Rice University
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Showing 174 courses from Rice
An Introduction to Interactive Programming in Python - Rice
Rice University (via Coursera)
An Introduction to Interactive Programming in Python - Rice is a comprehensive beginner-level resource offered by Rice University, focused on building practical skills in artificial intelligence and machine learning. Whether you're a complete beginner looking to start a new career or a professional aiming to upgrade your skills, this resource provides a thorough learning experience. This is a structured online course with a carefully designed curriculum. Each module builds on the previous one, creating a logical progression from fundamentals to advanced topics. The course typically includes video lectures, reading materials, hands-on exercises, quizzes, and sometimes peer-reviewed assignments. This structured approach ensures you don't miss any critical concepts and build a solid foundation. This resource covers topics essential for success in artificial intelligence and machine learning, including machine learning algorithms, deep learning, NLP, computer vision, and model deployment. The curriculum is structured to build your knowledge progressively — starting with foundational concepts and advancing to real-world applications. By the end, you should be able to: Master Python syntax, data types, and control flow Work with lists, dictionaries, sets, and tuples effectively Build modular code using functions, classes, and modules Handle files, exceptions, and external libraries with pip Duration: Estimated duration: 15 hours of content, designed to be completed in 2-3 weeks at a comfortable pace. No prior experience is required. This course starts from the absolute basics and gradually builds up complexity. A computer with internet access is all you need to get started. This resource is designed for a wide audience: Students (B.Tech, BCA, MCA, BSc) looking to complement their academic learning with practical, industry-relevant skills Fresh graduates preparing for campus placements or off-campus interviews Working professionals looking to upskill, switch domains, or advance their careers Career changers transitioning from non-tech backgrounds into artificial intelligence and machine learning Freelancers wanting to add new services to their portfolio Self-learners passionate about artificial intelligence and machine learning and wanting structured guidance Pricing: This resource is completely free with no hidden charges. Completing this resource and building related skills can prepare you for roles such as ML Engineer, AI Engineer, Data Scientist, Research Scientist. Realistic salary bands in India (2025-2026), based on Naukri/AmbitionBox data: Freshers / 0-2 years: Rs 8-15 LPA Mid-level / 2-5 years: Rs 18-35 LPA Senior / 5+ years: Rs 40-80 LPA Actual offers vary heavily by city, company tier, and how strong your portfolio or interview performance is. Companies actively hiring in this space include Google, Microsoft, OpenAI, Indian AI startups, research labs. India is the second-largest AI talent pool globally, and the demand far exceeds supply. The Indian AI market is expected to reach $17 billion by 2027. Every major Indian tech company — from Infosys to Reliance to Jio — is investing heavily in AI capabilities. The emergence of generative AI has created entirely new job categories that didn't exist two years ago. ML engineers with LLM experience are commanding Rs 30-60 LPA even at early career stages. Rice University is a well-established platform trusted by millions of learners worldwide. This particular resource has been selected by our editorial team based on: Content quality — comprehensive coverage with clear explanations Practical focus — emphasis on hands-on skills over pure theory Student outcomes — positive reviews and career success stories Indian relevance — content applicable to the Indian job market and interview patterns Updated curriculum — material reflects current industry practices and tools We regularly review and update our recommendations to ensure they remain relevant and high-quality.
Algorithmic Thinking Part 1 - Rice University
Rice University (via Coursera)
Algorithmic Thinking Part 1 - Rice University is a comprehensive intermediate-level resource offered by Rice University, focused on building practical skills in data science and analytics. Whether you're a complete beginner looking to start a new career or a professional aiming to upgrade your skills, this resource provides a thorough learning experience. This is a structured online course with a carefully designed curriculum. Each module builds on the previous one, creating a logical progression from fundamentals to advanced topics. The course typically includes video lectures, reading materials, hands-on exercises, quizzes, and sometimes peer-reviewed assignments. This structured approach ensures you don't miss any critical concepts and build a solid foundation. This resource covers topics essential for success in data science and analytics, including Python, SQL, Pandas, NumPy, data visualization, statistics, and machine learning basics. The curriculum is structured to build your knowledge progressively — starting with foundational concepts and advancing to real-world applications. By the end, you should be able to: Master Go syntax, goroutines, and channels Build concurrent programs with Go's lightweight threading model Create REST APIs and CLI tools in Go Deploy Go binaries to production servers Duration: Estimated duration: 18 hours of content, designed to be completed in 2-4 weeks at a comfortable pace. Basic familiarity with the subject area is recommended. You should have completed a beginner-level course or have equivalent self-taught knowledge. Comfort with using a computer and basic problem-solving skills will help. This resource is designed for a wide audience: Students (B.Tech, BCA, MCA, BSc) looking to complement their academic learning with practical, industry-relevant skills Fresh graduates preparing for campus placements or off-campus interviews Working professionals looking to upskill, switch domains, or advance their careers Career changers transitioning from non-tech backgrounds into data science and analytics Freelancers wanting to add new services to their portfolio Self-learners passionate about data science and analytics and wanting structured guidance Pricing: This resource is completely free with no hidden charges. Completing this resource and building related skills can prepare you for roles such as Data Analyst, Business Analyst, Data Scientist, Analytics Engineer. Realistic salary bands in India (2025-2026), based on Naukri/AmbitionBox data: Freshers / 0-2 years: Rs 4-8 LPA Mid-level / 2-5 years: Rs 10-22 LPA Senior / 5+ years: Rs 25-50 LPA Actual offers vary heavily by city, company tier, and how strong your portfolio or interview performance is. Companies actively hiring in this space include TCS, Infosys, Flipkart, Amazon, Swiggy, Zomato, PhonePe. The data science industry in India is projected to grow at 27% CAGR through 2028. Companies across all sectors — from banking (HDFC, ICICI) to e-commerce (Flipkart, Amazon) to healthcare (Practo, PharmEasy) — are building data teams. India currently has a shortage of 200,000+ data professionals, making this one of the best fields to enter right now. Cities like Bangalore, Hyderabad, Pune, and Gurgaon have the highest concentration of data science jobs. Rice University is a well-established platform trusted by millions of learners worldwide. This particular resource has been selected by our editorial team based on: Content quality — comprehensive coverage with clear explanations Practical focus — emphasis on hands-on skills over pure theory Student outcomes — positive reviews and career success stories Indian relevance — content applicable to the Indian job market and interview patterns Updated curriculum — material reflects current industry practices and tools We regularly review and update our recommendations to ensure they remain relevant and high-quality.
Python Data Analysis - Rice University
Rice University (via Coursera)
Python Data Analysis - Rice University is a comprehensive beginner-level resource offered by Rice University, focused on building practical skills in data science and analytics. Whether you're a complete beginner looking to start a new career or a professional aiming to upgrade your skills, this resource provides a thorough learning experience. This is a structured online course with a carefully designed curriculum. Each module builds on the previous one, creating a logical progression from fundamentals to advanced topics. The course typically includes video lectures, reading materials, hands-on exercises, quizzes, and sometimes peer-reviewed assignments. This structured approach ensures you don't miss any critical concepts and build a solid foundation. This resource covers topics essential for success in data science and analytics, including Python, SQL, Pandas, NumPy, data visualization, statistics, and machine learning basics. The curriculum is structured to build your knowledge progressively — starting with foundational concepts and advancing to real-world applications. By the end, you should be able to: Master Python syntax, data types, and control flow Work with lists, dictionaries, sets, and tuples effectively Build modular code using functions, classes, and modules Handle files, exceptions, and external libraries with pip Duration: Estimated duration: 15 hours of content, designed to be completed in 2-3 weeks at a comfortable pace. No prior experience is required. This course starts from the absolute basics and gradually builds up complexity. A computer with internet access is all you need to get started. This resource is designed for a wide audience: Students (B.Tech, BCA, MCA, BSc) looking to complement their academic learning with practical, industry-relevant skills Fresh graduates preparing for campus placements or off-campus interviews Working professionals looking to upskill, switch domains, or advance their careers Career changers transitioning from non-tech backgrounds into data science and analytics Freelancers wanting to add new services to their portfolio Self-learners passionate about data science and analytics and wanting structured guidance Pricing: This resource is completely free with no hidden charges. Completing this resource and building related skills can prepare you for roles such as Data Analyst, Business Analyst, Data Scientist, Analytics Engineer. Realistic salary bands in India (2025-2026), based on Naukri/AmbitionBox data: Freshers / 0-2 years: Rs 4-8 LPA Mid-level / 2-5 years: Rs 10-22 LPA Senior / 5+ years: Rs 25-50 LPA Actual offers vary heavily by city, company tier, and how strong your portfolio or interview performance is. Companies actively hiring in this space include TCS, Infosys, Flipkart, Amazon, Swiggy, Zomato, PhonePe. The data science industry in India is projected to grow at 27% CAGR through 2028. Companies across all sectors — from banking (HDFC, ICICI) to e-commerce (Flipkart, Amazon) to healthcare (Practo, PharmEasy) — are building data teams. India currently has a shortage of 200,000+ data professionals, making this one of the best fields to enter right now. Cities like Bangalore, Hyderabad, Pune, and Gurgaon have the highest concentration of data science jobs. Rice University is a well-established platform trusted by millions of learners worldwide. This particular resource has been selected by our editorial team based on: Content quality — comprehensive coverage with clear explanations Practical focus — emphasis on hands-on skills over pure theory Student outcomes — positive reviews and career success stories Indian relevance — content applicable to the Indian job market and interview patterns Updated curriculum — material reflects current industry practices and tools We regularly review and update our recommendations to ensure they remain relevant and high-quality.
Introduction to Computational Finance and Financial Econometrics - Rice
Rice University (via Coursera)
Introduction to Computational Finance and Financial Econometrics - Rice is a comprehensive intermediate-level resource offered by Rice University, focused on building practical skills in business and finance. Whether you're a complete beginner looking to start a new career or a professional aiming to upgrade your skills, this resource provides a thorough learning experience. This is a structured online course with a carefully designed curriculum. Each module builds on the previous one, creating a logical progression from fundamentals to advanced topics. The course typically includes video lectures, reading materials, hands-on exercises, quizzes, and sometimes peer-reviewed assignments. This structured approach ensures you don't miss any critical concepts and build a solid foundation. This resource covers topics essential for success in business and finance, including financial analysis, accounting, stock market investing, and project management. The curriculum is structured to build your knowledge progressively — starting with foundational concepts and advancing to real-world applications. By the end, you should be able to: Master financial fundamentals: time value of money, statements, ratios Build financial models in Excel Value stocks and businesses Apply finance to personal and business decisions Duration: Estimated duration: 15 hours of content, designed to be completed in 2-3 weeks at a comfortable pace. Basic familiarity with the subject area is recommended. You should have completed a beginner-level course or have equivalent self-taught knowledge. Comfort with using a computer and basic problem-solving skills will help. This resource is designed for a wide audience: Students (B.Tech, BCA, MCA, BSc) looking to complement their academic learning with practical, industry-relevant skills Fresh graduates preparing for campus placements or off-campus interviews Working professionals looking to upskill, switch domains, or advance their careers Career changers transitioning from non-tech backgrounds into business and finance Freelancers wanting to add new services to their portfolio Self-learners passionate about business and finance and wanting structured guidance Pricing: This resource is completely free with no hidden charges. Completing this resource and building related skills can prepare you for roles such as Financial Analyst, Business Analyst, Product Manager, Accountant. Realistic salary bands in India (2025-2026), based on Naukri/AmbitionBox data: Freshers / 0-2 years: Rs 5-10 LPA Mid-level / 2-5 years: Rs 12-25 LPA Senior / 5+ years: Rs 28-55 LPA Actual offers vary heavily by city, company tier, and how strong your portfolio or interview performance is. Companies actively hiring in this space include banks, consulting firms, startups, Big 4 accounting firms. India's financial services sector is undergoing massive transformation with the rise of fintech, UPI, and digital banking. Financial literacy and business skills are valued across all industries, not just finance. Product managers, for instance, earn Rs 15-40 LPA and are one of the fastest-growing roles in Indian tech. Understanding business fundamentals gives you an edge regardless of your primary domain. Rice University is a well-established platform trusted by millions of learners worldwide. This particular resource has been selected by our editorial team based on: Content quality — comprehensive coverage with clear explanations Practical focus — emphasis on hands-on skills over pure theory Student outcomes — positive reviews and career success stories Indian relevance — content applicable to the Indian job market and interview patterns Updated curriculum — material reflects current industry practices and tools We regularly review and update our recommendations to ensure they remain relevant and high-quality.
Rice University Coding Boot Camp
Rice University (via edX)
Rice University Coding Boot Camp
Rice University Technology Project Management Boot Camp
Rice University (via edX)
Rice University Technology Project Management Boot Camp
Rice University UX/UI Boot Camp
Rice University (via edX)
Rice University UX/UI Boot Camp
Proteins: Biology's Workforce
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Proteins: Biology's Workforce
DNA: Biology's Genetic Code
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DNA: Biology's Genetic Code
Introduction to Biology: Ecology
Rice University (via Coursera)
Ecology is all about connections. In this course, we’ll see how interdependent every living thing is and how people are impacting the natural world. Like all sciences, ecology isn’t just a list of known facts– it’s also a process. I love telling stories, and I’ve included many stories about how we’ve come to know what we know about ecology through observations and experiments.
