colorado learning experience. Interested in earning 3 graduate credits from the University of Colorado-Boulder for The Teacher and Social Emotional Learning (SEL) Specialization? Check out "How you can earn 3 university credits from the University of Colorado-Boulder for this specialization" reading in the first week of this course for more information.
Design of High-Performance Optical Systems
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5602, part of CU Boulder’s Master of Science in Electrical Engineering degree. Optical instruments are how we see the world, from corrective eyewear to medical endoscopes to cell phone cameras to orbiting telescopes. This course extends what you have learned about first-order, paraxial system design and optical resolution and efficiency with the introduction to real lenses and their imperfections. We begin with a description of how different wavelengths propagate through systems, then move on to aberrations that appear with high angle, non-paraxial systems and how to correct for those problems. The course wraps up with a discussion of optical components beyond lenses and an excellent example of a high-performance optical system – the human eye. The mathematical tools required for analysis of high-performance systems are complicated enough that this course will rely more heavily on OpticStudio by Zemax. This will allow students to analyze systems that are too complicated for the simple analysis thus far introduced in this set of courses.
Integral Calculus and Numerical Analysis for Data Science
University of Colorado Boulder (via Coursera)
Are you interested in Data Science but lack the math background for it? Has math always been a tough subject that you tend to avoid? This course will provide an intuitive understanding of foundational integral calculus, including integration by parts, area under a curve, and integral computation. It will also cover root-finding methods, matrix decomposition, and partial derivatives. This course is designed to prepare learners to successfully complete Statistical Modeling for Data Science Application, which is part of CU Boulder's Master of Science in Data Science (MS-DS) program. Logo courtesy of ThisisEngineering RAEng on Unsplash.com
Accountability and Employee Engagement
University of Colorado Boulder (via Coursera)
Being a successful leader in complex technical organization requires being ultimately accountable for your team’s performance and meeting commitments to all your stakeholders. This second Leading Technical Organizations course, "Accountability and Employee Engagement", explores how organizational leaders use different decision-making processes for different situations and that they are ultimately accountable for all results. You will also learn how a company’s culture affects strategy, risk and meeting stakeholder commitments. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
Technical Managerial Written Skills
University of Colorado Boulder (via Coursera)
Writing effective documents to influence teams and decision-makers is one of the essential elements of successful management. Additionally, in all of its forms, writing remains one of the primary vehicles by which a leader exercises leadership. Just like the other forms of communication, it must be coherent, complete, make a clear argument, and include appropriate decorum. This course focuses on these attributes as applied in all forms of modern written communication. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
Managing, Describing, and Analyzing Data
University of Colorado Boulder (via Coursera)
In this course, you will learn the basics of understanding the data you have and why correctly classifying data is the first step to making correct decisions. You will describe data both graphically and numerically using descriptive statistics and R software. You will learn four probability distributions commonly used in the analysis of data. You will analyze data sets using the appropriate probability distribution. Finally, you will learn the basics of sampling error, sampling distributions, and errors in decision-making. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.
Applications of Software Architecture for Big Data
University of Colorado Boulder (via Coursera)
The course is intended for individuals who want to build a production-quality software system that leverages big data. You will apply the basics of software engineering and architecture to create a production-ready distributed system that handles big data. You will build data intensive, distributed system, composed of loosely coupled, highly cohesive applications. This course can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
High Voltage Schottky and p-n Diodes
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5722, part of CU Boulder’s Master of Science in Electrical Engineering. This course is primarily aimed at first year graduate students interested in engineering or science, along with professionals with an interest in power electronics and semiconductor devices . It is the second course in the "Semiconductor Power Device" specialization that focusses on diodes, MOSFETs, IGBT but also covers legacy devices (BJTs, Thyristors and TRIACS) as well as state-of-the-art devices such as silicon carbide (SiC) Schottky diodes and MOSFETs as well as Gallium Nitride (GaN) HEMTs. The specialization provides an overview of devices, the physics background needed to understand the device operation, the construction of a device circuit model from a physical device model and a description of the device fabrication technology including packaging. This second course provides a more detailed description of high-voltage Schottky and p-n diodes, starting with the semiconductor physics background needed to analyze both types of diodes. The main properties of crystalline semiconductors are presented that lead to the calculation of carrier densities and carrier currents, resulting in the drift-diffusion model for the semiconductors of interest. Next are a close look at Schottky diodes followed by p-n diodes, with a focus on the key figures of merit including the on-resistance, breakdown voltage and diode capacitance. For each diode, the analysis is then linked to the corresponding SPICE model. Finally, the power diode losses - both on-state losses and switching losses - are examined in a convertor circuit, including a comparison of silicon p-n diodes and 4H-SiC Schottky diodes. Learning objectives: • Provide students with a detailed understanding of High-Voltage Schottky and p-n diodes. • Students will be able to calculate key diode parameters based on their physical structure. • Students will be able to construct SPICE models for...
Real-Time Embedded Systems Concepts and Practices
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5315, part of CU Boulder’s Master of Science in Electrical Engineering degree. Course Description: In this course, students will design and build a microprocessor-based embedded system application using a real-time operating system or RT POSIX extensions with Embedded Linux. The course focus is on the process as well as fundamentals of integrating microprocessor-based embedded system elements for digital command and control of typical embedded hardware systems. Lab Description: The course requires the student to install embedded Linux on the Raspberry Pi ARM A-Series System-on-Chip processor. This course must be completed using a Raspberry Pi as an embedded system (headless) not a PC running Linux. You will however find Linux as a useful host development system or Windows with an SSH terminal access tool such as Putty, MobaXterm, or equivalent. This course includes specific hardware and software requirements. Please review the FAQ below for complete details.
Everyday Excel, Part 1
University of Colorado Boulder (via Coursera)
"Everyday Excel, Part 1" is aimed at learners who are seeking to learn Excel from the ground up. No experience with Excel is necessary. While this course is meant for beginners of Excel, advanced users will undoubtedly pick up new skills and tools. This course is the first part of a three-part series and Specialization that focuses on teaching introductory through very advanced techniques and tools in Excel. In this course (Part 1), you will: 1) learn how to effectively navigate around the Excel environment; 2) edit and format Excel worksheets; 3) implement basic to advanced Excel functions (including financial, logical, and text functions); 4) learn how to manage data sets (filter, remove duplicates, consolidate data, sort data, and validate data); and 5) learn how to effectively visualize data through scatterplots, column charts, and pie charts. New to Excel? That is entirely fine! This course is meant to be fun, thought-provoking, and appeal to a wide audience. No prior knowledge in programming nor advanced math skills are necessary. The course is organized into 5 Weeks (modules). To pass each module, you'll need to pass a mastery quiz and complete a problem solving assignment. This course is unique in that the weekly assignments are completed in-application (i.e., on your own computer in Excel), providing you with valuable hands-on training.
R Programming and Tidyverse Capstone Project
University of Colorado Boulder (via Coursera)
In this third and final course of the "Expressway to Data Science: R Programming and Tidyverse" specialization you will reinforce and display your R and tidyverse skills by completing an analysis of COVID-19 data! Here is a chance to apply your skills to a real-world dataset that has effected all of us. Throughout the capstone, you will import COVID-19 data; clean, tidy, and join datasets; and develop visualizations. You will also provide some analysis and interpretation to your results, preparing you for your journey into data science. By the end of the course, you will have developed a report that you can add to or use to begin a data science portfolio. The course logo was created using images of stickers from the RStudio shop. Please visit https://swag.rstudio.com/s/shop.
(Giving Helpful Feedback) إعطاء الملاحظات المفيدة
University of Colorado Boulder (via Coursera)
الهدف من هذه الدورة التدريبية تعليمك المبادئ البسيطة التي يستخدمها المديرون الخبراء من أجل تحسين أداء الموظفين وتحفيزهم. ولن تضطر إلى تجنب إخبار الموظفين "الحقيقة" مرة أخرى بعد الآن، لأن الأساليب السبعة التي سوف نقوم بتعليمك إياها لن تجعل الموظفين خائفين أو يتخذون وضعًا دفاعيًا. كمدير، أو كشخص يرغب في أن يكون مديرًا، سوف تتعلم كذلك على وجه الخصوص ماهية الملاحظات، وكيف يتم تقييم الملاحظات السلبية بشكل أكبر من تلك الإيجابية، وكيف يمكن أن تؤثر الملاحظات الإيجابية بشكل فائق على السلوكيات مثل الإبداع والعمل الجماعي. إن إعطاء الملاحظات مهارة تتطور مع مرور الوقت. إننا نمنحك عملية يمكنك استخدامها لتحسين مهارات الملاحظات لديك وإعطاء تلك الملاحظات بكل ثقة. سوف تجد أن هناك أساس علمي للعديد من المشاهدات والبديهيات حيال تقديم الملاحظات، مثل صعوبة إعطاء الملاحظات بشكل صحيح وكره الناس لإعطاء الملاحظات وغير ذلك الكثير. وسوف يكون من المطمئن أن تعرف كيف تتغلب على تلك الصعوبات. نتمنى أن تستمتع بوقتك وأنت تتطور إلى مدير أفضل!
Ethical Issues in AI and Professional Ethics
University of Colorado Boulder (via Coursera)
Computing systems and technologies fundamentally impact the lives of most people in the world, including how we communicate, get information, socialize, and receive healthcare. This course is the second of a three course sequence that examines ethical issues in the design and implementation of computing systems and technologies, and reflects upon the broad implication of computing on our society. It covers algorithmic bias in machine learning methods, professional ethics, and issues in the tech workplace. This course can be taken for academic credit as part of CU Boulder’s MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
Stability and Capability in Quality Improvement
University of Colorado Boulder (via Coursera)
In this course, you will learn to analyze data in terms of process stability and statistical control and why having a stable process is imperative prior to perform statistical hypothesis testing. You will create statistical process control charts for both continuous and discrete data using R software. You will analyze data sets for statistical control using control rules based on probability. Additionally, you will learn how to assess a process with respect to how capable it is of meeting specifications, either internal or external, and make decisions about process improvement. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.
The Neuroscience of Leading High-Performance Teams
University of Colorado Boulder (via Coursera)
In a demanding business world, team performance matters. At a time in history when teams are less engaged and more unmotivated than ever before, this course we will help give you the competitive edge you are looking for. What if your teams were more motivated and engaged? What if we found a way to harness the primal power of storytelling to influence and collaborate with others? What if we created an environment of psychological safety and trust for the teams we lead? This course is part of the "Neuroscience of Leadership" specialization, which examines leadership techniques through the lens of social cognitive neuroscience and psychology. Utilizing the latest research, we develop a leadership practice based on the foundation of neuroscience. The focus of this course is leading and coaching high performance teams. You'll come away with new knowledge and techniques to enhance motivation, set better goals, build trust with your team, tell a compelling story, think well on your feet and coach your team effectively. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
Robotic Mapping and Trajectory Generation
University of Colorado Boulder (via Coursera)
In this second course of the Introduction to Robotics specialization, "Robotic Mapping and Trajectory Generation", you will learn how to perform basic inverse kinematics of (non-)holonomic systems using a feedback control approach. You will also learn how to process multi-dimensional sensor signals such as laser range scanners for mapping. Additionally, you will apply the overarching focus of mechanisms and sensors as sources of uncertainty and gain techniques to how to model and control them. It is recommended that you complete the first course of this specialization, “Introduction to Robotics: Basic Behaviors”, before beginning this one. This course can be taken for academic credit as part of CU Boulder’s MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
신재생 에너지 기술 기초
University of Colorado Boulder (via Coursera)
신재생 에너지는 세계에서 가장 빠르게 성장하는 산업 중 하나로, 국제 에너지 지속 가능성 목표를 달성하기 위해 매년 수십억 달러를 투자하고 있습니다. 이 강의는 풍력, 태양열과 같은 중요한 신재생 에너지 기술을 이해하고 효율적으로 사용할 수 있는 탄탄한 기반을 제공합니다. 또한 양수식 수력 발전, 배터리, 수소와 같이 중요한 에너지 저장 기술을 잘 이해할 수 있습니다. 강의를 마치면 신재생 에너지 기술의 기회와 과제를 숙지하게 됩니다.이러한 기술에 대한 토론과 의사 결정에도 수월하게 참여할 수 있습니다.강의를 통해 얻은 지식은 신재생 전력 시스템 개발, 신재생 에너지 프로젝트 수행, 신재생 에너지의 미래 예측에 대한 추가 연구 등을 위한 기초가 될 것입니다. 우리의 여정에 여러분이 함께 하길 바랍니다! 이 강의는 신재생 에너지 분야의 4개 과정 중 첫 번째입니다. • 신재생 에너지 기술 기초 • 신재생 전력 및 전기 시스템 • 신재생 에너지 프로젝트 • 신재생 에너지의 미래 과정 로고 이미지 크레딧: 나운 프로젝트(Noun Project)의 Vectors Point를 제공하는 ‘풍력 터빈’ 아이콘입니다.
Phases of Matter: Solid, Liquid, Gas and Beyond
University of Colorado Boulder (via Coursera)
Complex systems can exhibit emergent phenomena, wherein the interplay of simple underlying rules governing the constituent parts leads to rich and unexpected behavior of the whole. Condensed matter physics is the branch of physics devoted to understanding such emergence in physical systems. It is the largest subfield of physics, and has developed a wealth of ideas and techniques for taming complexity. The course provides an introduction to this physics of emergence. The course is aimed at a general audience. It assumes familiarity with algebra, and passing familiarity with basic concepts such as atoms and energy, but does not assume knowledge of advanced physics or mathematics. It is the first of a series of three courses introducing the key ideas of modern condensed matter physics. However, it can also be taken as a standalone course.
Designing Effective Science Communication
University of Colorado Boulder (via Coursera)
Although many would prefer to leave science in the past and no longer engage with it once completing compulsory science classes in school, the reality is that engaging with science is an integral part of our daily lives. Moreover, for the safety and wellness of human society, it is necessary to engage with scientific information. We are faced with the necessity of examining scientific evidence on topics ranging from conservation to public health and make decisions that impact not only our families but those around us. However, in spite of decades of science education reform and dedicated efforts to improving science literacy, many members of the general public lack the confidence, skills, or interest in engaging with scientific issues, instead choosing to align their scientific decisions with non-scientific stakeholders, such as political or pop culture figures. These problems are ongoing and destructive. How do we communicate science more effectively with the general public? With other scientists? This course is designed for scientists, science educators, and science communicators who are interested in re-thinking how we communicate science to diverse audiences, particularly to the general public. Topics include evidence-based considerations of human learning as well as effective communication through a variety of modalities, including oral presentations, written forms of communication, technology, and artistic media. The objective of this course is to equip learners with the skills needed to design and implement effective methods of science communication. Learners will be able to identify key principles of human learning that undergird science communication, describe pitfalls in “popular” avenues for science outreach, and apply best practices to science communication in a variety of media.
Advanced Topics and Future Trends in Database Technologies
University of Colorado Boulder (via Coursera)
This course consists of four modules covering some of the more in-depth and advanced areas of database technologies, followed by a look at the future of database software and where the industry is heading. Advanced Topics and Future Trends in Database Technologies can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.
Developing and Managing Sustainable Supply Chains
University of Colorado Boulder (via Coursera)
Companies are facing pressures from governments, investors, and other stakeholders to become more sustainable. At the same time, customers are demanding more circular products. Companies are also expected to meet internal environmental, social, and governance (ESG) goals while remaining profitable. Innovative companies such as Siemens Digital Industries Software recognize these challenges and have partnered with the University of Colorado Boulder to create this course that equips you with the knowledge and skills to build more sustainable and resilient supply chains. In “Developing and Managing Sustainable Supply Chains”, which is the second course in the Sustainable and Resilient Operations and Supply Chains Specialization, you will explore the integration of sustainable practices throughout the supply chain, from raw material sourcing to end-of-life management, while understanding the environmental, social, and governance (ESG) implications of these operations. The course emphasizes cutting-edge technologies such as AI and digital twins to drive efficiency and sustainability, with dedicated modules on carbon footprint reduction, fleet electrification, and circular supply chains. Through real-world case studies, peer discussions, and practical applications, you will develop skills that align with corporate sustainability strategies and be able to contribute to a more sustainable global supply chain. This course was developed in collaboration with Siemens Digital Industries Software and is part of the "Design for the Circular Economy" collection. Learners who complete and pass the course can receive an industry-recognized digital badge. The “Design for the Circular Economy” microcredential and graduate certificate are developed around the educational goals of providing technical, business, and leadership knowledge and skills that inspire the transformation towards a more circular economy. This includes gaining technical knowledge to apply circular economy princip...
Our Place in the Cosmos
University of Colorado Boulder (via Coursera)
Come aboard! If you decide to take this course, you will expand your horizon of what is possible for you in the cosmos. In Course 1 (Our Place in the Cosmos) of this four course specialization, there are 39 learning objectives spread out over 4 weeks and 10 lessons. Week 1 - You will learn about the course and the specialization as a whole as well as the method used to guide you through the material. You will also get to meet the crew of the USS Pathway to Space. As your instructor and captain, I will create a unique and hopefully fun learning environment full of surprises and moments of connection with the material. We will also discuss how wonder started it all with our first guest, Dr. Valerio Ferme with Space and Wonder. Week 2 - We have two topics and two guests this week. In A Tour of the Cosmos, with Dr. Erica Ellingson, we will guide you through all the grandeur of the cosmos from the size and scale to the timeline of its existence. In Astrophysics, with Dr. Kevin France, we will explore concept and merger of two great fields of study: Astronomy and Physics. The tools used by an astrophysicists are key to unlocking the cosmos. At the end of this week, you will have a better understanding of the cosmos and your place in it. Week 3 - Space exploration can happen in two ways. By viewing there and going there. This week we will explore both methods. Our first lesson is with Dr. Paul Hayne and Dr. Carolyn Crow on Space Exploration-Going There. We will look at the stages of exploration and how the science changes at each point. Next, we will meet Dr. Kristy Tiampo as we discuss Space Exploration-Viewing There. We will dive deep into remote sensing work around Earth and how that technique of viewing can be applied throughout the cosmos. Week 4 - This week, we will discuss some of the great science being conducted in the cosmos as well as our species search life elsewhere in the universe. We have three lessons this week. The first two are in two parts. Extend...
'Their' World and How You Define It
University of Colorado Boulder (via Coursera)
Thriving organizations strive for equity at all levels. Dynamic global DEI initiatives strengthen connectivity within individual teams and foster cross-cultural collaboration and mutual understanding while encouraging the inclusion of employees from all regions. Broader global relations aside, there also exist country-specific ethnic dynamics that make DEI a critical conversation. Global dynamics present a possible risk (and opportunity) for organizations. In this course, we will develop a more profound knowledge and understanding of diverse groups by hearing actual accounts from various marginalized populations and adopting an approach of first looking inward, then confronting ignorances, biases, and stereotypes of marginalized populations, and ending each lesson with a personal reflection. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder. Course logo image credit: Ave Calvar. Available on Unsplash at https://unsplash.com/photos/5u4L-E4eQWw
Embedded Software and Hardware Architecture
University of Colorado Boulder (via Coursera)
Embedded Software and Hardware Architecture is a first dive into understanding embedded architectures and writing software to manipulate this hardware. You will gain experience writing low-level firmware to directly interface hardware with highly efficient, readable and portable design practices. We will now transition from the Host Linux Machine where we built and ran code in a simulated environment to an Integrated Development Environment where you will build and install code directly on your ARM Cortex-M4 Microcontroller. Course assignments include writing firmware to interact and configure both the underlying ARM architecture and the MSP432 microcontroller platform. The course concludes with a project where you will develop a circular buffer data structure. In this course you will need the Texas Instruments LaunchPad with the MSP432 microcontroller in order to complete the assignments. Later courses of the Specialization will continue to use this hardware tool to develop even more exciting firmware.
Basic Elements of Design: Design Principles and Software Overview
University of Colorado Boulder (via Coursera)
Designing for an organization, while requiring technical skill, is not just about knowing how to use a pagination program such as InDesign or manipulate photos using Photoshop. A designer is a visual storyteller, a person who pairs words with images and typography to best convey information to an audience. Good design evokes emotion and presents the news of the day with clarity and the proper tone. A business card, brochure, or website that has good design provides content that is more inviting, more easily comprehensible and is faster to process. Design isn’t about “making it look pretty,” it’s also about content, layout and audience analysis.
Designing Breakthrough Static Advertisements
University of Colorado Boulder (via Coursera)
Designing Breakthrough Advertisements: Static Advertisements will teach you the skills to make breakthrough static advertisements; the advertisements that don't move. Signs, posters, billboards, flyers and everything between. In this course you will learn the history of different static advertisements, how they work, and how to approach concepting and designing them. And we explore techniques to make your advertisements stand out. So if you've ever wondered: how do I start thinking about a poster? How do I make a more effective newspaper ad? Or really any other advertisement, this is the course for you. Often, we know what we want to say, and this show teaches you how to say it. With insider tips, proven techniques, and industry best practices, you'll learn to think and design like an advertising creative. After all, if you're taking the time to develop a marketing plan and a media placement strategy, shouldn't you also take the time to learn how to make static advertisements that won't get immediately ignored?
A Blueprint for Success – Your Video Pre-Production
University of Colorado Boulder (via Coursera)
In this course, we will learn about pre-production, which requires levels of planning before you ever pick up a camera. We will share with you the terminology used widely in production work, along with our ideas for affordable camera gear and editing applications. We’ll also discuss strategies to help you generate story ideas and the focus, find characters, write treatments and scripts, draw storyboards, and even pointers on how to pitch your stories.
Data Wrangling with Python Project
University of Colorado Boulder (via Coursera)
The "Data Wrangling Project" course provides students with an opportunity to apply the knowledge gained throughout the specialization in a real-life data wrangling project of their interest. Participants will follow the data wrangling pipeline step by step, from identifying data sources to processing and integrating data, to achieve a fine dataset ready for analysis. This course enables students to gain hands-on experience in the data wrangling process and prepares them to handle complex data challenges in real-world scenarios. Throughout the course, students will work on their data wrangling project, applying the knowledge and skills gained in each module to achieve a refined and well-prepared dataset. By the end of the course, participants will be proficient in the data wrangling process and ready to tackle real-world data challenges in diverse domains.
Description Design for Interactive Learning Resources
University of Colorado Boulder (via Coursera)
This course gives you easy access to an innovative description design framework used and created by experts in description design who design descriptions for highly interactive learning resources. Interactive learning resources are common, fun, and effective tools that engage learners in the classroom and in remote learning environments. Many of these interactives rely on the visual display. This limits non-visual experiences, and makes many interactive learning resources inaccessible to learners with significant visual impairments or print- and graphics-related disabilities. Descriptions are verbalized text for supporting non-visual access. This course will show you how to create descriptions, the verbalized text, needed to make interactive learning resources (interactives) accessible to learners who are blind or have a visual impairment (learners with BVI). The course weaves together concepts from inclusive design, web accessibility, and general best practices for description design for non-visual access. The main focus of the course is learning about and using the Description Design Framework created by design researchers at PhET Interactive Simulations. Through a series of design tasks, each preempted with examples and demonstrations, the course walks you through how to design descriptions for an interactive of your choosing. While prior experience in web accessibility, interaction design, and description is useful, it is not required for this course. We share many examples from our work, and include tips and design patterns that we have created and actively use to describe our highly interactive science and math simulations. If you have an interest in creating descriptions for interactive learning resources, join us in this course. The Description Design Framework helps us take a methodical approach to the challenging task of designing descriptions for interactives, and we want to share what we know so others can design engaging descriptions that support no...
How to Implement and Evaluate Communication Campaigns
University of Colorado Boulder (via Coursera)
As the recommended third course of the specialization, Strategic Communication Campaigns, this course rounds out your communication campaign process knowledge by speaking to how to implement and evaluate the planning and execution of communication campaigns. This course offers an in-depth review of several case studies on how the specifics of paid, earned, shared, and owned media is evaluated as an example to draw from when considering your campaign plan. In the last module, you will evaluate integrated strategic campaigns to reinforce your knowledge of specific details to be aware of in the planning process. In our fast-paced and interconnected world, the ability to convey messages with impact is more critical than ever. Whether you're a seasoned communication professional looking to refine your skills or someone entirely new to the field, this course is designed to empower you with the knowledge and tools you need to create compelling campaigns and assess their effectiveness.
Basic Robotic Behaviors and Odometry
University of Colorado Boulder (via Coursera)
"Basic Robotic Behaviors and Odometry" provides you with an introduction to autonomous mobile robots, including forward kinematics (“odometry”), basic sensors and actuators, and simple reactive behavior. This course is centered around exercises in the realistic, physics-based simulator, “Webots”, where you will experiment in a hands-on manner with simple reactive behaviors for collision avoidance and line following, state machines, and basic forward kinematics of non-holonomic systems. An overarching objective of this course is to understand the role of the physical system on algorithm design and its role as source of uncertainty that makes robots non-deterministic. If you are interested in getting started with robotics, this course is for you! This course can be taken for academic credit as part of CU Boulder’s MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
Cybersecurity for Data Science
University of Colorado Boulder (via Coursera)
This course aims to help anyone interested in data science understand the cybersecurity risks and the tools/techniques that can be used to mitigate those risks. We will cover the distinctions between confidentiality, integrity, and availability, introduce learners to relevant cybersecurity tools and techniques including cryptographic tools, software resources, and policies that will be essential to data science. We will explore key tools and techniques for authentication and access control so producers, curators, and users of data can help ensure the security and privacy of the data. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.
