Dartmouth College
Public University • US
Showing 87 courses from Dartmouth College
Engineering of Structures: Compression
Dartmouth College (via Coursera)
This course deals with compression. When we push an object, it compresses. Compression is what's going to hold up our building. Arches, vaults, domes, and anti-funicular forms help resist compression. In this course, you will learn about different columns and arches and their role in resisting compression. You'll also build anti-funicular forms. The first module introduces you to the topic compression and familiarizes you with the key terms related to compression. The second module deals with topics such as columns, arches, and other anti-funicular forms. It explores their roles in resisting compression. The final module explores how to build anti-funicular forms.
Superbosses: Managing Talent & Leadership
Dartmouth College (via Coursera)
How can a company thrive for the long term? It always comes down to people: finding talented people, retaining those people, and doing it continuously. In this course, Professor Sydney Finkelstein will teach participants how to support and leverage their biggest asset, the people around them. By learning to find world-class talent and help them move forward in their career, you will learn to build success for your organization and yourself. Using examples like the NFL’s Bill Walsh, the Slow Food Movement’s Alice Waters, and fashion’s Ralph Lauren, Professor Finkelstein shows that superbosses can be found across industries and up and down the org chart—and teaches us to find the superboss within.
Foundations for Machine Learning
Dartmouth College (via Coursera)
This course provides a practical and theoretical tour of the most essential probability distributions that are most often used for modern machine learning and data science. We will explore the fundamental building blocks for modeling discrete events (Bernoulli, binomial, multinomial distributions) and continuous quantities (Gaussian distribution) and discuss the implications of Bayes Theorem. Moreover, we will discuss two perspectives in estimating the model parameters, namely Bayesian perspective and frequentist perspective and learn how to reason about uncertainty in model parameters themselves using the powerful beta and Dirichlet distributions for Bayesian perspective and maximum likelihood estimate for frequentist perspective. By the end of this course, you will have a fluent command of the mathematical "language" needed to understand, build, and interpret probabilistic models.
Simulation for Digital Transformation
Dartmouth College (via Coursera)
Discover how to tackle complex challenges with Simulation for Digital Transformation. Learn to use Python and SimPy to model, analyze, and optimize systems, empowering you to make data-driven decisions and lead impactful digital transformation initiatives with Dartmouth Thayer School of Engineering faculty Vikrant Vaze and Reed Harder. What you'll learn: 1. Master Discrete Event Simulation: Develop and implement event-driven simulation models in Python using tools like SimPy to analyze and optimize real-world systems. 2. Generate Random Variables: Apply techniques like the inversion and rejection methods to simulate uncertainty and model complex scenarios effectively. 3. Design Trustworthy Simulations: Learn how to validate, verify, and refine simulation models to ensure accurate and actionable decision-making results. 4. Optimize Complex Systems: Use simulation to efficiently improve workflows, allocate resources, and evaluate multi-objective solutions in diverse industries. 5. Bridge Predictive and Prescriptive Analytics: Leverage simulation as a tool to predict outcomes and recommend optimal strategies in dynamic environments.
Reflections from 40 Years Fighting International Epidemics
Dartmouth College (via Coursera)
Reflections on patients, policies, pan-epidemics, prose and medical humanities from a 40-year career fighting epidemics around the world by an infectious disease public health physician. Examples include HIV/AIDS, Anthrax, SARS, MERS, H5N1 and H1N1 influenza, Nipah, Ebola (with MSF 2014), Zika, Plague (with WHO 2017) and COVID-19. Working side-by-side with international colleagues to provide hands-on patient care and to share stories is an expression of medical humanities. Dr. Lucey is the originator of the Smithsonian Museum Exhibit on Epidemics 2018-2022, an advocate of One Health, and author of 170 blogs on COVID and other new epidemics since January 2020 on the Science Speaks website of the Infectious Disease Society of America. One best career lesson is to “Anticipate, Recognize, Act” because “What’s next is already here, we just haven’t recognized it”.
Question Reality: Mind
Dartmouth College (via Coursera)
This course explores questions about mathematics, nature, and perfection. You will learn about logic, computers, simulations, and different perspectives on the nature of human consciousness. You will also be able to determine what free will means to you and your reality. Next, you will learn the features of artificial intelligence and understand if it is possible to mimic the complexity of a brain through a machine.
Question Reality: Matter
Dartmouth College (via Coursera)
In this course, you will walk through a timeline of “the atom” from the Greeks through discoveries in the 1900s and learn how our understanding of matter and the atom affected our views on reality. You will be introduced to some of the current understandings of matter and subatomic particles and also take a trip to the Large Hadron Collider at CERN! Finally, you will explore quantum mechanics' interpretation of reality and compare quantum versus classical boundaries. This course also addresses questions such as: Where do you draw the line between the quantum and the classical worlds? What do we mean by “knowable” and “unknowable”?