Physics 101 - Rotational Motion and Gravitation
Rice University (via Coursera)
This third course serves as an introduction to the physics of rotational motion and gravitation. Upon completion, learners will understand how mathematical laws and conservation principles describe the motions and interactions of objects around us. Learners will gain experience in solving physics problems with tools such as graphical analysis, algebra, vector analysis, and calculus. This third course covers Rotational motion, Angular Momentum, and Gravitation. Each of the three modules contains reading links to a free textbook, complete video lectures, conceptual quizzes, and a set of homework problems. Once the modules are completed, the course ends with an exam. This comprehensive course is similar in detail and rigor to those taught on-campus at Rice. It will thoroughly prepare learners for their upcoming introductory physics courses or more advanced courses in physics.
NULL DNA: Biology's Architect/Template/Memory Bank
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NULL DNA: Biology's Architect/Template/Memory Bank
Fundamentals of Immunology, Part 1
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Fundamentals of Immunology, Part 1
Fundamentals of Immunology, Part 2
Rice University (via edX)
Fundamentals of Immunology, Part 2
Fundamentals of Immunology: Death by Friendly Fire
Rice University (via edX)
Fundamentals of Immunology: Death by Friendly Fire
Multicore Programming in Java: Parallelism
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Multicore Programming in Java: Parallelism
Multicore Programming in Java: Concurrency
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Multicore Programming in Java: Concurrency
Data Analysis and Visualization
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Data Analysis and Visualization
Discrete Time Signals and Systems, Part 1: Time Domain
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Discrete Time Signals and Systems, Part 1: Time Domain
Medical Terminology II
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This is the second course of the Medical Terminology specialization. It builds on the basic concepts of medical terminology with the introduction of new roots, terms, and abbreviations specific to the endocrine system (hormones). The body's transportation and defense systems (cardiovascular, blood, and lymphatic) will also be covered as well as the respiratory system (lungs).
Anatomy & Physiology: Fluids, Transport, and Defense
Rice University (via Coursera)
This course in the second A&P specialization uses a systems-based approach to human anatomy and physiology at the organ, organ system, and organism level. Two major body systems related to fluids and transportation will be explored in detail: the cardiovascular and lymphatic/immune systems. Course material will cover both the structure (anatomy) and function (physiology) of each system with direct application to human development and disease. After completing this course, you will be able to: 1. Identify the major parts of the cardiovascular and lymphatic/immune systems; 2. Describe normal human anatomy structure and function for the cardiovascular and lymphatic/immune systems; 3. Relate anatomical structure and function at the cellular, tissue, organ, and body system levels to clinical diagnoses and dysfunction of the cardiovascular and lymphatic/immune systems.
Discrete Time Signals and Systems, Part 2: Frequency Domain
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Discrete Time Signals and Systems, Part 2: Frequency Domain
Discrete Time Signals and Systems
Rice University (via edX)
Discrete Time Signals and Systems
Evolution of the Earth
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Evolution of the Earth
Lab Safety: The Interactive Game of "Don’t Endanger the Owls"
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Lab Safety: The Interactive Game of "Don’t Endanger the Owls"
Physics 102 - Magnetic Fields and Faraday's Law
Rice University (via Coursera)
This third course serves as an introduction to the physics of electricity and magnetism. Upon completion, learners will understand how mathematical laws and conservation principles describe fields and how these fields are related to electrical circuits. Learners will gain experience in solving physics problems with tools such as graphical analysis, algebra, vector analysis, and calculus. This third course covers Magnetic Fields and Faraday's Law of Induction. Each of the three modules contains reading links to a free textbook, complete video lectures, conceptual quizzes, and a set of homework problems. Once the modules are completed, the course ends with an exam. This comprehensive course is similar in detail and rigor to those taught on-campus at Rice. It will thoroughly prepare learners for their upcoming introductory physics courses or more advanced courses in physics.
Leading Workplace Diversity
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Leading Workplace Diversity
Ordinary Differential Equations and Linear Algebra - Part 2
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Ordinary Differential Equations and Linear Algebra - Part 2
Mindfulness and Well-being: Living with Balance and Ease
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This is the sequel course to Foundations of Mindfulness that will continue to provide a broad overview of the fundamental concepts, principles, and practices of mindfulness. With interactive exercises to help students explore their own attitudes, mental habits and behaviors, Foundations of Mindfulness series offers a pathway for living with more freedom, authenticity and ease. Featured components of the course include experiential exercises, guided meditations, personal reflection and interactive discussions. Living with Balance and Ease will not only cover some of the fundamentals of mindfulness, but will focus on connecting to the innate resources and abilities that will allow for a more effective response to life's challenges, build resiliency, and invite peace and ease into everyday life. Although this course can be taken as a standalone, it is recommended to take the first Foundations of Mindfulness course before beginning this course.
Ordinary Differential Equations and Linear Algebra
Rice University (via edX)
Ordinary Differential Equations and Linear Algebra
Finances pour les professionnels non financiers
Rice University (via Coursera)
Ce cours abrégé examine tous les sujets principaux abordés dans un cours semestriel de finances de niveau MBA. Ceci dit, son approche est plus intuitive et son niveau conceptuel très élevé. Notre objectif consiste à vous présenter une feuille de route et un cadre sur les prises de décision par des professionnels financiers. Nous couvrirons les principes fondamentaux de la valorisation financière, de la valeur temps de l’argent, des rendements composés et de l’actualisation des flux de trésorerie futurs. Vous comprendrez la valorisation des flux de trésorerie actualisés et comment la comparer à d’autres méthodes. Nous entrerons aussi dans la peau d’une directrice financière d’entreprise pour développer des outils de base pour budgétiser les immobilisations. Nous examinerons comment, quand et où dépenser des fonds, faire des compromis sur l’investissement, la croissance, les dividendes et comment garantir une saine discipline budgétaire. Notre voyage nous orientera ensuite vers Wall Street ou les marchés boursiers pour discuter du compromis fondamental entre le risque et le rendement. Nous résumerons ensuite notre discussion sur le risque avec notre cadre de valorisation et l’incorporons dans une série d’applications directes pour nous entraîner. Ce cours ne nécessite aucune connaissance préalable des finances. Il s’agit plutôt d’une première étape pour quiconque souhaite comprendre les marchés boursiers, la valorisation ou le financement des entreprises. Nous passerons en revue tous les outils et l’analyse quantitative. Nous développerons un guide pour comprendre les décisions apparemment complexes que prennent les professionnels financiers. À la fin du cours, vous comprendrez des leviers conceptuels principaux qui dirigent la prise de décisions financières, et comment ils sont liés à d’autres domaines d’activité. Le cours devrait également servir de feuille de route pour savoir où poursuivre vos études en finances. Ce sera une excellente introduction...
RiceX Linear Algebra Part 1
Rice University (via edX)
RiceX Linear Algebra Part 1
Physics 102 - Electric Potential and DC Circuits
Rice University (via Coursera)
This second course serves as an introduction to the physics of electricity and magnetism. Upon completion, learners will understand how mathematical laws and conservation principles describe fields and how these fields are related to electrical circuits. Learners will gain experience in solving physics problems with tools such as graphical analysis, algebra, vector analysis, and calculus. This second course covers Electric Potential, Capacitance, Current, Resistors, and DC Circuits. Each of the two modules contains reading links to a free textbook, complete video lectures, conceptual quizzes, and a set of homework problems. Once the modules are completed, the course ends with an exam. This comprehensive course is similar in detail and rigor to those taught on-campus at Rice. It will thoroughly prepare learners for their upcoming introductory physics courses or more advanced courses in physics.
Linear Algebra, Part 1
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Linear Algebra, Part 1
Medicine in the Digital Age
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Medicine in the Digital Age
Introduction to Mechanics, Part 1
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Introduction to Mechanics, Part 1
Mechanics, Part 1
Rice University (via edX)
Mechanics, Part 1
Mechanics, Part 2
Rice University (via edX)
Mechanics, Part 2
Mechanics
Rice University (via edX)
Mechanics
Electricity and Magnetism, Part 1
Rice University (via edX)
Electricity and Magnetism, Part 1
Self Awareness and the Effective Leader
Rice University (via Coursera)
Part of being an effective leader is learning how to play to your strengths and overcome characteristics that don't lend to good leadership practices. During the course, you will examine your own strengths and learn ways to use them in a leadership role. Learn to manage stress and solve problems creatively. Throughout the course, you will also build a tool kit of useful techniques that you can begin using right away in your engineering career. This course is designed for engineers who are interested in and have the desire to advance into leadership and management roles. You don't need any leadership experience to do well in this course. We ask you to reflect on your personal experiences pretty often, so some work experience will help you in that aspect, but we hope that most of what you learn here will be applicable to many areas of your life. Looking to advance even further as an engineering manager & leader for Industry 4.0? Rice University's top-ranked School of Engineering now offers a Master of Engineering Management & Leadership, 100% online for your convenience. Visit www.rice.edu/engineeringleaders to learn more.
Electricity & Magnetism, Part 2
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Electricity & Magnetism, Part 2
Electricity and Magnetism, Part 2
Rice University (via edX)
Electricity and Magnetism, Part 2
Engineering Project Management: Risk, Quality, Teams, and Procurement
Rice University (via Coursera)
Many Project Managers focus only on the scope, schedule and budget. However, a successful project requires that you manage risk, control the quality of the deliverables, engage and manage people and procure goods and services. This course will focus on these key support functions that make the difference between a highly successful project and an average one. During the course, you will prepare a Qualitative Risk Analysis and Evaluate the Cost of Quality for a provided Case Study. By the end of this course you will be able to: • Identify positive and negative risks • Develop risk strategies • Perform a qualitative risk analysis • Identify cost contingencies and reserves • Develop a quality plan • Identify quality standards • Utilize cause and effect tools • Create a prioritization matrix • Develop a team management plan that includes team development, identifying team members and clarifies roles and responsibilities • Develop a procurement plan that includes contracts and incentives All of this will position you to understand the more intangible aspects of project management to drive better overall performance. Rice Center for Engineering Leadership is a Registered Education Provider through the Project Management Institute (PMI)®. Learners who complete this course on the Certificate track will be awarded 12 hours of Profession Development Units. These are recognized by PMI for continuing education or can be applied toward the 35 hours of education required for the Project Management Professional (PMP)® certification. *PMI and PMP are registered marks of the Project Management Institute, Inc.
Waves & Optics, Part 1
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Waves & Optics, Part 1
Global Financial Markets and Instruments
Rice University (via Coursera)
Get a running start in the high-stakes world of financial investment! This first course is designed to help you become an informed investor by providing you with the essential concepts for long-term success in managing money. You’ll start by learning the role of financial markets and financial assets in a well-functioning economy. From there, you’ll learn about the wide range of financial instruments available in major asset classes, their features and valuations. You’ll explore how financial markets actually operate in the real world, focusing on how and where securities are traded and how various market types differ from one another in practice. You will also learn the basics of algorithmic trading, dark pools, buying on margin and short selling. By the end of the course, learners will be able to: • List and distinguish the different financial instruments available to an investor • Compare global financial markets • Explain the features of equity, debt, and derivative instruments • Define traditional and alternative asset classes • Discuss different trading venues and mechanics of securities trading • Discuss the current trends affecting today’s financial markets This course is designed to be accessible for students of all knowledge levels and gives you the actionable foundation needed to manage money in a post-crisis world. ________________________________________ WEEK 1 Module 1: Introduction & Review of Elementary Finance Tools This module introduces the Investment and Portfolio Management Specialization, which is made up of four courses. This module discusses how the first course, Global Financial Markets and Assets, is organized. It outlines the different stages of the investment management process, which guides the focus of the Specialization. It also reviews basic finance concepts and tools such as time value of money, computing returns, discounting and compounding. Topics covered include: • Familiarize with the organization of the class • Meet the pro...
Waves & Optics - Part 2
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Waves & Optics - Part 2
Real Estate Investment and Development
Rice University (via edX)
Real Estate Investment and Development
AI Boot Camp
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AI Boot Camp
Financial Statement Analysis: Fundamental Ratio Analysis
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Financial Statement Analysis: Fundamental Ratio Analysis
Financial Statement Analysis: Company Forecasts and Valuations
Rice University (via edX)
Financial Statement Analysis: Company Forecasts and Valuations
Python Data Representations
Rice University (via Coursera)
This course will continue the introduction to Python programming that started with Python Programming Essentials. We'll learn about different data representations, including strings, lists, and tuples, that form the core of all Python programs. We will also teach you how to access files, which will allow you to store and retrieve data within your programs. These concepts and skills will help you to manipulate data and write more complex Python programs. By the end of the course, you will be able to write Python programs that can manipulate data stored in files. This will extend your Python programming expertise, enabling you to write a wide range of scripts using Python This course uses Python 3. While most Python programs continue to use Python 2, Python 3 is the future of the Python programming language. This course introduces basic desktop Python development environments, allowing you to run Python programs directly on your computer. This choice enables a smooth transition from online development environments.
Introduction to Diversity in the Workplace
Rice University (via edX)
Introduction to Diversity in the Workplace
Principles of Computing (Part 1)
Rice University (via Coursera)
This two-part course builds upon the programming skills that you learned in our Introduction to Interactive Programming in Python course. We will augment those skills with both important programming practices and critical mathematical problem solving skills. These skills underlie larger scale computational problem solving and programming. The main focus of the class will be programming weekly mini-projects in Python that build upon the mathematical and programming principles that are taught in the class. To keep the class fun and engaging, many of the projects will involve working with strategy-based games. In part 1 of this course, the programming aspect of the class will focus on coding standards and testing. The mathematical portion of the class will focus on probability, combinatorics, and counting with an eye towards practical applications of these concepts in Computer Science. Recommended Background - Students should be comfortable writing small (100+ line) programs in Python using constructs such as lists, dictionaries and classes and also have a high-school math background that includes algebra and pre-calculus.