Microcontrollers: Basic Architecture and Design
University of Colorado Boulder (via Coursera)
This course introduces students to the architecture and design of Microcontrollers (MCUs), which are small processors used in a myriad of products. The main MCU components of the processor, memory, I/O interfaces and their interconnections will be examined, with a focus on the processor. The process of optimizing performance, energy usage and cost will be explored in a project where students will begin the development of an MCU in a system context. The course will go beyond basic architecture and design to explore real-world details involved in the design of actual hardware products. Although focused on MCUs, many of these topics are relevant to the architecture and design of all types of advance digital components. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Electrical Engineering (MS-EE) degree offered on the Coursera platform. The degree offers targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Electrical Engineering: https://www.coursera.org/degrees/msee-boulder
Intro to the Arctic
University of Colorado Boulder (via Coursera)
In this course you will first learn about the Arctic as a geographic region, the peoples the Arctic, and the long history of Arctic settlement and exploration. Attention then turns to key features of the Arctic environment – its climate and weather, features of the ocean, sea ice, lands and the Greenland Ice Sheet, and some of the rapid changes being observed. Learning Objectives: Appreciate the long history of the Arctic and its peoples. Recognize and recall the physical geography of the Arctic, including major features of the Arctic Ocean and Arctic lands. Describe the key climate and environmental elements of the Arctic, including its sea ice cover, patterns of temperature, precipitation, snow cover, land ice, permafrost and vegetation, the physical processes giving rise to these features, and how they are changing.
Equivalent Circuit Cell Model Simulation
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5731, part of CU Boulder’s Master of Science in Electrical Engineering degree. In this course, you will learn the purpose of each component in an equivalent-circuit model of a lithium-ion battery cell, how to determine their parameter values from lab-test data, and how to use them to simulate cell behaviors under different load profiles. By the end of the course, you will be able to: State the purpose for each component in an equivalent-circuit model Compute approximate parameter values for a circuit model using data from a simple lab test Determine coulombic efficiency of a cell from lab-test data Use provided Octave/MATLAB script to compute open-circuit-voltage relationship for a cell from lab-test data Use provided Octave/MATLAB script to compute optimized values for dynamic parameters in model Simulate an electric vehicle to yield estimates of range and to specify drivetrain components Simulate battery packs to understand and predict behaviors when there is cell-to-cell variation in parameter values
Object-Oriented Analysis and Design: Patterns and Principles
University of Colorado Boulder (via Coursera)
An applied analysis and design class that addresses the use of object-oriented techniques. Topics include domain modeling, use cases, architectural design and modeling notations. Students apply techniques in analysis and design projects. Focus is on key object-oriented design patterns and principles. This course can be taken for academic credit as part of CU Boulder’s Masters of Science in Computer Science (MS-CS) degrees offered on the Coursera platform. This fully accredited graduate degree offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
Movement Capabilities Depend on Neuromuscular Properties
University of Colorado Boulder (via Coursera)
Movement Capabilities Depend on Neuromuscular Properties is the third course of the specialization "Science of Movement". Get ready to delve into the fascinating world of how our neuromuscular properties shape our movement capabilities in various contexts. In this course, we will explore the intricate association between our nervous system and muscles, and how they work together to determine our physical performance, adaptability, and recovery. Due to the critical role of the nervous system in human movement, the third course will examine how changes that occur with exercise training, healthy aging, and rehabilitation interventions can often be explained in terms of the adaptive capabilities of the nervous system. The first part of the third course describes the changes that take place in the neuromuscular system during fatiguing contractions, a type of strength training known as speed training, and during healthy aging. The second part of the course examines the role of the central nervous system in producing voluntary actions and the neurorehabilitation strategies that are used to recover from damage it experiences. By the end of this course, you will have gained a comprehensive understanding of how neuromuscular properties influence our movement capabilities. You will appreciate the complex interplay between our nervous system and muscles, and how they adapt and respond to different stimuli and challenges. Whether you are interested in sports science, physical therapy, or simply curious about the factors that influence our movement abilities, this course will provide you with valuable insights and knowledge.
Communication as a Technical Leader
University of Colorado Boulder (via Coursera)
An engineering leader spends a majority of their day interacting with others. Indeed, studies repeatedly point to the impact communication skills have on the ability of managerial leaders to succeed or fail. Too often, individuals move into managerial leadership roles without an awareness of the need to improve in this area. This course focuses on interpersonal skills such as listening, counseling, non-verbals, mentoring, coaching, building trust, and providing feedback. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
Introduction to FPGA Design for Embedded Systems
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5360, part of CU Boulder’s Master of Science in Electrical Engineering degree. Programmable Logic has become more and more common as a core technology used to build electronic systems. By integrating soft-core or hardcore processors, these devices have become complete systems on a chip, steadily displacing general purpose processors and ASICs. In particular, high performance systems are now almost always implemented with FPGAs. This course will give you the foundation for FPGA design in Embedded Systems along with practical design skills. You will learn what an FPGA is and how this technology was developed, how to select the best FPGA architecture for a given application, how to use state of the art software tools for FPGA development, and solve critical digital design problems using FPGAs. You use FPGA development tools to complete several example designs, including a custom processor. If you are thinking of a career in Electronics Design or an engineer looking at a career change, this is a great course to enhance your career opportunities. This course includes specific hardware and software requirements. Please review the FAQ below for complete details.
Ethical Issues in Data Science
University of Colorado Boulder (via Coursera)
Computing applications involving large amounts of data – the domain of data science – impact the lives of most people in the U.S. and the world. These impacts include recommendations made to us by internet-based systems, information that is available about us online, techniques that are used for security and surveillance, data that is used in health care, and many more. In many cases, they are affected by techniques in artificial intelligence and machine learning. This course examines some of the ethical issues related to data science, with the fundamental objective of making data science professionals aware of and sensitive to ethical considerations that may arise in their careers. It does this through a combination of discussion of ethical frameworks, examination of a variety of data science applications that lead to ethical considerations, reading current media and scholarly articles, and drawing upon the perspectives and experiences of fellow students and computing professionals. Ethical Issues in Data Science can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.
Strategies for Success in your Music Career
University of Colorado Boulder (via Coursera)
Are you a passionate musician looking to take your career to the next level? Do you dream of making your mark on the music industry, but aren't sure where to start? Achieving long-term success goes beyond talent and musical prowess. In this course, you will learn a range of critical skills that are essential for any aspiring or established musician to thrive in their career. You will take inventory of your abilities and skillsets and gain clarity on your unique strengths and areas for development. You will learn define your artistic vision, values, and purpose as a musician and learn effective strategies for setting achievable and meaningful goals that align with your mission. You will come to understand why regular evaluation and adjustment of your goals is critical to ensure that you stay on track and continuously progress towards your desired outcomes. You will also learn about life mapping, an invaluable tool to help you create a holistic plan for your musical journey. By envisioning your long-term career trajectory and mapping out milestones and desired achievements, you gain clarity on the steps needed to turn your dreams into reality. Finally, you will learn methods for expanding your professional network, nurturing relationships, and leveraging connections to create opportunities for collaboration, performance, and career advancement. With these foundational skills you'll have all the tools you need to manage your music career like a pro! This course can be taken by itself or as part of the “Musician's Professional Toolbox” specialization.
Modeling Climate Anomalies with Statistical Analysis
University of Colorado Boulder (via Coursera)
This course introduces the use of statistical analysis in Python programming to study and model climate data, specifically with the SciPy and NumPy package. Topics include data visualization, predictive model development, simple linear regression, multivariate linear regression, multivariate linear regression with interaction, and logistic regression. Strong emphasis will be placed on gathering and analyzing climate data with the Python programming language. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. The degree offers targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder
Sustainable Business Practices
University of Colorado Boulder (via Coursera)
This course provides practical approaches to integrating sustainability into business operations. Learners will explore resource efficiency, sustainable supply chain management, and stakeholder engagement. The course covers building a culture of sustainability, achieving certifications, and measuring and reporting sustainability performance. Additionally, learners will explore innovative practices and effective communication strategies to drive sustainability initiatives within their organizations.
Converter Control
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5702, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course teaches how to design a feedback system to control a switching converter. The equivalent circuit models derived in the previous courses are extended to model small-signal ac variations. These models are then solved, to find the important transfer functions of the converter and its regulator system. Finally, the feedback loop is modeled, analyzed, and designed to meet requirements such as output regulation, bandwidth and transient response, and rejection of disturbances. Upon completion of this course, you will be able to design and analyze the feedback systems of switching regulators. This course assumes prior completion of courses Introduction to Power Electronics and Converter Circuits.
The North Awakens
University of Colorado Boulder (via Coursera)
In this course, you will learn how the changing Arctic environment is tied to the growing economic and strategic importance of the North. After setting the stage through a review of the peoples of the Arctic and how they are dealing with change, Arctic governance, economies national defense, attention turns to marine use of the Arctic, oil and gas exploration, mining, fisheries and tourism. The course ends with a survey of recent Arctic events. Learning Objectives: Articulate the drivers of the growing economic and strategic importance of the Arctic in the context of the environmental changes unfolding in the region, governance, and geopolitics. Identify the impacts of the changing Arctic, both positive and negative, on the peoples of the North.
The Business, Politics, Policy, & Players of Space Programs
University of Colorado Boulder (via Coursera)
Welcome Course 3 - The Business, Politics, Policy, & Players of Space Programs. If you are here, you have successfully completed both Course 1 and 2 of this specialization. Course 3 has nine lessons spread out over 4 weeks with 31 Learning Objectives. In this course, we will discover who and what funds the exploration that we have enjoyed learning about in Course 1 and 2. We will also focus on a few specific applications of some of the concepts we have learned about so far with two companies, the Global Positioning System, and the an academic program that could be implemented at your institution of higher learning. Week 1 - There are three lessons this week that will cover a range of topics that greatly influence where space exploration has been, is today, and will go. The Politics of Space, with Jack Waldorf and Abby Benson will provide a basic overview of how space missions are funded in the US government. Space Governance with Dr. Zach Donohew and Eric Alston, JD will present the case and justification for how we as species will need to govern what we do in space. The Business of Space with Dr. Dan Baker, will cover the basics of the space industry from the size to the value of doing business in space. These topics will build on many of the others we have covered in the other courses and in the lessons ahead. Week 2 - This week's topic is Space Entrepreneurship and it is broken it into two parts. Both parts involve real-world space entrepreneurs. Part 1 is with Dr. James Stuart who has started many space companies and continues to work with other entrepreneurs as they push the boundary of what we do in space. Part 2 is with Scott Tibbitts, who has a very unique background and path to being a space entrepreneur but that did not stop him and his company from enabling NASA to explore Mars. These lessons will give you a new perspective on the impact entrepreneurs have in space exploration. Week 3 and Week 4 are application lessons where we take a deep dive into...
Sustainability and the Circular Economy
University of Colorado Boulder (via Coursera)
As the world’s population continues to rise toward an expected 10 billion citizens by 2050, it is imperative that business practices change to ensure a high quality of life is possible for all of us, both human and non-human. Today’s learners are very aware of this. Moreover, they are highly motivated and have the extraordinary capacity to create a future that provides both economic success and a more enduring, resilient, and sustainable planet. If you are one of these learners, then Sustainability and the Circular Economy is a course for you. Sustainability and the Circular Economy is the first course in the Applied Sustainability for Technical Managers specialization and builds the foundation for the rest of the specialization. It aims to provide learners with the strategies and tools to realize their vision by integrating sustainability into everyday life, and in the companies where they work. The course opens with an examination of climate change and human impact on the environment, and the opportunities created for innovative solutions that drive real change. We then explore the sources of many of our environmental challenges, and the need to transition to a zero-carbon energy future. A sustainable future is more than just renewable energy, as we need to pay attention to our ever-growing desire for products that add value to our lives. Therefore, the course explores how we’re electrifying transportation, making our homes more energy efficient, eating more sustainable food grown with regenerative agricultural practices, and wearing clothes designed to last and made from more natural materials using fair and equitable labor. It is important to recognize that many of the 10 billion global citizens will want the same products and lifestyles as citizens in wealthier industrialized nations. Yet products require materials - and our current extractive approach to resources will not meet this burgeoning demand. The course concludes with an overview of the Cir...
Introduction to Machine Learning: Supervised Learning
University of Colorado Boulder (via Coursera)
Introduction to Machine Learning: Supervised Learning offers a clear, practical introduction to how machines learn from labeled data to make predictions and decisions. You’ll build a strong foundation in regression and classification, starting with linear and logistic regression and progressing to resampling, regularization, and tree-based ensemble methods. Along the way, you’ll learn how to evaluate models, manage bias–variance trade-offs, and balance interpretability with predictive power, all while working hands-on in Python. By the end of the course, you’ll have the skills and intuition needed to confidently apply supervised learning techniques to real-world problems. This course can be taken for academic credit as part of CU Boulder’s Masters of Science in Computer Science (MS-CS), Master of Science in Artificial Intelligence (MS-AI), and Master of Science in Data Science (MS-DS) degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Artificial Intelligence: https://www.coursera.org/degrees/ms-artificial-intelligence-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder
Building Your Artistic Brand
University of Colorado Boulder (via Coursera)
Are you a musician looking to stand out in a crowded, competitive music industry? Do you want to build a distinctive brand that sets you apart from the rest? In today's world, where musical content is everywhere, developing a unique artistic brand is more important than ever. Whether you're just starting out or you're a seasoned pro looking to take your career to the next level, this course is the perfect way to gain the knowledge and skills you need to stand out from the crowd. In this course, you will explore how to develop a distinct and authentic brand identity that resonates with your audience, and gain insights in market research techniques, audience analysis, target demographics, and marketing channels. You'll gain an understanding of the principles of branding as they apply to the performing arts and learn best practices for curating and maintaining a professional online image, utilizing social media platforms effectively, and engaging with your audience. Mastering these branding skills will provide you with the essential tools to distinguish yourself from the competition and achieve success in your music career. This course can be taken by itself or as part of the “Musician's Professional Toolbox” specialization.
Real-Time Project for Embedded Systems
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5318, part of CU Boulder’s Master of Science in Electrical Engineering degree. The final course emphasizes hands-on building of an application using real-time machine vision and multiple real-time services to synchronize the internal state of Linux with an external clock via observation. Compare actual performance to theoretical and analysis to determine scheduling jitter and to mitigate any accumulation of latency. The verification of the final project will include comparison of system timestamp logs with a large set of images which can be encoded into a video. The final report will be peer reviewed and the captured frames and video uploaded for scripted assessment. Course Learning Outcomes: ● Outcome 1: Decompose a problem and set of basic real-time requirements into software modules and Linux POSIX real-time threads ● Outcome 2: Analyze services in terms of C (execution time), T (request period), and D (deadlines for completion) to establish feasibility and margin for meeting requirements ● Outcome 3: Design and construct a solution for a native Linux system equipped with a webcam to verify and demonstrate system synchronization using machine vision processing This course includes specific hardware and software requirements. Please review the FAQ below for complete details.
Security & Ethical Hacking: Attacking the Network
University of Colorado Boulder (via Coursera)
This course explains the science and art behind offensive security techniques used in penetration testing of networks and systems. A review of networking concepts is given. Students will utilize low-level programming through network interfaces, in executing a variety of network attacks, while learning to use essential auxiliary tooling for both recon and active attacks. An introduction to cryptogpahy for pentesters is provided. An understanding of python programming, C programming, and basic computer architecture is recommended. Programming experience is required. Familiarity with x86 Assembly (or some assembly language) is recommended. This course can be taken for academic credit as part of CU Boulder’s Masters of Science in Computer Science (MS-CS) degrees offered on the Coursera platform. This fully accredited graduate degree offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
Resampling, Selection and Splines
University of Colorado Boulder (via Coursera)
"Statistical Learning for Data Science" is an advanced course designed to equip working professionals with the knowledge and skills necessary to excel in the field of data science. Through comprehensive instruction on key topics such as shrink methods, parametric regression analysis, generalized linear models, and general additive models, students will learn how to apply resampling methods to gain additional information about fitted models, optimize fitting procedures to improve prediction accuracy and interpretability, and identify the benefits and approach of non-linear models. This course is the perfect choice for anyone looking to upskill or transition to a career in data science. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.
Introduction to Python Fundamentals
University of Colorado Boulder (via Coursera)
How many times have you decided to learn a programming language but got stuck somewhere along the way, grew frustrated, and gave up? This specialization is designed for learners who have little or no programming experience but want to use Python as a tool to play with data. The first course will introduce you to programming languages, with Python as an example. You are going to learn how to use variables and operators, as well as input/output and flow controls to build simple Python programs. The pace will be very slow, so you will feel comfortable learning Python as quickly or as slowly as you like. Are you ready? Let's go! Logo image courtesy of Mourizal Zativa. Available on Unsplash here: https://unsplash.com/photos/gNMVpAPe3PE
Aplicar Atividades PhET para Educação STEM
University of Colorado Boulder (via Coursera)
O projeto Simulações Interativas PhET (https://phet.colorado.edu/pt_BR), da Universidade do Colorado em Boulder, oferece simulações de ciências e matemática divertidas, gratuitas e interativas baseadas em pesquisa para uso no ensino fundamental, médio e superior. Cada simulação foi extensivamente testada e avaliada para garantir que seja adequada para fins educacionais. Além disso, todas as simulações são de código aberto e gratuitas, tanto para alunos como para professores. Neste curso, você aprenderá como planejar com eficácia uma sequência de aprendizagem usando simulações PhET para matemática e ciências e como levá-las para a sala de aula. Para concluir este curso, você deve concluir duas tarefas revisadas por pares: 1) elaborar um Guia de Ensino baseado em investigação que integre simulações PhET e 2) aplicar seu Guia em sua aula e refletir sobre os resultados com as Ferramentas de Reflexão PhET. Este curso é o quarto e último dos quatro cursos que compõem o programa de cursos integrados “Aprendizagem Ativa em STEM com Simulações Interativas PhET”. Este curso também está disponível em inglês como “Implementation of PhET Activities for STEM Education” e em espanhol como "Implementación de Actividades PhET para la Educación STEM".
Renewable Energy Technology Fundamentals
University of Colorado Boulder (via Coursera)
Renewable energy is one of the fastest growing industries on the planet, with billions of dollars invested each year to meet international energy sustainability goals. This course will provide you with a solid foundation for understanding and deploying important renewable energy technologies such as wind and solar. In addition, you will come away with a good understanding of important energy storage technologies such as pumped hydro, batteries, and hydrogen. Upon completing the course, you will be conversant with the opportunities and challenges of renewable energy technologies. You will be comfortable participating in debates and making decisions regarding these technologies. And the knowledge you gain will be foundational for further study of renewable power systems, renewable energy projects, and forecasts for the future of renewable energy. We hope you will join us on our journey! This course is the first in a four-course Coursera specialization in Renewable Energy. • Renewable Energy Technology Fundamentals • Renewable Power & Electricity Systems • Renewable Energy Projects • Renewable Energy Futures Course logo image credit: "Wind Turbine" icon courtesy of Vectors Point from the Noun Project.
The Power of Sport in American Culture
University of Colorado Boulder (via Coursera)
Have you ever wondered why sports are such a big deal in the United States? Or why American’s don’t love futbol (soccer) as much as the rest of the world? This course investigates the multi-billion dollar sports industry as a way to discern American cultural values. Themes we will explore: -- Sports media’s glorification of sport -- America’s religious-like fandom -- The "sport as war" frame and the implications -- Gender, racial, and political systems of power This course will open your eyes to the power of sport as a cultural institution. You’ll analyze the discourses of sports culture and apply critical thinking to your personal experiences with sports. Whether you're a sports fanatic or a curious learner, this course will instill a deeper understanding of American values and how they play out on the field.
Helping Your Organization Manage Risk and Crisis
University of Colorado Boulder (via Coursera)
One of the best ways to learn about how to help an organization manage a crisis is to examine where crisis situations have been successfully addressed. But there is great value in also seeing where crisis situations have not been handled well. In this course, we look at iconic cases, both well-managed and not well-managed, that point to lessons you may be able to use, especially if you are asked by a leader to assist them as they encounter a crisis. You'll also hear from experts in crisis management and crisis communication as they share with you what they have observed about these iconic cases. This course, however, offers another distinctive aspect: you'll hear about the warning signs of crises that will likely present future threats to organizations, with insights provided by an expert. As such, this course, via structured learning activities (video lectures and quizzes), will help prepare you for the near certainty that whatever organization you work for (or want to work for) will encounter a crisis.
Battery Pack Balancing and Power Estimation
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5734, part of CU Boulder’s Master of Science in Electrical Engineering degree. In this course, you will learn how to design balancing systems and to compute remaining energy and available power for a battery pack. By the end of the course, you will be able to: Evaluate different design choices for cell balancing and articulate their relative merits Design component values for a simple passive balancing circuit Use provided Octave/MATLAB simulation tools to evaluate how quickly a battery pack must be balanced Compute remaining energy and available power using a simple cell model Use provided Octave/MATLAB script to compute available power using a comprehensive equivalent-circuit cell model
International Business Context
University of Colorado Boulder (via Coursera)
This course on the Context of International Business invites you to explore the dynamic environments that have shaped— and continue to influence—global commerce. You will discover the rich history and powerful theories behind international trade, gaining a deep appreciation for business’s integral role on the world stage. As you delve into the forces of globalization, you will see firsthand how today’s interconnected world presents both challenges and remarkable opportunities. You will develop insights into the complex political, economic, and ethical landscapes that international businesses must navigate. By understanding current trade agreements and the crucial regulations that govern international commerce, you will be better equipped to thrive in an ever-evolving global marketplace. With this knowledge, you will be prepared not just to participate, but to lead confidently in the international arena—turning challenges into achievements and transforming aspiration into real-world success. The course is ideal for anyone interested in international business, including professionals in corporations, government agencies, NGOs, as well as students and individuals aiming for global careers. It also appeals to those interested in geopolitics, given the central role international trade plays in global affairs. With minimal prerequisites—mainly an interest in geopolitics, economics, or business—the course welcomes participants of varying backgrounds and includes refresher material to support learners as needed.
Fandom, Community, and Identity in Popular Music
University of Colorado Boulder (via Coursera)
In "Fandom, Community, and Identity in Popular Music," you will explore the intersections of fandom and popular culture using pop music as a framework. You will apply your skills of self-reflection and close reading/analysis to a few case studies of pop musicians and the ways in which their art inhabits and evolves in pop culture spaces. You will learn about what it means to be a music fan, and therefore to be a fan in general. Along the way, you’ll have the chance to express your creativity as a fan by making something to contribute back into your fandom. This project will ask you to apply your self-reflection and close reading frameworks, and will ground your studies of fandom and pop culture in your lived experience (both physical and virtual). Course-Level Learning Outcomes Define and describe the dynamics of popular music and its relationship with fandom, popular culture, and digital media Apply critical self-reflection and close reading frameworks through analytical writing and creative expression Engage with pop culture and fandom communities by leveraging online platforms to make connections and synthesize learning Reflect on your personal relationship to popular music, popular art, and how popular culture intersects with memory and nostalgia Course 2 Skills: Analysis Evaluation Critical Thinking Communication Creativity Close Reading
Leadership in the Water Sector
University of Colorado Boulder (via Coursera)
The One Water initiative combines water resources, wastewater, drinking water, and reuse, into one functional management model. This course, Leadership in the Water Sector, equips water professionals with the leadership skills needed to navigate today’s complex technical, organizational, and human challenges. Through proven leadership frameworks, emotional intelligence, and personality-based communication strategies, you’ll develop the self-awareness and interpersonal skills required to lead with integrity, resilience, and effectiveness. Designed and developed by successful senior water leaders and professional lecturers, this course emphasizes practical, values-driven leadership knowledge tailored to the unique demands of the water sector, helping you build trust, manage diverse teams, and lead confidently in high-stakes professional environments. By the end of this course, you will bridge your own leadership gaps at any level, no matter the extent of your management experience. Whether you are an operator, superintendent, or manager, this course will strengthen your foundational leadership practices to succeed in the water sector.
Security & Ethical Hacking: Attacking Unix and Windows
University of Colorado Boulder (via Coursera)
This course explores the science and art of offensive security techniques used in penetration testing of networks and systems. Areas of focus include post-exploitation and exploitation of Unix (esp. Linux) machines/servers, and Windows OS. A basic review of relevant x86 Assembly language constructs will be given. Students will utilize scripting and low-level programming and other technical means to execute a variety of attacks in adversarial recon, lateral movement, privilege escalation, and authentication bypass on Unix systems, as well as active exploitation of remote memory corruption attacks on multiple OS. An introduction to general computer memory is given, along with other topics in operating systems, as needed. An understanding of C/C++ compiled program languages, code debugging, python programming, and basic computer architecture is required. Experience with Assembly Language programming (Intel) and UNIX command-line (scripting) is preferred. The course is geared towards students in Computer Science, Computer Engineering, and similar domains – but those with sufficient hours of experience in the topics mentioned will be able to follow the material. This course can be taken for academic credit as part of CU Boulder’s Masters of Science in Computer Science (MS-CS) degrees offered on the Coursera platform. This fully accredited graduate degree offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
The Harder Side of Science Communication
University of Colorado Boulder (via Coursera)
In this course, you will explore how to develop and implement evidence-based methods for science communication. We’ll discuss major theories of human learning, cognitive phenomena like bias and motivated reasoning that can undermine even the best activities, and the science behind why mis/disinformation spreads so quickly. We’ll end with motivational interviewing and a discussion of how to use learning engineering to design educational activities.