Machine Learning with Neural Networks
Dartmouth College (via Coursera)
This course explores the principles of machine learning through the lens of one of its most powerful and versatile model classes: the artificial neural network. We will cover the fundamental machine learning concepts of modeling, training, and generalization. You will learn how to process the input data with feed-forward operations, how to train a neural network model using gradient-based optimization and the backpropagation algorithm, and how to ensure it performs well on new data using regularization. In the final module, we discuss Bayesian neural networks, learning how to build models that not only make predictions but also quantify their own uncertainty.
Engineering of Structures: Shear and Bending
Dartmouth College (via Coursera)
This course deals with shear and bending. Shear is a set of parallel, non-collinear forces acting across an element and bending is the curved form taken by a slender element when subjected to loads perpendicular to the element. These forces are easy to understand. You will study how stress and bending force acts for different structures and also, identify what role these forces play in their designs. The first module introduces you to the concept of shear and bending while building structures. The second module explores different understanding of stress and bending. It defines important terms used to understand these forces. It also studies the impact of shear and compression on beams of different materials. You will also learn how to calculate shear stresses and bending stresses. The third module explores how to build a cardboard beam or shelf . You'll also study the structure beam and share a report on it.
Neural Basis of Imagination, Free Will, and Morality
Dartmouth College (via Coursera)
This course deals with the neural basis of imagination, free will, and morality. In module one of the course, you will explore the evidence of imagination derived from artifacts. This module examines the brain changes that caused the innovativeness of human imagination. The relation between the first and the second-order desires and free will also be discussed. In the second module, you will learn how we imagine and judge what is right versus what is wrong. You will also learn to differentiate between immoral and amoral acts and explore the origin of morality, evil, and human goodness. While comparing the relationship between science and religion, you'll understand how to realign social, cultural, and governmental structures to serve broad human interests.
Introduction to Italian Opera
Dartmouth College (via Coursera)
This course gives us an introduction to Italian Opera right from its very beginning in Florence, Italy. You will understand how Mozart’s opera is the midpoint of opera. It explores how music tells the audience about the characters' thoughts through musical gestures. It also sheds light on the importance of close listening to understand opera thoroughly.
Introduction to German Opera
Dartmouth College (via Coursera)
This course gives us an introduction to German Opera and the evolution of opera as well. It explores the concept of how music conveys the drama throughout the course. You will understand how Wagner conveys the meaning of the opera through motives. It further explores musical gestures and how it helped various composers develop their style in opera as well. You will understand in detail the importance of orchestra in German Opera.
The American Renaissance and Frederick Douglass
Dartmouth College (via Coursera)
This course introduces you to Douglass's view of the anti-slavery movement to the abolition of the institution of slavery. You will also go through some parts of Douglass's narrative of his own life. You will also hear Professor Chaney explaining the rationale of Douglass's repeated acts of self-narration.
Engineering of Structures: Response of Structures
Dartmouth College (via Coursera)
This course explores the impact of different forces on the construction of bug buildings. It provides an overall understanding of how buildings respond to different forces that impact their designs. The first module introduces you to the concept of the overall response of structures. The second module explores different types of loads and their impact on the design of large structures. It also gives a detailed explanation of how buildings fall due to earthquakes. In addition, the module offers an explanation on the impact of mass and stiffness on building response. The third module explores how to build a cardboard chair. You'll also learn how to work with SketchUp Make.
Inquiries Into Bipedalism
Dartmouth College (via Coursera)
This course will help you learn that the shapes of bones reflect adaptations and the behaviors that animals frequently participate in. Understanding this relationship is critical for reconstructing the activities of animals in the past. In this course, you will participate in two such activities. You will examine the femurs from a number of different species. You will also explore how footprint data is used to estimate the height of a species. You will participate in a dig at the Koobi Fora fossil site in Kenya. Furthermore, you will explore what a phylogenetic tree is and how they help in discovering the relative relatedness of a group of species. Virtually you will visit the Hall of Human Origins at the Smithsonian's National Museum of Natural History. This course will also help you understand the world of fossils. How fossils are formed, how paleontologists find fossils, how they are examined to find information will also be discussed here. Every module of this course has been created with the intention of a “hands-on” learner experience, where you can play around with and learn from 3D renditions of different human and animal fossils. You will explore fossil sites as well.
Organizing for Digital Transformation
Dartmouth College (via Coursera)
Digital transformation is not just about technology: it is about people, processes, and structures that allow organizations to adapt and thrive in a rapidly changing world. Even with strong data and advanced analytics, many firms struggle to capture real value because they are not organized to make the most of their investments. In this course, you’ll explore the organizational side of digital transformation: how to align teams, metrics, and governance with technology adoption. You’ll see why transformation efforts often fall short, study real-world examples from leading firms, and practice making the case for infrastructure and AI investments to executive stakeholders. This course builds on the fundamentals of digital transformation and the manager’s role in data analytics by moving into the organizational capabilities required for success. You will reflect on your own organizational context, analyze global case studies, and produce actionable plans for structuring digital transformation in practice.