Cultivating Organizational Diversity
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Cultivating Organizational Diversity
Operations Management - 1
Rice University (via edX)
Operations Management - 1
Natural Attenuation of Groundwater Contaminants: New Paradigms, Technologies, and Applications
Rice University (via Coursera)
Cleaning up the large number of groundwater contamination sites is a significant and complex environmental challenge. The environmental industry is continuously looking for remediation methods that are both effective and cost-efficient. Over the past 10 years there have been amazing, important developments in our understanding of key attenuation processes and technologies for evaluating natural attenuation processes, and a changing institutional perspective on when and where Monitored Natural Attenuation (MNA) may be applied. Despite these advances, restoring groundwater contaminated by anthropogenic sources to allow for unrestricted use continues to be a challenge. Because of a complex mix of physical, chemical, and biological constraints associated with active in-situ cleanup technologies, there has been a long standing focus on understanding natural processes that attenuate groundwater contaminant plumes. We will build upon basic environmental science and environmental engineering principles to discover how to best implement MNA as a viable treatment for groundwater contamination plumes. Additionally we will delve into the history behind and make predictions about the new directions for this technology. Any professional working in the environmental remediation industry will benefit from this in-depth study of MNA. We will use lectures, readings, and computational exercises to enhance our understanding and implementation of MNA. At the completion of this course, students will have updated understanding and practical tools that can be applied to all possible MNA sites.
Small Business Entrepreneurship: Starting a Business
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Small Business Entrepreneurship: Starting a Business
Small Business Entrepreneurship: Marketing a Business
Rice University (via edX)
Small Business Entrepreneurship: Marketing a Business
Sandbox - SBE 1 - Starting a Business
Rice University (via edX)
Sandbox - SBE 1 - Starting a Business
Seth Tyger - Sandbox
Rice University (via edX)
Seth Tyger - Sandbox
Mindfulness and Well-being: Peace in, Peace Out
Rice University (via Coursera)
The purpose of this course is to introduce mindfulness as a robust tool for spiritual development. Highlighting its rich traditional roots, the course explores the capacity of mindfulness to expand understanding about the nature of human consciousness and facilitate certain transcendent emotional experiences, including awe, wonder and flow. Designed for practical application, the course includes a variety of meditations, reflective exercises and activities to help make the material personally meaningful and is the culmination of a specialization created to promote holistic well-being through the practice of mindfulness.
Assessing Cultural Climate
Rice University (via Coursera)
Assessment is an integral part of any strategic effort. This course provides a familiarization of assessment practices and provides learners with various traditional and nontraditional methods of measurement to assist in making informed improvements to their DE&I initiatives. You will also expand your knowledge in creating bias-free and inclusive evaluation tools with special emphasis placed on assessing organizational climate and culture. By the end of this course, you will be able to: 1. Examine the benefits of benchmarking DE&I efforts internally and against other institutions. 2. Identify variables related to DE&I assessment and how the peer review may be used in this approach. 3. Discover the elements of a successful DE&I statement and how to assess its effectiveness. 4. Describe how ethnography and strategic foresight can be used to address systemic discrimination, social justice and other DE&I concerns in your organization.
Stoney Gaddy- Sandbox
Rice University (via edX)
Stoney Gaddy- Sandbox
Strategic Project Management
Rice University (via edX)
Strategic Project Management
Introduction to Archaeology : Archaeology as Science
Rice University (via Coursera)
This course is the second in a series on the discipline of Archaeology. It is intended for learners at all stages, including advanced high school, college students, or life-long learners. Basic information about Archaeology and its history are presented in the previous introductory course. This course covers scientific methods commonly used by archaeologists. The following two courses teach about forms of interpretation and contemporary social issues that archaeologists engage with.
Distributed Programming in Java
Rice University (via Coursera)
This course teaches learners (industry professionals and students) the fundamental concepts of Distributed Programming in the context of Java 8. Distributed programming enables developers to use multiple nodes in a data center to increase throughput and/or reduce latency of selected applications. By the end of this course, you will learn how to use popular distributed programming frameworks for Java programs, including Hadoop, Spark, Sockets, Remote Method Invocation (RMI), Multicast Sockets, Kafka, Message Passing Interface (MPI), as well as different approaches to combine distribution with multithreading. Why take this course? • All data center servers are organized as collections of distributed servers, and it is important for you to also learn how to use multiple servers for increased bandwidth and reduced latency. • In addition to learning specific frameworks for distributed programming, this course will teach you how to integrate multicore and distributed parallelism in a unified approach. • Each of the four modules in the course includes an assigned mini-project that will provide you with the necessary hands-on experience to use the concepts learned in the course on your own, after the course ends. • During the course, you will have online access to the instructor and the mentors to get individualized answers to your questions posted on forums. The desired learning outcomes of this course are as follows: • Distributed map-reduce programming in Java using the Hadoop and Spark frameworks • Client-server programming using Java's Socket and Remote Method Invocation (RMI) interfaces • Message-passing programming in Java using the Message Passing Interface (MPI) • Approaches to combine distribution with multithreading, including processes and threads, distributed actors, and reactive programming Mastery of these concepts will enable you to immediately apply them in the context of distributed Java programs, and will also provide the foundation for mastering o...
Python Data Visualization
Rice University (via Coursera)
This if the final course in the specialization which builds upon the knowledge learned in Python Programming Essentials, Python Data Representations, and Python Data Analysis. We will learn how to install external packages for use within Python, acquire data from sources on the Web, and then we will clean, process, analyze, and visualize that data. This course will combine the skills learned throughout the specialization to enable you to write interesting, practical, and useful programs. By the end of the course, you will be comfortable installing Python packages, analyzing existing data, and generating visualizations of that data. This course will complete your education as a scripter, enabling you to locate, install, and use Python packages written by others. You will be able to effectively utilize tools and packages that are widely available to amplify your effectiveness and write useful programs.
Oral Communication for Engineering Leaders
Rice University (via Coursera)
Taught by Rice University communication faculty from the Rice Center for Engineering Leadership (RCEL). This course covers core topics in oral communication: Communication strategy, content, data visualization, and delivery. You’ll learn key principles in • Creating a communication strategy • Developing a clear message and organizing persuasive content • Creating strong visual support • Presenting data effectively • Presenting professionally and confidently • Handling formal presentations, giving pitches, speaking extemporaneously, managing online presentations, and lowering public speaking anxiety Selected materials courtesy of Communication Faculty at Rice University - all rights reserved.
Finanzen für Nicht-Finanzfachleute
Rice University (via Coursera)
Dieser kurze Kurs gibt einen Überblick über alle wesentlichen Themen, die in einem Finanzkurs auf MBA-Ebene in einem ganzen Semester behandelt werden, jedoch mit einem intuitiveren Ansatz auf einer sehr hohen konzeptionellen Ebene. Das Ziel dieses Kurses besteht darin, Ihnen einen Plan und einen Rahmen zu geben, wie Finanzfachleute Entscheidungen treffen. Wir werden die Grundlagen der Finanzbewertung behandeln, den Zeitwert des Geldes, aufgezinste Erträge sowie abgezinste zukünftige Erträge. Sie werden die Discounted-Cash-Flow(DCF)-Bewertung verstehen und mit anderen Methoden vergleichen. Außerdem versetzen wir uns in die Köpfe von Finanzmanagern von Großkonzernen und entwickeln die grundlegenden Tools der Investitionsrechnung. Wir werden uns ansehen, wie, wann und wo Geld ausgegeben wird, werden Abwägungen in Bezug auf Investitionen, Wachstum, Dividenden und die Einhaltung einer gesunden Finanzdisziplin treffen. Anschließend nehmen wir die Investitionsperspektive der Wall Street bzw. der Kapitalmärkte ein und besprechen die fundamentalen Abwägungen zwischen Risiko und Rendite. Dann synthetisieren wir unsere Risikodiskussion mit unserem Bewertungsrahmen und nutzen sie für eine Reihe von direkten Anwendungen in der Praxis. Für diesen Kurs sind keine Vorkenntnisse im Finanzwesen erforderlich. Er soll vielmehr ein erster Schritt für jeden sein, der Aktienmärkte, Bewertung und Unternehmensfinanzierung verstehen möchte. Wir werden sämtliche Tools und quantitativen Analysen zusammen durchgehen und einen Leitfaden entwickeln, um die scheinbar komplexen Entscheidungen von Finanzfachleuten verstehen zu können. Bis zum Ende des Kurses werden Sie ein Verständnis für die wesentlichen konzeptionellen Hebel, die bei Finanzentscheidungen betätigt werden, und ihre Beziehung zu anderen Geschäftsbereichen entwickeln. Dieser Kurs soll Ihnen auch als Orientierung dienen, wie Sie Ihre finanzielle Bildung weiterentwickeln können. Zudem eignet er sich ausgezeichnet als Einführ...
Medical Terminology I
Rice University (via Coursera)
This course will discuss the importance of learning medical language as well as introduce basic word parts and concepts applied in medical terminology. We will also learn about common organization and terms seen in medical records before moving into system-specific terms for the integumentary system (skin), musculoskeletal system (muscles and bones), and urinary (kidneys).
Academic Success for English Learners
Rice University (via Coursera)
This course is designed for early career teachers (0-3 years of experience) to build a solid foundation of knowledge and skills to work with English learners, no matter the age or subject taught. We’ll start off by learning about the importance of specialized instruction for ELs and principles that teachers should follow to set the stage for their academic. Next, we’ll expand on the concepts from module 1 and explore practical steps for teachers in the classroom, including how to make linguistic and instructional accommodations for ELs. We take a deeper dive into techniques for teachers and present strategies for students to bolster their own academic success in module 3. The course wraps up with module 4, which is all about facilitating academic success for special groups of English learners, including gifted students, long-term English learners, and ELs with disabilities. Throughout this course, you will watch instructional videos, read scholarly articles, participate in discussion boards, and complete assignments that will encourage you to think about your practices as a teacher of ELs. Finally, you will complete this course with a treasure trove of practical classroom activities and tips for fostering academic success with English learners. By participating in this course, teachers will be better prepared to serve the English learners in their classrooms through sheltered instruction principles, effective lesson planning and assessment practices, purposefully reflecting on teaching, and understanding the unique challenges faced by this group of students.
Anatomy & Physiology: Levels of Organization
Rice University (via Coursera)
This course will provide a basic introduction to the human body. It will examine common organizational patterns and terms in anatomy. It will also provide a micro-level view of essential elements and compounds at the atomical and molecular level before expanding to the cellular and tissue levels. Finally, we will look at how tissue can form organs and even an entire organ system with the skin through our look at the Integumentary System. This course provides a strong foundation upon which the future system-based courses in the specialization will build!
Physics of Oscillators and Waves
Rice University (via Coursera)
This first course serves as an introduction to the physics of waves and light. Upon completion, learners will understand how mathematical laws and conservation principles describe wave propagation and light in the context of both geometrical and physical optics. Learners will gain experience in solving physics problems with tools such as graphical analysis, algebra, vector analysis, and calculus. This first course covers the Wave Equation, Normal Modes, Wave Propagation, and Dispersion. Each of the three modules contains complete video lectures, conceptual quizzes, and a set of homework problems. Once the modules are completed, the course ends with an exam. This comprehensive course is similar in detail and rigor to those taught on-campus at Rice. It will thoroughly prepare learners for their upcoming introductory physics courses or more advanced courses in physics.
Physics of Geometrical and Physical Optics
Rice University (via Coursera)
This third course serves as an introduction to the physics of waves and light. Upon completion, learners will understand how mathematical laws and conservation principles describe wave propagation and light in the context of both geometrical and physical optics. Learners will gain experience in solving physics problems with tools such as graphical analysis, algebra, vector analysis, and calculus. This third course covers the Lens Equation, Image Formation, Interference, and Diffraction . Each of the three modules contains complete video lectures, conceptual quizzes, and a set of homework problems. Once the modules are completed, the course ends with an exam. This comprehensive course is similar in detail and rigor to those taught on-campus at Rice. It will thoroughly prepare learners for their upcoming introductory physics courses or more advanced courses in physics.
Parallel Programming in Java
Rice University (via Coursera)
This course teaches learners (industry professionals and students) the fundamental concepts of parallel programming in the context of Java 8. Parallel programming enables developers to use multicore computers to make their applications run faster by using multiple processors at the same time. By the end of this course, you will learn how to use popular parallel Java frameworks (such as ForkJoin, Stream, and Phaser) to write parallel programs for a wide range of multicore platforms including servers, desktops, or mobile devices, while also learning about their theoretical foundations including computation graphs, ideal parallelism, parallel speedup, Amdahl's Law, data races, and determinism. Why take this course? • All computers are multicore computers, so it is important for you to learn how to extend your knowledge of sequential Java programming to multicore parallelism. • Java 7 and Java 8 have introduced new frameworks for parallelism (ForkJoin, Stream) that have significantly changed the paradigms for parallel programming since the early days of Java. • Each of the four modules in the course includes an assigned mini-project that will provide you with the necessary hands-on experience to use the concepts learned in the course on your own, after the course ends. • During the course, you will have online access to the instructor and the mentors to get individualized answers to your questions posted on forums. The desired learning outcomes of this course are as follows: • Theory of parallelism: computation graphs, work, span, ideal parallelism, parallel speedup, Amdahl's Law, data races, and determinism • Task parallelism using Java’s ForkJoin framework • Functional parallelism using Java’s Future and Stream frameworks • Loop-level parallelism with extensions for barriers and iteration grouping (chunking) • Dataflow parallelism using the Phaser framework and data-driven tasks Mastery of these concepts will enable you to immediately apply them in the context of...