Building and Pitching Marketing Campaigns in Tech Industries
University of Colorado Boulder (via Coursera)
Once we have a great strategy , much preparation remains to garner resources, plan the launch and then execute. Some industries, mostly high-end B2B, still demand the support and attention that only a human salesforce can provide. Public relations and sponsorships remain viable, traditional communication strategies. Pricing, forecasting and ROI analysis lay the foundation for profitability and the entry ticket to being taken seriously by equity investors. We take-up how to pitch those executives and VCs. Once operations are rolling, distribution, supply chains and ongoing data analytics provide the opportunity to iterate and increase performance. The means of generating that NEXT great idea are taken-up with innovation & product design, both supported by a (hopefully) strong brand and logo. Lastly we look at what truly polished companies aspire to: Customer focus and loyalty that create the ultimate prize of long-term competitive advantage. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
The Circular Economy
University of Colorado Boulder (via Coursera)
The Circular Economy is the first course in the Transformative Leadership in the Circular Economy specialization. This course provides a comprehensive introduction to the principles, applications, and measurement of the circular economy as a pathway to sustainable business practices. In this course you will explore how circular strategies differ from traditional linear models and examine real-world innovations in product design, material recovery, and closed-loop systems across industries. Through case studies, expert insights, and interactive content, the course investigates circular business models, industry-specific applications, and the economic, environmental, and social benefits of circularity. You will also engage with the challenges and barriers to implementation and evaluate key performance indicators and digital tools that support circular transitions. This course gives you the knowledge and tools to drive sustainable change and apply circular economy principles to your organization or beyond. This course was developed in collaboration with Siemens Digital Industries Software and is part of the "Design for the Circular Economy" collection. Learners who complete and pass the course can receive an industry-recognized digital badge. The “Design for the Circular Economy” microcredential and graduate certificate are developed around the educational goals of providing technical, business, and leadership knowledge and skills that inspire the transformation towards a more circular economy. This includes gaining technical knowledge to apply circular economy principles in product design, minimizing waste and maximizing impact; developing business acumen to implement innovative circular economic models that prioritize sustainability and resilience; and acquiring leadership strategies to communicate effectively and inspire change within an organization. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Man...
Advanced Business Analytics Capstone
University of Colorado Boulder (via Coursera)
The analytics process is a collection of interrelated activities that lead to better decisions and to a higher business performance. The capstone of this specialization is designed with the goal of allowing you to experience this process. The capstone project will take you from data to analysis and models, and ultimately to presentation of insights. In this capstone project, you will analyze the data on financial loans to help with the investment decisions of an investment company. You will go through all typical steps of a data analytics project, including data understanding and cleanup, data analysis, and presentation of analytical results. For the first week, the goal is to understand the data and prepare the data for analysis. As we discussed in this specialization, data preprocessing and cleanup is often the first step in data analytics projects. Needless to say, this step is crucial for the success of this project. In the second week, you will perform some predictive analytics tasks, including classifying loans and predicting losses from defaulted loans. You will try a variety of tools and techniques this week, as the predictive accuracy of different tools can vary quite a bit. It is rarely the case that the default model produced by ASP is the best model possible. Therefore, it is important for you to tune the different models in order to improve the performance. Beginning in the third week, we turn our attention to prescriptive analytics, where you will provide some concrete suggestions on how to allocate investment funds using analytics tools, including clustering and simulation based optimization. You will see that allocating funds wisely is crucial for the financial return of the investment portfolio. In the last week, you are expected to present your analytics results to your clients. Since you will obtain many results in your project, it is important for you to judiciously choose what to include in your presentation. You are also expected to f...
Agile Project Management
University of Colorado Boulder (via Coursera)
The goal of this third course in the Project Management Specialization examines the philosophy and process of managing projects using Agile project management. Students in this course will learn the Agile philosophy and process including the Scrum framework, sprints, and user stories. Upon completion of this course, you will be able to distinguish between predictive and agile project management methodologies and understand the benefits of delivering value early in an engineering project. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder. Logo image courtesy of Alex Lion, available on Unsplash at https://unsplash.com/photos/qOvxHjOrx4k
Interpersonal, Developmental, and Evolutionary Perspectives of the Mind
University of Colorado Boulder (via Coursera)
In this course, we will explore how individual problem solving, judgment, and decision making can be influenced by interpersonal and developmental factors.
A Theoretical Origin of Ethics in Business and Tech Industry
University of Colorado Boulder (via Coursera)
This course focuses on the theoretical origins of ethics. There are many possible paths, but it seems that ethics found its origins in the early days after the emergence of Homo Sapiens. The discussion here recognizes that many believe in Creation and many believe in Evolution. For the purposes of this study, the evolutionary path is assumed and the course develops from there. Included in the discussion are summaries from various sources about the time of emergence of Homo Sapiens, the slow development of group dynamics, the establishment of what we now call human nature, and a brief discussion of where we, as a culture, are going – at least from an ethical perspective. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
Current Issues in Ethics and AI
University of Colorado Boulder (via Coursera)
Artificial intelligence, particularly with the introduction of generative AI, is fundamentally impacting a huge spectrum of human experience. This ranges from the vast majority of jobs and professions to education, healthcare, media and entertainment, and much more. These rapid advances have been accompanied by a huge array of fundamental and greatly impactful ethical challenges, including bias and inaccuracy in AI systems, where AI systems should and shouldn’t replace humans, and potential benefits and harms from various types of autonomous systems, and existential issues including the future of human work and the possibility of AI systems whose intelligence exceeds that of humans. This course provides students with a broad exposure to the ethical issues arising from AI, along with the experience and ethical tools to analyze them. It is intended to help students recognize and deal with these issues in their professional careers and their lives. It is based on a combination of current media articles and recent research papers, and is designed so that it can be kept current by refreshing the references it is based on. This course can be taken for academic credit as part of CU Boulder’s Masters of Science in Computer Science (MS-CS) and the Master of Science in Artificial Intelligence (MS-AI) degrees offered on the Coursera platform. This fully accredited graduate degree offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder MS in Artificial Intelligence: https://www.coursera.org/degrees/ms-artificial-intelligence-boulder
Theory of Angular Momentum
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5611, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course introduces the quantum mechanical concept of angular momentum operator and its relationship with rotation operator. It then presents the angular momentum operators, their eigenvalues and eigenfunctions. Finally, it covers the theory of angular momentum addition. At the end of this course learners will be able to: 1. describe and analyze angular momentum states using quantum mechanically defined angular momentum operators, 2. solve angular momentum eigenvalue equations and 3. add angular momenta quantum mechanically.
Attitude Control with Momentum Exchange Devices
University of Colorado Boulder (via Coursera)
This course is part 1 of the specialization Advanced Spacecraft Dynamics and Control. It is a direct continuation of the Coursera specialization Spacecraft Dynamics and Control. This first course focuses on nonlinear attitude feedback control using a range of angular momentum devices. The course provides a comprehensive review of prerequisite material. Next it develops equations of motion of a spacecraft with momentum exchange devices such as reaction wheels (RWs), control momentum gyroscopes (CMGs) and variable speed control moment gyroscopes (VSCMGs). The course discusses developing a complex spacecraft simulation with a number VSCMGs and how to approach debugging such complex software. The use of the work/energy theorem is discussed to assist with debugging the simulation by validating angular momentum, energy, changes in momentum and mechanical power. Further, the use of null motion is explored to reconfigure the attitude control devices to avoid singularities and gimbal lock. The redundancy is exploited to seek control solutions that avoid classical CMG singularities. The material covered is taking from the book "Analytical Mechanics of Space Systems" available at https://arc.aiaa.org/doi/book/10.2514/4.105210.
Introduction to PhET Simulations for STEM Education
University of Colorado Boulder (via Coursera)
PhET Interactive Simulations ( https://phet.colorado.edu/ ), a project of the University of Colorado Boulder, provides fun, free, interactive, research-based science and mathematics simulations for use across, primary, secondary, and higher education levels. We extensively test and evaluate each simulation to ensure educational effectiveness. All simulations are open source and free to all students and teachers. In this course, you will learn how to access and share PhET simulations with your students, and explore the features that make PhET sims a powerful tool for science and mathematics teachers. You will also learn about how to ensure equity in your teaching through the use of active learning. This course is the first one of the specialization “Active Learning in STEM with PhET Interactive Simulations”, which includes 4 courses in total. To finish this course, you need to complete one assignment with Peer Review: 1) Selecting PhET simulations. This course is also available in Spanish as “Introducción a las Simulaciones PhET para la Educación STEM” and in Portuguese as "Introdução às Simulações PhET para Educação STEM".
Quantum Mechanics
University of Colorado Boulder (via Coursera)
Course 2 of Statistical Thermodynamics presents an introduction to quantum mechanics at a level appropriate for those with mechanical or aerospace engineering backgrounds. Using a postulatory approach that describes the steps to follow, the Schrodinger wave equation is derived and simple solutions obtained that illustrate atomic and molecular structural behavior. More realistic behavior is also explored along with modern quantum chemistry numerical solution methods for solving the wave equation.
Modern Sound Editing
University of Colorado Boulder (via Coursera)
Explore the sound that comes from the narrative world of film. Understand what film pioneers did to use images for sound in the silent era. Learn how the advent of sound technology transformed filmmaking and how some directors found innovative ways to use sound to bridge scenes, smooth out cuts and make the editing seamless and cohesive. Understand the difference between diegetic and non-diegetic sound, and subjective sound. Explore different types of sound cuts like the J and L cuts used widely in narrative film, news and documentaries, and especially in dialogue exchanges. Gain insights into the sound innovations by directors like Orson Wells, Alfred Hitchcock, John Ford and Robert Altman, and documentary filmmaker Ken Burns. Understand the use of music and sound effects, how to edit them, and when to use them. Engage in exercises where you can apply different types of sound transitions, and demonstrate your newfound knowledge through quizzes. All you need is basic editing software and some basic skills to use it. Presented by CU Boulder Journalism Instructor Paul Daugherty and CU Boulder College of Media, Communication and Information Media Technology Manager Emilie Johnson, Modern Sound Editing will take you on an exploration of the sound techniques that will help you keep your viewers immersed in your video creation.
Resilience & Leadership: Concepts, Definitions, & Frameworks
University of Colorado Boulder (via Coursera)
Resilience & Leadership: Concepts, Definitions, & Frameworks is the first course in the specialization ‘Resilience Engineering and Leadership in Crisis’. The course introduces the common terms, definitions, and concepts that characterize resilient systems. Frameworks for resilience engineering and leadership in crisis are applied to complex systems and the built environment. Learners will explore a holistic approach to critical infrastructure resilience and apply a hazard and threat assessment protocol to a project scenario. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
Spacecraft Dynamics Capstone: Mars Mission
University of Colorado Boulder (via Coursera)
The goal of this capstone spacecraft dynamics project is to employ the skills developed in the rigid body Kinematics, Kinetics and Control courses. An exciting two-spacecraft mission to Mars is considered where a primary mother craft is in communication with a daughter vehicle in another orbit. The challenges include determining the kinematics of the orbit frame and several desired reference frames, numerically simulating the attitude dynamics of the spacecraft in orbit, and implementing a feedback control that then drives different spacecraft body frames to a range of mission modes including sun pointing for power generation, nadir pointing for science gathering, mother spacecraft pointing for communication and data transfer. Finally, an integrated mission simulation is developed that implements these attitude modes and explores the resulting autonomous closed-loop performance. Tasks 1 and 2 use three-dimensional kinematics to create the mission related orbit simulation and the associated orbit frames. The introductory step ensures the satellite is undergoing the correct motion, and that the orbit frame orientation relative to the planet is being properly evaluated. Tasks 3 through 5 create the required attitude reference frame for the three attitude pointing modes called sun-pointing, nadir-pointing and GMO-pointing. The reference attitude frame is a critical component to ensure the feedback control drives the satellite to the desired orientation. The control employed remains the same for all three pointing modes, but the performance is different because different attitude reference frames are employed. Tasks 6 through 7 create simulation routines to first evaluate the attitude tracking error between a body-fixed frame and a particular reference frame of the current attitude mode. Next the inertial attitude dynamics is evaluated through a numerical simulation to be able to numerically analyze the control performance. Tasks 8-11 simulate the closed-lo...
Introduction to Modeling for Formal Verification
University of Colorado Boulder (via Coursera)
This course introduces the basic concepts of functional verification and model checking, highlighting their importance in modern system designs. It explains different modeling formalisms for representing the behavior of hardware and software, which are either suitable for automated analysis or can represent data-dependent controls that are common in computing system designs. Additionally, it describes system compositions with respect to different communication models. This course can also be taken for academic credit as ECEA , part of CU Boulder’s Master of Science in Electrical Engineering.
Solar Power Sensors
University of Colorado Boulder (via Coursera)
Solar Power Sensors starts with a discussion on how solar panels generate electrical energy. It then moves to the electronic components: silicon solar cells, perovskite cells, photovoltaic manufacturing methods and the power generation components: sun trackers, solar inverters, solar battery storage. We reference sensors used to monitor electronics and power generation components, as well as sensors that that are essential for maximizing solar panel efficiency. Solar Sensors can also be taken for academic credit as ECEA 5351, part of CU Boulder’s Master of Science in Electrical Engineering.
Approximation Algorithms and Linear Programming
University of Colorado Boulder (via Coursera)
This course continues our data structures and algorithms specialization by focussing on the use of linear and integer programming formulations for solving algorithmic problems that seek optimal solutions to problems arising from domains such as resource allocation, scheduling, task assignment, and variants of the traveling salesperson problem. Next, we will study algorithms for NP-hard problems whose solutions are guaranteed to be within some approximation factor of the best possible solutions. Such algorithms are often quite efficient and provide useful bounds on the optimal solutions. The learning will be supported by instructor provided notes, readings from textbooks and assignments. Assignments will include conceptual multiple-choice questions as well as problem solving assignments that will involve programming and testing algorithms. This course can be taken for academic credit as part of CU Boulder’s Masters of Science in Computer Science (MS-CS) degrees offered on the Coursera platform. This fully accredited graduate degree offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
Old Norse Mythology in the Sources
University of Colorado Boulder (via Coursera)
This course is an introduction to the religion of the Vikings as it is recorded in Old Norse and Scandinavian literature from the medieval period. You will learn about the different written sources and what they can teach us about pre-Christian religion in northern Europe in the Viking Age. The course surveys the primary collection of Old Norse poetry about the pre-Christian Scandinavian gods, the Poetic Edda. We will also work with the main collections of stories about the Old Norse gods in prose: Snorri Sturluson's Edda and Saxo's History of the Danes.
Excel/VBA for Creative Problem Solving, Part 2
University of Colorado Boulder (via Coursera)
"Excel/VBA for Creative Problem Solving, Part 2" builds off of knowledge and skills obtained in "Excel/VBA for Creative Problem Solving, Part 1" and is aimed at learners who are seeking to augment, expand, optimize, and increase the efficiency of their Excel spreadsheet skills by tapping into the powerful programming, automation, and customization capabilities available with Visual Basic for Applications (VBA). In Part 2 of the course, learners will: 1) learn how to work with arrays and import/export arrays from/to Excel using VBA code; 2) learn how to work with text strings and write data to .txt files and import information from .txt files; 3) automate the import, modification, and consolidation of information from multiple worksheets into a central worksheet as well as the import of information from multiple workbooks to a central workbook; and 4) gain experience with creating professional user forms to interface with the user, perform advanced calculations, and manipulate data on the spreadsheet. Learners who have a foundational understanding of VBA code and programming structures can jump right into Part 2 of the course without taking Part 1 and use the screencasts in Part 1 as reference. Each module will introduce foundational and broad problems inspired by situations that you might encounter in the real world. To pass each module, you'll need to pass a mastery quiz and complete a problem solving assignment. This course is unique in that the weekly assignments are completed in-application (i.e., on your own computer in Excel), providing you with valuable hands-on training.
Anti-Racism I
University of Colorado Boulder (via Coursera)
Anti-Racism I is an introduction to the topic of race and racism in the United States. The primary audience for this course is anyone who is interested in learning about race/racism in the US who has never taken a course in critical race or ethnic studies or affiliated fields (indeed, who may not know what the fields of critical race studies or ethnic studies are), who has never read a book about race/racism, or attended any race equity or diversity trainings on the topic of race/racism. In this course you will learn how to: Use and comprehend contemporary intersectional terminology through a provided glossary Critically discuss “whiteness” Recognize the concept of White privilege that all White people have whether they want that privilege or not and to differentiate between White supremacy as a systemic concept vs. White supremacists (who are professional racists like the KKK). Distinguish between being not racist and being anti-racist Define systemic and institutional racism Accept the unequal history of race and racism in the United States that has created racial hierarchies that has disenfranchised Black Americans Share with others the true foundations of United States’s histories beginning with the acknowledgement of settler colonialism and the rewards that White people have received due to White supremacy and Black oppression. Talk about race and racism Explain why phrases like “All Lives Matter” and “Blue Lives Matter” are racist Recognize that anyone can be anti-racist--it only takes the dedication and decision to be anti-racist, to educate yourself about the history of racism in the US and then to talk in an anti-racist way and to act as an anti-racist Course logo image credit: Liam Edwards, 06/04/2021. Available on Unsplash at https://unsplash.com/photos/x15GAQNepcQ
Deep Learning for Computer Vision
University of Colorado Boulder (via Coursera)
Unlock the power of deep learning to transform visual data into actionable insights. This hands-on course guides you through the foundational and advanced techniques that drive modern computer vision applications—from image classification to generative modeling. You'll begin with the building blocks of deep learning - understanding how multilayer perceptrons (MLPs) work, and exploring normalization techniques that stabilize and accelerate training. You'll then dive into unsupervised learning with autoencoders and discover the magic behind Generative Adversarial Networks (GANs) that can create realistic images from noise. After, you'll master the architecture that revolutionized computer vision by learning how CNNs extract spatial hierarchies and patterns from images for tasks like object detection and recognition. Finally, you'll explore cutting-edge architectures. ResNet introduces residual learning for deeper networks, while U-Net powers precise image segmentation in medical imaging and beyond. Whether you're a data scientist, engineer, or AI enthusiast, this course equips you with the skills to build and deploy deep learning models for real-world vision tasks. With practical examples and guided learning, you'll gain both theoretical understanding and hands-on experience. This course can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
Battery State-of-Charge (SOC) Estimation
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5732, part of CU Boulder’s Master of Science in Electrical Engineering degree. In this course, you will learn how to implement different state-of-charge estimation methods and to evaluate their relative merits. By the end of the course, you will be able to: Implement simple voltage-based and current-based state-of-charge estimators and understand their limitations Explain the purpose of each step in the sequential-probabilistic-inference solution Execute provided Octave/MATLAB script for a linear Kalman filter and evaluate results Execute provided Octave/MATLAB script for state-of-charge estimation using an extended Kalman filter on lab-test data and evaluate results Execute provided Octave/MATLAB script for state-of-charge estimation using a sigma-point Kalman filter on lab-test data and evaluate results Implement method to detect and discard faulty voltage-sensor measurements
Teaching for Justice and Inclusivity In Challenging Times
University of Colorado Boulder (via Coursera)
As a teacher, are you wondering what you can say in class about race or racism or gender and sexuality? Are you feeling pushback in your own school or context or pressure to avoid topics that have been labeled as "divisive"? Are you curious about how to support all students in your classes and how to build trust with parents and families in more sustained and enduring ways? If so, this course is for you. This course supports teachers looking for tools to reach all students and families—– even as teachers’ and students’ rights are increasingly under threat and as topics such as identity, race, and gender have become increasingly contested in schools. This course strives to provide practical tips for teachers as well as guidance for collaboration and solidarity during these contentious times. We begin by defining concepts associated with inclusive teaching practices and culturally sustaining pedagogies.
William Shakespeare's Twelfth Night: Comedy, Conflict, and Community
University of Colorado Boulder (via Coursera)
This course introduces and explores William Shakespeare’s classic comedy, Twelfth Night. Interviews with actors who appeared in the Colorado Shakespeare Festival’s 2019 production of Twelfth Night, as well as lectures by scholars and theater professionals who work and teach at the University of Colorado Boulder, offer students insight into Shakespeare’s artistic vision and its applications. Exploring Shakespeare’s language, his characters, his humor and his world view, the lectures, interviews, and interactive learning experiences that make up this class will help students comprehend the power of Shakespearean comedy and the abiding appeal of Twelfth Night for its original audience and our contemporary moment. You'll explore the relationship between comedy and tragedy, the conflict inherent in desire, and the ways Shakespeare's words and works engaged his community, and yours. This course strives to be of interest to multiple audiences, but we think it may particularly appeal to... Shakespeare enthusiasts and the Shakespeare curious in all walks of life Actors, theater practitioners, and teachers of Shakespeare everywhere Secondary school and college students interested in expanding their studies of Shakespeare Interested readers with little or no familiarity with Shakespeare
Diseño de Actividades con PhET para la Educación STEM
University of Colorado Boulder (via Coursera)
PhET Interactive Simulations (https://phet.colorado.edu/es), un proyecto de la Universidad de Colorado Boulder, ofrece simulaciones científicas y matemáticas divertidas, gratuitas, interactivas y basadas en la investigación para su uso en la educación primaria, secundaria y superior. Probamos y evaluamos exhaustivamente cada simulación para garantizar la eficacia educativa. Todas las simulaciones son de código abierto y gratuitas para todos los estudiantes y profesores. En este curso, revisaremos estrategias sobre cómo utilizar PhET para crear actividades de aprendizaje activo basadas en simulaciones para clases de matemáticas o ciencias, incluyendo hojas de actividades que los estudiantes pueden utilizar mientras trabajan de manera independiente o en equipo, teniendo acceso directo a las simulaciones en sus propios dispositivos. Para completar este curso, debes realizar dos tareas con Revisión entre Pares: 1) Evaluar y mejorar una Hoja de Actividad de la base de datos de PhET y 2) Crear tu propia Hoja de Actividad para ciencias o matemáticas que integre simulaciones de PhET. Este curso es el tercer curso de un total de cuatro cursos que integran la especialización “Aprendizaje activo en STEM con Simulaciones Interactivas de PhET”. Este curso también está disponible en inglés como “Activity Design with PhET Simulations for STEM Education” y en portugués como "Desenho de Atividades com PhET para Educação STEM".
The Big Stuff: Evolution and Ecology
University of Colorado Boulder (via Coursera)
In this course, we will explore how evolution works to generate new species, the wide variety of life on earth. We will also touch on the importance of biodiversity for the overall health of our planet, and for our well being as humans. Then we will discuss ecology and the interconnectedness of life and touch on one big ecological issue in today’s society, conservation.
Engineering Foundation for Building Energy Systems
University of Colorado Boulder (via Coursera)
Building energy systems have a profound impact on the human condition, providing a comfortable, healthy, and productive indoor environment for daily life, while being responsible for significant energy, environmental, and economic costs. Buildings must meet increasingly complex objectives to achieve greater electrification and decarbonization and respond to societal needs for affordable housing and changes in the use of commercial buildings. To design effective solutions and analyze their performance, both engineers and architects need to stand on a solid foundation of engineering fundamentals, which this course intends to impart. After reviewing the motivation, history, and trends in building energy system design, you will learn psychrometric applications and analysis, the climate factors that affect building system design, the application of heat transfer to building heat gains and losses, and the calculation of heating and cooling loads that drive the engineering design of building energy systems, covered in subsequent courses.
Effective Communication Capstone Project
University of Colorado Boulder (via Coursera)
In the Effective Communication Capstone learners apply the lessons of Business Writing, Graphic Design, and Successful Presentation to create a portfolio of work that represents their mastery of writing, design, and speaking and that expresses their personal brand. The portfolio includes three individual elements—a written memo, a slide deck, and a presentation—integrated around a single topic. We provide the elements for a basic capstone, but we also invite our learners to create their own project if they so choose. This self-designed "Challenge Capstone" allows learners to engage meaningfully in their world by choosing a project relevant to their current job or by volunteering to write, design, and speak for a social organization of their choice. By successfully undertaking the Capstone, learners will accomplish three main goals: 1. They will hone their writing, design, and speaking skills and build a portfolio for a job search and/or professional application; 2. They will shape these skills into a unique brand identity; and, if they choose, 3. They will undertake a transformative effect in the world around them. Ultimately, the importance of Capstone portfolio is greater than the sum of its individual parts. Its true goal lies in each student’s personal transformation and expression of their best selves. We invite you to unleash your skills and we can't wait to see the results! This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the ...