Environmental Science
Dartmouth College (via Coursera)
The Introduction to Environmental Science course explores the field of environmental science and encourages participants to understand how environmental scientists think. It addresses some important questions such as: 1. What is the difference between environmental science and environmental studies? 2. How do both differ from environmentalism? 3. Why is energy so important in environmental science? 4. What do you mean by biodiversity? You will also explore what global cycles are and how they impact our lives. You must be aware that the human impact on biodiversity and global change are two of the most important discussion points in environmental science. Have you ever wondered how we are affecting global change and biodiversity? How can we reconcile human population growth, resource demands and sustainability? The effects of global change on humans and natural ecosystems and additional factors in evaluating personal environmental impact will also be discussed in this course.
Lessons on Wisdom: Personal Leadership for Your Life
Dartmouth College (via Coursera)
Lessons on Wisdom: Personal Leadership for Your Life is the culmination of four decades of studying and sharing about leaders and life for Professor Sydney Finkelstein. This course will teach you how to be a wise leader both personally and professionally. It is a personal, meaningful course that encourages all participants to change and grow. In it, you will be asked to think differently about who you are and what you do, so that you can take charge of your own life. By understanding nuance and paradox, by learning who you are as an individual, you will find yourself a wiser—and perhaps even happier—person.
Fundamentals of Digital Transformation
Dartmouth College (via Coursera)
The Fundamentals of Digital Transformation course introduces the technologies, strategies, and business models driving digital innovation. Participants will explore key concepts such as cloud computing, artificial intelligence (AI), the Internet of Things (IoT), automation, and data-driven decision-making, learning how these tools reshape industries and enhance customer experiences. Through case studies, interactive activities, and role-play exercises, students will analyze real-world examples of digital transformation in companies like Microsoft, Starbucks, JPMorgan Chase, and Dell. The course also examines ethical considerations, privacy concerns, and organizational challenges, helping participants develop strategies for implementing digital solutions while addressing leadership resistance and compliance requirements. By the end of this course, learners will gain a practical understanding of digital transformation frameworks, enabling them to drive innovation, optimize operations, and remain competitive in an increasingly digital economy.
The Basics of Libertarian Free Will
Dartmouth College (via Coursera)
In this course, we will dismantle arguments against free will from a philosophical perspective. Module one of the course will help you discover the differences between freedom from constraint and freedom within constraint. It will also help you to define truth and reality as they relate to our perceptions. The second module will explore concepts such as causation and criterial causations. You will be able to define consciousness as it relates to our mental and physical worlds. The third and the final module of this course will explore the core idea behind free will and analyze why arguments for or against free will are categorized in terms of their compatibility with determinism. You will also be able to compare the two types of libertarian free will.
Why Data Analytics Matters
Dartmouth College (via Coursera)
In today’s business environment, data is no longer just an operational byproduct; it is a critical resource for shaping competitive advantage, innovation, and resilience. As organizations continue their digital transformation journeys, managers are increasingly expected to understand not only what data is available, but how it creates value, informs strategy, and accelerates decision-making. This course is designed to equip managers with the essential frameworks, case studies, and applied activities that demonstrate how analytics, artificial intelligence, and large language models are being integrated into modern organizations. Through interactive labs, reflective exercises, and real-world case studies, you will explore how firms capture value from data, navigate new opportunities in generative AI, and adapt to shifting global business environments. By the end of this course, you will be able to evaluate the role of analytics in your organization, identify opportunities for data-driven innovation, and develop actionable strategies for managing the risks and trade-offs inherent in a digital economy.
The American Renaissance and Walt Whitman
Dartmouth College (via Coursera)
This course explores Whitman's working class context and explains why Whitman turned into a poet from a printer. You will also learn about Whitman’s free verse within the context of the post-Jacksonian American society. You will realize why Whitman revised some of his writings.
Decision-Making: Blending Art & Science
Dartmouth College (via Coursera)
Why do smart people sometimes think they are right when they are very, very wrong? Our brains are designed to make quick decisions, and sometimes we miss out on what’s really going on. Knowing this, Professor Sydney Finkelstein walks you through the neuroscience behind decision-making, and teaches you to make conscious decisions that are right for you at work and in life. By teaching you to reflect and move forward even better than before, Professor Finkelstein will help you to be the best you possibly can at whatever you do.