Relationship Management
Rice University (via Coursera)
To be a successful engineer, you must work and play well with others. This course focuses on developing the skills you will need to build and sustain professional relationships and networks. Learn to coach and mentor others, manage conflict and build power and influence in the workplace.
Capstone: Build a Winning Investment Portfolio
Rice University (via Coursera)
Put your investment and portfolio management knowledge to the test through five weeks of hands-on investment experiences: • Developing and managing your own simulated investment portfolio, resulting in a peer-graded report covering portfolio strategy, analysis, and performance • Advising case study clients on a variety of investment topics, essentially acting as an investment advisor in a simulated environment recommending strategies for and changes in portfolios based on challenges and issues faced by your clients • Using the sophisticated web-based analytical tools of Silicon Cloud Technologies LLC’s Portfolio Visualizer including portfolio mean variance optimization, historical and forecasted efficient frontiers, Fama-French factor models, and many more Your capstone experiences are directly applicable to managing real world investment portfolios and the final report can be shared with family, friends, and potential or current employers. By the end of the capstone project, you will have incorporated concepts from all four courses, including: • Analyzing multiple asset classes • Asset allocation and risk management • Current market trends • Behavioral finance • Investment styles and strategies • Financial market innovation • Investment performance evaluation
Introduction to Biology: Biodiversity
Rice University (via Coursera)
In this course we will examine the incredible variety of life that inhabits this planet including microorganisms, plants, and animals. For each of the major groups we’ll learn about their characteristics, functions, and how they came into existence as well as some of the roles they play in the natural world, and how they’re relevant to people. We’ll also take a close look at us humans and consider what we know about our origins and what might become of us in the future.
Linear Regression for Business Statistics
Rice University (via Coursera)
Regression Analysis is perhaps the single most important Business Statistics tool used in the industry. Regression is the engine behind a multitude of data analytics applications used for many forms of forecasting and prediction. This is the fourth course in the specialization, "Business Statistics and Analysis". The course introduces you to the very important tool known as Linear Regression. You will learn to apply various procedures such as dummy variable regressions, transforming variables, and interaction effects. All these are introduced and explained using easy to understand examples in Microsoft Excel. The focus of the course is on understanding and application, rather than detailed mathematical derivations. Note: This course uses the ‘Data Analysis’ tool box which is standard with the Windows version of Microsoft Excel. It is also standard with the 2016 or later Mac version of Excel. However, it is not standard with earlier versions of Excel for Mac. WEEK 1 Module 1: Regression Analysis: An Introduction In this module you will get introduced to the Linear Regression Model. We will build a regression model and estimate it using Excel. We will use the estimated model to infer relationships between various variables and use the model to make predictions. The module also introduces the notion of errors, residuals and R-square in a regression model. Topics covered include: • Introducing the Linear Regression • Building a Regression Model and estimating it using Excel • Making inferences using the estimated model • Using the Regression model to make predictions • Errors, Residuals and R-square WEEK 2 Module 2: Regression Analysis: Hypothesis Testing and Goodness of Fit This module presents different hypothesis tests you could do using the Regression output. These tests are an important part of inference and the module introduces them using Excel based examples. The p-values are introduced along with goodness of fit measures R-square and the adjusted R-sq...
Fundamentals of Immunology: Inflammation, Tolerance, Autoimmunity
Rice University (via Coursera)
Course 3 of a four-course specialization called Fundamentals of Immunology. Each course in the specialization presents material that builds on the previous course's material. This is the third leg of the journey through the defenses your body uses to keep you healthy. We learned about innate immunity and B cell function in the first course. In the second course, we studied T cell function and coordination of the immune response. Fundamentals of Immunology: Inflammation, Tolerance, and Autoimmunity introduces students to the basic functions of the adaptive and innate immune systems. The early lectures survey cells, tissues, and organs using metaphors, cartoons, and models to improve understanding and retention. After describing the form, function, origin, and varieties of antibodies, subsequent lectures provide details on the mechanism of the generation of variation. The course provides animations of gene rearrangement and class switching and descriptions of affinity maturation correlated with detailed physical models of antibody structure. The final lecture reviews these concepts in an anatomical context. Testing employs multiple choice questions testing facts, concepts, and application of principles. Questions may refer to diagrams, drawings, and photographs used in the lecture and reproduced in the outline. What You’ll Learn: A survey of immune cells and how they attack pathogens, emphasizing the mechanism of inducing apoptosis and details of Antibody Directed Cell-mediated Cytotoxicity. The inflammatory response and mechanisms of generating tolerance are presented sequentially to emphasize the decision-making in controlling attacks. A survey of autoimmune disease, its characteristics, cause, and treatment. Survey of hypersensitivity reactions, including allergy, anaphylaxis, anemias, granulomas, and various skin responses. This is accompanied by identification, prevention, and treatment. The final discussion of preventing transplant rejection is preceded by a...
English and Academic Preparation - Pre-Collegiate
Rice University (via Coursera)
The English and Academic Preparation - Pre-Collegiate non-credit course is for students with a (minimum) high-intermediate level of English. This certificate course is designed to help domestic and international students develop the academic skills necessary for success in undergraduate studies at an American university while strengthening their English proficiency. Ideally, prospective students have completed or are near completion of a high school diploma in their country and would like to come to the United States to study for a bachelor’s degree. The total length of time required to complete the course is approximately 4 weeks. Students should expect to spend about 5-7 hours per week working with the materials and assignments. The course is made up of 4 modules: • Listening, Speaking, and Critical Thinking • Writer’s Workshop • Reading and Note-taking • Capstone Project Each module consists of video lessons, opportunities for practicing English and academic skills, interactive discussion boards with classmates, and graded activities. All courses are asynchronous, which means that the lessons and their activities can be completed at any time of day or night, provided that all course assignments are completed by the final day of class.
Biases and Portfolio Selection
Rice University (via Coursera)
Investors tend to be their own worst enemies. In this third course, you will learn how to capitalize on understanding behavioral biases and irrational behavior in financial markets. You will start by learning about the various behavioral biases – mistakes that investors make and understand their reasons. You will learn how to recognize your own mistakes as well as others’ and understand how these mistakes can affect investment decisions and financial markets. You will also explore how different preferences and investment horizons impact the optimal asset allocation choice. After this course, you will be more effective in overcoming biases to do the wrong things at the wrong times and tailoring an investment strategy that is best suited on your or your client’s profile and investment needs.
Principles of Economics: Macroeconomics - The Big Picture
Rice University (via Coursera)
Take a trip with me in this the third and final course of this Economics 100 Specialization which is a direct adaptation from one of my courses I teach at Rice University. Specifically, in this course we're going to be focusing on Macroeconomics. What is Macroeconomics you might be asking? Well, you've come to the right place! We're going to be going over the big picture of economics- which is examining the measures we use to gauge the health of national economies and study the theories and policies aimed at improving economic health. In a nutshell, how can we use economics to make the world a better place? Through course lectures, quizzes, discussions, and problem sets, my hope is that you'll be able to digest economic news with a more discerning viewpoint, and have a more informed view about the cost and benefits of economic policy. Finally, my hope is that you've learned to look at the world around you through the eyes of an economist. By the end of this course you should be able to: 1. Describe how GDP is used to measure macroeconomic performance. 2. Describe how inflation is used to measure macroeconomic performance. 3. Describe how unemployment rates and participation rates are used to measure macroeconomic performance. 4. Identify the primary sources of economic growth and explain the observed cross- country differences in income per capita. 5. Define savings and explain the factors influencing financial flows and international trade. 6. Identify the function of the federal reserve, describe the relationship between nominal interest rates, money demand and money supply, and describe the relationship between exchange rates and Net Exports. 7. Explain the interaction between aggregate demand and aggregate supply to determine the price level, real GDP, and employment. 8. Describe the role of government and analyze policy responses to business cycle shocks
General Chemistry: Concept Development and Application
Rice University (via Coursera)
This course will cover the topics of a full year, two semester General Chemistry course. We will use a free on-line textbook, Concept Development Studies in Chemistry, available via Rice’s Connexions project. The fundamental concepts in the course will be introduced via the Concept Development Approach developed at Rice University. In this approach, we will develop the concepts you need to know from experimental observations and scientific reasoning rather than simply telling you the concepts and then asking you to simply memorize or apply them. So why use this approach? One reason is that most of us are inductive learners, meaning that we like to make specific observations and then generalize from there. Many of the most significant concepts in Chemistry are counter-intuitive. When we see where those concepts come from, we can more readily accept them, explain them, and apply them. A second reason is that scientific reasoning in general and Chemistry reasoning in particular are inductive processes. This Concept Development approach illustrates those reasoning processes. A third reason is that this is simply more interesting! The structure and reactions of matter are fascinating puzzles to be solved by observation and reasoning. It is more fun intellectually when we can solve those puzzles together, rather than simply have the answers to the riddles revealed at the outset. Recommended Background: The class can be taken by someone with no prior experience in chemistry. However, some prior familiarity with the basics of chemistry is desirable as we will cover some elements only briefly. For example, a prior high school chemistry class would be helpful. Suggested Readings: Readings will be assigned from the on-line textbook “Concept Development Studies in Chemistry”, available via Rice’s Connexions project. In addition, we will suggest readings from any of the standard textbooks in General Chemistry. A particularly good free on-line resource is Di...
Introduction to Archaeology: Archaeology as Activism
Rice University (via Coursera)
This course is the fourth and final course in a series on the discipline of Archaeology. It is intended for learners at all stages, including advanced high school, college students, or life-long learners. Basic information about Archaeology and its history are presented in the first introductory course. The second course teaches common scientific methods used in archaeological research. The third course focuses on forms of interpretation to reconstruct various aspects of the past through archaeological approaches. This final course covers contemporary social issues that archaeologists engage with.
Engineering Project Management: Scope, Time and Cost Management
Rice University (via Coursera)
Scope, time, and cost management are at the heart of successful project management. This course will give you the tools to develop a project scope, schedule and budget and then status them to predict project performance. Throughout the course, you will learn about change management and techniques to implement it. By the end of this course you will be able to: • Create a requirements document • Create a Project Scope Statement • Identify ways to control the scope of the project • Decompose the work and develop work packages • Create a Work Breakdown Structure • Develop a Critical Path Schedule • Review types of cost estimates and identify whether they are “top down or bottom up” • Review budgets, contingencies and reserves • Calculate planned and earned values to compare with actual cost • Perform a cost and schedule analysis Each week you will prepare a key deliverable for the project plan based on a provided Case Study. These deliverables include: • Project Scope Statement • Project Work Breakdown Structure (WBS) and WBS dictionary • Critical Path schedule sequence diagram • Bar Chart Schedule (Gantt Chart) • Project Cost Estimate • Project Status using an Earned Value Calculation All of this will position you to set up a plan to control your next assignment or your next project whether this is as the project manager or as an area leader. Rice Center for Engineering Leadership is a Registered Education Provider through the Project Management Institute (PMI)®. Learners who complete this course on the Certificate track will be awarded 14 hours of Profession Development Units. These are recognized by PMI for continuing education or can be applied toward the 35 hours of education required for the Project Management Professional (PMP)® certification. PMI and PMP are registered marks of the Project Management Institute, Inc.
Введение в анализ данных с помощью Excel
Rice University (via Coursera)
Использование Excel широко распространено в отрасли. Это очень мощный инструмент анализа данных, и почти все крупные и малые предприятия используют Excel в своей повседневной работе. Это вводный курс по использованию Excel, который предоставляет знания о работе в Excel с целью ее использования для более продвинутых тем деловой статистики позже. Курс разработан с учетом двух типов учащихся — тех, у кого очень мало функциональных знаний о Excel, и тех, кто регулярно использует Excel, но на периферийном уровне и хочет развить свои навыки. Курс включает в себя базовые операции, такие как импорт данных в Excel с использованием различных форматов данных, организацию и управление данными, а также некоторые более продвинутые функции Excel. В целом, знакомство с функциями Excel проходит на базе простых для понимания примеров, которые демонстрируются таким образом, чтобы учащимся не составило труда понять и применить их. Для успешного прохождения курсов учащиеся должны иметь доступ к Microsoft Excel 2010 или более поздней версии для Windows. ________________________________________ НЕДЕЛЯ 1 Модуль 1: Введение в электронные таблицы В этом модуле вы познакомитесь с использованием электронных таблиц Excel и различными базовыми функциями данных Excel. Рассматриваемые темы включают: • Импорт данных в Excel с использованием различных форматов • Основные функции в Excel, арифметические и различные логические функции • Форматирование строк и столбцов • Использование формул в Excel и их копирование с использованием абсолютных и относительных ссылок ________________________________________ НЕДЕЛЯ 2 Модуль 2: Функции электронной таблицы для организации данных В этом модуле представлены различные функции Excel для организации и запроса данных. Участники знакомятся с функциями ЕСЛИ, ВПР и ГПР и вложенной функцией ЕСЛИ в Excel. Рассматриваемые темы включают: • Функция ЕСЛИ и вложенная функция ЕСЛИ • ВПР и ГПР • Функция СЛУЧМЕЖДУ ________________________________________ НЕДЕЛЯ 3 Модуль...
Introduction to Archaeology: Reconstruction of The Past
Rice University (via Coursera)
This course is the third course in a series on the discipline of Archaeology. It is intended for learners at all stages, including advanced high school, college students, or life-long learners. Basic information about Archaeology and its history are presented in the first introductory course. The second course teaches common scientific methods used in archaeological research. This course focuses on forms of interpretation to reconstruct various aspects of the past through archaeological approaches. The final course covers contemporary social issues that archaeologists engage with.