Getting There and Going Beyond
University of Colorado Boulder (via Coursera)
Welcome to Course 2 - Getting There and Going Beyond. If you are here, you have successfully completed Course 1 (Our Place in the Cosmos) and are ready for more. There is so much more to learn in Course 2 with 40 learning objectives spread out over 5 weeks and 12 lessons. We will cover all the ways we explore space and near space from planes to rockets to satellites and humans. Week 1 - We will hit the trail with two lessons on Aeronautics. "Why is a aeronautics in a course about space?" you might be asking yourself. Well aeronautics is used in many aspects of space exploration. It is also how we first started our exploration by getting off the ground. Part 1 connects us with Dr. Brian Argrow, who provides the context and background of aeronautics. Part 2 brings Dr. Gijs de Boer's perspective on the applications and connections with aeronautics and remote sensing. Week 2 - This week will have three lessons that build upon last week's discussion on aeronautics. In Near Space, Dr. Tom Woods and I will explore the science that can be conducted in the Earth's atmosphere at the fringes of space. Mr. Dave Murrow and I will discuss Launch Vehicles and how everything we do in space is dependent on getting through near space and into space on a rocket. And finally, we will discover Orbits with Dr. Steve Nerem. Everything in the cosmos is in motion and that motion can be described by orbits. Getting to space is one thing. Getting around the solar system and beyond is all about orbits. Week 3 - Spacecraft and satellites. So much of what we know about the cosmos was discovered by one of these two vehicles. While they may seem complicated, much of what goes into designing, building, testing, and flying a spacecraft is understandable by everyone. Spacecraft Systems is broken up into three parts. Part 1, we will discuss, the mission design process and systems engineering approach with three guests. David Ferguson, JB Young, and Dr. Nick Bradley. Part 2 will focus on the po...
Clase Entera con PhET para la Educación STEM
University of Colorado Boulder (via Coursera)
PhET Interactive Simulations (https://phet.colorado.edu/es), un proyecto de la Universidad de Colorado Boulder, ofrece simulaciones científicas y matemáticas divertidas, gratuitas, interactivas y basadas en la investigación para su uso en la educación primaria, secundaria y superior. Probamos y evaluamos exhaustivamente cada simulación para garantizar la eficacia educativa. Todas las simulaciones son de código abierto y gratuitas para todos los estudiantes y profesores. En este curso, aprenderás estrategias sobre cómo utilizar PhET en situaciones donde estás presentando una simulación frente a la clase entera mediante un proyector, pizarra interactiva o al compartir tu pantalla en clases en línea. Este curso es el segundo de la especialización “Aprendizaje activo en STEM con Simulaciones Interactivas de PhET”, que incluye 4 cursos en total. Para completar este curso, necesitas realizar dos de las tres posibles tareas con Revisión entre Compañeros: 1) Indagación con la Clase Entera, 2) Clases Demostrativas interactivas, 3) Preguntas Conceptuales. Este curso también está disponible en inglés como "Whole Class with PhET for STEM Education" y en portugués como "A Turma Toda com Simulações PhET para Educação STEM".
Sentido Numérico para la Educación Primaria con PhET
University of Colorado Boulder (via Coursera)
PhET Interactive Simulations (https://phet.colorado.edu/es), un proyecto de la Universidad de Colorado en Boulder, ofrece simulaciones para ciencias y matemáticas divertidas, gratuitas, interactivas y basadas en investigaciones para su uso en los niveles de educación primaria, secundaria y superior. Probamos y evaluamos exhaustivamente cada simulación para garantizar su eficacia educativa. Todas las simulaciones son de código abierto y gratuitas para todos los estudiantes y maestros. En este curso, (a) adquirirás estrategias de enseñanza y facilitación sobre cómo usar simulaciones PhET en un aula de 2° grado, (b) explorarás cómo las simulaciones PhET pueden ayudar a los estudiantes multilingües y (c) participarás en lecciones que respalden el aprendizaje de los estudiantes sobre el conteo, el sentido numérico y el valor posicional. Para finalizar este curso deberás completar una tarea con revisión entre pares: completar una guía para maestros de matemáticas de educación inicial (usando una plantilla) para planificar una clase sobre aritmética usando al menos una de las cuatro simulaciones PhET presentadas en este curso.
Excel/VBA for Creative Problem Solving, Part 3 (Projects)
University of Colorado Boulder (via Coursera)
In this course, learners will complete several VBA projects. It is highly recommended that learners first take "Excel/VBA for Creative Problem Solving, Part 1" and "Excel/VBA for Creative Problem Solving, Part 2". This course builds off of skills learned in those two courses. This is a project-based course. Therefore, the projects are quite open-ended and there are multiple ways to solve the problems. Through the use of Peer Review, other learners will grade learners' projects based on a grading rubric.
Suffering and the Human Condition
University of Colorado Boulder (via Coursera)
Suffering is an inevitable yet poorly understood feature of human existence. This course examines how societies respond to the puzzling reality of human anguish. Among the questions it addresses are the following: What is suffering? Which types of human affliction are unique to the modern world? Have the meaning and portrayal of suffering changed over time? Do digital media sensitize or desensitize us to the anguish of distant others? In addition to introducing students to academic literature and debates on these topics, Suffering and the Human Condition will give them the opportunity to learn a method for studying human affliction that identifies the actors that perpetuate it.
Defining, Describing, and Visualizing Data
University of Colorado Boulder (via Coursera)
As leaders in your chosen field, you need to not only know how to ask the right questions but also answer them using data-based methods. Through this class, you will be able to get to the bottom of what you really want to know, describe the associated data related to that question, and visualize the information from that data to understand and explain the results. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
Managing the New Product Development Process
University of Colorado Boulder (via Coursera)
This course covers the product development process in detail. With the opportunity defined, learners begin with ideation techniques such as Design Thinking to create new product concepts. Learners define the tools to create product specifications that meet customer requirements, then conceptualize different ways of meeting those requirements. Learners conclude by exploring prototyping and the techniques used to down-select to a concept that is then carried through launch. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
Predicting Extreme Climate Behavior with Machine Learning
University of Colorado Boulder (via Coursera)
Throughout Predicting Extreme Climate Behavior with Machine Learning, you'll explore both theoretical concepts and practical applications or machine learning and data analysis. You'll begin by analyzing unsupervised learning algorithms, mastering techniques like clustering and dimensionality reduction, and applying them to real-world climate datasets. You'll also explore supervised learning, gaining hands-on experience with algorithms such as Logistic Regression, Decision Trees, and Neural Networks. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. The degree offers targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder
Leading Oneself with Purpose and Meaning
University of Colorado Boulder (via Coursera)
Before we can lead others well, we must first learn to lead ourselves well. Knowing your why is an important part of this journey. In this course, you will identify your core purpose and recognize meaning in your life, explore the power of spirituality and embracing our mortality, create a lasting impact by serving a greater good, describe your character and practice personal excellence. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
FPGA Softcore Processors and IP Acquisition
University of Colorado Boulder (via Coursera)
This course will introduce you to all aspects of development of Soft Processors and Intellectual Property (IP) in FPGA design. You will learn the extent of Soft Processor types and capabilities, how to make your own Soft Processor in and FPGA, including how to design the hardware and the software for a Soft Processor. You will learn how to add IP blocks and custom instructions to your Soft Processor. After the Soft Processor is made, you learn how to verify the design using simulation and an internal logic analyzer. Once complete you will know how to create and use Soft Processors and IP, a very useful skill. This course consists of 4 modules, approximately 1 per week for 4 weeks. Each module will include an hour or two of video lectures, reading assignments, discussion prompts, and an end of module assessment. This course includes specific hardware and software requirements. Please review the FAQ below for complete details.
Security & Ethical Hacking: Attacking Web and AI Systems
University of Colorado Boulder (via Coursera)
In this course you will learn how the security of web-based software, including deployed AI agents, can be compromised. Real-world attacks we study are conducted against a variety of web technologies and frameworks. In addition, we will introduce the topic of Adversarial Machine Learning (exploiting algorithms and learning techniques) in the Artificial Intelligence domain, including Language Models. We will review and study modern, cutting-edge research in this area. Course assessments are through quizzes, hands-on exercises and an exam. This course can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
First Order Optical System Design
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5600, part of CU Boulder’s Master of Science in Electrical Engineering degree. Optical instruments are how we see the world, from corrective eyewear to medical endoscopes to cell phone cameras to orbiting telescopes. When you finish this course, you will be able to design, to first order, such optical systems with simple mathematical and graphical techniques. This first order design will allow you to develop the foundation needed to begin all optical design as well as the intuition needed to quickly address the feasibility of complicated designs during brainstorming meetings. You will learn how to enter these designs into an industry-standard design tool, OpticStudio by Zemax, to analyze and improve performance with powerful automatic optimization methods.
Modern Regression Analysis in R
University of Colorado Boulder (via Coursera)
This course will provide a set of foundational statistical modeling tools for data science. In particular, students will be introduced to methods, theory, and applications of linear statistical models, covering the topics of parameter estimation, residual diagnostics, goodness of fit, and various strategies for variable selection and model comparison. Attention will also be given to the misuse of statistical models and ethical implications of such misuse. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder. Logo adapted from photo by Vincent Ledvina on Unsplash
Renewable Energy Futures
University of Colorado Boulder (via Coursera)
Renewable energy's future is bright, yet uncertain. Will it continue to grow rapidly? Is current growth sufficient to achieve climate stabilization? How do related technologies, like electric vehicles and heat pumps, fit in? This course will shed light on the many confusing and at-times inconsistent claims and predictions for renewable energy. We’ll review promising new renewable technologies and approaches, such as floating platforms for wind turbines and building-integrated photovoltaics (PV), and point out key opportunities and limitations. We’ll take a close look at possible futures of enabling technologies such as electricity storage, electric vehicles and hydrogen, which can support and enhance renewables. We’ll then unravel key trends and new approaches, such as distributed energy and electrification, and explain how they affect renewable energy’s future. Renewable energy, aided by enabling technologies such as electric vehicles and storage, will eventually dominate energy systems worldwide. From this course, you’ll learn the current status and likely future paths of renewable energy. With this knowledge, you’ll be able to pinpoint the opportunities in this vibrant industry and get in front of the change. Course logo image credit: "Wind Turbine" icon courtesy of Vectors Point from the Noun Project.
Parallel Computing with MPI
University of Colorado Boulder (via Coursera)
This course is designed for scientists, engineers, students, and professionals looking to develop efficient solutions for high-performance and distributed computing systems. It focuses on parallel programming using the Message Passing Interface (MPI), a standard for scalable communication across multiple processors. Learners should have basic programming experience in C or C++ and familiarity with Linux. No prior knowledge of MPI is required. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.
Business Writing
University of Colorado Boulder (via Coursera)
Writing well is one of the most important skills you can develop to be successful in the business world. Over seventy companies and thirty thousand students--from professional writers to new employees to non-native English speakers to seasoned executives--have used the techniques in Business Writing to power their ability to communicate and launch their ideas. This course will teach you how to apply the top ten principles of good business writing to your work, how to deploy simple tools to dramatically improve your writing, and how to execute organization, structure, and revision to communicate more masterfully than ever. From the very first lesson, you'll be able to apply your new learning immediately to your work and improve your writing today. Your ideas are powerful. Learn how to deliver them with the clarity and impact they deserve. "Thank you for giving me the knowledge I need in life. [Business Writing] was helpful, life changing, and has made a huge impact in my writing." -- Message from a Business Writing student The principles you'll learn in this course enable you to become a great business writer. They also provide the foundation for moving into Graphic Design and Successful Presentation, so that you can unleash your best professional self whenever--and however--you present your ideas in the workplace. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-s...
Introduction to battery-management systems
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5730, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course will provide you with a firm foundation in lithium-ion cell terminology and function and in battery-management-system requirements as needed by the remainder of the specialization. After completing this course, you will be able to: List the major functions provided by a battery-management system and state their purpose Match battery terminology to a list of definitions Identify the major components of a lithium-ion cell and their purpose Understand how a battery-management system “measures” current, temperature, and isolation, and how it controls contactors Identify electronic components that can provide protection and specify a minimum set of protections needed Compute stored energy in a battery pack List the manufacturing steps of different types of lithium-ion cells and possible failure modes
Essential Linear Algebra for Data Science
University of Colorado Boulder (via Coursera)
Are you interested in Data Science but lack the math background for it? Has math always been a tough subject that you tend to avoid? This course will teach you the most fundamental Linear Algebra that you will need for a career in Data Science without a ton of unnecessary proofs and concepts that you may never use. Consider this an expressway to Data Science with approachable methods and friendly concepts that will guide you to truly understanding the most important ideas in Linear Algebra. This course is designed to prepare learners to successfully complete Statistical Modeling for Data Science Application, which is part of CU Boulder's Master of Science in Data Science (MS-DS) program. Logo courtesy of Dan-Cristian Pădureț on Unsplash.com
Applying Systems Engineering to the Design Process
University of Colorado Boulder (via Coursera)
In this course, you will learn what a systems engineer does. Following the conceptual foundations from The Need for Systems Engineering, you will perform requirements analysis and functional analysis on engineering programs. You will learn how to perform a trade study using a methodical, quantitative approach that is universal in application. This course also covers preparing design reviews, focusing on coordinating the inputs of multiple engineering disciplines into a cohesive description of the design approach. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
Network Analysis for Marketing Analytics
University of Colorado Boulder (via Coursera)
Network analysis is a long-standing methodology used to understand the relationships between words and actors in the broader networks in which they exist. This course covers network analysis as it pertains to marketing data, specifically text datasets and social networks. Learners walk through a conceptual overview of network analysis and dive into real-world datasets through instructor-led tutorials in Python. The course concludes with a major project. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.
BiteSize Python for Absolute Beginners: Essentials
University of Colorado Boulder (via Coursera)
Start your Python journey with this course, where you’ll gain a solid foundation in this powerful language. Learn how to work with variables and data types to store and process information, master operations to perform calculations and make comparisons, and unlock the power of strings for text manipulation. Through hands-on case studies, like creating a checkout system, splitting tips, and calculating compound interest, you’ll apply your skills to solve real-life problems. This beginner-friendly course is perfect for anyone looking to build practical coding skills and confidence in Python.
Market Research and Analysis for Tech Industries
University of Colorado Boulder (via Coursera)
Developing a revolutionary design or product or software often becomes an all-consuming pursuit in industry. Yet, many gifted engineers and technologists are eventually bewildered to discover, only too late, that their innovative product is wholly insufficient. A great design accomplishes nothing if it fails to address critical needs and the only means of aligning those is a deep understanding of the consumer or business customer. Fully 94% of executives admit that their organizations fail to truly understand the customer. They are, strategically, running full-steam in complete darkness. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
Ideal Gases
University of Colorado Boulder (via Coursera)
Course 3 of Statistical Thermodynamics, Ideal Gases, explores the behavior of systems when intermolecular forces are not important. This done by evaluating the appropriate partition functions for translational, rotational, vibrational and/or electronic motion. We start with pure ideal gases including monatomic, diatomic and polyatomic species. We then discuss both non-reacting and reacting ideal gas mixtures as both have many industrial applications. Computational methods for calculating equilibrium properties are introduced. We also discuss practical sources of ideal gas properties. Interestingly, in addition to normal low density gases, photons and electrons in metals can be described as though they are ideal gases and so we discuss them.
Foundations of Quantum Mechanics
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5610, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course covers the fundamental concepts and topics of quantum mechanics which include basic concepts, 1D potential problems, time evolution of quantum states, and essential linear algebra. It provides undergraduate level foundational knowledge and build on them more advanced topics. At the end of this course learners will be able to: 1. demonstrate full grasp of basic concepts in quantum mechanics including wave-particle duality, operators and wavefunctions, and evolution of quantum states, 2. achieve mastery of the mathematical apparatus needed for quantum mechanics and 3. attain foundational knowledge required to learn more advanced quantum mechanics and applications.
Be Your Best Creative Self
University of Colorado Boulder (via Coursera)
Welcome to Be Your Best Creative Self, the second course in the Personal Development for Professional Success Specialization. This course is for creative professionals who want to work more efficiently and at higher levels of both job satisfaction and success. As students work through this course, they will: • learn to make the creative state more reliable and productive • fine-tune their personal brand so that they present themselves positively and accurately • learn basic skills for working with others that will help to avoid traps as well as to enable success As much as anything, this is a survival-skills class designed to help creative professionals take control of their careers. The assignments and exercises are intended to build a creative community in which students gain confidence and grow together.
Universal Theories
University of Colorado Boulder (via Coursera)
This course introduces the notion of universality, whereby a large zoo of seemingly disparate systems can be described by the same theory. It introduces a powerful and widely applicable concept known as renormalization group which explains where this universality comes from. It introduces some paradigmatic frameworks underpinning condensed matter physics, including band structure and the quasiparticle concept. This course introduces two pillars of modern condensed matter physics. The first two modules introduce the renormalization group, which is the central paradigm of modern statistical physics, and has wide applicability across physics and beyond. The third and fourth modules introduce band theory, which is central to solid state physics, and uses it to explain metals and insulators.
Introduction to Crisis Management and Crisis Communication
University of Colorado Boulder (via Coursera)
Increasingly, modern societies are witnessing crises of confidence in their institutions, whether they are for-profit, non-profit, or governmental. Today, being able to identify and manage a crisis is no longer a “nice to,” it’s essential. In this course, you’ll learn about the basics of crisis management and crisis communication, and what needs to be in an effective crisis plan. You'll also see something that is rarely discussed in detail – how organizations can effectively handle the very first moments of a crisis, and where they can make poor decisions that can have damaging consequences. You'll hear from professionals who handle organizational crises so that you are better positioned to understand the dynamics of crises. As such, this course, via structured learning activities (video lectures and quizzes), will help prepare you for the near certainty that whatever organization you work for (or want to work for) will encounter a crisis.
Everyday Excel, Part 2
University of Colorado Boulder (via Coursera)
"Everyday Excel, Part 2" is a continuation of the popular "Everyday Excel, Part 1". Building on concepts learned in the first course, you will continue to expand your knowledge of applications in Excel. This course is aimed at intermediate users, but even advanced users will pick up new skills and tools in Excel. By the end of this course, you will have the skills and tools to take on the project-based "Everyday Excel, Part 3 (Projects)". This course is the second part of a three-part series and Specialization that focuses on teaching introductory through very advanced techniques and tools in Excel. In this course (Part 2), you will: 1) learn advanced data management techniques; 2) learn how to implement financial calculations in Excel; 3) use advanced tools in Excel (Data Tables, Goal Seek, and Solver) to perform and solve "what-if" analyses; 4) learn how to create mathematical predictive regression models using the Regression tool in Excel. This course is meant to be fun and thought-provoking. I hope for you to at least several times in the course say to yourself, "Wow, I hadn't thought of that before!" Given the wide range in experience and abilities of learners, the goal of the course is to appeal to a wide audience. The course is organized into 5 Weeks (modules). To pass each module, you'll need to pass a mastery quiz and complete a problem solving assignment. This course is unique in that the weekly assignments are completed in-application (i.e., on your own computer in Excel), providing you with valuable hands-on training.
Control Systems Analysis: Modeling of Dynamic Systems
University of Colorado Boulder (via Coursera)
In this course, you'll explore modeling of dynamic systems and feedback control. The course begins with an introduction of control theory and the application of Laplace transforms in solving differential equations, providing a strong foundation in linearity, time-invariance, and dynamic system modeling. The following week will delve into the laws governing the modeling of dynamic systems, with a focus on deriving differential equations from fundamental principles like Newton's laws and Kirchhoff's laws, as well as mastering the representation of systems as transfer functions in the Laplace domain. The third week delves deeper into Laplace transforms, emphasizing initial/final value theorems, block diagram manipulation, and dynamic response analysis. Moving into the fourth week, you'll learn to analyze system performance using transient step response specifications, enabling you to assess and optimize system behavior effectively. Finally, in the fifth week, you'll explore Bounded-Input Bounded-Output (BIBO) stability and Routh's stability criterion, gaining the skills to assess, analyze, and design stable systems. By the course's end, you'll be well-equipped to navigate the intricacies of control systems and dynamic modeling.
Graphic Design
University of Colorado Boulder (via Coursera)
Welcome to Graphic Design, the second course in the Effective Communications Specialization. Over 70 different companies have provided this specialization to their employees as a resource for internal professional development. Why? Because employers know that effective visual communication is the key to attracting an audience, building a relationship, and closing the sale. This practical course gives you the tools to create professional looking PowerPoints, reports, resumes, and presentations. Using a set of best practices refined through years of experience, you’ll: • make your work look fresh and inspired. • apply simple design “tricks” to begin any project with confidence and professionalism. • receive and respond to criticism and revise your project from good to great. "This course is fantastic. It teaches a great amount of starter graphic design information but it is broken down into easily understood videos and quizzes. The quality was top notch and the interaction was as good as you would get in a brick and mortar school. I did not feel like I was missing anything by taking it online." - a recent Graphic Design student All of the course assignments can be completed with basic presentation software such as Microsoft PowerPoint, Google Slides, or Apple Keynote. You’ll also have opportunities to explore and apply more sophisticated tools, such as Adobe Photoshop, Illustrator, and InDesign. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn...
Cannabis, Chronic Pain, and Related Disorders
University of Colorado Boulder (via Coursera)
This Cannabis, Chronic Pain, and Related Disorders course is designed to have you think critically about the health effects of cannabis (i.e., marijuana) in the context of chronic pain, opioid use disorder, obesity, sleep dysfunction and cancer. We'll learn about the epidemiology and etiology of these conditions, the harms/benefits of current treatments, and learn how to evaluate the literature on cannabis for these conditions. We will discuss special considerations for using cannabis for these conditions, such as dose, timing, side effects, and drug interactions. Lastly, we'll discuss how it is being used in the context of palliative care. Obtaining this knowledge will be helpful in terms of informing public policy, public health, and personal decisions regarding the use of cannabis products.
Project Management: Foundations and Initiation
University of Colorado Boulder (via Coursera)
Project Management: Foundations and Initiation provides students the foundational knowledge of how engineering projects are managed and initiated. Project managers are responsible for project scope, stakeholder management, effective communication, and team leadership. In this course, you will develop introductory skills needed to manage traditional engineering projects, along with tools needed to engage stakeholders and build diverse teams. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder. Logo image courtesy of Jehyun Sung, available on Unsplash at https://unsplash.com/photos/6U5AEmQIajg?utm_source=email&utm_medium=referral&utm_content=photos-page-share
Comic Books, Geek Culture, and the Fandom Imaginary
University of Colorado Boulder (via Coursera)
"Comic Books, Geek Culture, and the Fandom Imaginary" explores some of the conventional framings of “fandom” (from comic book obsessives to cosplayers) and the cultural histories that sustain it. It also explores the dark side of these dynamics, looking at what can happen when fandom turns toxic in pop culture spaces. You will continue to apply frameworks of self-reflection and close reading/analysis to the study of contemporary popular culture, and explore how those frameworks provide tools for understanding the self as much as our cultural surroundings. The course asks the fundamental question: how can what we love - what we read, what we watch, what we share - contribute to making the world a better place? Along the way, you’ll continue to develop your skills in honing and representing your fandom, specifically engaging in activities designed to help you find your fellow fans, help you find your people, and connect with them outside and beyond the course. Course-Level Learning Outcomes Define and describe the dynamics of geek culture (fantasy, science fiction, comic books, graphic novels), as well as its relationships to fandom, popular culture, and digital media Apply critical self-reflection and close reading frameworks through analytical writing and creative expression Engage with pop culture and fandom communities by leveraging online platforms to make connections and synthesize learning Reflect on your personal relationship to geek culture (fantasy, science fiction, comic books, graphic novels), and how popular culture intersects with memory and nostalgia Course 3 Skills: Analysis Self-Reflection Critical Thinking Communication Culture Close Reading
Advanced Capstone Spacecraft Dynamics and Control Project
University of Colorado Boulder (via Coursera)
This capstone course is the 3rd and final course of the specialization Advanced Spacecraft Dynamics and Control. It assumes you have completed the prior courses on "Attitude Control with Momentum Exchange Devices" and "Analytical Mechanics for Spacecraft Dynamics". This project course investigates the dynamics of a complex spacecraft system where there is a rigid hub onto which a hinged panel is attached. This simulates a spacecraft with a time varying geometry. First, the three-dimensional kinematics of this system are explored. Analytical relationships of the body and panel position and velocity states are derived, and the center of mass properties of this system are explored. Next, a simplified system is used to use Lagrange's equations of motion to predict the dynamical response. With these differential equations we are then able to apply attitude control torques and investigate the rotational response if the spacecraft hub has a spring-hinged panel attached. Two open-loop control torque solutions are investigated. The classical minimum time bang-bang control solution is applied first, illustrating how such a control can yield unwanted panel oscillations. Finally, a filtered version of the bang-bang control is applied to illustrated how the panel oscillations can be significantly reduced at the cost of a slightly longer nominal maneuver time. The material covered is taking from the book "Analytical Mechanics of Space Systems" available at https://arc.aiaa.org/doi/book/10.2514/4.105210.
Data Mining Project
University of Colorado Boulder (via Coursera)
Data Mining Project offers step-by-step guidance and hands-on experience of designing and implementing a real-world data mining project, including problem formulation, literature survey, proposed work, evaluation, discussion and future work. This course can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder Course logo image courtesy of Mariana Proença, available here on Unsplash: https://unsplash.com/photos/_WgnXndHmQ4
Nützliches Feedback geben (Giving Helpful Feedback)
University of Colorado Boulder (via Coursera)
Dieser Kurs vermittelt Ihnen die einfachen Prinzipien, mit denen Führungskräfte die Leistung ihrer Mitarbeiter verbessern und sie gleichzeitig motivieren. Von jetzt an müssen Sie Situationen, in denen Sie Ihren Mitarbeitern „unangenehme Nachrichten“ überbringen, nicht mehr meiden. Wir zeigen Ihnen sieben Methoden, mit deren Hilfe Ihre Mitarbeiter weder eine Abwehrhaltung einnehmen noch Angst bekommen. Als Führungskraft oder jemand, der gerne eine sein möchte, lernen Sie auch speziell, was Feedback ist und warum negatives Feedback schwerer wiegt als positives Feedback. Außerdem erfahren Sie, wie positives Feedback Eigenschaften wie Kreativität und Teamwork fördert. Feedback zu geben, ist eine Fähigkeit, die sich im Laufe der Zeit entwickelt. Wir geben Ihnen einen Prozess an die Hand, mit dem Sie Ihre Fähigkeit, Feedback zu geben, verbessern und mit Zuversicht umsetzen können. Sie werden sehen, dass es für Ihre Beobachtungen und Ihr Gespür für Feedback eine wissenschaftliche Erklärung gibt. So zum Beispiel, dass es schwierig ist, nützliches Feedback zu geben, und dass Menschen nicht gerne Feedback erhalten usw. Dies hilft Ihnen dabei zu lernen, diese Schwierigkeiten zu überwinden. Wir hoffen, dass Sie Spaß daran haben, eine bessere Führungskraft zu werden.