Why Smart Executives Fail: Common Mistakes & Warning Signs
Dartmouth College (via Coursera)
We don’t often talk about mistakes and failures, but there’s so much to learn from what goes wrong. In this course, Professor Sydney Finkelstein will teach you why leaders make mistakes, and what you can do to avoid making those same mistakes yourself. Using real-life examples of smart executives who failed, Professor Finkelstein will walk you through scenarios that prepare you to understand, manage, and even take advantage of the continuous change that is inevitable in organizations and in life.
Machine Learning Fundamentals
Dartmouth College (via Coursera)
This course provides a brief introduction to the theory and practice of supervised machine learning, the discipline of teaching computers to make predictions from labeled data. We begin with a well-known model of linear regression, moving from fundamental principles to the advanced regularization techniques essential for building robust models. We then transition from regression to classification, exploring two major paradigms for separating data: discriminative models and generative models. The course concludes in learning how to critically evaluate and compare classifier performance using industry-standard tools such as the ROC Curve. Upon completion, you will have a strong command of the core principles that underpin modern predictive modeling.
Predictive Analytics
Dartmouth College (via Coursera)
Learn to turn data into actionable insights with Predictive Analytics for Digital Transformation. This hands-on course equips you with Python skills, predictive modeling techniques, and analytics strategies to drive innovation and efficiency in digital transformation with Dartmouth Thayer School of Engineering faculty Vikrant Vaze and Reed Harder. What you'll learn: 1. Build Predictive Models Using Python: Gain hands-on experience with Scikit-learn to develop and refine regression and classification models, applying them to real-world scenarios. 2. Diagnose and Improve Model Performance: Identify issues like overfitting and underfitting, apply cross-validation, and select optimal features to ensure robust, generalizable results. 3. Leverage Advanced Techniques: Explore neural networks, regularization, and cloud-based tools to scale and optimize predictive analytics for complex business challenges. 4. Integrate Analytics into Decision-Making: Translate data-driven insights into actionable strategies to drive innovation and efficiency in digital transformation initiatives.
C Programming: Getting Started - 1
Dartmouth College (via Coursera)
Start learning one of the most powerful and widely used programming languages: C. Within moments you will be coding hands-on in a browser tool that will provide instant feedback on your code. The C programming language is one of the most stable and popular programming languages in the world. It helps to power your smartphone, your car's navigation system, robots, drones, trains, and almost all electronic devices. C is used in any circumstances where speed and flexibility are important, such as in embedded systems or high-performance computing. In this course, you will get started with C and learn how to write your first programs, how to make simple computations and print the results to the screen, how to store values in variables and how to repeat instructions using loops. Beginners, even those without any programming experience, will be able to immediately start coding in C with the help of powerful yet simple coding tools right within the web browser. No need to install anything! Why learn C and not another programming language? Did you know that smartphones, your car’s navigation system, robots, drones, trains, and almost all electronic devices have some C-code running under the hood? C is used in any circumstance where speed and flexibility are important, such as in embedded systems or high-performance computing. C is a foundational programming language taught at engineering schools around the world, and represents one of the building blocks of modern computer information technology. Invented in the 1970’s. It is still one of the most stable and popular programming languages in the world. We are excited to introduce you to the world of coding and launch you along your path to becoming a skilled C programmer! This is the first course in the C Programming with Linux Specialization. This series of seven courses will establish your programming skills and unlock doors to careers in computer engineering. This course has received financial support from the Pat...
The American Renaissance and Ralph Waldo Emerson
Dartmouth College (via Coursera)
This course introduces the concept of American Exceptionalism and explores the role of Emerson as a scholar. You will see how Emerson considered his early writings as part of the American Transcendentalist movement. It also explores Emerson's self-reliance and literary ethics. It further discusses how Emerson responded to the changing world and America’s place in it. You will also explore Emerson's role in the anti-slavery movement.
Experiments and Variations in Bipedalism
Dartmouth College (via Coursera)
This course will help you learn how fossils give us an insight into how the early members of our lineage walked bipedally. The four million years old bone of Australopithecus anamensis is the oldest undisputed evidence for bipedalism in our lineage. Similarly, Lucy’s, who was Australopithecus afarensis, fossil also helped scientists discover a lot about how bipedalism evolved over time. You will also explore bipedal variations in humans. From its earliest version to its modern form—how humans learned to walk, is an interesting story. Similarly how a human being learns to walk, from a toddler’s first footstep to an adult human being’s walk and its variations would also be discussed in this course. You will also understand that while bipedalism has its advantages, it has its adverse effects on humans too from a musculoskeletal point of view. Every module of this course has been created with the intention of a “hands-on” learner experience, where you can play around with and learn from 3D renditions of different human and animal fossils. Through these exercises, you will read the shapes found in bones in order to analyze and reconstruct how a species moved.