Business Statistics and Analysis Capstone
Rice University (via Coursera)
The Business Statistics and Analysis Capstone is an opportunity to apply various skills developed across the four courses in the specialization to a real life data. The Capstone, in collaboration with an industry partner uses publicly available ‘Housing Data’ to pose various questions typically a client would pose to a data analyst. Your job is to do the relevant statistical analysis and report your findings in response to the questions in a way that anyone can understand. Please remember that this is a Capstone, and has a degree of difficulty/ambiguity higher than the previous four courses. The aim being to mimic a real life application as close as possible.
Introduction à l'analyse de données à l'aide d'Excel
Rice University (via Coursera)
L'utilisation d'Excel est répandue dans l'industrie. C'est un outil d'analyse de données très puissant et presque toutes les grandes et petites entreprises utilisent Excel au quotidien. Ce cours d'introduction à l'utilisation d'Excel est conçu pour vous donner une connaissance pratique d'Excel dans le but de l'utiliser ultérieurement pour des sujets plus avancés dans le domaine des statistiques d'entreprise. Le cours est conçu en gardant à l'esprit deux types d'apprenants - ceux qui ont très peu de connaissances fonctionnelles d'Excel et ceux qui utilisent Excel régulièrement mais à un niveau moindre et souhaitent améliorer leurs compétences. Le cours vous présente des opérations de base telles que la lecture de données dans Excel en utilisant divers formats de données, l'organisation et la manipulation de données, et certaines des fonctionnalités les plus avancées d'Excel. Tout au long du cours, la fonctionnalité d’Excel est présentée à l'aide d'exemples faciles à comprendre qui sont illustrés de manière à permettre aux apprenants de les comprendre et de les appliquer. Pour réussir les travaux du cours, les étudiants doivent avoir accès à une version Windows de Microsoft Excel 2010 ou une version ultérieure. ________________________________________ SEMAINE 1 Module 1 : Introduction aux feuilles de calcul Dans ce module, vous serez initié à l'utilisation des feuilles de calcul Excel et des diverses fonctions de base relatives aux données d'Excel. Les sujets abordés sont les suivants : • Lecture des données dans Excel en utilisant différents formats • Fonctions de base dans Excel, fonctions arithmétiques ainsi que diverses fonctions logiques • Mise en forme des lignes et des colonnes • Utilisation des formules dans Excel et exécution de copier-coller à l'aide du référencement absolu et relatif ________________________________________ SEMAINE 2 Module 2 : Fonctions des feuilles de calcul pour organiser les données Ce module présente diverses fonctions Excel permett...
Practical Metacognition for Learning
Rice University (via Coursera)
This course provides practical, research-backed strategies to help learners better understand, retain, and apply knowledge in academic and real-world settings. You'll master strategic cognitive tools, including chunking, mind mapping, active recall, and reflective learning techniques, proven to enhance comprehension, retention, and real-world application. Each module focuses on actionable strategies such as adopting a growth mindset, utilizing optimal lifestyle habits for peak cognitive performance, and applying experiential learning frameworks for continuous improvement. Students complete the course equipped with powerful methods to overcome academic challenges, improve workplace productivity, and confidently tackle complex problems—ensuring measurable benefits for personal growth and professional advancement. professionals with an interest in programming.
Anatomy & Physiology: Filtration and Reproduction
Rice University (via Coursera)
This course of the second A&P specialization concludes with a systems-based approach to human anatomy and physiology at the organ, organ system, and organism level with the major body systems related to blood filtration and continuity of life: the urinary and reproductive systems. Course material will cover both the structure (anatomy) and function (physiology) of each system with direct application to human development and disease. After completing this course, you will be able to: 1. Identify the major parts of the urinary and reproductive systems; 2. Describe normal human anatomy structure and function for the urinary and reproductive systems; 3. Relate anatomical structure and function at the cellular, tissue, organ, and body system levels to clinical diagnoses and dysfunction of the urinary system; and 4. Explain the process of typical human gestation and delivery.
Python Data Analysis
Rice University (via Coursera)
This course will continue the introduction to Python programming that started with Python Programming Essentials and Python Data Representations. We'll learn about reading, storing, and processing tabular data, which are common tasks. We will also teach you about CSV files and Python's support for reading and writing them. CSV files are a generic, plain text file format that allows you to exchange tabular data between different programs. These concepts and skills will help you to further extend your Python programming knowledge and allow you to process more complex data. By the end of the course, you will be comfortable working with tabular data in Python. This will extend your Python programming expertise, enabling you to write a wider range of scripts using Python. This course uses Python 3. While most Python programs continue to use Python 2, Python 3 is the future of the Python programming language. This course uses basic desktop Python development environments, allowing you to run Python programs directly on your computer.
Principles of Economics: Introduction - Getting to Know You
Rice University (via Coursera)
Economics and economic theory is fundamental to decision making in business, policy, and everyday life. If you're interested in a career in business, law, accounting, or investment then studying economics is a great foundation of knowledge. In this first course of a three course Specialization adapted from my ECON 100 course taught at Rice University, we'll cover the introduction to the basic concepts of microeconomics and macroeconomics. Microeconomics component includes analysis of supply and demand, consumer and producer behavior, and competitive and noncompetitive market equilibria, with applications to current policy issues. Macroeconomics component provides an overview of the determination of national output, employment, interest rates, and inflation, and analyzes monetary fiscal policies and international trade. More specifically here's some things you should be able to do by the end of the course: 1. Identify how Opportunity Costs affect economic decisions. 2. Discover the basics of the study of economics 3. Compare the long and short of economic theory 4. Link trade and national production 5. Discuss what tradeoffs nations face in production 6. Determine how market supply relates to prices 7. Compare the relationships between the price elasticity of demand and revenue 8. Discover how taxes affect supply and demand Lastly there is a book that I've written that coincides with this and the other two courses in the Specialization. You can purchase it here: https://he.kendallhunt.com/product/story-economics-principles-tale
Introduction to Biology: Evolution
Rice University (via Coursera)
Evolution is one of the most interesting fields within biology, and one that’s central to a complete understanding of modern biology. We begin by tracing how Charles Darwin developed a theory of evolution by natural selection and the many ways that biologists have advanced the science of evolution since his lifetime. We then go on to learn about the many applications of evolutionary biology to our everyday lives.
Physics 101 - Forces and Kinematics
Rice University (via Coursera)
This first course serves as an introduction to the physics of force and motion. Upon completion, learners will understand how mathematical laws and conservation principles describe the motions and interactions of objects around us. Learners will gain experience in solving physics problems with tools such as graphical analysis, algebra, vector analysis, and calculus. This first course covers 1D Kinematics, 2D Kinematics, and Newton's Laws. Each of the three modules contains reading links to a free textbook, complete video lectures, conceptual quizzes, and a set of homework problems. Once the modules are completed, the course ends with an exam. This comprehensive course is similar in detail and rigor to those taught on-campus at Rice. It will thoroughly prepare learners for their upcoming introductory physics courses or more advanced courses in physics.
조직 내에서 다양성, 형평성, 포용성의 정의
Rice University (via Coursera)
4부의 첫 강좌는 조직 내에서 추구하는 다양성, 형평성, 포용성입니다. 이 과정에서는 다양성, 형평성, 포용성의 핵심적 정의와 이러한 노력이 실패하는 경우가 많은 이유에 대해 설명합니다. 또한, 다양성을 주장하기 위한 요소, 다양성, 형평성 및 포용성 성숙의 개념에 대해 살펴볼 것입니다. 학습자 여러분께서는 자신의 조직 활동을 평가하여 다양성, 형평성, 포용성이 어느 수준인지 확인할 수 있습니다. 이 과정을 마치면, 1. 다양성, 형평성, 포용성이라는 용어에 대한 공통적인 이해를 제공하고, 조직 내에서 효과적으로 이행하는 방법을 설명합니다. 2. 인구 구조의 변화가 조직에 어떤 영향을 미칠지 이해하고, 다양성을 주장하는 데 활용되는 여러 가지 주장에 대해 알아보고, 조직의 성공과 어떤 관계가 있는지 살펴봅니다. 3. 다양성, 형평성, 포용성 단계에서 다양성의 여러 가지 수준을 알아보고, 자신이 속한 조직의 위치를 파악합니다. 4. 다양성, 형평성, 포용성 이니셔티브를 이행하면서 경험하는 일반적인 어려움과 다양성을 높이기 위한 노력이 실패하는 여러 가지 원인을 피하는 방법을 알아봅니다.
Physics of Light and Materials
Rice University (via Coursera)
This second course serves as an introduction to the physics of waves and light. Upon completion, learners will understand how mathematical laws and conservation principles describe wave propagation and light in the context of both geometrical and physical optics. Learners will gain experience in solving physics problems with tools such as graphical analysis, algebra, vector analysis, and calculus. This second course covers Electromagnetic Plane Waves, the Fresnel Equations, and Polarization. Each of the two modules contains complete video lectures, conceptual quizzes, and a set of homework problems. Once the modules are completed, the course ends with an exam. This comprehensive course is similar in detail and rigor to those taught on-campus at Rice. It will thoroughly prepare learners for their upcoming introductory physics courses or more advanced courses in physics.
Principles of Computing (Part 2)
Rice University (via Coursera)
This two-part course introduces the basic mathematical and programming principles that underlie much of Computer Science. Understanding these principles is crucial to the process of creating efficient and well-structured solutions for computational problems. To get hands-on experience working with these concepts, we will use the Python programming language. The main focus of the class will be weekly mini-projects that build upon the mathematical and programming principles that are taught in the class. To keep the class fun and engaging, many of the projects will involve working with strategy-based games. In part 2 of this course, the programming portion of the class will focus on concepts such as recursion, assertions, and invariants. The mathematical portion of the class will focus on searching, sorting, and recursive data structures. Upon completing this course, you will have a solid foundation in the principles of computation and programming. This will prepare you for the next course in the specialization, which will begin to introduce a structured approach to developing and analyzing algorithms. Developing such algorithmic thinking skills will be critical to writing large scale software and solving real world computational problems.
Investment Strategies and Portfolio Analysis
Rice University (via Coursera)
In this course, you will learn about latest investment strategies and performance evaluation. You will start by learning portfolio performance measures and discuss best practices in portfolio performance evaluation. You will explore different evaluation techniques such as style analysis and attribution analysis and apply them to evaluate different investment strategies. Special emphasis will be given to recent financial market innovations and current investment trends. After this course, learners will be able to: • Describe performance measurement measures • Evaluate portfolio performance • Describe and contrast different investment strategies • Propose investment strategy solutions
Introduction to Archaeology: Knowing The Past
Rice University (via Coursera)
This course is an introduction to a series on the discipline of Archaeology. It is intended for learners at all stages, including advanced high school, college students, or life-long learners. Basic information about Archaeology and its history are presented in this course, while the following three courses cover scientific methods, forms of interpretation, and contemporary social issues that archaeologists engage with.
Writing Skills for Engineering Leaders
Rice University (via Coursera)
Engineering leaders must write extensively for their jobs, and their writing needs to be professional, reader-focused, and error-free. What leaders write in particular can affect productivity and the bottom line, so the written communication that leaders create must be clear and concise. In this course, you’ll learn essential writing skills that you can apply in your daily activities on the job as an engineering leader. You’ll learn key principles in • Approaching various engineering genres • Using the writing process to create quality documents • Making your writing structured • Making your writing clear and concise • Handling style, tone, and voice Selected materials courtesy of Communication Faculty at Rice University - all rights reserved.
Einführung in die Datenanalyse mit Excel
Rice University (via Coursera)
Die Verwendung von Excel ist in der Branche weit verbreitet. Es ist ein sehr leistungsfähiges Datenanalysetool und fast alle großen und kleinen Unternehmen verwenden Excel für ihre tägliche Arbeit. Dies ist ein Einführungskurs in die Verwendung von Excel, der Ihnen Kenntnisse in Excel vermitteln soll, um es später für weiterführende Themen in der Unternehmensstatistik verwenden zu können. Der Kurs ist so konzipiert, dass zwei Arten von Teilnehmern berücksichtigt werden – diejenigen, die nur sehr geringe funktionale Kenntnisse in Excel haben und diejenigen, die Excel regelmäßig, aber auf peripherer Ebene verwenden und ihre Fähigkeiten verbessern möchten. Der Kurs führt Sie von grundlegenden Vorgängen wie dem Einlesen von Daten in Excel mithilfe verschiedener Datenformate und dem Organisieren und Bearbeiten von Daten bis hin zu einigen der erweiterten Funktionen von Excel. Während der gesamten Zeit wird die Excel-Funktionalität anhand leicht verständlicher Beispiele vorgestellt, die so demonstriert werden, dass die Teilnehmer sie besser verstehen und anwenden können. Um Kursaufgaben erfolgreich abzuschließen, müssen die Teilnehmer Zugriff auf eine Windows-Version von Microsoft Excel 2010 oder höher haben. ________________________________________ WOCHE 1 Modul 1: Einführung in die Tabellenkalkulation Dieses Modul bietet eine Einführung in die Excel-Tabellenkalkulation und die verschiedenen grundlegenden Datenfunktionen von Excel. Zu den behandelten Themen gehören: • Einlesen von Daten in Excel in verschiedenen Formaten • Grundfunktionen in Excel, Arithmetik sowie verschiedene logische Funktionen • Formatieren von Zeilen und Spalten • Verwenden von Formeln in Excel und diese unter Verwendung absoluter und relativer Referenzierung kopieren und einfügen ________________________________________ WOCHE 2 Modul 2: Tabellenkalkulationsfunktionen zum Organisieren von Daten Dieses Modul führt verschiedene Excel-Funktionen zum Organisieren und Abfragen von Daten ein. Die Teiln...