Kinematics: Describing the Motions of Spacecraft
University of Colorado Boulder (via Coursera)
The movement of bodies in space (like spacecraft, satellites, and space stations) must be predicted and controlled with precision in order to ensure safety and efficacy. Kinematics is a field that develops descriptions and predictions of the motion of these bodies in 3D space. This course in Kinematics covers four major topic areas: an introduction to particle kinematics, a deep dive into rigid body kinematics in two parts (starting with classic descriptions of motion using the directional cosine matrix and Euler angles, and concluding with a review of modern descriptors like quaternions and Classical and Modified Rodrigues parameters). The course ends with a look at static attitude determination, using modern algorithms to predict and execute relative orientations of bodies in space. After this course, you will be able to... Differentiate a vector as seen by another rotating frame and derive frame dependent velocity and acceleration vectors Apply the Transport Theorem to solve kinematic particle problems and translate between various sets of attitude descriptions Add and subtract relative attitude descriptions and integrate those descriptions numerically to predict orientations over time Derive the fundamental attitude coordinate properties of rigid bodies and determine attitude from a series of heading measurements The material covered is taking from the book "Analytical Mechanics of Space Systems" available at https://arc.aiaa.org/doi/book/10.2514/4.105210.
Forming, Funding, and Launching a Technology Startup Company
University of Colorado Boulder (via Coursera)
This course starts with a close look at entrepreneurial finance, revenue models, and sources of startup funding. Learners will build a revenue model, create a Financial Plan for a new startup idea, and prepare an investor presentation for raising capital. Business legal structures are reviewed and some of the key legal considerations and pitfalls for startups are examined. Intellectual Property (IP) is presented as a business strategy for creating value and building competitive advantage. The role of ethics in a startup environment is explored in the context of an entrepreneurial mindset. The value of building a learning organization is presented. Startup growth strategies for building technology companies and exit options for technology entrepreneurs are reviewed. Learners will complete a business plan for a new product or service idea. Forming, Funding, and Launching a Startup Company can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
Motors and Motor Control Circuits
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5341, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is our second course in our specialization on Embedding Sensor and Motors. To get the most out of this course, you should first take our first course entitled Sensors and Sensor Circuits. Our first course gives you a tutorial on how to use the hardware and software development kit we have chosen for the lab exercises. This second course assumes that you already know how to use the kit. After taking this course, you will be able to: ● Understand how to specify the proper AC or DC motor for a machine design. ● Integrate the motor to a machine, based on analysis of motor equations for voltage, current, torque and speed. ● Implement the motor and accompanying rotary sensor into a motor control circuit in both hardware and software. ● Add a motor and motor control circuit into a microprocessor based development kit. ● Create hardware and firmware to process motor feedback data to a microprocessor for further evaluation. This course includes specific hardware and software requirements. Please review the FAQ below for complete details.
Statistics and Data Analysis with Excel, Part 1
University of Colorado Boulder (via Coursera)
Designed for students with no prior statistics knowledge, this course will provide a foundation for further study in data science, data analytics, or machine learning. Topics include descriptive statistics, probability, and discrete and continuous probability distributions. Assignments are conducted in Microsoft Excel (Windows or Mac versions). Designed to be taken with the follow-up courses, “Statistics and Data Analysis with Excel, Part 2" and "Statistics and Data Analysis with R". All three courses make up the specialization "Statistics and Applied Data Analysis."
Discrete-Time Markov Chains and Monte Carlo Methods
University of Colorado Boulder (via Coursera)
A Markov chain can be used to model the evolution of a sequence of random events where probabilities for each depend solely on the previous event. Once a state in the sequence is observed, previous values are no longer relevant for the prediction of future values. Markov chains have many applications for modeling real-world phenomena in a myriad of disciplines including physics, biology, chemistry, queueing, and information theory. More recently, they are being recognized as important tools in the world of artificial intelligence (AI) where algorithms are designed to make intelligent decisions based on context and without human input. Markov chains can be particularly useful for natural language processing and generative AI algorithms where the respective goals are to make predictions and to create new data in the form or, for example, new text or images. In this course, we will explore examples of both. While generative AI models are generally far more complex than Markov chains, the study of the latter provides an important foundation for the former. Additionally, Markov chains provide the basis for a powerful class of so-called Markov chain Monte Carlo (MCMC) algorithms that can be used to sample values from complex probability distributions used in AI and beyond. Outside of certain AI-focused examples, this course is first and foremost a mathematical introduction to Markov chains. It is assumed that the learner has already had at least one course in basic probability. This course will include a review of conditional probability and will cover basic definitions for stochastic processes and Markov chains, classification and communication of states, absorbing states, ergodicity, stationary and limiting distributions, rates of convergence, first hitting times, periodicity, first-step analyses, mean pattern times, and decision processes. This course will also include basic stochastic simulation concepts and an introduction to MCMC algorithms including the Metropoli...
Asian American History and Identity: An Anti-Racism Toolkit
University of Colorado Boulder (via Coursera)
In this course, students will develop a greater understanding of Asian American history and identities, explore the problematic history of anti-Asian discrimination in the US, and develop skill sets that they can use to address anti-Asian hate and violence in their community. Target learners include students interested in Asian American history and Anti-Racism, but also any learner interested in creating more inclusive communities for AAPI Americans and stopping racism, hate, and violence in their community. Drawing from a diverse range of Asian American experiences, this course will utilize a variety of course-specific and open-source materials and activities that include facilitated conversations, interviews, videos, articles, podcasts, and art to guide the learner through 3 weekly modules. Week 1 focuses on the history of Asian American cultures and identities in the US. Week 2 tightens this lens to examine contextual examples of anti-Asian racism in US history and culture as well as artists, activists, and communities who have actively resisted Anti-Asian violence. Week 3 explores examples of Asian American activism and anti-racism using a humanities-centered approach and encourages learners to think about ways to deploy the skills developed throughout the course in their own communities and lives. During the course, learners will have the opportunity to complete self-guided reflections and responses to course material that will develop their knowledge of anti-racist practices and active bystander intervention. Learners who complete the course will be offered the opportunity to earn a Coursera badge/certificate and all participants will be encouraged to take the knowledge and skills gained from the course into their communities.
Leadership Style and Building a High-Performance Team
University of Colorado Boulder (via Coursera)
Leadership of complex technical organizations is being challenged by the rapid pace of technology development, innovation and the new flexible workplace where employees working from anywhere demand to be engaged, motivated and recognized. This first Leading Technical Organizations course, "Leadership Style and Building a High-Performance Team", explores your personal leadership style, how value is created, how a leader multiplies their abilities by building high performance teams, and how your executive presence is essential to be a leader of leaders. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
Pressure, Force, Motion, and Humidity Sensors
University of Colorado Boulder (via Coursera)
"Pressure, Force, Motion, and Humidity Sensors" can also be taken for academic credit as ECEA 5342, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is our third course in our specialization on Embedding Sensor and Motors. To get the most out of this course, you should first take our first course entitled Sensors and Sensor Circuits. Our first course gives you a tutorial on how to use the hardware and software development kit we have chosen for the lab exercises. This third course assumes that you already know how to use the kit. After taking this course, you will be able to: ● Understand how to specify the proper pressure, force, strain, position, motion, acceleration, occupancy, and humidity sensors for taking real-time process data. ● Implement these sensors into an embedded system in both hardware and software. ● Add the sensor and sensor interface into a microprocessor based development kit. ● Create hardware and firmware to process sensor signals and feed data to a microprocessor for further evaluation. In this course you will build the circuit from Video 7 (Lab Exercise on strain gauges), Module 2 (Force and Strain Sensors and Touch Screens), and use it to make screen shots of the timing of the switch. If you haven't already wired up the system and written all the software per the instructions of Video 7, please do so now. This course includes specific hardware and software requirements. Please review the FAQ below for complete details.
Leading Oneself with Personal Excellence
University of Colorado Boulder (via Coursera)
Before we can lead others well, we must first learn to lead ourselves well. Knowing personal excellence is the culmination of this journey. In this course, you will describe how and why to set goals and create action plans, increase your focus and reduce distraction, harness motivation and flow state for performance, build self-efficacy and agency, and redefine your relationship with stress, anxiety, fear and adversity. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.Happiness
Statistical Inference and Hypothesis Testing in Data Science Applications
University of Colorado Boulder (via Coursera)
This course will focus on theory and implementation of hypothesis testing, especially as it relates to applications in data science. Students will learn to use hypothesis tests to make informed decisions from data. Special attention will be given to the general logic of hypothesis testing, error and error rates, power, simulation, and the correct computation and interpretation of p-values. Attention will also be given to the misuse of testing concepts, especially p-values, and the ethical implications of such misuse. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.
FPGA Capstone: Building FPGA Projects
University of Colorado Boulder (via Coursera)
This course will give you hands-on FPGA design experience that uses all the concepts and skills you have developed up to now. You will need to purchase a DE10-Lite development kit. You will setup and test the MAX10 DE10-Lite board using the FPGA design tool Quartus Prime and the System Builder. You will: Design and test a Binary Coded Decimal Adder. Design and test a PWM Circuit, with verification by simulation. Design and test an ADC circuit, using Quartus Prime built-in tools to verify your circuit design. Create hardware for the NIOS II soft processor, including many interfaces, using Qsys (Platform Designer). Instantiate this design into a top-level DE10-Lite HDL file. Compile your completed hardware using Quartus Prime. Enhance and test a working design, using most aspects of the Quartus Prime Design Flow and the NIOS II Software Build Tools (SBT) for Eclipse. Create software for the NIOS II soft processor, including many interfaces, using Qsys (Platform Designer) and the SBT. Compile your completed software using the SBT. Use Quartus Prime to program both the FPGA hardware configuration and software code in you DE10-Lite development kit. Record all your observations in a lab notebook pdf. Submit your project files and lab notebook for grading. This course consists of 4 modules, approximately 1 per week for 4 weeks. Each module will include an hour or less of video lectures, plus reading assignments, discussion prompts, and project assignment that involves creating hardware and/or software in the FPGA. This course includes specific hardware and software requirements. Please review the FAQ below for complete details.
Frozen in the Ice: Exploring the Arctic
University of Colorado Boulder (via Coursera)
Why would hundreds of scientists from around the world intentionally freeze a ship in Arctic sea ice for an entire year, braving subzero temperatures and months of polar darkness? This may sound like a fictional adventure movie plot, but from September 2019 through October 2020, the MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate) Arctic research expedition did just this. In this course, you’ll hear directly from MOSAiC scientists and Arctic experts as they describe why this expedition is so key for increasing our understanding of the Arctic and global climate systems and what kinds of data they will be collecting during MOSAiC on the ice, under the sea, and in the air. The course kicks off with content around Arctic geography, climate, and exploration history, and then walks learners through the basics of the components of the Arctic system: atmosphere, ocean, sea ice and ecosystems. You will also learn how the data collected during MOSAiC will be used to improve climate model projections. Finally, we will wrap up the course by exploring challenges the new Arctic faces, including how indigenous peoples in the Arctic are being impacted in different ways by a changing Arctic environment.
Global Climate Change Policies and Analysis
University of Colorado Boulder (via Coursera)
This course explores and critically analyzes historical and contemporary climate policies (e.g. Kyoto Protocol and the Paris Agreement). Political issues pertaining to energy sources, such as nuclear energy, will be reviewed. The course will focus on understanding key climate principles and terms surrounding policy development, specifically for low-income or developing countries/communities. Further, this course explores up-to-date technologies that are used in climate analysis. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. The degree offers targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder
Engineering Genetic Circuits: Modeling and Analysis
University of Colorado Boulder (via Coursera)
This course gives an introduction to how to create genetic circuit models. These models leverage chemical reactions represented using the Systems Biology Markup Language (SBML). The second module introduces methods to simulate these models using ordinary differential equation (ODE) methods. The third module teach stochastic simulation methods. The fourth module introduces several variations of the stochastic simulation algorithm. Finally, the fifth module introduces genetic technology method that leverage computational analysis for selecting parts and verifying their performance. This course can also be taken for academic credit as ECEA 5935, part of CU Boulder’s Master of Science in Electrical Engineering.
Our World and How to Accept It
University of Colorado Boulder (via Coursera)
Thriving organizations strive for equity at all levels. Dynamic global DEI initiatives strengthen connectivity within individual teams and foster cross-cultural collaboration and mutual understanding while encouraging the inclusion of employees from all regions. Broader global relations aside, there also exist country-specific ethnic dynamics that make DEI a critical conversation. Global dynamics present a possible risk (and opportunity) for organizations. In this course, we will focus on how successful DEI initiatives advance business goals, the historical context for DEI work, and definitions of several key terms and concepts. In addition, we will wrap up the importance of creating, leading, implementing and measuring the success of DEI initiatives in the workplace This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder. Course logo image credit: Marco Bianchetti. Available on Unsplash at hhttps://unsplash.com/photos/vzFTmxTl0DQ
Creating a Technology Startup Company
University of Colorado Boulder (via Coursera)
The course starts by exploring entrepreneurial ecosystems and systems thinking. The Technology Adoption Life Cycle is introduced to help explain market dynamics and support developing business strategy. Market research concepts and tools are presented that learners will apply to their course projects. Founder, key manager, and board member considerations are examined, and the qualities of effective leadership are reviewed. The operational structures and processes of a tech startup are identified, and the Balanced Scorecard is presented as a tool for tracking critical performance metrics. Learners will create a first draft of Product, Market, and Management & Operations Plans for their new product or service ideas. Creating a Startup Company can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
Leading the Way: Becoming a Sustainability Change Agent
University of Colorado Boulder (via Coursera)
Leading the Way: Becoming a Sustainability Change Agent is designed to help you craft a meaningful career that aligns with your values and drives real change in organizations, communities, and industries. Drawing from insights shared by sustainability professionals across diverse roles, you will explore your own leadership style, understand how to build resilience and influence within complex systems, and learn how to position yourself for impact in any industry. Offering an authentic, behind-the-scenes look at what it takes to become an effective sustainability change agent - whether you’re early in a career or looking to expand your influence, this course is ideal for connecting purpose with practice, and discovering how to play a more intentional role in advancing sustainability. This course was developed in collaboration with Siemens Digital Industries Software and is part of the "Design for the Circular Economy" collection. Learners who complete and pass the course can receive an industry-recognized digital badge. The “Design for the Circular Economy” microcredential and graduate certificate are developed around the educational goals of providing technical, business, and leadership knowledge and skills that inspire the transformation towards a more circular economy. This includes gaining technical knowledge to apply circular economy principles in product design, minimizing waste and maximizing impact; developing business acumen to implement innovative circular economic models that prioritize sustainability and resilience; and acquiring leadership strategies to communicate effectively and inspire change within an organization. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. Wi...
What is Climate Change?
University of Colorado Boulder (via Coursera)
In this course, learners will become familiar with the scientific evidence that demonstrates human-caused climate change. We will explore how greenhouse gases cause the Earth to warm, and why our recent warming is attributed to human activities. We will also discuss where our climate is headed, including anticipated future temperature, precipitation, and sea level. Learners will engage with the consequences of these changes on our ecosystems, infrastructure, and communities. We will also identify how political beliefs influence our attitudes about climate change, and apply that knowledge to become better climate communicators.
Project Valuation and the Capital Budgeting Process
University of Colorado Boulder (via Coursera)
This course describes the economic viability of an engineering project through the application of net present value, internal rate of return, and payback period analysis. The impacts of depreciation, taxes, inflation, and foreign exchange are addressed. The capital budgeting process is discussed, showing how companies make decisions to optimize their investment portfolio. Risk is mitigated through the application of quantitative techniques such as scenario analysis, sensitivity analysis, and real options analysis. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
Rapid Prototyping of Embedded Interface Designs
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5347, part of CU Boulder’s Master of Science in Electrical Engineering degree. Rapid Prototyping is the second of three classes in the Embedded Interface Design (EID) specialization, an online version of the on-campus EID class taught in graduate embedded systems design. This course is focused on rapid prototyping of devices and systems and the related methods, practices, and principles that will help ensure your embedded interface designs are what your users both need and want. The class includes an introduction to rapid prototyping, prototyping device and system user interfaces, prototyping devices, and design considerations and perspectives for devices. The content ranges from general design best practices to specifics for embedded devices of different types and specific flavors of user interfaces, but all are presented to support developing embedded devices. The class includes practical projects that let you try some of standard methods in software development of prototype graphical user interfaces for devices using Qt and HTML. This course can be taken for academic credit as ECEA 5347, part of CU Boulder's Master of Science in Electrical Engineering degree.
International Supply Chains and Logistics
University of Colorado Boulder (via Coursera)
This course offers a comprehensive foundation in international supply chains, logistics, transportation, and service operations. In the first two modules, you will learn the fundamentals of supply chains and explore a range of international supply chain strategies. The course then introduces the internationally recognized Supply Chain Operations Reference (SCOR) model, which provides a framework for in-depth discussions on planning, sourcing, production, and distribution within global supply chains. In the third module, you will examine international logistics, focusing on the coordination and movement of materials across the globe. This includes a thorough exploration of the various modes of international transportation that make globalization possible. The final module investigates the rapid growth of service networks in international trade, providing insight into how these networks drive and support the modern global economy. By the end of the course, you will have the knowledge and perspective necessary to understand and contribute to the evolving field of international supply chains and operations. This course is ideal for anyone interested or involved in international business, especially those in supply chains, logistics, or transportation. It’s also valuable for individuals seeking employment abroad, as it covers the key forces shaping global business. Prerequisites are minimal—just an interest in international operations management and foreign currency. Basic business knowledge is helpful, but important topics are reviewed to ensure all participants can succeed.
Introduction to Deep Learning
University of Colorado Boulder (via Coursera)
Introduction to Deep Learning provides a rigorous, concept-driven introduction to the models that power modern AI systems—from image recognition to large language models. You’ll build neural networks from first principles, understanding how forward passes, loss functions, and backpropagation enable learning. As the course progresses, you’ll train and regularize deep models, design convolutional networks for vision, model sequences with RNNs, LSTMs, and attention, and apply transformer-based architectures such as BERT, GPT, and Vision Transformers. You will also look at the latest trends in contrastive learning and CLIP. By combining mathematical foundations with practical application, this course equips you to understand, train, and use deep learning models with confidence. This course can be taken for academic credit as part of CU Boulder’s Masters of Science in Computer Science (MS-CS), Master of Science in Artificial Intelligence (MS-AI), and Master of Science in Data Science (MS-DS) degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Artificial Intelligence: https://www.coursera.org/degrees/ms-artificial-intelligence-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder
Strategic Planning for Social Media
University of Colorado Boulder (via Coursera)
By completing this course, you will gain a comprehensive understanding of how to plan and execute a successful social media strategy. You will learn to apply strategic thinking to your social media efforts, ensuring that your messaging resonates with your target audience and aligns with your company's broader business goals. This course will enable you to analyze the impact of your strategic messaging on key stakeholders and evaluate engagement to determine the next steps. What makes this course unique is its holistic approach to social media planning. You will explore the nuances of paid, earned, shared, and owned media, and learn how to leverage each type in your strategic planning. The course also delves into relationship-building strategies for audience development, helping you create content that fosters loyalty and word-of-mouth among your target audience. Additionally, you will understand the importance of visual communication and how to create an aesthetic brand image. By the end of the course, you will be equipped with the skills to plan content pillars that highlight your company's mission and core values, and to evaluate and adjust your social media content for optimal performance. This course is designed to provide you with the tools and knowledge to excel in the ever-evolving landscape of social media.
Specialty Topics: Biology Across Disciplines
University of Colorado Boulder (via Coursera)
In this course, we will explore the applicability and relationship of biology to the arts, business, and psychology. First, we’ll discuss art as a foundational practice to biology and how biology as a science can explain how we interact with the arts, in particular, our experiences making and listening to music. Next, we will discuss the business of biology and how research is funded and the process of clinical trials and human subjects research. Then we will examine two topics at the interface of psychology and biology: (1) human development from conception to adulthood, and (2) how cognition influences how we make decisions about biological issues and best practices for evaluating biological evidence in light of what we know about how we use evidence to make decisions. We will close with a discussion of education and why evidence-based education is important for promoting overall science literacy.
Regression Analysis
University of Colorado Boulder (via Coursera)
The "Regression Analysis" course equips students with the fundamental concepts of one of the most important supervised learning methods, regression. Participants will explore various regression techniques and learn how to evaluate them effectively. Additionally, students will gain expertise in advanced topics, including polynomial regression, regularization techniques (Ridge, Lasso, and Elastic Net), cross-validation, and ensemble methods (bagging, boosting, and stacking). Through interactive tutorials and practical case studies, students will gain hands-on experience in applying regression analysis to real-world data scenarios. By the end of this course, students will be able to: 1. Understand the principles and significance of regression analysis in supervised learning. 2. Grasp the concepts and applications of linear regression and its interpretation in real-world datasets. 3. Explore polynomial regression to capture nonlinear relationships between variables. 4. Apply regularization techniques (Ridge, Lasso, and Elastic Net) to prevent overfitting and improve model generalization. 5. Implement cross-validation methods to assess model performance and optimize hyperparameters. 6. Comprehend ensemble methods (bagging, boosting, and stacking) and their role in enhancing regression model accuracy. 7. Evaluate and compare the performance of different regression models using appropriate metrics. 8. Apply regression analysis techniques to real-world case studies, making data-driven decisions. Throughout the course, students will actively engage in tutorials and case studies, strengthening their regression analysis skills and gaining practical experience in applying regression techniques to diverse datasets. By achieving the learning objectives, participants will be well-equipped to excel in regression analysis tasks and make informed decisions using regression models.
Launching Your Music Career
University of Colorado Boulder (via Coursera)
Launching a career in music is an exhilarating and transformative journey that requires passion, dedication, and a strong commitment to artistic growth. This course is designed to equip musicians with the knowledge and skills to navigate the business side of their music career. This course covers a range of essential topics that will empower musicians to take control of their artistic journey and thrive in the industry. In this course, you will gain invaluable insights into effectively managing a successful gigging career. From identifying suitable venues to taking charge of bookings, you will learn the essential skills needed to navigate the dynamic world of live performances. By utilizing the Business Model Canvas template, you will develop a strategic approach to planning and executing your career goals, ensuring you stay on track and achieve long-term success. Setting up, promoting, and growing your teaching studio is another essential aspect covered in the course. Learn how to establish a thriving teaching practice, identify your Unique Selling Proposition (USP), attract and retain students, and utilize marketing techniques to promote your teaching services. After completing this course, you have the skills and knowledge necessary to become a self-sufficient music entrepreneur and to unleash your full potential as a musician in today's dynamic music industry. This course can be taken by itself or as part of the “Musician's Professional Toolbox” specialization.
Design of HVAC Distribution and Delivery Systems
University of Colorado Boulder (via Coursera)
Building energy systems are responsible for moving energy around in buildings through air, water, and refrigerant distribution systems to meet heating, ventilating, and air conditioning (HVAC) needs of the occupied spaces. This course will train engineers and architects to design these HVAC systems based on the engineering foundation established in the previous course. Students will learn the design objectives dictated by occupant comfort and health, apply engineering principles to heat and mass exchangers, design both air and water distribution systems, and explore alternative methods for providing indoor environmental comfort to occupants.
Cannabis, Mental Health, and Brain Disorders
University of Colorado Boulder (via Coursera)
This Cannabis, Mental Health, and Brain Disorders course is designed to have you think critically about the health effects of cannabis (i.e., marijuana) in the context of several mental health and neurocognitive disorders. You'll be able to identify key features of several anxiety disorders (e.g., panic disorder, generalized anxiety disorder, social anxiety disorder, PTSD), major depression, schizophrenia, multiple sclerosis, epilepsy, traumatic brain injury, and Alzheimer's and Parkinson's Disease. You'll understand the etiology and risk factors for these disorders, recognize conventional treatments, and understand the influence of different cannabinoids such as THC and CBD on these disorders. Obtaining this knowledge will be helpful in terms of informing public policy, public health, and personal decisions regarding the use of cannabis products.
Efficient Programming
University of Colorado Boulder (via Coursera)
This course is targeted to scientists, engineers, scholars, or anyone seeking to solve problems efficiently in high-performance computing environments or in the cloud. Students completing this course will have a basic understanding of how to find bottlenecks in their programs as well as how to address those bottlenecks. The course will provide a high-level introduction to modern compute node architectures of high-performance and cloud computing instances. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.