Question Reality: Cosmos
Dartmouth College (via Coursera)
This course explores the concept of reality and the physics of the sky. You will travel through the philosophies and worldviews of early civilizations to the time of early scientists such as Plato, Aristotle, and Copernicus. You will learn how Galileo's findings with the telescope challenged the Aristotelian interpretation of the cosmos, about Galileo’s revolutionary conclusions on gravity, and Newton's universal law of gravitation. This course will also introduce you to the scientific methods and their limitations. You will also explore the properties and behaviors of homemade pendulums. Next, you will explore modern ideas of cosmology, of the Big Bang, and even recent speculations that our universe is not all there is. Mysteries and properties of light and how they were discovered, questioned, and confirmed through experiments over the past few hundred years through the present will also be discussed.
C Programming: Language Foundations - 2
Dartmouth College (via Coursera)
In this course you will learn to use logical statements and arrays in C. Logical statements are used for decision-making with follow-up instructions, based on conditions you define. Arrays are used to store, keep track of, and organize larger amounts of data. You will furthermore implement some fundamental algorithms to search and sort data. Why learn C? Not only is it one of the most stable and popular programming languages in the world, it's also used to power almost all electronic devices. The C programming language represents one of the building blocks of modern computer information technology. Why learn C and not another programming language? Did you know that smartphones, your car’s navigation system, robots, drones, trains, and almost all electronic devices have some C-code running under the hood? C is used in any circumstance where speed and flexibility are important, such as in embedded systems or high-performance computing. By the end of this course, you will have gained experience with programming concepts that are foundational to any programming language and be one step closer to a career in computer engineering. Your job Outlook: Programmers, developers, engineers, managers, and related industries within scientific computing and data science; Embedded systems such as transportation, utility networks, and aerospace; Robotics industry and manufacturing; IoT (Internet of Things) used in smart homes, automation, and wearables. IEEE, the world’s largest technical professional organization for the advancement of technology, ranks C as third of the top programming languages of 2021 in demand by employers. (Source: IEEE Spectrum) This course has received financial support from the Patrick & Lina Drahi Foundation.
Generative AI for the Resilient Pricer
Dartmouth College (via Coursera)
In this course we’ll address the concept of leveraging Gen-AI in various economic and operational circumstances to rapidly generate pricing insights. Disruption occurs at an ever-increasing pace, driving imperfect information, limited response time, and competing priorities. The commercial excellence discipline is one that requires a holistic approach to delivering results, and those who complete this course will come away with the understanding necessary to determine where to focus for maximum effect.
Engineering of Structures: Tension and Compression
Dartmouth College (via Coursera)
This course deals with tension and compression. After going through this course, you will understand why tensegrity structures and sculptures are different from other structures. You will also explore tension and compression in different types of trusses. Additionally you will understand determinacy and realize how it applies to trusses. The first module introduces you to the concept of tension and compression. The second module explores topics such as tensegrity structure, trusses, and determinacy. After finishing this module, you will also be able to calculate the force in members of a truss. The third module explores how to build a truss bridge.
C Programming: Modular Programming and Memory Management - 3
Dartmouth College (via Coursera)
Enhance your coding skills along your path to becoming a proficient C programmer with the essential concepts of functions and pointers. In this course you will be introduced to the concept of modular programming: that is, dividing up more complex tasks into manageable pieces. You will learn how to write your own functions (just like functions in mathematics for example). You will also gain insight into a computer's architecture and learn how its memory is organized. Given the vast amount of memory computers have these days, how does your program remember where a certain variable is stored? This brings about the important topic of how memory is efficiently addressed inside a computer, and with it, the topic of pointers. Pointers are often considered the most difficult part and main struggle for C program developers. We will introduce you to this central topic with our novel and innovative visualization tools and show you precisely how pointers work. No need to struggle! You will receive instant feedback on your code right within your browser. The programming concepts you will gain in this course are foundational to any programming language. C is a foundational programming language taught at engineering schools around the world, and represents one of the building blocks of modern computer information technology. Invented in the 1970’s. It is still one of the most stable and popular programming languages in the world. By the end of this course, you will have reached the third mile stone in the C Programming with Linux Specialization program, unlocking the door to a career in computer engineering. Your job outlook: Programmers, developers, engineers, managers, and related industries within scientific computing and data science; Embedded systems such as transportation, utility networks, and aerospace; Robotics industry and manufacturing; IoT (Internet of Things) used in smart homes, automation, and wearables. IEEE, the world’s largest technical profess...
Engineering of Structures: Tension
Dartmouth College (via Coursera)
This course deals with tension. Tension is one of the easiest forces to understand. It is a pulling force. When we tend to pull an object, it is in tension. Different elements that resist tension in buildings are ropes, cables, and funicular forms. You will study different structures and identify what role tension plays in their designs. The first module explores tension and its importance in building structures. The second module explores funicular forms, angles, and bridges. You will understand the role of funicular forms in sustaining tension, how to best design elements and systems that resist tensile forces. You will also recognize the similarities and differences between suspension bridges and cable-stayed bridges. The third module explores how to build a cable-stayed bridge. You'll also study the structures of different bridges and share a report on them.