Defining Diversity, Equity and Inclusion in Organizations
Rice University (via Coursera)
Defining Diversity, Equity, and Inclusion in Organizations is the first course of a four-course series. This course introduces the core definitions of diversity, equity, and inclusion and reasons why these efforts can often fail. We will also explore the elements for making the case for diversity and the concept of DE&I maturation where learners can assess their organization’s activities to determine where it may place on the DE&I continuum. By the end of this course, you will be able to: 1. Provide a common understanding of the terms diversity, equity and inclusion and how can it be effectively implemented into an organization. 2. Understand how our changing demography will impact your organization, discover various arguments used to make the case for diversity and connect them to your organization's success. 3. Recognize the various levels of diversity in the DE&I continuum and where your organization may be. 4. Identify the common struggles with implementing DE&I initiatives and how to avoid the many ways diversity efforts fail.
Mindfulness and Well-being: Foundations
Rice University (via Coursera)
This course provides a broad overview of the fundamental concepts, principles, and practices of mindfulness. With interactive exercises to help students explore their own attitudes, mental habits and behaviors, Foundations of Mindfulness offers a pathway for living with more freedom, authenticity and ease. Featured components of the course include experiential exercises, guided meditations, personal reflection and interactive discussions.
English and Academic Preparation - Grad Track
Rice University (via Coursera)
The English and Academic Preparation – Grad Track non-credit course is for students who wish to strengthen their academic skills in preparation for graduate studies. This certificate course is designed to help both domestic and international students communicate more effectively in spoken and written contexts, read and comprehend scholarly texts, and take notes more efficiently. Ideally, prospective students have completed or are near completion of a bachelor’s degree and would like to study for a master’s or doctorate degree in the United States. The total length of time required to complete the course is approximately 4 weeks. Students should expect to spend about 3-4 hours per week working with the materials and assignments. The course is made up of 4 modules: • Listening, Speaking, and Critical Thinking • Writer’s Workshop • Reading and Note-taking • Capstone Project Each module consists of video lessons, opportunities for practicing English and academic skills, interactive discussion boards with classmates, and graded activities. The course is asynchronous, which means that the lessons and their activities can be completed at any time of day or night.
조직적 다양성, 형평성, 포용성의 핵심 개념
Rice University (via Coursera)
조직적 다양성, 형평성, 포용성의 핵심 개념은 총 4강으로 구성된 시리즈 중 두 번째 강좌로, 다양성, 형평성, 포용성의 기본 원칙과 이러한 원칙이 조직 내 의사 결정에 미치는 영향을 살펴봅니다. 개념 자체는 일반적이지만, 이 과정에서는 차별에 대한 불만을 해결하고 조직 문화와 정책에 영향을 미치는 다양성, 형평성 및 포용성 프로그램을 제공한 경험이 있는 기회 균등 전문가의 고유한 시각을 통해 이러한 개념을 설명합니다. 이 과정에서는 1. 기회 균등, 편견, 권력, 특권 및 기타 주요 개념 등의 다양성, 형평성, 포용성의 기본 원칙을 연결하고 인식 연습을 통해 조직 내 행동을 변화시킬 수 있는 능력을 보여줍니다. 2. 인종차별이나 성차별과 같은 편견, 외국인 혐오증과 같은 공포증, 편견 및 기타 형태의 차별적 사고와 차별적 행동의 차이점을 알아보세요. 3. 편향, 편견, 고정관념이 조직의 의사 결정에 미치는 영향을 해결하고 제한하기 위한 방법으로 여러분과 직원이 문화적 역량을 활용할 수 있는 방법을 설명합니다. 4. 조직적 차별의 본질적인 요소는 무엇이며, 포용적인 조직을 만들기 위해 다양한 형태의 권력과 특권을 어떻게 관리해야 하는지 알아보세요.
The Role of Culture in Teaching English Learners
Rice University (via Coursera)
Culture and language are inextricably linked. As teachers, we are often faced with the challenge of teaching both language and elements of culture to our English learners. When these students join our classes, they come equipped with knowledge about their own culture, which may or may not have the same norms and values as the new one they find themselves in. It is not our job, as teachers, to prove that one culture is better than another. Instead, it’s our goal to understand how culture influences one’s identity, affirm our students’ identities in the classroom, and use best practices to teach intercultural communicative competence and promote acceptance and respect for those who are different from us. This course is designed for early career teachers (0-3 years of experience) to learn about the foundations of culture and the key role that culture plays in teaching English learners. You will also learn about the connection between language and culture and how to appropriately incorporate cultural topics into instruction. We will discuss how culture is an asset in the classroom and ways to celebrate diversity with students. Throughout this course, you will watch instructional videos and interviews with experienced teachers of English learners. You will read scholarly articles, participate in discussion boards, and complete assignments that will encourage you to think about your practices as a culturally responsive educator. Finally, you will complete this course with a treasure trove of practical tips for integrating culture into your classroom. By the end of this course, teachers will be better prepared to serve the English learners in their classrooms. They will be able to evaluate curriculum for cultural responsiveness, identify best practices for teaching and assessing intercultural communicative competence, reflect on their own cultural background and how that may influence expectations for students, and create a lesson plan to teach cultural knowledge.
Physics 102 - AC Circuits and Maxwell's Equations
Rice University (via Coursera)
This fourth course serves as an introduction to the physics of electricity and magnetism. Upon completion, learners will understand how mathematical laws and conservation principles describe fields and how these fields are related to electrical circuits. Learners will gain experience in solving physics problems with tools such as graphical analysis, algebra, vector analysis, and calculus. This fourth course covers AC circuits, Impedance, and Magnetism. Each of the two modules contains reading links to a free textbook, complete video lectures, conceptual quizzes, and a set of homework problems. Once the modules are completed, the course ends with an exam. This comprehensive course is similar in detail and rigor to those taught on-campus at Rice. It will thoroughly prepare learners for their upcoming introductory physics courses or more advanced courses in physics.
Anatomy & Physiology: Exchange and Energy
Rice University (via Coursera)
The course of the second A&P specialization continues a systems-based approach to human anatomy and physiology at the organ, organ system, and organism level. Two major body systems related to gas exchange and energy consumption will be explored in detail: the respiratory and digestive systems. Course material will cover both the structure (anatomy) and function (physiology) of each system with direct application to human development and disease. After completing this course, you will be able to: 1. Identify the major parts of the respiratory and digestive systems; 2. Describe normal human anatomy structure and function for the respiratory and digestive systems; 3. Relate anatomical structure and function at the cellular, tissue, organ, and body system levels to clinical diagnoses and dysfunction of the respiratory and digestive systems.
The Fundamentals of Computing Capstone Exam
Rice University (via Coursera)
While most specializations on Coursera conclude with a project-based course, students in the "Fundamentals of Computing" specialization have completed more than 20+ projects during the first six courses of the specialization. Given that much of the material in these courses is reused from session to session, our goal in this capstone class is to provide a conclusion to the specialization that allows each student an opportunity to demonstrate their individual mastery of the material in the specialization. With this objective in mind, the focus in this Capstone class will be an exam whose questions are updated periodically. This approach is designed to help insure that each student is solving the exam problems on his/her own without outside help. For students that have done their own work, we do not anticipate that the exam will be particularly hard. However, those students who have relied too heavily on outside help in previous classes may have a difficult time. We believe that this approach will increase the value of the Certificate for this specialization.
An Introduction to Interactive Programming in Python (Part 2)
Rice University (via Coursera)
This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple. These applications will involve windows whose contents are graphical and respond to buttons, the keyboard and the mouse. In part 2 of this course, we will introduce more elements of programming (such as list, dictionaries, and loops) and then use these elements to create games such as Blackjack. Part 1 of this class will culminate in building a version of the classic arcade game "Asteroids". Upon completing this course, you will be able to write small, but interesting Python programs. The next course in the specialization will begin to introduce a more principled approach to writing programs and solving computational problems that will allow you to write larger and more complex programs.
Physics 102 - Electric Charges and Fields
Rice University (via Coursera)
This first course serves as an introduction to the physics of electricity and magnetism. Upon completion, learners will understand how mathematical laws and conservation principles describe fields and how these fields are related to electrical circuits. Learners will gain experience in solving physics problems with tools such as graphical analysis, algebra, vector analysis, and calculus. This first course covers Charge, Electric Forces, and Electric Fields. Each of the three modules contains reading links to a free textbook, complete video lectures, conceptual quizzes, and a set of homework problems. Once the modules are completed, the course ends with an exam. This comprehensive course is similar in detail and rigor to those taught on-campus at Rice. It will thoroughly prepare learners for their upcoming introductory physics courses or more advanced courses in physics.
Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions
Rice University (via Coursera)
The ability to understand and apply Business Statistics is becoming increasingly important in the industry. A good understanding of Business Statistics is a requirement to make correct and relevant interpretations of data. Lack of knowledge could lead to erroneous decisions which could potentially have negative consequences for a firm. This course is designed to introduce you to Business Statistics. We begin with the notion of descriptive statistics, which is summarizing data using a few numbers. Different categories of descriptive measures are introduced and discussed along with the Excel functions to calculate them. The notion of probability or uncertainty is introduced along with the concept of a sample and population data using relevant business examples. This leads us to various statistical distributions along with their Excel functions which are then used to model or approximate business processes. You get to apply these descriptive measures of data and various statistical distributions using easy-to-follow Excel based examples which are demonstrated throughout the course. To successfully complete course assignments, students must have access to Microsoft Excel. ________________________________________ WEEK 1 Module 1: Basic Data Descriptors In this module you will get to understand, calculate and interpret various descriptive or summary measures of data. These descriptive measures summarize and present data using a few numbers. Appropriate Excel functions to do these calculations are introduced and demonstrated. Topics covered include: • Categories of descriptive data • Measures of central tendency, the mean, median, mode, and their interpretations and calculations • Measures of spread-in-data, the range, interquartile-range, standard deviation and variance • Box plots • Interpreting the standard deviation measure using the rule-of-thumb and Chebyshev’s theorem ________________________________________ WEEK 2 Module 2: Descriptive Measures of Association, P...
Physics 101 - Energy and Momentum
Rice University (via Coursera)
This second course serves as an introduction to the physics of mechanical energy and momentum. Upon completion, learners will understand how mathematical laws and conservation principles describe the motions and interactions of objects around us. Learners will gain experience in solving physics problems with tools such as graphical analysis, algebra, vector analysis, and calculus. This first course covers Energy, Translational Momentum, Collisions, Statics, and Elasticity. Each of the three modules contains reading links to a free textbook, complete video lectures, conceptual quizzes, and a set of homework problems. Once the modules are completed, the course ends with an exam. This comprehensive course is similar in detail and rigor to those taught on-campus at Rice. It will thoroughly prepare learners for their upcoming introductory physics courses or more advanced courses in physics.
Interpersonal Communication for Engineering Leaders
Rice University (via Coursera)
This course covers communication skills that engineering leaders use every day to motivate, inspire, and support the people in their organizations. Speaking and writing are basic leadership communication skills. (We covered these topics in the Specialization course 1 and 3.) However, leaders also need to be skillful interpersonal communicators. Modern business requires communication skills that are effective across cultures, generations, and genders. Communication is also a key skill in building your personal brand. Leaders need to look, act, and speak like leaders. Another important leadership skill is the ability to handle difficult, emotional communications with employees, supervisors, and colleagues. Finally, engineers are often at the center of crisis communication. In this course, you will learn 1. How to communicate in a global environment, 2. How to communicate across cultures, generations, and genders 3. How to use communication to build your personal brand, communicate your values, and your leadership promise 4. How to handle high-stakes, emotionally charged, difficult conversations with employees, supervisors and your colleagues 5. How to handle crisis communication Required Material Disclaimer- The purchase of a case study is necessary to complete this course, as it is tied to an assessment. This case is an excellent illustration of the typical business situations requiring skillful handling of difficult conversations. Currently, the cost associated with this case study is $8.95 USD and is subject to change. Selected materials courtesy of Communiation Faculty at Rice University - all rights reserved.
Medical Terminology III
Rice University (via Coursera)
This final course finishes the comprehensive examination of medical terminology by introducing new roots, terms, and abbreviations related to the remaining body systems: nervous (brain, spinal cord, and nerves) and special senses (eyes and ears), digestive, and reproductive.
Best Practices in Planning DE&I Interventions
Rice University (via Coursera)
Best practices in Planning DE&I Interventions presents a “how-to,” step-by-step approach to planning around and executing diversity initiatives. From recruitment, retention, and training, this module addresses issues such as what do you do when your organization is not ready for DE&I, to how to turn principle concepts of DE&I into practical application and desired deliverables. By the end of this course, you will be able to: 1. Understand the challenges of DE&I strategic planning and how to create and how to create a process that will help you achieve your DE&I goals. 2. Explore strategies to better recruit underrepresented talent by implementing a DE&I recruitment process that is intentional and legally compliant. 3. Examine your DE&I retention programming to learn of new efforts that will retain employees. 4. Identify the common struggles with implementing DE&I training and what you can do to support a successful training initiative.