Verification and Synthesis of Autonomous Systems
University of Colorado Boulder (via Coursera)
This course will provide different techniques on the verification of autonomous systems against stability, regular, or omega-regular properties. Such techniques include Lyapunov theories, reachability analysis, barrier certificates, and model checking. Finally, it will introduce several techniques on designing controllers enforcing properties of interest over the original autonomous systems. This course can be taken for academic credit as part of CU Boulder’s Masters of Science in Computer Science (MS-CS) degrees offered on the Coursera platform. This fully accredited graduate degree offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
Linux System Programming and Introduction to Buildroot
University of Colorado Boulder (via Coursera)
This course provides an overview of System Programming for the Linux operating system, or software which is interfacing directly with the Linux Kernel and C library. The basic components of a Linux Embedded System, including kernel and root filesystem details are discussed. The Buildroot build system is introduced, which students use to build their own custom Embedded Linux system through programming assignments. Linux System Programming and Introduction to Buildroot can also be taken for academic credit as ECEA 5305, part of CU Boulder’s Master of Science in Electrical Engineering. This course includes specific hardware and software requirements. Please review the FAQ below for complete details.
Movements Are Controlled By Muscle Forces
University of Colorado Boulder (via Coursera)
Movements Are Controlled By Muscle Forces is the first course of the specialization "Science of Movement". In this course, we will delve into the mechanisms by which our nervous system communicates with our muscles, allowing us to perform a wide range of coordinated movements with precision. Whether you are a fitness enthusiast, a sports coach, a medical student, or simply curious about the inner workings of your body, this course will provide you with a comprehensive understanding of how the nervous system plays a vital role in enabling our muscles to produce movements. The discussion begins with an explanation of how the activation signal is generated by neurons and then transmitted to targeted muscles. You will learn how the nervous system provides muscles with the activation signals needed to perform movement. You will learn about the contractile properties of motor units and how the force produced by a muscle depends on the amount of motor unit activity. By the end of this course, you will have gained a deep understanding of the intricate relation between the nervous system and muscle activation. You will be equipped with knowledge that can be applied to various fields, such as exercise prescription, sports performance, physical therapy, and neurology.
What is “the mind” and what is artificial intelligence?
University of Colorado Boulder (via Coursera)
In this course, we will explore the history of cognitive science and the way these ideas shape how we think of artificial cognition.
Electric Vehicle Sensors
University of Colorado Boulder (via Coursera)
“Electric Vehicle Sensors” starts with a discussion on how electric vehicles work differently from gasoline or diesel fuel powered vehicles and the major types of electric vehicles. It then moves to the unique components of full electric and hybrid electric vehicles, and how in-vehicle and external battery charging systems work. We reference all the sensors that are used for in-vehicle and outside unique components. Then we do a deep dive into how each of these sensors work.
Fornire un feedback utile (Giving Helpful Feedback)
University of Colorado Boulder (via Coursera)
Questo corso vi insegna i semplici principi che usano i manager esperti per migliorare e motivare le prestazioni dei dipendenti. Non dovete mai evitare di dire a un dipendente "la verità" di nuovo, perché le sette tecniche che insegnamo non metteranno i dipendenti alla difensiva né li spaventeranno. Come manager, o se volete diventarlo, imparerete nello specifico cos'è un feedback, come il feedback negativo pesa di più di quello positivo e come il feedback positivo può migliorare comportamenti come la creatività o il lavoro in gruppo. Dare feedback è un'abilità che si sviluppa con il tempo. Vi forniamo un processo che potete usare per migliorare le vostre abilità di feedback e per poterli fornire con sicurezza. Scoprirete che esiste una base scientifica per molte delle osservazioni e intuizioni relative ai feedback - come ad esempio, che è difficile darli correttamente, che alle persone non piacciono e altro ancora. Questo corso vi rassicurerà, poiché imparerete come superare queste difficoltà. Speriamo che vi divertirete diventando un manager migliore!
Trees, SVM and Unsupervised Learning
University of Colorado Boulder (via Coursera)
"Trees, SVM and Unsupervised Learning" is designed to provide working professionals with a solid foundation in support vector machines, neural networks, decision trees, and XG boost. Through in-depth instruction and practical hands-on experience, you will learn how to build powerful predictive models using these techniques and understand the advantages and disadvantages of each. The course will also cover how and when to apply them to different scenarios, including binary classification and K > 2 classes. Additionally, you will gain valuable experience in generating data representations through PCA and clustering. With a focus on practical, real-world applications, this course is a valuable asset for anyone looking to upskill or move into the field of data science. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.
Field Safety Training: Changing the Culture of Fieldwork
University of Colorado Boulder (via Coursera)
The Field Safety Training: Changing the Culture of Fieldwork course provides field research team leaders and field team participants with the skills and tools to build a welcoming and supportive field culture. This course will help you and your team develop norms and codes of conduct, and review or clarify leadership and field team organization. Additionally, you and your team will learn how to identify unsafe and harmful behaviors, respond appropriately to dissipate and mitigate these behaviors, and support those impacted by the behaviors. Finally, the course will provide tools to create, build, and support inclusive mentorship, consider additional factors for mitigating risk to diverse individuals in the field, and how to build cultural inclusivity within your team. This course provides tools to address a growing awareness of the challenges of working (far) away from support networks and resources traditionally found at home. A deliberate approach to managing behaviors and hazards in the field can keep every individual safe and the team performing. This course is designed for every member of research teams operating in field environments, from seasoned academics, technical support staff to undergraduates.
Generalized Linear Models and Nonparametric Regression
University of Colorado Boulder (via Coursera)
In the final course of the statistical modeling for data science program, learners will study a broad set of more advanced statistical modeling tools. Such tools will include generalized linear models (GLMs), which will provide an introduction to classification (through logistic regression); nonparametric modeling, including kernel estimators, smoothing splines; and semi-parametric generalized additive models (GAMs). Emphasis will be placed on a firm conceptual understanding of these tools. Attention will also be given to ethical issues raised by using complicated statistical models. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder. Logo adapted from photo by Vincent Ledvina on Unsplash
Association Rules Analysis
University of Colorado Boulder (via Coursera)
The "Association Rules and Outliers Analysis" course introduces students to fundamental concepts of unsupervised learning methods, focusing on association rules and outlier detection. Participants will delve into frequent patterns and association rules, gaining insights into Apriori algorithms and constraint-based association rule mining. Additionally, students will explore outlier detection methods, with a deep understanding of contextual outliers. Through interactive tutorials and practical case studies, students will gain hands-on experience in applying association rules and outlier detection techniques to diverse datasets. Course Learning Objectives: By the end of this course, students will be able to: 1. Understand the principles and significance of unsupervised learning methods, specifically association rules and outlier detection. 2. Grasp the concepts and applications of frequent patterns and association rules in discovering interesting relationships between items. 3. Explore Apriori algorithms to mine frequent itemsets efficiently and generate association rules. 4. Implement and interpret support, confidence, and lift metrics in association rule mining. 5. Comprehend the concept of constraint-based association rule mining and its role in capturing specific association patterns. 6. Analyze the significance of outlier detection in data analysis and real-world applications. 7. Apply various outlier detection methods, including statistical and distance-based approaches, to identify anomalous data points. 8. Understand contextual outliers and contextual outlier detection techniques for capturing outliers in specific contexts. 9. Apply association rules and outlier detection techniques in real-world case studies to derive meaningful insights. Throughout the course, students will actively engage in tutorials and case studies, strengthening their association rule mining and outlier detection skills and gaining practical experience in applying these techniques to...
William Shakespeare's Romeo & Juliet: An Actor's Perspective
University of Colorado Boulder (via Coursera)
Have you ever wanted to read Shakespeare's Romeo and Juliet? This course will provide a guided reading of the script and expose you to the perspectives of actors who've performed in the play. It primarily consists of interviews with 14 professional actors who have participated in at least one production of Romeo & Juliet somewhere in the US, at theaters and Shakespeare festivals including the American Shakespeare Center, American Players Theatre, and the Arkansas, Colorado, Illinois, New Jersey, and Utah Shakespeare Festivals. In completing this course, learners will be able to describe the plot of Romeo & Juliet, identify major characters and themes, analyze and interpret heightened text, and consider multiple theatrical approaches to the play. This course strives to be of interest to multiple audiences, but we think it may particularly appeal to... Shakespeare enthusiasts and the Shakespeare curious in all walks of life Actors, theater practitioners, and teachers of Shakespeare everywhere Secondary school and college students interested in expanding their studies of Shakespeare Interested readers with little or no familiarity with Shakespeare Logo image courtesy of https://picryl.com/media/romeo-and-juliet-12
Race, Gender, and Culture
University of Colorado Boulder (via Coursera)
This course will explore baseball through the lenses of race, gender, and culture. For good and for ill, baseball has been at the forefront of how the United States has dealt with these issues. Does baseball leading the way with desegregation negate that the sport was at the forefront of segregation with its Gentlemen’s Agreements? What is the historical legacy of baseball providing opportunities for women during wartime, in a way that other North American professional sports leagues did not? These are some of the ideas that this course will explore as it shows baseball’s virtues and flaws.
The Softer Side of Science Communication
University of Colorado Boulder (via Coursera)
In this course, you will continue to explore how to develop and implement evidence-based methods for science communication. Here we’ll be looking at the softer but no less important side of science communication. We’ll cover the basics of human emotion, building connection with your audience through empathy and authenticity, how improv can improve your science communication game, non-verbal communication, and managing adversity in science communication. We’ll close with a discussion of how to be an inclusive and trauma-informed science communicator.
Ombudsman: A Unique Role in Dispute Resolution
University of Colorado Boulder (via Coursera)
Do you know what an ombudsman is? Do you know they exist across the entire world? Do you know how an ombuds can help you? In his course, you’re offered a rare look inside the many ways ombuds facilitate building fairness, trust, and effective communication across various institutions and communities. Continuing to break the boundaries of education, this course invites you to explore at your own pace and preference, a range of ombuds models and specialized roles, and learn how each type of ombuds enacts their own set of core principles in distinct ways. Through case studies, presentations, and discussions with leading ombuds practitioners, you’ll gain insight into the real-world scenarios that highlight ombudsman as dispute resolution professionals who navigate complex dilemmas, mediate conflicts, and empower others to influence systems for the better. Whether you hope to become an ombuds, establish a program, understand how ombuds compare to other dispute resolution models, or are simply curious about this fascinating field, this course offers an accessible and thought-provoking introduction to a role that helps individuals, organizations, and institutions thrive.
Relational Database Design
University of Colorado Boulder (via Coursera)
Have you ever wanted to build a database but don't know where to start? This course will provide you a step-by-step guidance. We are going to start from a raw idea to an implementable relational database. Getting on the path, practicing the real-life mini cases, you will be confident and comfortable with Relational Database Design. Let's get started! Relational Database Design can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.
Data Driven Decision Making
University of Colorado Boulder (via Coursera)
Once we have generated data, we need to answer the research question by performing an appropriate statistical analysis. Engineers and business professionals need to know which test or tests to use. Through this class, you will be able to perform one sample tests for comparison to historical data. You will also be able to determine statistically significant relationships between two variables. You will be able to perform two sample tests for both independent and dependent data. Finally, you will analyze data with more than two groups using the Analysis of Variance. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
Data Science as a Field
University of Colorado Boulder (via Coursera)
This course provides a general introduction to the field of Data Science. It has been designed for aspiring data scientists, content experts who work with data scientists, or anyone interested in learning about what Data Science is and what it’s used for. Weekly topics include an overview of the skills needed to be a data scientist; the process and pitfalls involved in data science; and the practice of data science in the professional and academic world. This course is part of CU Boulder’s Master’s of Science in Data Science and was collaboratively designed by both academics and industry professionals to provide learners with an insider’s perspective on this exciting, evolving, and increasingly vital discipline. Data Science as a Field can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.
Space is Everywhere
University of Colorado Boulder (via Coursera)
You are here! Welcome to Course 4 - Space is Everywhere and the last course of this specialization. You are on the final stretch of this journey to finding your Pathway to Space. The topics of Course 4 span four weeks and nine lessons with 36 learning objectives. This course contains some of my most favorite aha moments in the the entire specialization. I hope that you find them and that they impact you in a positive way. We will discuss how space is communicated through news, art, movies, books, music and more. Space is everywhere in our lives and therefore everyone can be involved in it. So keep up the pace. You can do this. Your reward awaits you, finding your pathway to space. Week 1 - We will start with Space in Journalism with Paul Daugherty where Paul and I will discuss the importance of communicating science and space matters in an engaging and accurate way. Space and Music, with Dr. Jay Keister, explores role music has had and continues to have in our perceptions of space. Both lessons are eye and ear opening. Week 2 - This week includes two special discussions centered around art. To bring the wonder of space and the science we do to everyone is best done through art. In the Art of Space, Erin Espelie and I discuss the significance of art as effective tool to inspire those interested in space to pursue and/or question it further. Erin is filmmaker and created a film just for this course. Joby Harris and I discuss the significance of Visualizing Space Exploration in his lesson. Joby uses many tools to bring a space mission to life well before it has even been funded. He explains his process and demonstrates some of his creativity in a interesting demonstration. Week 3 - In this time of history, movies and tv shows play a large role in the visual entertainment of humans and some animals. However before this medium, writings played that role. In this week's lesson we discuss both. With Scott Millspaugh's lesson on Space Through the Ages, we discuss how s...
Advanced Visualizations using Tableau
University of Colorado Boulder (via Coursera)
This advanced Tableau course brings you into the world of the Tableau power-user where you will learn how to create advanced visualizations (including geographic visualizations) in Tableau. You'll also understand how data is structured and how to use this to your advantage when creating calculations and aggregations that go above and beyond. We'll cover analytical concepts like forecasting, trends, and clustering and by the end of this course you will be able to create truthful visualizations and accurate insights into data. You will be able to confidently say "I'm a Tableau expert". Photo by Bilal Mansuri on Unsplash
Textual Elements of Design: Fonts, Typography, and Spacing
University of Colorado Boulder (via Coursera)
Graphic design is telling a story by using both images and text. With that definition in mind, this course will focus on the textual elements of graphic design. From the history of typography, the difference between type, fonts and text as well as exposure to typography spacing, students will learn the value of selecting the best kind of type and combinations of fonts to get their message across in a visually pleasing manner.
Real-Time Mission-Critical Systems Design
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5317, part of CU Boulder’s Master of Science in Electrical Engineering degree. Upon completion of this course the learner will know the difference between systems you can bet your life on (mission critical) and those which provide predictable response and quality of service (reliable). This will be achieved not only by study of design methods and patterns for mission critical systems, but also through implementation of soft real-time systems and comparison to hard real-time. Methods of verification to determine ability to meet mission critical as well as soft real-time requirements will be learned so that the learner can properly assess risk, reliability and impact of failure in real-time systems. At the end of this course learners will be able to apply an architectural style (cyclic executive, RTOS, or embedded Linux) to more detailed design of a mission critical system, a soft real-time system, or a mixed hard and soft real-time system, including: ● Thorough understanding of hardware/software device interfaces and resource view for hardware abstraction layers (HAL, BSP) ● Design trade-offs with different real-time hardware architectures including single core, multi-core, hybrid-FPGA, GP-GPU, and DSP systems, with emphasis on multi-core ● Mission critical embedded systems architecture and key design elements ● Fault tolerant processing, memory, and I/O concepts This course includes specific hardware and software requirements. Please review the FAQ below for complete details.
Introduction to Power Semiconductor Switches
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5721, part of CU Boulder’s Master of Science in Electrical Engineering. This course is primarily aimed at first year graduate students interested in engineering or science, along with professionals with an interest in power electronics and semiconductor devices . It is the first course in the "Semiconductor Power Device" specialization that focusses on diodes, MOSFETs, IGBT but also covers legacy devices (BJTs, Thyristors and TRIACS) as well as state-of-the-art devices such as silicon carbide (SiC) Schottky diodes and MOSFETs as well as Gallium Nitride (GaN) HEMTs. The specialization provides an overview of devices, the physics background needed to understand the device operation, the construction of a device circuit model from a physical device model and a description of the device fabrication technology including packaging. This first course provides an introduction to semiconductor power switches, including a classification based on power switch properties, a description of key power switches, an overview of device data sheets, and the identification of on-state and power losses of diodes and MOSFET individually and in a power convertor circuit. It provides the link between power converter applications and individual devices, through analysis and simulation and prepares learners for the in-depth device analysis of the other courses in the specialization.
The Challenges of Modern Caregiving
University of Colorado Boulder (via Coursera)
Care workers are occasionally lauded as “heroes” of society, but the special challenges they face are not fully understood. This course examines how the organization of care has changed in modern times and the dilemmas those developments pose to helping professionals. Among the questions it engages are: How does the meaning of care change when it is performed outside the family? Do bureaucratic systems discourage individuals from taking responsibility for others’ suffering? How do care professionals manage their emotions and those of their clients? Can and should care work be rehumanized? In addition to helping learners develop informed responses to these pressing issues, The Challenges of Modern Caregiving will give students the chance to learn a method that identifies gaps in existing care systems.
Temporal Logic Model Checking
University of Colorado Boulder (via Coursera)
This course introduces the basic concepts of functional verification and model checking, highlighting their importance in modern system designs. It explains different modeling formalisms for representing the behavior of hardware and software, which are either suitable for automated analysis or can represent data-dependent controls that are common in computing system designs. Additionally, it describes system compositions with respect to different communication models. This course can also be taken for academic credit as ECEA , part of CU Boulder’s Master of Science in Electrical Engineering.
Statistics and Data Analysis with Excel, Part 2
University of Colorado Boulder (via Coursera)
This course is meant to be a direct continuation of "Statistics and Data Analysis with Excel, Part 1." Therefore, it is not recommended to take Part 2 unless you've also taken Part 1. Building on the topics learned in Part 1 of the course (probability, probability mass and density functions, the normal and standard normal distributions), this course dives into a more applied side of statistics. Topics in Part 2 include sampling distributions; one-sample hypothesis tests on the mean, variance, and binomial proportion; two-sample hypothesis tests (comparison of means, variances, and binomial proportions of samples drawn from two populations); simple (straight-line) regression; multilinear regression; and analysis of variance (ANOVA). Statistical techniques are taught with the help of Microsoft Excel, which is an intuitive software package that has many built-in functions and tools for statistical analysis. This course is the second course out of three that comprise the specialization "Statistics and Applied Data Analysis." Course 3 ("Statistics and Data Analysis with R") focuses on statistical analysis in the statistical software package RStudio.
Sustainable Marketing and Consumer Trends
University of Colorado Boulder (via Coursera)
Offered as the second course in the Transformative Leadership in the Circular Economy specialization, Sustainable Marketing and Consumer Trends examines how marketing serves as a critical driver of sustainable transformation. As circular business models and ESG expectations reshape competitive landscapes, marketing leaders must navigate new pressures to communicate responsibly, build trust, and align with shifting consumer values. This course examines the evolving role of marketing in driving environmental and social impact, from foundational principles of sustainable marketing to strategic brand alignment, stakeholder engagement, and regulatory compliance. Through real-world case studies, emerging market trends, and interactive assignments, you will learn how to craft credible, values-driven messaging and identify opportunities where marketing can accelerate sustainable business transformation. Topics include greenwashing, the say-do gap, ESG communication, circular marketing, regulatory influence, and digital traceability tools. The course prepares learners from all backgrounds to lead ethically, navigate complexity, and connect sustainability to consumer value. This course was developed in collaboration with Siemens Digital Industries Software and is part of the "Design for the Circular Economy" collection. Learners who complete and pass the course can receive an industry-recognized digital badge. The “Design for the Circular Economy” microcredential and graduate certificate are developed around the educational goals of providing technical, business, and leadership knowledge and skills that inspire the transformation towards a more circular economy. This includes gaining technical knowledge to apply circular economy principles in product design, minimizing waste and maximizing impact; developing business acumen to implement innovative circular economic models that prioritize sustainability and resilience; and acquiring leadership strategies to communicate e...
Requirement Specifications for Autonomous Systems
University of Colorado Boulder (via Coursera)
This course will discuss different ways of formally modeling requirements of interest for autonomous systems. Examples of such requirements include stability, invariance, reachability, regular languages, omega-regular languages, and linear temporal logic properties. In addition, it will introduce non-deterministic finite and büchi automata for recognizing, respectively, regular languages and omega-regular languages. This course can be taken for academic credit as part of CU Boulder’s MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
Renewable Power and Electricity Systems
University of Colorado Boulder (via Coursera)
The energy revolution in underway. Renewable energy is growing at an astounding pace - notably in electricity. Wind turbines and solar photovoltaic (PV) systems account for most new power plants built worldwide, and are essential to building a low-carbon and sustainable energy future. As a result, there are countless new opportunities in renewable electricity. This course provides a solid grounding in the basics of renewable electricity. We'll start with how electricity is measured, how electricity systems operate, and how renewable technologies like wind turbines and solar PV work. We'll then cover technical and market fundamentals: how and why renewables are driving change in electricity systems worldwide, how electricity systems are changing to accommodate all these new renewables, and what that all means for those seeking to understand and participate in the global transformation of electricity systems. This global transformation is just beginning; with knowledge gained from this course you'll be ready to jump on board. Course logo image credit: "Wind Turbine" icon courtesy of Vectors Point from the Noun Project.
Displays
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5607, part of CU Boulder’s Master of Science in Electrical Engineering degree. Displays Course Introduction The course will dive deep into electronic display devices, including liquid crystals, electroluminescent, plasma, organic light emitting diodes, and electrowetting based displays. You'll learn about various design principles, affordances and liabilities, and also a variety of applications in the real world of professional optics. Course Learning Outcomes At the end of this course you will be able to… (1) Select a display technology for a given application (LIDAR, imaging, microscopy etc.) (2) Design a system around the limitations of a given display technology (ie. addressing) (3) Design a system that maximizes contract
Data Analysis with Tidyverse
University of Colorado Boulder (via Coursera)
This course continues our gentle introduction to programming in R designed for 3 types of learners. It will be right for you, if: • you want to do data analysis but don’t know programming • you know programming but aren’t too familiar with R • you know some R programming but want to learn more about the tidyverse verbs It is best taken following the first course in the specialization or if you already are familiar with ggplot, RMarkdown, and basic function writing in R. You will use learn to use readr to read in your data, dplyr to analyze your data, and stringr and forcats to manipulate strings and factors.
Blended Language Learning: Design and Practice for Teachers
University of Colorado Boulder (via Coursera)
This course is for language educators who wish to learn how to build and teach a blended language course. You may receive 1.5 Graduate Teacher Education credits (GRTE) for completing this course. See below for more information. This course is divided into four modules. In the first module we are going to discuss the origins and effectiveness of the blended learning model. In the second module, we are going to look at course level considerations such as how to choose a blended format or how to build a blended course syllabus. In the third module, we are going to focus on the unit level. We are going to discuss how to plan a blended unit, how to go about presenting content, designing blended activities and assessment strategies. In the fourth module, we're going to turn our attention to the teaching aspect of the blended learning experience. At the end of the course, you have the option to put what you have learned into practice through an optional peer-reviewed assignment (Honors lesson). This assignment is not required to complete the course unless you wish to obtain Graduate Teacher Credits (GRTE). This course includes short quizzes, discussion questions, and an optional scaffolded peer-reviewed assignment. If you complete all the assignments, at the end of this course you will have fairly fleshed out a blended unit and you will be well on your way to building your own blended language course. Upon completion of this course, students will be able to: Explain blended learning as a teaching modality and discuss its effectiveness List and discuss the main instructional design steps involved in building a blended language course Select tools and technologies to support blended language learning Discuss effective blended teaching strategies GRTE credits: Credits earned for GRTE courses are not applicable toward a degree program offered at the University of Colorado Boulder but may be used for teacher professional enhancement, including relicensure and sc...
Diode - pn Junction and Metal Semiconductor Contact
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5631, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course presents in-depth discussion and analysis of pn junction and metal-semiconductor contacts including equilibrium behavior, current and capacitance responses under bias, breakdown, non-rectifying behavior, and surface effect. You'll work through sophisticated analysis and application to electronic devices. At the end of this course learners will be able to: 1. Analyze pn junction at equilibrium and under bias, capacitance and current characteristics, and breakdown behavior 2. Analyze metal-semiconductor contact at equilibrium and under bias, capacitance and current characteristics, non-rectifying contact and surface effects
Principles of Public Relations
University of Colorado Boulder (via Coursera)
In this course, learners are exposed to an overview of public relations principles and theories relevant to practice. You will explore the field, including the origin and trends affecting the future of the industry as well as how to land a job in public relations. This course provides a broad overview of working in public relations and how different tenets of persuasion are used in practice. The course also addresses ethical implications of public relations.