KP Sandbox
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KP Sandbox
Data
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Data
KP Sandbox 2
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KP Sandbox 2
Test IMport
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Test IMport
Medical Care Epidemiology
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Medical Care Epidemiology
KP Sandbox 3
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KP Sandbox 3
Bipedalism: The Science of Upright Walking
Dartmouth College (via edX)
Bipedalism: The Science of Upright Walking
The American Renaissance: Classic Literature of the 19th Century
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The American Renaissance: Classic Literature of the 19th Century
John Milton: Paradise Lost
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John Milton: Paradise Lost
The Engineering of Structures Around Us
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The Engineering of Structures Around Us
C Programming: Getting Started
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C Programming: Getting Started
C Programming: TEST SANDBOX
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C Programming: TEST SANDBOX
Introduction to Environmental Science
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Introduction to Environmental Science
Question Reality! Science, philosophy, and the search for meaning
Dartmouth College (via edX)
Question Reality! Science, philosophy, and the search for meaning
Libertarian Free Will: Neuroscientific and Philosophical Evidence
Dartmouth College (via edX)
Libertarian Free Will: Neuroscientific and Philosophical Evidence
The American Renaissance and Mark Twain
Dartmouth College (via Coursera)
This course explores Mark Twain's literary rivalry with Harriet Beecher Stowe and discusses why Huckleberry Finn’s story is labeled as a "tall tale". The module also defines "realism" and "naturalism" in terms of Twain's works. Next, it examines how blackface minstrelsy display the ambivalence as the basis for interracial bonds in the United States and compares the Adventures of Huckleberry Finn with Mark Twain's own autobiographical work, "Life on the Mississippi".
Medical Inference: A Primer on Critically Evaluating Medical Evidence
Dartmouth College (via edX)
Medical Inference: A Primer on Critically Evaluating Medical Evidence
Medical Inference: The Science of Evaluating Medical Research
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Medical Inference: The Science of Evaluating Medical Research
Introduction to Italian Opera
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Introduction to Italian Opera
Introduction to German Opera
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Introduction to German Opera
Old version, DO NOT USE
Dartmouth College (via edX)
Old version, DO NOT USE
Biospecimen Research Methods
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Biospecimen Research Methods
Developing Breakthrough Innovations with the Three Box Solution
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Developing Breakthrough Innovations with the Three Box Solution
Executing Breakthrough Innovations with the Three Box Solution
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Executing Breakthrough Innovations with the Three Box Solution
Dana Milstein Sandbox Test
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Dana Milstein Sandbox Test
Predictive Analytics
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Predictive Analytics
Mechanics & Origins of Bipedalism
Dartmouth College (via Coursera)
This course will take you through the kinematics of human locomotion including modeling upright walking as a controlled fall, how muscles and bones work together to move individuals using a series of joints and levers, and how the abductor mechanism works to solve the “seesaw problem” of side-to-side wobbling. You will also understand how paleoanthropologists look for musculoskeletal adaptations in fossils to reconstruct how something in the past moved. You’ll explore how musculoskeletal adaptations correlate with bipedalism, as well as what significance these clues hold for telling us about how hominins moved. Additionally, you will learn the kinematics of other habitual striding bipeds found in the animal kingdom. Every module of this course has been created with the intention of a “hands-on” learner experience, where you can play around with and learn from 3D renditions of different human and animal fossils. Through these exercises, you will be able to observe and describe animal behavior in order to explain the function of their locomotion and how that relates to our own.
Simulation for Digital Transformation
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Simulation for Digital Transformation
Population, Food, and Soil
Dartmouth College (via Coursera)
This course explores the population-environment relationship. In this course, you will learn about the human population and the ways in which changes in the population affect the environment. Agriculture, soils, and the environmental implications of eating meat, vegetables, local, organic, sustainable, industrial, and other types of food are discussed too. We explore questions such as: 1. How many people live on Earth right now? 2. What is the carrying capacity of Earth? 3. What is the relationship between the number of people, where they live, the resources they consume, and their environmental impact? 4. What types of agriculture are used right now? 5. What is the difference between organic and conventional agriculture? 6. Why would you want to dig a soil pit? A conversation with Phil Connors, an Australian Environmental Scientist, will explore the topic of human population and sustainability. You will also listen to the conversations with Danielle Allen, an organic farmer, and Justin Richardson, a soil scientist.