Anatomy & Physiology: Support & Movement
Rice University (via Coursera)
The second course begins the systems-based approach to human anatomy and physiology at the organ, organ system, and organism level. Three major body systems related to support and movement will be explored in detail: the skeletal and muscular systems. Course material will cover both the structure (anatomy) and function (physiology) of each system with direct application to human development and disease.
Anatomy & Physiology: Regulation, Integration, & Control
Rice University (via Coursera)
This course continues the systems-based approach to human anatomy and physiology at the organ, organ system, and organism level. Two major body systems related to regulation and integration of information will be explored in detail: the nervous and endocrine systems. Course material will cover both the structure (anatomy) and function (physiology) of each system with direct application to human development and disease.
Data Analysis for Managerial Decision-Making
Rice University (via Coursera)
This course will equip students with the quantitative skills needed to begin any Masters of Business Administration program. The goal is not to build foundational skills or expert mastery but rather, to provide some middle ground to “shake the rust off” skills that a typical MBA student probably knows, but may not have thought about for quite some time. The course provides a quick refresher on top level math and statistics concepts that will be used throughout the MBA curriculum at any school. All of the concepts will be reinforced with practical real-world examples. All calculations, formulas, and data analysis will be performed in Excel, with many detailed demonstrations. For those unfamiliar or less comfortable with spreadsheets, the course will also prepare students with a basic facility for using spreadsheets to solve quantitative business problems. This course has no prerequisites and is intended for any audience.
Accounting for Non-Finance Professionals
Rice University (via Coursera)
Financial statements are a key source of information about the economic activities of a firm. This course is a primer on the construction and basic interpretation of financial statements that should provide learners with a rudimentary understanding of the types of information included in the four primary financial statements: balance sheet, income statement, cash flow statement, and statement of stockholders equity. We will spend time recording transactions using accounting terminology and then building financial statements from those transactions to provide you with an understanding of how and why transactions influence the various financial statements. We will focus on the language of accounting including such terms as the accounting equation, debits and credits, T-accounts, journal entries, accruals versus cash flows, and more. By the end of the course learners will be able to understand the basic differences and similarities of the four financial statements, and will have developed a solid foundation to build upon in an introductory financial accounting course at the MBA level. It is ideally suited for those learners that have never taken a financial accounting course before, as well as for those students who would like to refresh their understanding of basic financial accounting concepts.
Concurrent Programming in Java
Rice University (via Coursera)
This course teaches learners (industry professionals and students) the fundamental concepts of concurrent programming in the context of Java 8. Concurrent programming enables developers to efficiently and correctly mediate the use of shared resources in parallel programs. By the end of this course, you will learn how to use basic concurrency constructs in Java such as threads, locks, critical sections, atomic variables, isolation, actors, optimistic concurrency and concurrent collections, as well as their theoretical foundations (e.g., progress guarantees, deadlock, livelock, starvation, linearizability). Why take this course? • It is important for you to be aware of the theoretical foundations of concurrency to avoid common but subtle programming errors. • Java 8 has modernized many of the concurrency constructs since the early days of threads and locks. • During the course, you will have online access to the instructor and mentors to get individualized answers to your questions posted on the forums. • Each of the four modules in the course includes an assigned mini-project that will provide you with the necessary hands-on experience to use the concepts learned in the course on your own, after the course ends. The desired learning outcomes of this course are as follows: • Concurrency theory: progress guarantees, deadlock, livelock, starvation, linearizability • Use of threads and structured/unstructured locks in Java • Atomic variables and isolation • Optimistic concurrency and concurrent collections in Java (e.g., concurrent queues, concurrent hashmaps) • Actor model in Java Mastery of these concepts will enable you to immediately apply them in the context of concurrent Java programs, and will also help you master other concurrent programming system that you may encounter in the future (e.g., POSIX threads, .NET threads).
Algorithmic Thinking (Part 2)
Rice University (via Coursera)
Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This two-part class is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to computational problems. In part 2 of this course, we will study advanced algorithmic techniques such as divide-and-conquer and dynamic programming. As the central part of the course, students will implement several algorithms in Python that incorporate these techniques and then use these algorithms to analyze two large real-world data sets. The main focus of these tasks is to understand interaction between the algorithms and the structure of the data sets being analyzed by these algorithms. Once students have completed this class, they will have both the mathematical and programming skills to analyze, design, and program solutions to a wide range of computational problems. While this class will use Python as its vehicle of choice to practice Algorithmic Thinking, the concepts that you will learn in this class transcend any particular programming language.
Fundamentals of Immunology: Complement, MHC I and II, T Cells, and Cytokines
Rice University (via Coursera)
Course 2 is a four-course specialization called Fundamentals of Immunology. Each course in the specialization presents material that builds on the previous course's material. This is the second half of the journey through the defenses your body uses to keep you healthy. In the first part we learned about innate immunity and B cell function. The second part covers T cell function and coordination of the immune response. Fundamentals of Immunology: Complement, MHC I and II, T Cells, and Cytokines builds on the first course to describe the functions of Complement, MHC presentation to T cells, T cell development and signaling. The early lectures survey cells, tissues and organs using metaphors, cartoons and models to improve understanding and retention. This course includes the structure of both MHC proteins and T cell receptors and the sources of variation. The course provides animations of gene rearrangement, developmental processes and signal cascades. Testing employs multiple choice questions testing facts, concepts, and application of principles. Questions may refer to diagrams, drawing and photographs used in lecture and reproduced in the outline. What You’ll Learn: How complement uses adaptive and innate triggers to target pathogens. The detailed structure and coding of MHC proteins and both alpha-beta and gamma delta receptors and how these proteins interact to initiate an adaptive immune response. The basics of signaling, and the varieties of external receipt and internal activation pathways. We bine the process of putting together how signals and crosstalk control the activity of the immune system.
Engineering Project Management: Initiating and Planning
Rice University (via Coursera)
The goal of the course is to give you the tools to initiate a project plan, manage both stakeholders and relationships, organize their team, develop a project charter, and build a business case for a project. By the end of this course you will be able to: Perform a project assessment using information from previous projects and lessons learned Identify key deliverables based on business requirements while managing customer expectations Perform a stakeholder analysis and create a management plan Analyze and develop a project organization Create a project charter Explain the business case for a project and calculate Net Present Value Inform stakeholders of the charter and ensure all parties know the deliverables and expectations As part of the course, you will prepare organization charts, create a Stakeholder Register, and write a Project Charter based on an engineering project in a provided Case Study. The Stakeholder Register will outline the key parties to the project, their concerns and how you will manage their expectations. Your Project Charter will provide the key guidance your team needs to understand the scope, requirements and purpose for the project. All of this will position you for initiating and planning your first project and/or understanding how you can maximize your contributions on your next project team. Rice Center for Engineering Leadership is a Registered Education Provider through the Project Management Institute (PMI)®. Learners who complete this course on the Certificate track will be awarded 12 hours of Profession Development Units. These are recognized by PMI for continuing education or can be applied toward the 35 hours of education required for the Project Management Professional (PMP)® certification. PMI and PMP are registered marks of the Project Management Institute, Inc.
Personal Leadership Development Planning and Leading High Performing Teams
Rice University (via Coursera)
An actionable leadership improvement plan enables you to leverage strengths and close the gaps on weaknesses. In this course, you will build your own plan that you can put into practice immediately and realize goals within the next two years. It lays the foundation for an evergreen process of selection and prioritization of skills, and action planning for sustained leadership development.
An Introduction to Interactive Programming in Python (Part 1)
Rice University (via Coursera)
This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple. These applications will involve windows whose contents are graphical and respond to buttons, the keyboard and the mouse. In part 1 of this course, we will introduce the basic elements of programming (such as expressions, conditionals, and functions) and then use these elements to create simple interactive applications such as a digital stopwatch. Part 1 of this class will culminate in building a version of the classic arcade game "Pong".
America Through Foreign Eyes
Rice University (via Coursera)
The United States has always been a source of fascination — both attraction and repulsion — for the people of France, Mexico, China, Russia, and African countries such as Nigeria, Ghana, and Sudan. "America Through Foreign Eyes" is a rich, interdisciplinary, international course that features Rice University faculty from a variety of disciplines and area studies. Focused on perceptions of America abroad, the course is a cross between World Cultures and American Studies. The course features five core modules, each covering the perceptions and interactions of particular regions with America, Americans and Americanization.
Python Programming Essentials
Rice University (via Coursera)
This course will introduce you to the wonderful world of Python programming! We'll learn about the essential elements of programming and how to construct basic Python programs. We will cover expressions, variables, functions, logic, and conditionals, which are foundational concepts in computer programming. We will also teach you how to use Python modules, which enable you to benefit from the vast array of functionality that is already a part of the Python language. These concepts and skills will help you to begin to think like a computer programmer and to understand how to go about writing Python programs. By the end of the course, you will be able to write short Python programs that are able to accomplish real, practical tasks. This course is the foundation for building expertise in Python programming. As the first course in a specialization, it provides the necessary building blocks for you to succeed at learning to write more complex Python programs. This course uses Python 3. While many Python programs continue to use Python 2, Python 3 is the future of the Python programming language. This first course will use a Python 3 version of the CodeSkulptor development environment, which is specifically designed to help beginning programmers learn quickly. CodeSkulptor runs within any modern web browser and does not require you to install any software, allowing you to start writing and running small programs immediately. In the later courses in this specialization, we will help you to move to more sophisticated desktop development environments.
Финансы для нефинансистов
Rice University (via Coursera)
Этот короткий курс посвящен всем основным темам, рассмотренным в ходе полного семестрового курса по финансированию уровня MBA, но с более интуитивным подходом на очень высоком концептуальном уровне. Цель — предоставить вам план и схему принятия решений финансовыми специалистами. Мы рассмотрим основы финансовой оценки, стоимость денег во времени, составляющие доходы и дисконтирование на будущее. Вы поймете оценку дисконтированного денежного потока (ДДП) и то, как он сравнивается с другими методами. Мы также вступаем в сознательный круг корпоративного финансового руководителя и разрабатываем основные инструменты планирования капитальных вложений. Мы обсудим, как, когда и где потратить деньги, а также определим компромиссы в отношении инвестиций, роста, дивидендов и обеспечения надежной финансовой дисциплины. Наш путь затем переходит к перспективе инвестиций на Уолл-стрит или на рынки капитала, поскольку мы обсуждаем фундаментальный компромисс между риском и доходностью. Затем мы обобщаем наше обсуждение рисков с системой оценки и внедряем его в серию прямых заявлений для практики. Данный курс не требует предварительного ознакомления с финансами. Напротив, это первый шаг для всех, кто интересуется пониманием фондовых рынков, оценки или корпоративных финансов. Мы вместе рассмотрим все инструменты и количественный анализ и разработаем руководство по пониманию сложных на первый взгляд решений, которые принимают финансовые специалисты. К концу курса вы получите представление об основных концептуальных рычагах, которые продвигают и стимулируют принятие финансовых решений, а также о том, как они связаны с другими сферами бизнеса. Данный курс также должен служить дорожной картой для дальнейшего обучения в области финансов, и это будет отличным началом для студентов, которые рассматривают возможность получения степени магистра по MBA (магистр делового администрирования) или финансам, но у которых мало опыта работы в этой области.
Portfolio Selection and Risk Management
Rice University (via Coursera)
When an investor is faced with a portfolio choice problem, the number of possible assets and the various combinations and proportions in which each can be held can seem overwhelming. In this course, you’ll learn the basic principles underlying optimal portfolio construction, diversification, and risk management. You’ll start by acquiring the tools to characterize an investor’s risk and return trade-off. You will next analyze how a portfolio choice problem can be structured and learn how to solve for and implement the optimal portfolio solution. Finally, you will learn about the main pricing models for equilibrium asset prices. Learners will: • Develop risk and return measures for portfolio of assets • Understand the main insights from modern portfolio theory based on diversification • Describe and identify efficient portfolios that manage risk effectively • Solve for portfolio with the best risk-return trade-offs • Understand how risk preference drive optimal asset allocation decisions • Describe and use equilibrium asset pricing models.
Fundamentals of Immunology: Innate Immunity and B-Cell Function
Rice University (via Coursera)
Course 1 of a four course specialization called Fundamentals of Immunology: Innate Immunity and B-cell Function. Each course in the specialization presents material that builds on the previous course's material. This is the first leg of a four-part journey through the defenses your body uses to keep you healthy. In this part, we hope to give you the vocabulary and concepts you need to interact with the medical community and provide them with a context that makes them memorable. Fundamentals of Immunology: Innate Immunity and B-cell Function introduces students to the basic functions of the adaptive and innate immune systems. The early lectures survey cells, tissues, and organs using metaphors, cartoons, and models to improve understanding and retention. After describing the form, function, origin, and varieties of antibodies, subsequent lectures provide details on the mechanism of the generation of variation. The course provides animations of gene rearrangement and class switching and descriptions of affinity maturation correlated with detailed physical models of antibody structure. The final lecture reviews these concepts in an anatomical context. Testing employs multiple choice questions testing facts, concepts, and application of principles. Questions may refer to diagrams, drawings, and photographs used in the lecture and reproduced in the outline. What You’ll Learn: The difference between adaptive and innate immune systems, the characteristics of various pathogens that they protect you from, and the overall strategies employed in this protection. The detailed structure of antibodies and related immunoglobulin receptors, the characteristics and function of the different antibody classes, and the mechanism for producing both the recognition regions and stem regions. Finally, how these structures are coded for in the DNA and expressed in the B cells.