The Neuroscience of Leading Transformational Organizations
University of Colorado Boulder (via Coursera)
Organizations need to stay on the cutting edge of human performance to remain relevant, now and in the future. The way we've led the people in our organizations in the past is no longer sufficient for success. The landscape of human capital is changing, and a more human-centered approach is warranted to attract and keep the most talented workers. What if our organizations could better harness creativity and innovation? What if we could navigate uncertainty and change with courage and confidence to lower stress and fear? How would creating a flow inducing workforce improve productivity and enhance engagement? How can neuroscience help us better understand gender and diversity challenges? This course is part of the "Neuroscience of Leadership" specialization, which examines leadership techniques through the lens of social cognitive neuroscience and psychology. Utilizing the latest research, we develop a leadership practice based on the foundation of neuroscience. The focus of this course is leading transformational organizations that are set up to excel, now and in the future. In this course you’ll come aways with tool and techniques to navigate change and uncertainty better, foster a diverse workforce, be more innovative and creative, nurture a flow inducing workplace and discover new ways to use neuroscience in business. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
The Sun and the Total Eclipse of August 2017
University of Colorado Boulder (via Coursera)
A total eclipse is one of the most spectacular sights you can ever see! It looks like the end of the world may be at hand. There is a black hole in the sky where the sun should be. Pink flames of solar prominences and long silver streamers of the sun's corona stretch across the sky. It gets cold, and animals do strange things. People scream and shout and cheer, and remember the experience their whole life. But total eclipses are important scientifically as well. They let us see parts of the sun’s atmosphere that are otherwise invisible. A total eclipse presented the first chance to test Einstein’s prediction that matter can bend space – like near a black hole. The best total eclipse in the United States in 40 years happens August 21st, 2017. This course has two primary goals: 1) to get you excited for the total solar eclipse coming in August 2017 and prepare you and your community to safely view it 2) to provide an inviting overview of the science of the sun and the physics of light If you are most interested in preparing for the eclipse, you can hop right into Week 5! If you want the full course experience, and to get some fun scientific context for what you'll be seeing on August 21st, start with Week 1 and move through the course week by week! [Note: if you start with Week 1, you can skip through some of the repeated material once you get to Week 5.] Overall this course will prepare you to... Safely view the total or partial solar eclipse Help others watch safely and even make money by leading a “neighborhood watch” of the eclipse * Review fundamental sun science, including the physics of light, how astronomers study the sun, how it formed, how we know what’s inside it, and where the energy that supports life on earth is generated
Climate Resilience and Urban Sustainability
University of Colorado Boulder (via Coursera)
Welcome to Climate Resilience and Urban Sustainability, the first course in the Building Sustainable Cities Specialization. By completing Climate Resilience and Urban Sustainability, you will gain the ability to apply a comprehensive toolkit of case studies to address urban resilience and sustainability. You will be empowered to create and advocate for policy, technological, and other changes aimed at improving these outcomes within their communities. You will also develop the skills to analyze and understand the origins, causes, and consequences of current sustainability and resilience challenges. You will benefit from a deeper understanding of the challenges cities face today, particularly in the context of global climate change and social equity. The course provides insights into the history of land use and urban development in the United States, highlighting the rise of automobile dependence and the impact of fossil fuels. It also explores the policies and politics that contribute to unsustainable development patterns. What makes this course unique is its focus on practical application. Through quizzes and real-world examples, you will engage with topics such as urban heat, flood risk, and climate costs, gaining the knowledge needed to identify and address these issues in your own community. The course also covers innovative planning frameworks like New Urbanism and Smart Growth, offering you a forward-thinking approach to urban development.
Science of Exercise
University of Colorado Boulder (via Coursera)
Learners who complete Science of Exercise will have an improved physiological understanding of how your body responds to exercise, and will be able to identify behaviors, choices, and environments that impact your health and training. You will explore a number of significant adjustments required by your body in order to properly respond to the physical stress of exercise, including changes in carbohydrate, fat and protein metabolism, nutritional considerations, causes of muscle soreness & fatigue, and the effectiveness and dangers of performance enhancing drugs. Active learning assessments will challenge you to apply this new knowledge via nutrition logs, heart rate monitoring, calculations of your total daily caloric expenditure and body mass index (BMI). Finally, learners will examine the scientific evidence for the health benefits of exercise including the prevention and treatment of heart disease, diabetes, cancer, obesity (weight loss), depression, and dementia.
Thriving 101: Designing a Fulfilling Life & Career
University of Colorado Boulder (via Coursera)
Are you ready to enhance your life? Are you craving more fulfillment and less stress? Is it possibly time to make a career change? Before aimlessly and impulsively diving into changes in your life, it’s a smart move to take the time to learn what the science and other experts have revealed truly leads to fulfilling lives and careers. This course will help you design a life well-aligned with who you are, and it will empower you to confidently make meaningful changes moving forward. You’ll learn about what science has demonstrated enhances one’s happiness level in life. You’ll also discover effective strategies to utilize when making a career choice. In a world that is often unpredictable and chaotic, obtaining the knowledge presented in this course can help you feel much more confident designing a fulfilling life and career. For a preview of the course, watch the following video: https://youtu.be/mu7ZxkHMLk8 Course logo by Gian Luca Pilia on Unsplash
Sensors and Sensor Circuit Design
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5340, part of CU Boulder’s Master of Science in Electrical Engineering degree. After taking this course, you will be able to: ● Understand how to specify the proper thermal, flow, or rotary sensor for taking real-time process data. ● Implement thermal sensors into an embedded system in both hardware and software. ● Add the sensor and sensor interface into a microprocessor based development kit. ● Create hardware and firmware to process sensor signals and feed data to a microprocessor for further evaluation. ● Study sensor signal noise and apply proper hardware techniques to reduce it to acceptable levels. This course includes specific hardware and software requirements. Please review the FAQ below for complete details.
Fracciones para la Educación Primaria con PhET
University of Colorado Boulder (via Coursera)
Las Simulaciones Interactivas PhET (https://phet.colorado.edu/es), es un proyecto de la Universidad de Colorado en Boulder, ofrece simulaciones de ciencias y matemáticas divertidas, gratuitas, interactivas y basadas en la investigación para educación primaria, secundaria y superior. Cada simulación se somete a pruebas exhaustivas para garantizar su eficacia educativa. Todas las simulaciones y los recursos asociados son de código abierto y, por lo tanto, gratuitos para todos los usuarios. En este curso, aprenderás a: Adquirir estrategias de enseñanza y facilitación sobre cómo usar simulaciones de PhET en un aula de 3.º a 5.º grado (de 7 a 11 años) y participar en lecciones que respalden el aprendizaje de los estudiantes sobre fracciones. Específicamente, (a) Desarrollar familiaridad con las fracciones a través de simulaciones PhET que incluyen Fracciones: Intro, Parejas de Fracciones, Construye una Fracción, Fracciones: Números Mixtos y Fracciones: Igualdades, y (b) reflexionar sobre estrategias para enseñar fracciones, incluidos grupos pequeños, demostraciones, narración de historias y predicciones, al tiempo que se maximiza la conversación de los estudiantes. Para finalizar este curso, deberás completar debates, cuestionarios calificados automáticamente y una tarea importante con revisión por pares. La tarea de revisión por pares consiste en crear una lección (usando una plantilla) sobre fracciones usando una de las simulaciones PhET presentadas en este curso y revisar las lecciones de otros (utilizando una rúbrica proporcionada).
Industrial IoT Markets and Security
University of Colorado Boulder (via Coursera)
In Industrial IoT Markets and Security, students will learn about markets (Transportation, Agriculture and more), platforms (IBM Watson Cloud services for example), software and services, networking basics, wireless communications protocols and a thorough introduction to computer security. Developing tomorrow's industrial infrastructure is a significant challenge. This course goes beyond the hype of consumer IoT to emphasize broader application areas such as Advanced Manufacturing and Building Automation. The Industrial Internet of Things (IIoT), is also known as Industry 4.0. Cisco’s CEO stated: “IoT overall is a $19 Trillion market. IIoT is a significant subset including digital oilfield, advanced manufacturing, power grid automation, and smart cities”. This is part 1 of the specialization. The primary objective of this specialization is to closely examine emerging markets, technology trends, applications and skills required by engineering students, or working engineers, exploring career opportunities in the IIoT space. The structure of the course is intentionally wide and shallow: We will cover many topics, but will not go extremely deep into any one topic area, thereby providing a broad overview of the immense landscape of IIoT. There is one exception: We will study security in some depth as this is the most important topic for all "Internet of Things" product development. In this course students will learn : What Industry 4.0 is and what factors have enabled the IIoT. Key skills to develop to be employed in the IIoT space. What platforms are, and also market information on Software and Services. What the top application areas are (examples include Manufacturing and Oil & Gas). What the top operating systems are that are used in IIoT deployments. About networking and wireless communication protocols used in IIoT deployments. * About computer security; encryption techniques and secure methods for insuring data integrity and authent...
Deep Learning for Natural Language Processing
University of Colorado Boulder (via Coursera)
Deep learning has revolutionized the field of natural language processing and led to many state-of-the-art results. This course introduces students to neural network models and training algorithms frequently used in natural language processing. At the end of this course, learners will be able to explain and implement feedforward networks, recurrent neural networks, and transformers. They will also have an understanding of transfer learning and the inner workings of large language models. This course can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
Introduction to Python for Scientific Computing
University of Colorado Boulder (via Coursera)
Whether you’re a scientist, engineer, student, or industry professional working with data or quantitative tasks, this course is your gateway to solving real-world problems with Python. Designed for beginners, no prior programming experience is required. We start with the basics and build up to powerful tools and techniques used every day in research and industry. You’ll learn how to fit data to custom models, automate repetitive tasks, create clear and professional visualizations, work efficiently with arrays, solve optimization problems, integrate and differentiate mathematical functions, and more using essential libraries like NumPy and SciPy. By the end of the course, you’ll be ready to start tackling scientific computing challenges in your field and build a strong foundation for more advanced topics like data science, statistics, and computational modeling. Whether you’re just starting out or looking to sharpen your skills, this practical, hands-on course opens the door to a wide range of applications across science, engineering, and beyond.
Social Media Advertising
University of Colorado Boulder (via Coursera)
Social media platforms are driven by digital advertising. As a result, social media advertising is affordable and can be purchased at almost any budget. Targeting options in social media advertising are also sophisticated. It is possible to tailor ads around a user’s behaviors (e.g., likes, posts and clicks). This course unpacks small business use cases of Facebook, Instagram and Twitter advertising. From basic campaigns, to advanced techniques including lookalike modeling and audience retargeting, this course shows how to effectively advertise on three major social media platforms.
Spacecraft Relative Motion Control
University of Colorado Boulder (via Coursera)
Spacecraft relative motion control solutions stabilize the spacecraft relative to another spacecraft. This is useful control the approach prior to docking, to circumnavigate while inspect the target object, or to remain in a bounded vicinity about the target. This course covers the basics of nonlinear control theory to apply Lyapunov's direct method to the relative motion control problem. Feedback control strategies using inertial coordinates, differential orbit elements and Hill frame coordinates are studied. Reference relative motions are considered that are either naturally occurring or require a feed-forward control component. After this course, you will be able to... Develop nonlinear relative motion control strategies Discuss the stability guarantees of these control solutions Numerically simulate the relative motion control solutions Create reference motions that are natural and don't require control effort when the tracking errors have converged * Study the impact of uncertain dynamics and control errors. Please note: this is an advanced course, best suited for working engineers or students with college-level knowledge in mathematics and physics. The material covered is taking from the book "Analytical Mechanics of Space Systems" available at https://arc.aiaa.org/doi/book/10.2514/4.105210.
Introduction to Generative AI
University of Colorado Boulder (via Coursera)
This introductory course offers a comprehensive exploration of Generative AI, including Transformers, ChatGPT for generating text, and Generative Adversarial Networks (GANs), the Diffusion Model for generating images. By the end of this course, you will gain a basic understanding of these Generative AI models, their underlying theories, and practical considerations. You will build a solid foundation and become ready to dive deeper into more advanced topics in the next course.
Spacecraft Relative Motion Kinematics and Kinetics
University of Colorado Boulder (via Coursera)
Spacecraft relative motion control has many applications including rendezvous and docking, circumnavigation, on orbit assembly, servicing, etc. The course Spacecraft Relative Motion Kinematics and Kinetics covers the fundamentals of describing the motion of one spacecraft as seen by another spacecraft. A range of relative coordinates are investigated. Further, the course covers developing the differential equations of motion of the relative motion and considers a range of assumptions on separation distances. Finally, the impact of the J2 perturbation on the relative motion is studied. After this course, you will be able to... Describe relative motion using rectilinear or curvilinear Hill frame coordinates, using relative orbit elements, as well as using differential orbit elements. Develop the differential equations of relative motion for both near circular and highly elliptical chief motions Predict the impact of perturbations on the relative motion Understand how to setup relative orbits that remain bounded to the chief. Please note: this is an advanced course, best suited for working engineers or students with college-level knowledge in mathematics and physics. The material covered is taking from the book "Analytical Mechanics of Space Systems" available at https://arc.aiaa.org/doi/book/10.2514/4.105210.
Ethical Decision Making for Success in the Tech Industry
University of Colorado Boulder (via Coursera)
This course focuses on how to do it right. That is, it focuses on methodologies that we, as leaders, can use to figure out the right course of action. Some leadership ethical decisions are fairly straight forward; many don’t offer clear solutions. This course is where we find the knowledge and techniques to help us through the ethical tough spots. Various approaches are examined. These include various theories that help to guide our ethical decision making. Also discussed are ethical awareness, moral decision making, and the courage necessary to make those decisions. Lastly, we look at the ethical challenges to individuals and leaders. The goal of this course is to understand how to live an ethical professional life. In any incarnation of that goal, the path will not be easy. But, it is possible. This discussion of the “how”, helps us when a clear path is not easily found. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
Challenges of Leading Technical Teams
University of Colorado Boulder (via Coursera)
Great Leaders lead by example. They protect their team members, empower them, and help them to improve and grow while the team members, in turn, help the organization improve and grow. Working together with the team, they envision what the organization could be and inspire others to help execute the strategy that will take them there. Many times, they see their team members as more of a family than simply as business acquaintances. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
Promotional Materials Every Musician Needs
University of Colorado Boulder (via Coursera)
As the saying goes, first impressions are everything, especially in the arts. That's why it's so important to have the skills and knowledge you need to create effective promotional materials that will help you stand out from the crowd. In this course, you will learn everything you need to know about creating powerful promotional materials that effectively showcase your talent and enhance your professional image. From artist bios and captivating headshots to polished resumes/CVs, persuasive cover letters, attractive websites, and engaging promotional videos, this course will walk you through the promotional materials you need to establish a strong and professional presence in the music industry. By mastering the art of creating compelling promotional materials, you can effectively showcase your talent, convey your unique brand identity, and leave a lasting impression on your target audience. This course can be taken by itself or as part of the “Musician's Professional Toolbox” specialization.
Linux Embedded System Topics and Projects
University of Colorado Boulder (via Coursera)
This course is used as the capstone in a three course sequence, including Linux System Programming and Introduction to Buildroot and Linux Kernel Programming and Introduction to Yocto Project. Both of these courses must be completed before starting this course. This course builds on the content in the previous two prerequisite courses to develop a final project of your choosing targeting Linux device targeting hardware. The final project is delivered using concepts from Agile Scrum. Several pertinent, recent, and relevant Embedded System development related topics are covered as a part of the course curriculum, which you may optionally choose to incorporate into your final project. Linux Embedded Systems Topics and Projects can also be taken for academic credit as ECEA 5307, part of CU Boulder’s Master of Science in Electrical Engineering. This course includes specific hardware and software requirements. Please review the FAQ below for complete details.
The Structured Query Language (SQL)
University of Colorado Boulder (via Coursera)
In this course you will learn all about the Structured Query Language ("SQL".) We will review the origins of the language and its conceptual foundations. But primarily, we will focus on learning all the standard SQL commands, their syntax, and how to use these commands to conduct analysis of the data within a relational database. Our scope includes not only the SELECT statement for retrieving data and creating analytical reports, but also includes the DDL ("Data Definition Language") and DML ("Data Manipulation Language") commands necessary to create and maintain database objects. The Structured Query Language (SQL) can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.
Wind Turbine Sensors
University of Colorado Boulder (via Coursera)
“Wind Turbine Sensors” starts with a discussion on how wind turbines generate energy and the major parts of a wind turbine. It then moves to a deep dive on the mechanical components (turbine blades, hub assembly, gearbox. yaw drive, brakes) and the sensors that monitor these components. Then we discuss the generator and transformer and sensors for these electrical components. Finally, we discuss the sensors that measure the wind speed and sensors that optimize electrical power. Wind Turbine Sensors can also be taken for academic credit as ECEA 5350, part of CU Boulder’s Master of Science in Electrical Engineering.
Modeling of Autonomous Systems
University of Colorado Boulder (via Coursera)
This course will explain the core structure in any autonomous system which includes sensors, actuators, and potentially communication networks. Then, it will cover different formal modeling frameworks used for autonomous systems including state-space representations (difference or differential equations), timed automata, hybrid automata, and in general transition systems. It will describe solutions and behaviors of systems and different interconnections between systems. This course can be taken for academic credit as part of CU Boulder’s MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
Hardware Description Languages for FPGA Design
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5361, part of CU Boulder’s Master of Science in Electrical Engineering degree. Hardware Description Languages for Logic Design enables students to design circuits using VHDL and Verilog, the most widespread design methods for FPGA Design. It uses natural learning processes to make learning the languages easy. Simple first examples are presented, then language rules and syntax, followed by more complex examples, and then finally use of test bench simulations to verify correctness of the designs. Lecture presentations are reinforced by many programming example problems so that skill in the languages is obtained. After completing this course, each student will have fundamental proficiency in both languages, and more importantly enough knowledge to continue learning and gaining expertise in Verilog and VHDL on their own. This course includes specific hardware and software requirements. Please review the FAQ below for complete details.
Object-Oriented Analysis and Design: Foundations & Concepts
University of Colorado Boulder (via Coursera)
An applied analysis and design class that addresses the use of object-oriented techniques. Topics include domain modeling, use cases, architectural design and modeling notations. Students apply techniques in analysis and design projects. Focus is on key object-oriented elements and concepts. This course can be taken for academic credit as part of CU Boulder’s Masters of Science in Computer Science (MS-CS) degrees offered on the Coursera platform. This fully accredited graduate degree offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
Introdução às Simulações PhET para Educação STEM
University of Colorado Boulder (via Coursera)
Simulações Interativas PhET (https://phet.colorado.edu/pt_BR), um projeto da Universidade do Colorado em Boulder, oferece simulações de ciências e matemática divertidas, gratuitas e interativas baseadas em pesquisa para uso no ensino fundamental, médio e superior. Testamos e avaliamos extensivamente cada simulação para garantir a eficácia educacional. Todas as simulações são de código aberto e gratuitas para todos os alunos e professores. Neste curso, você aprenderá como acessar e compartilhar simulações PhET com seus alunos e explorar os recursos que tornam as simulações PhET uma ferramenta poderosa para professores de ciências e matemática. Você também aprenderá como garantir a equidade no seu ensino por meio do uso da aprendizagem ativa. Este curso é o primeiro do programa de cursos integrados “Aprendizagem Ativa em STEM com Simulações Interativas PhET”, que inclui 4 cursos no total. Para concluir este curso, você precisa concluir uma tarefa com Revisão por Pares: 1) Selecionar simulações PhET. Este curso também está disponível em espanhol como “Introducción a las Simulaciones PhET para la Educación STEM” e em inglês como "Introduction to the PhET Simulations for STEM Education".
Storying the Self: Telling our Stories
University of Colorado Boulder (via Coursera)
Ask for and give constructive feedback on your work, and consider venues for sharing your stories as both a leader and creator. In leadership contexts, this translates to authentic purpose, vision, and values. You’ll engage with a creative assignment with the intention of creating and polishing a story from your life that can be shared, reflecting on how stories evolve over time, through different media, and through retellings for and with different audiences.
Data Mining Pipeline
University of Colorado Boulder (via Coursera)
This course introduces the key steps involved in the data mining pipeline, including data understanding, data preprocessing, data warehousing, data modeling, interpretation and evaluation, and real-world applications. This course can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder Course logo image courtesy of Francesco Ungaro, available here on Unsplash: https://unsplash.com/photos/C89G61oKDDA
Implementación de Actividades PhET para la Educación STEM
University of Colorado Boulder (via Coursera)
PhET Interactive Simulations (https://phet.colorado.edu/es), un proyecto de la Universidad de Colorado Boulder, ofrece simulaciones científicas y matemáticas divertidas, gratuitas, interactivas y basadas en la investigación para su uso en la educación primaria, secundaria y superior. Probamos y evaluamos exhaustivamente cada simulación para garantizar la eficacia educativa. Todas las simulaciones son de código abierto y gratuitas para todos los estudiantes y profesores. En este curso, aprenderá cómo diseñar de manera efectiva una secuencia de aprendizaje que utilice las simulaciones de PhET para matemáticas y ciencias y cómo llevarla al aula. Para finalizar este curso, debe completar dos tareas con revisión entre pares: 1) diseñar Guía Docente basado en la indagación que integre simulaciones PhET, y 2) implementar tu Guía en tu clase y reflexionar sobre los resultados con las Herramientas PhET de Reflexión. Este curso es el cuarto y último de los cuatro cursos que integran la especialización “Aprendizaje Activo en STEM con Simulaciones Interactivas PhET”. Este curso también está disponible en inglés como “Implementation of PhET Activities for STEM Education” y en Portugués como "Implementação de Atividades PhET para Educação STEM".
Fractions for Primary Education with PhET Simulations
University of Colorado Boulder (via Coursera)
PhET Interactive Simulations (https://phet.colorado.edu/), a project of the University of Colorado Boulder, provides fun, free, interactive, research-based science and mathematics simulations for primary, secondary, and higher education levels. We extensively test and evaluate each simulation to ensure educational effectiveness. All simulations and associated resources are open source and therefore free for all users. In this course, you will acquire teaching and facilitation strategies for how to use PhET simulations in a grade 3-5 classroom (ages 7-11) and engage with lessons supporting students’ learning about fractions. Specifically, you will (a) develop familiarity with fractions through PhET simulations including Fractions: Intro, Fraction Matcher, Build a Fraction, Fractions: Mixed Numbers and Fractions: Equality, and (b) reflect on strategies for teaching fractions, including small groups, demos, storytelling, and predictions, while maximizing student talk. To finish this course, you need to complete discussions, auto-graded quizzes, and one major assignment with peer review. The peer review assignment consists of creating a lesson (using a template) on fractions using one of the PhET simulations introduced in this course, and reviewing others’ lessons (using a provided rubric).
Leading the Circular and Sustainable Business
University of Colorado Boulder (via Coursera)
Leading the Circular and Sustainable Business is the third and final course in the specialization, Applied Sustainability for Technical Managers. This course focuses on the business case for sustainability. It begins by defining a sustainable business, one that is inclusive of all stakeholders and how new organizational structures support the sustainable enterprise, enabling the business to go beyond corporate social responsibility (CSR) initiatives. The course highlights sustainable operations and supply chains, recognizing sustainable products need to be manufactured using environmentally and socially responsible practices. Companies are increasingly marketing products as "green", and the course discusses truthful advertising, greenwashing, and the value of 3rd-party certifications. Sustainable finance is introduced through the lens of the Triple Bottom Line (TBL), using the Environmental P&L to illustrate a company’s environmental costs. ESG (Environmental, Social and Governance) is increasingly important today, and companies are communicating their progress through Sustainability reports. The course explores how to read a sustainability report, as well as methodologies to generate them, including GRI and CSRD. The course closes with a discussion of Sustainability Leadership, from starting your own business to effectively communicating with upper management. This course is about empowerment, providing you with the knowledge and tools to be more sustainable in your daily life, in the community where you live, and in the company where you work. This course was developed in collaboration with Siemens Digital Industries Software and is part of the "Design for the Circular Economy" collection. Learners who complete and pass the course can receive an industry-recognized digital badge. The “Design for the Circular Economy” microcredential and graduate certificate are developed around the educational goals of providing technical, business, and leadership knowledge...
A Turma Toda com Simulações PhET para Educação STEM
University of Colorado Boulder (via Coursera)
O projeto Simulações Interativas PhET (https://phet.colorado.edu/pt_BR), da Universidade do Colorado em Boulder, oferece simulações de ciências e matemática divertidas, gratuitas e interativas baseadas em pesquisa para uso no ensino fundamental, médio e superior. Cada simulação foi extensivamente testada e avaliada para garantir que seja adequada para fins educacionais. Além disso, todas as simulações são de código aberto e gratuitas, tanto para alunos como para professores. Neste curso, você aprenderá estratégias sobre como usar o PhET em circunstâncias em que apresenta uma simulação para toda a turma por meio de projetor, lousa interativa ou enquanto compartilha sua tela online. Este curso é o segundo da programa de cursos integrados “Aprendizagem Ativa em STEM com Simulações Interativas PhET”, que inclui 4 cursos no total. Para concluir este curso, você precisa completar duas das três tarefas possíveis com Revisão por Pares: 1) Perguntas para Toda a Turma, 2) Aulas Interativas com Demonstrações, 3) Questões Conceituais. Este curso também está disponível em espanhol como “Clase Entera con PhET para la Educación STEM” e em inglês como "Whole Class with PhET for STEM Education".
BiteSize Python: Data Visualization
University of Colorado Boulder (via Coursera)
This course focuses on data visualization, an essential skill for effectively communicating insights derived from data. It introduces three widely used Python packages: Matplotlib, Seaborn, and Plotly, each known for its unique capabilities in data visualization. The course covers the basics of these libraries and demonstrates how to create a variety of visualizations, from simple plots to complex interactive graphics. Through hands-on practice and case studies, students will learn how to choose the right visualization for their data, customize their plots, and create compelling visuals that convey meaningful insights. Optional case studies will allow students to deepen their understanding by applying these tools in real-world scenarios.
Healthy Aging and the Future of Cannabis Research
University of Colorado Boulder (via Coursera)
This Healthy Aging and Future of Cannabis Research course is designed to have you think critically about the health effects of cannabis (i.e., marijuana) in the context of inflammation, exercise, and aging. You'll learn how inflammation and the microbiome may be related to the disorders discussed in class, and how cannabis may influence these disorders through modulating inflammation. We'll describe the relationship between the endocannabinoid system and exercise, and how cannabinoids may affect exercise performance and recovery. You'll learn how to identify key features of aging and how cannabinoids may influence the aging process. Obtaining this knowledge will be helpful in terms of informing public policy, public health, and personal decisions regarding the use of cannabis products.