Prescriptive Analytics
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Prescriptive Analytics
Fundamentals of Digital Transformation
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Fundamentals of Digital Transformation
Organizing for Digital Transformation
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Organizing for Digital Transformation
Why Data Analytics Matters
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Why Data Analytics Matters
Prescriptive Analytics
Dartmouth College (via Coursera)
Learn to transform data into actionable strategies in Prescriptive Analytics for Digital Transformation. Use Python to build and solve optimization models, tackle complex decisions, and leverage prescriptive tools to drive efficient, data-driven innovations with Dartmouth Thayer School of Engineering faculty Vikrant Vaze and Reed Harder. What you'll learn: 1. Optimize Decision-Making Using Python: Build and solve linear and mixed-integer optimization models with Python tools like Pyomo, tackling real-world challenges in logistics, resource allocation, and planning. 2. Transform Non-Linear Problems: Apply linearization techniques to convert complex non-linear constraints into linear forms for efficient and scalable solutions. 3. Model Complex Decisions: Incorporate integer variables and logical rules into optimization models to handle discrete decisions, such as project selection or facility placement. 4. Evaluate and Refine Models: Use sensitivity analysis, branching, bounding, and pruning techniques to ensure robust and effective solutions that adapt to changing conditions. 5. Leverage Prescriptive Analytics for Strategy: Apply optimization and prescriptive analytics to develop actionable recommendations, enhancing efficiency and decision-making in digital transformation contexts.
Dartmouth HLS workflow
Dartmouth College (via edX)
Dartmouth HLS workflow
LDI Sandbox
Dartmouth College (via edX)
LDI Sandbox
Retail Fundamentals
Dartmouth College (via edX)
Retail Fundamentals
Omnichannel Strategy and Management
Dartmouth College (via edX)
Omnichannel Strategy and Management
Energy Justice: Fostering More Equitable Energy Futures
Dartmouth College (via Coursera)
Are you motivated by the idea that social justice can be served by the energy transition, but are not sure how to make this happen? Do you want to grow your ability to recognize - and do something about - injustice in the energy space? Are you a sustainability or environmental professional eager to help design just energy systems? Do you wonder how to help advance equity in your community’s energy decisions? This course is for you! Energy is the lifeblood of the modern way of life. Yet not everyone has equal access to its benefits, and the environmental and social costs of producing, transporting, and using it are not evenly distributed. In this course you will explore the idea and practice of energy justice: what does it look like? Why are societies struggling to achieve it? What do we mean by sociotechnical energy systems, and how can we make them more equitable? The purposes of this course are (1) to introduce individuals and organizations to the concept of energy justice and where it comes from, and (2) to help them build a toolkit to identify and leverage opportunities to increase fairness and equity in energy-related decisions and actions. After completing this course, learners should be better equipped to recognize and confront energy injustice in their personal and professional lives, and to help envision and foster energy justice in society. Course Learning Objectives At the end of this course, students will be able to: • Define energy justice and explain its relationship to environmental justice, climate justice, and energy democracy • Define structural inequity and describe the impact of historical racism on today's energy systems • Describe the social complexity of energy systems as well as their major physical elements • Identify and explain key energy justice principles and frameworks • Distinguish between multiple forms of injustice in energy systems and analyze potential remedies • Discuss energy injustice and structural inequality w...
Communicating Strategically
Dartmouth College (via edX)
Communicating Strategically
Free Will and Neuroscience
Dartmouth College (via Coursera)
In this course, we will discuss free will from a neuroscientific perspective. Module one of the course will explore two neuroscientific arguments against free will from Libet and Wegner and evaluate neuroscientists’ arguments against free will. You will also examine where these experiments do not succeed in debunking free will. In module two, the anatomy and physiology of neurons will be described. You will also learn how they communicate. You will have an understanding about neural anatomy and physiology to consciousness, attention, and free will. In the final and the third module of the course, you will explore an example of the top-down influence on bottom-up processing called volitional attention. You will see how neural circuits responsible for both volitional and non-volitional thought and action interact with each other. Next, you will learn how a neural circuit can change its physical structure and function, and how these changes might impact human behavior.