Principles of Economics: Microeconomics - Down to Business
Rice University (via Coursera)
In this second portion of the three-course specialization covering economics, we're going to be focusing on Microeconomics or the business side of things. This course is also based heavily on my ECON 100 course that I teach here at Rice University. Through lectures, short quizzes, problem sets, and discussions we're going to take a look at subjects such as, costs of production, perfect competition, monopolies, monopolistic competition, oligopolies, and household choices. And you'll still get all the unsolicited food and cooking advice sprinkled in there too :) Although this course is intended for anyone with an interest in economics, we will occasionally be using some basic math. I would also recommend that you take the first course, "A Story of Economics: Getting to Know You" before enrolling in this course. Things you should learn by the end of this course: 1. Identify how Opportunity Costs affect economic decisions. 2. Identify how economic decision makers compare marginal benefits to marginal costs to make optimal choices. 3. In a graph, identify the gains from trade. 4. Describe the relationship between prices, market demand, and market supply. 5. Calculate and interpret the meaning of an elasticity coefficient. 6. Evaluate the effects of government policy on supply and demand. 7. Calculate and interpret the meaning of market efficiency. 8. Evaluate the effects of externalities and the policies associated with them, and identify how they are related to different types of goods. 9. Identify the costs of production and interpret their shapes. 10. Communicate how different degrees of competition in a market affect pricing and output. 11. Identify the prisoner’s dilemma in the context of an application. 12. Explain the interaction between budget constraints and indifference curves.
Business Applications of Hypothesis Testing and Confidence Interval Estimation
Rice University (via Coursera)
Confidence intervals and Hypothesis tests are very important tools in the Business Statistics toolbox. A mastery over these topics will help enhance your business decision making and allow you to understand and measure the extent of ‘risk’ or ‘uncertainty’ in various business processes. This is the third course in the specialization "Business Statistics and Analysis" and the course advances your knowledge about Business Statistics by introducing you to Confidence Intervals and Hypothesis Testing. We first conceptually understand these tools and their business application. We then introduce various calculations to constructing confidence intervals and to conduct different kinds of Hypothesis Tests. These are done by easy to understand applications. To successfully complete course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later. Please note that earlier versions of Microsoft Excel (2007 and earlier) will not be compatible to some Excel functions covered in this course. WEEK 1 Module 1: Confidence Interval - Introduction In this module you will get to conceptually understand what a confidence interval is and how is its constructed. We will introduce the various building blocks for the confidence interval such as the t-distribution, the t-statistic, the z-statistic and their various excel formulas. We will then use these building blocks to construct confidence intervals. Topics covered include: • Introducing the t-distribution, the T.DIST and T.INV excel functions • Conceptual understanding of a Confidence Interval • The z-statistic and the t-statistic • Constructing a Confidence Interval using z-statistic and t-statistic WEEK 2 Module 2: Confidence Interval - Applications This module presents various business applications of the confidence interval including an application where we use the confidence interval to calculate an appropriate sample size. We also introduce with an application, the confidence interval for...
Introduction to Data Analysis Using Excel
Rice University (via Coursera)
The use of Excel is widespread in the industry. It is a very powerful data analysis tool and almost all big and small businesses use Excel in their day to day functioning. This is an introductory course in the use of Excel and is designed to give you a working knowledge of Excel with the aim of getting to use it for more advance topics in Business Statistics later. The course is designed keeping in mind two kinds of learners - those who have very little functional knowledge of Excel and those who use Excel regularly but at a peripheral level and wish to enhance their skills. The course takes you from basic operations such as reading data into excel using various data formats, organizing and manipulating data, to some of the more advanced functionality of Excel. All along, Excel functionality is introduced using easy to understand examples which are demonstrated in a way that learners can become comfortable in understanding and applying them. To successfully complete course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later. ________________________________________ WEEK 1 Module 1: Introduction to Spreadsheets In this module, you will be introduced to the use of Excel spreadsheets and various basic data functions of Excel. Topics covered include: • Reading data into Excel using various formats • Basic functions in Excel, arithmetic as well as various logical functions • Formatting rows and columns • Using formulas in Excel and their copy and paste using absolute and relative referencing ________________________________________ WEEK 2 Module 2: Spreadsheet Functions to Organize Data This module introduces various Excel functions to organize and query data. Learners are introduced to the IF, nested IF, VLOOKUP and the HLOOKUP functions of Excel. Topics covered include: • IF and the nested IF functions • VLOOKUP and HLOOKUP • The RANDBETWEEN function ________________________________________ WEEK 3 Module 3: Introduction to...
Financial Accounting
Rice University (via edX)
Financial Accounting
NULLAP® Biology - Part 1: The Cell
Rice University (via edX)
NULLAP® Biology - Part 1: The Cell
AP® Biology - Part 1: The Cell
Rice University (via edX)
AP® Biology - Part 1: The Cell
AP® Biology - Part 2: Genetics
Rice University (via edX)
AP® Biology - Part 2: Genetics
AP® Biology - Part 3: Evolution & Diversity
Rice University (via edX)
AP® Biology - Part 3: Evolution & Diversity
Spanish for Successful Communication in Healthcare Settings
Rice University (via Coursera)
Welcome to Spanish for Successful Communication in Healthcare Settings! This course is structured in four modules, each one revolving on a topic related to the physician-patient interaction. Each module contains four lessons; on grammar, vocabulary, the dynamics of the spoken interaction, and aspects of sociocultural relevance. The video lessons are unlike regular “lectures” in which you are just listening. Instead, you should think of them as virtual classes where you are supposed to reflect, complete activities, and even get extra practice on your own time. The videos are a roadmap that will provide what you need to complete the activities on the student handout. Each module is followed by a 10-question quiz. It is important that you complete the lessons sequentially, as they build upon each other.
AP® Biology - Part 4: Ecology
Rice University (via edX)
AP® Biology - Part 4: Ecology
AP® Biology - Part 5: AP Exam Review
Rice University (via edX)
AP® Biology - Part 5: AP Exam Review
AP® Biology
Rice University (via edX)
AP® Biology
Preparing for the AP Calculus AB Exam - Part 1: Derivatives
Rice University (via edX)
Preparing for the AP Calculus AB Exam - Part 1: Derivatives
Finance for Non-Finance Professionals
Rice University (via Coursera)
This short course surveys all the major topics covered in a full semester MBA level finance course, but with a more intuitive approach on a very high conceptual level. The goal here is give you a roadmap and framework for how financial professional make decisions. We will cover the basics of financial valuation, the time value of money, compounding returns, and discounting the future. You will understand discounted cash flow (DCF) valuation and how it compares to other methods. We also step inside the mind of a corporate financial manager and develop the basic tools of capital budgeting. We will survey the how, when, and where to spend money, make tradeoffs about investment, growth, dividends, and how to ensure sound fiscal discipline. Our journey then turns to a Wall Street or capital markets perspective of investments as we discuss the fundamental tradeoff between risk and return. We then synthesize our discussion of risk with our valuation framework and incorporate it into series of direct applications to practice. This course requires no prior familiarity with finance. Rather, it is intended to be a first step for anyone who is curious about understanding stock markets, valuation, or corporate finance. We will walk through all of the tools and quantitative analysis together and develop a guide for understanding the seemingly complex decisions that finance professionals make. By the end of the course, you will develop an understanding of the major conceptual levers that push and pull on financial decision making and how they relate to other areas of business. The course should also serve as a roadmap for where to further your finance education and it would be an excellent introduction of any students contemplating an MBA or Finance concentration, but who has little background in the area.
AP Calculus AB – Part 1: Derivatives
Rice University (via edX)
AP Calculus AB – Part 1: Derivatives
Preparing for the AP Calculus AB Exam - Part 2: Integrals
Rice University (via edX)
Preparing for the AP Calculus AB Exam - Part 2: Integrals
Preparing for the AP Calculus AB Exam
Rice University (via edX)
Preparing for the AP Calculus AB Exam
AP® Environmental Science - Part 1: The Living World
Rice University (via edX)
AP® Environmental Science - Part 1: The Living World
AP® Environmental Science
Rice University (via edX)
AP® Environmental Science
Fundamentals of Immunology: Dueling with Pathogens and Cancer
Rice University (via Coursera)
Course four, Fundamentals of Immunology: Dueling with Pathogens and Cancer, covers the constant battle between your immune system and threats to your health. The first two lectures discuss viral and cellular pathogens, focusing on specific tactics they use to deflect immune attacks. Next, a cheerier lecture describes other immune-based therapies, beginning with engineered antibodies to treat specific diseases. This lecture continues with vaccine development (viral-engineered, killed, RNA-component vaccines, and more) and adjuvant function and ends with vaccination strategies, including herd immunity and resisting the anti-vaccination movement. The last two lectures cover immune deficiencies and how cancer evades the immune system, concluding with advances in using immune therapies (antibodies and CAR T cells) to cure cancer.
AP® Environmental Science - Part 2: Populations
Rice University (via edX)
AP® Environmental Science - Part 2: Populations
AP® Environmental Science - Part 3: Pollution
Rice University (via edX)
AP® Environmental Science - Part 3: Pollution
Algorithmic Thinking (Part 1)
Rice University (via Coursera)
Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This two-part course builds on the principles that you learned in our Principles of Computing course and is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to real-world computational problems. In part 1 of this course, we will study the notion of algorithmic efficiency and consider its application to several problems from graph theory. As the central part of the course, students will implement several important graph algorithms in Python and then use these algorithms to analyze two large real-world data sets. The main focus of these tasks is to understand interaction between the algorithms and the structure of the data sets being analyzed by these algorithms. Recommended Background - Students should be comfortable writing intermediate size (300+ line) programs in Python and have a basic understanding of searching, sorting, and recursion. Students should also have a solid math background that includes algebra, pre-calculus and a familiarity with the math concepts covered in "Principles of Computing".
AP® Environmental Science - Part 4: Exam Review
Rice University (via edX)
AP® Environmental Science - Part 4: Exam Review
AP® Physics 1 - Part 1: Linear Motion
Rice University (via edX)
AP® Physics 1 - Part 1: Linear Motion
AP® Physics 1 - Part 2: Rotational Motion
Rice University (via edX)
AP® Physics 1 - Part 2: Rotational Motion
AP® Physics 1 - Part 3: Electricity and Waves
Rice University (via edX)
AP® Physics 1 - Part 3: Electricity and Waves
AP® Physics 1 - Part 4: Exam Prep
Rice University (via edX)
AP® Physics 1 - Part 4: Exam Prep
Topics in AP Physics
Rice University (via edX)
Topics in AP Physics
AP® Physics 2 - Part 1: Fluids and Thermodynamics
Rice University (via edX)
AP® Physics 2 - Part 1: Fluids and Thermodynamics
AP® Physics 2 - Part 2: Electricity and Magnetism
Rice University (via edX)
AP® Physics 2 - Part 2: Electricity and Magnetism
AP® Physics 2 - Part 3: Optics and Modern Physics
Rice University (via edX)
AP® Physics 2 - Part 3: Optics and Modern Physics
AP® Physics 2 - Part 4: Exam Review
Rice University (via edX)
AP® Physics 2 - Part 4: Exam Review
AP® Physics 2
Rice University (via edX)
AP® Physics 2
Key Concepts in Organizational DE&I
Rice University (via Coursera)
Key Concepts in Organizational DE&I is the second course of a four-course series and explores the foundational principles of DE&I and how they often impact decision-making within organizations. While these concepts are common, this course presents them through the unique lens of an equal opportunity professional with experience resolving complaints of discrimination and delivering DE&I programming to influence organizational culture and policy. By the end of this course, you will able to: 1. Demonstrate the ability to link the foundational principles of DEI (equal opportunity, bias, power, privilege and other key concepts) and use awareness exercises to change behavior within your organization. 2. Identify the difference between ist (such as racist or sexist), phobias (such as Xenophobia), bias, and other forms of discriminatory thinking from discriminatory behavior. 3. Describe ways that you and your employees can use cultural competence as a way to address and limit the impact of bias, prejudice and stereotypes on organizational decision making. 4. Describe the essential elements of systemic discrimination and how different forms of power and privilege must be managed to create inclusive organizations.
Rice University Digital Marketing Boot Camp
Rice University (via edX)
Rice University Digital Marketing Boot Camp
Rice University Cybersecurity Boot Camp
Rice University (via edX)
Rice University Cybersecurity Boot Camp
Rice University Data Analytics and Visualization Boot Camp
Rice University (via edX)
Rice University Data Analytics and Visualization Boot Camp
Using Educational Technology with English Learners
Rice University (via Coursera)
This course is designed for early career teachers to learn about evaluating and incorporating technology into the classroom to engage students, especially English learners (ELs). Teachers face the challenging expectation of helping ELs achieve grade-level standards and to develop additional 21st century skills, including citizenship, collaboration, creativity, communication, character, and critical thinking. Selecting and utilizing appropriate, high-quality educational technology as part of the learning process can motivate students and facilitate academic success. Throughout the course, we will raise awareness of special linguistic, cultural, and pedagogical considerations for using educational technology with English learners. Teachers will apply best practices to select and use educational technology effectively, and evaluate online educational tools and resources for classroom adoption. Course participants will watch interviews with highly-experienced English as a Second Language (ESL) teachers who will share their personal experiences of utilizing technology to teach 21st century skills to English learners. Teachers will interact with peers in the educational field to discuss how to apply course concepts in their own teaching environment. Finally, course participants will receive practical, classroom-ready recommendations for helping ELs develop 21st century skills using technology. By participating in this course, teachers will increase their own digital literacy skills and be better prepared to serve the English learners in their classrooms through educational technology.
Rice University FinTech Boot Camp
Rice University (via edX)
Rice University FinTech Boot Camp