Search and Display Advertising
University of Colorado Boulder (via Coursera)
Consumers search for virtually everything. This includes the things that small businesses do, from restaurants to bespoke products. When consumers search they get organic results along with paid results. Paid search ads are systematically designed to be relevant. As a result, they’re often useful at getting consumers where they want to go. Consumers don’t tune out paid search like other types of digital ads. Search ads can be a small business opportunity. While larger advertisers pay massive amounts to place their ads via search, we highlight smart ways small businesses can create their own tailored search campaigns on small budgets. This course shows small businesses how to create and execute search campaigns on Google Ads Search (formally AdWords). Through an introductory overview, students are guided through the official Google Ads Search training materials where they will ultimately earn an official Google Ads Search Certification. Beyond Google materials, practical campaign creation and optimization best practices and exercises are provided by real experts.
Data Analysis with Python Project
University of Colorado Boulder (via Coursera)
The "Data Analysis Project" course empowers students to apply their knowledge and skills gained in this specialization to conduct a real-life data analysis project of their interest. Participants will explore various directions in data analysis, including supervised and unsupervised learning, regression, clustering, dimension reduction, association rules, and outlier detection. Throughout the modules, students will learn essential data analysis techniques and methodologies and embark on a journey from raw data to knowledge and intelligence. By completing the course, students will be proficient in data analysis, capable of applying their expertise in diverse projects and making data-driven decisions. By the end of this course, students will be able to: 1. Understand the fundamental concepts and methodologies of data analysis in diverse directions, including supervised and unsupervised learning, regression, clustering, dimension reduction, association rules, and outlier detection. 2. Define the scope and direction of a data analysis project, identifying appropriate techniques and methodologies for achieving project objectives. 3. Apply various classification algorithms, such as Nearest Neighbors, Decision Trees, SVM, Naive Bayes, and Logistic Regression, for predictive modeling tasks. 4. Implement cross-validation and ensemble techniques to enhance the performance and generalizability of classification models. 5. Apply regression algorithms, including Simple Linear, Polynomial Linear, and Linear with regularization, to model and predict numerical outcomes. 6. Perform multivariate regression and apply cross-validation and ensemble methods in regression analysis. 7. Explore clustering techniques, including partitioning, hierarchical, density-based, and grid-based methods, to discover underlying patterns and structures in data. 8. Apply Principal Component Analysis (PCA) for dimension reduction to simplify high-dimensional data and aid in data visualization. 9. Utilize...
A Technical Leader's Qualities and Effectiveness
University of Colorado Boulder (via Coursera)
This course describes the traits of Great Leaders who combine fierce resolve with personal humility. Indeed, they might be described more as “plow horses” as opposed to “show horses”. They see themselves as servants to the team and to the organization. They “hold the line” when faced with tough decisions and “do what must be done” when the time comes. Their leadership is based on solid ethical principles and they act with quiet, calm determination. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
Compassionate Leadership Through Service Learning with Jane Goodall and Roots & Shoots
University of Colorado Boulder (via Coursera)
Join us for an action-oriented online teacher professional development course! This course will teach participants how to identify and implement a local service-learning campaign using the Roots & Shoots program model. The service learning curriculum equips participants with teacher resources to discover the differences between service-learning and community service, and apply the Roots & Shoots model to help youth have a voice in identifying and addressing needs in their community. At Roots & Shoots, our goal is to develop compassionate leaders to make the world a better place for people, other animals and the environment. Help us achieve that goal! Complete the course and mentor young people to lead change in their communities using community mapping, collaborating with stakeholders, and designing practical solutions in the form of campaigns. Connect young people to Dr. Jane Goodall’s message of hope while facilitating a sense of empowerment that comes from helping others!
UX and Interface Design for Embedded Systems
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5346, part of CU Boulder’s Master of Science in Electrical Engineering degree. UX and Interface Design for Embedded Systems is the first of three classes in the Embedded Interface Design (EID) specialization, an online version of the on-campus EID class taught in graduate embedded systems design. This first course is focused on user experience (UX) and the related methods, practices, and principles that will help ensure your embedded interface designs for devices and systems are what your users both need and want. The class includes an introduction to UX, and then a four phase breakdown of a typical UX design process, including planning, user research, design methods, and testing for verification and validation. Much of the content provides generally applicable UX techniques, but particular focus is included for considerations in developing embedded devices. The class includes practical projects that let you try some of the key methods in a thorough interface design process.
Spacecraft Formation Flying and Control Capstone Project
University of Colorado Boulder (via Coursera)
This is the 3rd and final course of the spacecraft relative motion course sequence. This course presents a capstone design challenge where you get to develop, simulate and study how to approach a tumbling debris object. The servicer starts from far away and carefully does a series of maneuver to get closer and closer in a safe manner. As the debris object is tumbling, the servicer will have to account for relative attitude motion as well. The final approach is in a debris body-fixed manner illustrating a case of controlling non-Keplerian motion. After this course, you will be able to... Design safe approach trajectories Implement relative motion feedback control solutions Model the relative motion and relative attitude in the LVLH frame Implement non-Keplerian reference motion Please note: this is an advanced course, best suited for working engineers or students with college-level knowledge in mathematics and physics. The material covered is taking from the book "Analytical Mechanics of Space Systems" available at https://arc.aiaa.org/doi/book/10.2514/4.105210.
Network Principles in Practice: Linux Networking
University of Colorado Boulder (via Coursera)
Welcome! In this course, titled "Network Principles in Practice: Linux Networking," we delve into the dynamic domain of Linux Networking, featuring a robust set of features essential for contemporary networked systems. Departing from traditional approaches, our emphasis is on practical application over foundational knowledge. Throughout the course, you'll explore the integration of concepts into Linux, gaining hands-on experience in architecting and implementing complex networks and systems. From understanding the Linux kernel's role to building gateways and navigating virtual networking and container orchestration with Kubernetes, each week offers valuable insights and practical skills. Join us on this journey where understanding meets real-world application, providing a comprehensive exploration of network systems. This course can be taken for academic credit as part of CU Boulder’s Masters of Science in Computer Science (MS-CS) degrees offered on the Coursera platform. This fully accredited graduate degree offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder Course logo by Jordan Harrison on Unsplash.
Baseball into the Millennium
University of Colorado Boulder (via Coursera)
In this course, we will explore the more recent history of baseball in America, through similar lenses as ones we have already used. Money & labor, culture, shutdowns, and patriotism & nationalism are our main themes for this fourth and final course. We will also look at how contemporary trends such as COVID-19 tie back to a distant history.
Renewable Energy Projects
University of Colorado Boulder (via Coursera)
Understanding renewable energy technologies is important, but equally important is knowing how to effectively deploy these technologies to provide renewable energy to end-users – the topic of this course. Upon completion of the course, you will understand the development and management of renewable energy projects, large and small, from conception to launch and subsequent operation. This course will teach you to plan, execute, and operate renewable energy projects such as solar PV plants, wind farms, and geothermal generators. We first describe how to develop a renewable energy feasibility study and make go-no-go project decisions. We then examine project site selection and evaluation of renewable technology alternatives and technology vendors. Next, we review methods for financing and organizing renewable energy projects. The course concludes with an examinations of project construction, operations and maintenance, repowering, and plant decommissioning. These capabilities will round out your understanding of renewable energy uses and deployment – come join us! Note that this course is the third in a four-course Coursera specialization in Renewable Energy: 1. Renewable Energy Technology Fundamentals 2. Renewable Power Systems 3. Renewable Energy Projects 4. Renewable Energy Futures
Python Packages for Data Science
University of Colorado Boulder (via Coursera)
How many times have you decided to learn a programming language but got stuck somewhere along the way, grew frustrated, and gave up? This specialization is designed for learners who have little or no programming experience but want to use Python as a tool to play with data. Now that you have mastered the fundamentals of Python and Python functions, you will turn your attention to Python packages specifically used for Data Science, such as Pandas, Numpy, Matplotlib, and Seaborn. Are you ready? Let's go! Logo image courtesy of Mourizal Zativa. Available on Unsplash here: https://unsplash.com/photos/gNMVpAPe3PE
Magnetics for Power Electronic Converters
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5703, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course covers the analysis and design of magnetic components, including inductors and transformers, used in power electronic converters. The course starts with an introduction to physical principles behind inductors and transformers, including the concepts of inductance, core material saturation, airgap and energy storage in inductors, reluctance and magnetic circuit modeling, transformer equivalent circuits, magnetizing and leakage inductance. Multi-winding transformer models are also developed, including inductance matrix representation, for series and parallel structures. Modeling of losses in magnetic components covers core and winding losses, including skin and proximity effects. Finally, a complete procedure is developed for design optimization of inductors in switched-mode power converters. After completing this course, you will: Understand the fundamentals of magnetic components, including inductors and transformers Be able to analyze and model losses in magnetic components, and understand design trade-offs Know how to design and optimize inductors and transformers for switched-mode power converters This course assumes prior completion of courses 1 and 2: Introduction to Power Electronics, and Converter Circuits.
Excel/VBA for Creative Problem Solving, Part 1
University of Colorado Boulder (via Coursera)
"Excel/VBA for Creative Problem Solving, Part 1" is aimed at learners who are seeking to augment, expand, optimize, and increase the efficiency of their Excel spreadsheet skills by tapping into the powerful programming, automation, and customization capabilities available with Visual Basic for Applications (VBA). This course is the first part of a three-part series and Specialization that focuses on the application of computing techniques in Excel/VBA to solve problems. In this course (Part 1), you will: 1) create macros to automate procedures in Excel; 2) define your own user-defined functions; 3) create basic subroutines to interface with the user; 4) learn the basic programming structures in VBA; and 5) automate Excel’s Goal Seek and Solver tools and use numerical techniques to create “live solutions” to solve targeting and optimization problems. New to computer programming? The extremely intuitive and visual nature of VBA lends itself nicely to teaching and learning - what a fun way to learn to code! No prior knowledge in programming nor advanced math skills are necessary yet seasoned programmers will pick up new and creative spreadsheet problem solving strategies. After you have learned the basics of VBA, each module will introduce foundational and broad problems inspired by situations that you might encounter in the real world. To pass each module, you'll need to pass a mastery quiz and complete a problem solving assignment. This course is unique in that the weekly assignments are completed in-application (i.e., on your own computer in Excel), providing you with valuable hands-on training.
Speaking to a Technical Group
University of Colorado Boulder (via Coursera)
Great speakers focus on voice, nonverbals, eye contact, body language, and storytelling to captivate their audiences. Moreover, as a leader, it is possible to communicate in such a manner and in such a tone of voice so as to inspire in others nothing but an intense desire to excel, making this form, potentially, the most powerful leadership-communication skill of all. This course focuses on the fundamentals of excellent oral communication. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
Packaging Design for the Circular Economy
University of Colorado Boulder (via Coursera)
The Circular Economy is about zero waste, where products are disassembled into their constituent components, either to be recycled or composted. While considerable attention has focused on the product itself, a product can only be sustainable or circular if the packaging it comes in is also sustainable and circular. This second course in the “Sustainable and Circular Product Development” specialization provides an overview of packaging today, and how it is evolving to become more sustainable. Topics include defining sustainable and circular packaging, packaging as a system, design and functionality, conventional and innovative packaging materials, advances in recycling technologies, and rethinking our approach to packaging. This course was developed in collaboration with Siemens Digital Industries Software and is part of the "Design for the Circular Economy" collection. Learners who complete and pass the course can receive an industry-recognized digital badge. The “Design for the Circular Economy” microcredential and graduate certificate are developed around the educational goals of providing technical, business, and leadership knowledge and skills that inspire the transformation towards a more circular economy. This includes gaining technical knowledge to apply circular economy principles in product design, minimizing waste and maximizing impact; developing business acumen to implement innovative circular economic models that prioritize sustainability and resilience; and acquiring leadership strategies to communicate effectively and inspire change within an organization. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the...
Classification Analysis
University of Colorado Boulder (via Coursera)
The "Classification Analysis" course provides you with a comprehensive understanding of one of the fundamental supervised learning methods, classification. You will explore various classifiers, including KNN, decision tree, support vector machine, naive bayes, and logistic regression, and learn how to evaluate their performance. Through tutorials and engaging case studies, you will gain hands-on experience and practice in applying classification techniques to real-world data analysis tasks. By the end of this course, you will be able to: 1. Understand the concept and significance of classification as a supervised learning method. 2. Identify and describe different classifiers, such as KNN, decision tree, support vector machine, naive bayes, and logistic regression. 3. Apply each classifier to perform binary and multiclass classification tasks on diverse datasets. 4. Evaluate the performance of classifiers using appropriate metrics, including accuracy, precision, recall, F1 score, and ROC curves. 5. Select and fine-tune classifiers based on dataset characteristics and learning requirements. Gain practical experience in solving classification problems through guided tutorials and case studies.
Approximation Methods
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5612, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course teaches commonly used approximation methods in quantum mechanics. They include time-independent perturbation theory, time-dependent perturbation theory, tight binding method, variational method and the use of finite basis set. In each case, a specific example is given to clearly show how the method works. At the end of this course learners will be able to: 1. use time-dependent perturbation theory to obtain first- and second -order corrections to energies and wavefunctions, 2. use time-dependent perturbation theory and obtain transition rates, and 3. use tight binding method, variational method and finite basis set to obtain approximate solutions of various quantum mechanics problems.
Print and Digital Elements of Design: Branding and User Experience
University of Colorado Boulder (via Coursera)
Graphic design projects can be delivered in either a printed format or a digital format, or both. This course will look at how to work with creative professionals to get the ideal usage out of a design to use in print medium such as logos, brochures and larger printed projects that will also carry over as seamlessly as possible into the digital realm of websites and social media. We will also cover the user experience and how to keep the end result in mind when working on creative endeavors.
BiteSize Python: Object Oriented Programming
University of Colorado Boulder (via Coursera)
This course introduces the fundamentals of Object-Oriented Programming (OOP) in Python, a paradigm widely adopted for structuring complex software. It begins with an explanation of what OOP is and why it is popular, followed by the core principles of OOP: inheritance, polymorphism, encapsulation, and abstraction. Students will also learn how to document classes and methods professionally. The course concludes with practical case studies, allowing learners to apply these concepts in real-world scenarios.
Bring Your Story to Life – Video Post-Production
University of Colorado Boulder (via Coursera)
In this course, we will explore the power and artistry of picture and sound editing. Although you’re welcome to use the editing software of your choice, we’ll be demonstrating non-linear editing using Adobe Premiere. We’ll share with you our editing workflow for completing a visual story, from scripting and writing conversationally to the visuals, to recording voice overs, to building the rough cut, and polishing with the final cut.
Baseball and Americanism
University of Colorado Boulder (via Coursera)
This course will explore baseball and Americanism. What does it mean that baseball is the national pastime? What does national pastime even mean? What about national? When you think of the United States, what do you think of? Is baseball a part of that? These are some of the aspects we are going to delve into throughout this course. We are going to spend some time discussing how baseball reflected American culture at the time. In some instances, we will discuss how baseball reflected what people wanted American culture to look like, or appear to be.
Resilience & Leadership: Tools, Methods, & Applications
University of Colorado Boulder (via Coursera)
Resilience & Leadership: Tools, Methods, & Applications is the second course of the ‘Resilience Engineering and Leadership in Crisis’ specialization. This course offers tools and methods for applying the concepts from the Course 1 (Resilience & Leadership: Concepts, Definitions, & Frameworks) to various applications and disaster scenarios. Systems thinking, crisis management lifecycle, and organizational strategy are presented to help cultivate and strengthen crisis leadership and communication skills. Learners will assess the resilience of a complex system and create a crisis management plan. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
BiteSize Python: NumPy and Pandas
University of Colorado Boulder (via Coursera)
This course delves into advanced data structures in Python, focusing on the powerful capabilities of the NumPy and Pandas libraries. It introduces the ndarray, a multidimensional array object provided by NumPy, enabling efficient storage and manipulation of large datasets. Additionally, learners will explore the Series and DataFrame structures offered by Pandas, which facilitate data analysis and manipulation in a more user-friendly manner. Throughout the course, students will engage in practical exercises and case studies to reinforce their understanding of how these advanced data structures can be applied in real-world scenarios.
Sensor Manufacturing and Process Control
University of Colorado Boulder (via Coursera)
"Sensor Manufacturing and Process Control" can also be taken for academic credit as ECEA 5343, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is our fourth course in our specialization on Embedding Sensor and Motors. To get the most out of this course, you should first take our first course entitled "Sensors and Sensor Circuits", our second course entitled "Motor and Motor Control Circuits", and our third course entitled "Pressure, Force, Motion, and Humidity Sensors". Our first course gives you a tutorial on how to use the hardware and software development kit we have chosen for the lab exercises. Our second and third courses give you three hands-on lab experiments using the kit. This third course assumes that you already know how to use the kit. You will learn about sensor signal characterization and manufacturing techniques and how to optimize the accuracy of sensors. You will also learn about more advanced sensors, proportional-integral-derivative (PID) control, and how this method is used to give you a closed loop sensor feedback system. After taking this course, you will be able to: ● Understand how sensor manufacturers characterize and calibrate their sensors. ● Tune a PID control loop and access the PID control function of the Cypress PSoC development kit for a motor control application. ● Understand manufacturing methods used to build electro-mechanical and micro-machined sensors. This course includes specific hardware and software requirements. Please review the FAQ below for complete details.
Fundamentals of Software Architecture for Big Data
University of Colorado Boulder (via Coursera)
The course is intended for individuals looking to understand the basics of software engineering as they relate to building large software systems that leverage big data. You will be introduced to software engineering concepts necessary to build and scale large, data intensive, distributed systems. Starting with software engineering best practices and loosely coupled, highly cohesive data microservices, the course takes you through the evolution of a distributed system over time. This course can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
Real-Time Embedded Systems Theory and Analysis
University of Colorado Boulder (via Coursera)
This course can also be taken for academic credit as ECEA 5316, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course provides an in-depth and full mathematical derivation and review of models for scheduling policies and feasibility determination by hand and with rate monotonic tools along with comparison to actual performance for real-time scheduled threads running on a native Linux system. By the end of this course the learner will be able to full derive the fixed priority rate monotonic least upper bound for feasibility as well as justifying the rate monotonic policy and will be able to compare to dynamic priority scheduling including earliest deadline first and least laxity policies. At the end of this course learners will be able to fully derive and explain the math model for the rate monotonic least upper bound as well as performing timing diagram analysis for fixed and dynamic priority software services. Tools to provide analysis will be learned (Cheddar) to automate timing analysis and to compare to actual performance. Specific objectives include: ● Rate monotonic theory (complete math models) ● Differences between fixed priority rate monotonic policy and dynamic priority earliest deadline first and least laxity policies ● Scheduling theory and practice writing code for multi-frequency executives, priority preemptive RTOS services, and real-time threaded services on traditional operating systems (Linux) ● Building a simple Linux multi-service system using POSIX real-time extensions on Raspberry Pi 3b using sequencing and methods to log and verify agreement between theory and practice ● Timing diagram generation and analysis using Cheddar This course includes specific hardware and software requirements. Please review the FAQ below for complete details.
Financial Forecasting and Reporting
University of Colorado Boulder (via Coursera)
This course discusses how public projects are evaluated using cost-benefit analysis. Learners discover how interest rates and prices for stocks and bonds are determined. Techniques are presented on how to create departmental budgets for engineering cost centers and pro forma statements for profit centers. Learners then work with corporate financial statements to assess a company’s financial health, including recent measures of environmental, social, and corporate governance (ESG). This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
산업용 IoT 시장 및 보안
University of Colorado Boulder (via Coursera)
이 과정은 CU Boulder의 전기 공학 석사 과정의 일부인 ECEA 5385로 학점을 이수할 수도 있습니다. 미래의 산업 인프라를 개발하는 것은 중요한 과제입니다. 이 과정은 임베디드 시스템 애플리케이션의 잠재성 및 성장을 위해 더욱 광범위한 공간을 강조하기 위해 소비자 IoT를 실제적으로 보여줍니다. 산업용 사물 인터넷(IIoT)은 Industry 4.0이라고도 합니다. Cisco의 CEO는 다음과 같이 말했습니다. “IoT는 전체 19조 달러의 시장입니다. IIoT는 디지털 유전, 첨단 제조, 전력망 자동화 및 스마트 시티를 포함하는 중요한 하위 집합입니다.” 이것은 전문화의 1부입니다. 이 전문화의 주요 목표는 엔지니어링 학생 또는 엔지니어에게 필요한 신흥 시장, 기술 동향, 적용 분야 및 기술을 면밀히 조사하고 IIoT 분야에서 일할 기회를 탐색하는 것입니다. 과정의 구조는 의도적으로 넓지만 얕게 설계되었습니다. 많은 주제를 다룰 것이지만 한 주제 영역에 대해 극도로 깊이 다루지는 않을 것입니다. 한 가지 예외가 있습니다. 보안은 모든 "사물 인터넷" 제품 개발에서 가장 중요한 주제이므로 보안에 대해 좀 더 깊이 살펴볼 것입니다. 이 과정에서 학생들은 다음을 배웁니다. Industry 4.0의 정의 및 IIoT를 가능하게 한 요인 IIoT 분야에서 취업하기 위해 개발해야 할 핵심 기술 사용되는 플랫폼 및 소프트웨어 및 서비스에 대한 시장 정보 주요 적용 분야(예: 제조 및 석유 및 가스) IIoT 배포에 사용되는 주요 운영 체제 네트워킹 정보 및 IIoT 배포에 사용되는 무선 통신 프로토콜 * 컴퓨터 보안 정보: 데이터 무결성 및 인증을 보장하기 위한 암호화 기술 및 보안 방법
Probability Foundations for Data Science and AI
University of Colorado Boulder (via Coursera)
Understand the foundations of probability and its relationship to statistics and data science. We’ll learn what it means to calculate a probability, independent and dependent outcomes, and conditional events. We’ll study discrete and continuous random variables and see how this fits with data collection. We’ll end the course with Gaussian (normal) random variables and the Central Limit Theorem and understand its fundamental importance for all of statistics and data science. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) and the Master of Science in Artificial Intelligence (MS-AI) degrees offered on the Coursera platform. These interdisciplinary degrees bring together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the CU degrees on Coursera are ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder. Learn more about the MS-AI program at https://www.coursera.org/degrees/ms-artificial-intelligence-boulder Logo adapted from photo by Christopher Burns on Unsplash.
Methods for Solving Problems
University of Colorado Boulder (via Coursera)
In this course, we will explore different types of problems, the boundaries of what makes a problem solvable, and the different algorithms, rules, and heuristics we can implement to solve these problems.
Electrification of Building Energy Systems
University of Colorado Boulder (via Coursera)
For the past half century, there has been an emphasis on reducing energy consumption in buildings through improvements in equipment and overall building performance, regardless of energy source. While climate sensitive and energy efficient building design remain the first steps, the emphasis has recently shifted to prioritize the elimination of fossil fuels in buildings by favoring renewably-generated electrical sources to address mounting concerns about climate change. In this course, you will explore of emerging trends in building energy system design to address electrification and decarbonization. You will focus on electrically driven vapor compression and heat pump technologies to address heating and cooling needs in building and explore opportunities to integrate buildings into electric grid operations.
Thinking About Care
University of Colorado Boulder (via Coursera)
Although all humans require care to develop and thrive, it is rarely the focus of academic studies. This course enriches learner’s understanding of this critical yet underappreciated facet of their lives by addressing such questions as: What is care? Who has traditionally provided it? How valued is care work? Does money take the care out of care work? In addition to advancing learner’s knowledge of the place of care in modern society and controversies surrounding it, Thinking About Care will give learners the opportunity to learn a strategy that surveys existing approaches to care.
의사 결정을 위한 비즈니스 분석
University of Colorado Boulder (via Coursera)
이 과정에서는 의사 결정을 위한 모델을 만드는 방법을 알아봅니다. 시장 세분화에 매우 유용한 데이터 축소 기법인 클러스터 분석부터 시작하겠습니다. 그런 다음 많은 비즈니스 결정에 만연한 불확실성을 모델링하는 데 유용한 몬테카를로 시뮬레이션의 기본 사항을 배우게 됩니다. 의사 결정의 핵심 요소는 최선의 조치를 식별하는 것입니다. 비즈니스 문제에는 대안적 해결책이 너무 많은 경우가 있으므로 최적화가 최상의 옵션을 식별하는 데 어떻게 도움이 되는지 배우게 됩니다. 이 과정에서 정말 흥미로운 점은 이러한 예측 및 규범적 분석 모델에 대해 배우기 위해 컴퓨터 언어나 고급 통계를 알아야 할 필요가 없다는 것입니다. Analytic Solver Platform과 Excel에 대한 기본 지식만 있으면 됩니다. 과제에 참여하는 학습자는 Analytic Solver Platform에 무료로 액세스할 수 있습니다.
Regression and Classification
University of Colorado Boulder (via Coursera)
Introduction to Statistical Learning will explore concepts in statistical modeling, such as when to use certain models, how to tune those models, and if other options will provide certain trade-offs. We will cover Regression, Classification, Trees, Resampling, Unsupervised techniques, and much more! This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.