Corporate Brand and Reputation
Dartmouth College (via edX)
Corporate Brand and Reputation
Crisis Communication and Management
Dartmouth College (via edX)
Crisis Communication and Management
Corporate Responsibility
Dartmouth College (via edX)
Corporate Responsibility
Linux Basics: The Command Line Interface - 6
Dartmouth College (via Coursera)
This course will introduce you to Linux, a powerful operating system used by most professional developers! Why add Linux to your C programming skills? Most people use Linux without knowing it! Whether you use a smartphone, search the web, or use an ATM, each time Linux is involved somewhere in the background. It is the most used operating system for embedded devices and high-performance servers. It is also the most common operating system used by developers to create software applications. In this course, you will learn the history of Linux and how its open source community was able to create today’s most advanced operating system. You will navigate the file system, use fundamental Linux commands and master the Linux command line interface. These are essential skills for every developer. You will also be able to produce software written in C using the industry-standard tools on Linux. We are excited to introduce you to Linux and guide you along your path to becoming a skilled user of this powerful operating system! At the end of this short course, you will reach the sixth milestone of the C Programming with Linux Specialization, unlocking the door to a career in computer engineering. Your job Outlook: Programmers, developers, engineers, managers, and related industries within scientific computing and data science; Embedded systems such as transportation, utility networks, and aerospace; Robotics industry and manufacturing; IoT (Internet of Things) used in smart homes, automation, and wearables. IEEE, the world’s largest technical professional organization for the advancement of technology, ranks C as one of the top programming languages of 2017 in demand by employers. (Source: IEEE Spectrum) This course has received financial support from the Patrick & Lina Drahi Foundation.
The American Renaissance and Harriet Beecher Stowe
Dartmouth College (via Coursera)
This course explores the keywords such as melodrama and serialization with respect to Stowe's writings. It also examines how evangelical tradition in American literature is explored through Stowe's writings. Some key terms such as "sentimentalism" and "material culture" with respect to Stowe's writing will also be discussed.
C Programming: Pointers and Memory Management - 4
Dartmouth College (via Coursera)
In this course, we will examine a key concept, foundational to any programming language: the usage of memory. This course builds upon the basic concept of pointers, discussed in C Programming: Modular Programming and Memory Management, and introduces the more advanced usage of pointers and pointer arithmetic. Arrays of pointers and multidimensional arrays are addressed, and you will learn how to allocate memory for your own data during program execution. This is called dynamic memory allocation at runtime using pointers. Within moments you will be coding hands-on in a browser tool developed for this course, receiving instant feedback on your code. No need to install anything! Why learn C and not another programming language? Did you know that smartphones, your car’s navigation system, robots, drones, trains, and almost all electronic devices have some C-code running under the hood? C is used in any circumstance where speed and flexibility are important, such as in embedded systems or high-performance computing. In this course, you will also gain experience with programming concepts that are foundational to any programming language. At the end of this course, you will reach the fourth milestone in the C Programming with Linux Specialization, unlocking the door to a career in computer engineering. Your job Outlook: Programmers, developers, engineers, managers, and related industries within scientific computing and data science; Embedded systems such as transportation, utility networks, and aerospace; Robotics industry and manufacturing; IoT (Internet of Things) used in smart homes, automation, and wearables. IEEE, the world’s largest technical professional organization for the advancement of technology, ranks C as third of the top programming languages of 2021 in demand by employers. (Source: IEEE Spectrum) This course has received financial support from the Patrick & Lina Drahi Foundation.
Energy and Environment
Dartmouth College (via Coursera)
This course deals with both renewable and non-renewable energy. By applying scientific principles and considering real-world examples, you will examine: 1. Non-renewable fossil fuels with a focus on coal, petroleum and natural gas and the benefits and consequences of using each. 2. Renewable fuels such as wind and solar and identify that even renewable “green” energy sources have impacts as well as benefits. 3. Biodiversity and global change, which are the integrating units of environmental science. Additionally, you will explore answers to the following questions: 1. How do we evaluate coal, oil, and natural gas from an environmental science perspective? 2. What regulates energy conversions and losses in human-built systems? 3. How much energy “flows through your fingertips?” 4. How do we evaluate hydro, solar, wind, and biomass from an environmental science perspective? 5. How can we increase efficiency and conservation? You also take a tour of the Dartmouth Powerplant and listen to a conversation with Dartmouth Sustainability Director, Rosi Kerr. Furthermore, you will take a field trip to a PV tracker solar system, visit a straw bale house, and have a conversation about waste vegetable oil as an energy source in India.
The American Renaissance and Nathaniel Hawthorne
Dartmouth College (via Coursera)
This course explores Hawthorne's aptitude in the genre of romance. It also discusses how he turned into an author from a civil servant. Additionally, you will explore a few important plot points of "The Scarlet Letter" and his art of second-thinking to the unfolding of the romance of "The Scarlet Letter".
The American Renaissance and Herman Melville
Dartmouth College (via Coursera)
This course explores Moby-Dick, Melville's great American novel. You will listen to a series of short lectures on the historical and cultural context that informed the writing of Moby-Dick. You will examine Starbuck’s argument with Ahab to explain why the crew does not mutiny in Moby-Dick, how the drowning of Pip qualifies as an example of the narrative performing the work of testimony, and the differences between Ishmael’s speculative and testamentary narratives. You will also explore different ideological appropriations of Moby-Dick.
C Programming: Using Linux Tools and Libraries - 7
Dartmouth College (via Coursera)
Learn how to use professional tools and libraries to write and build C programs within the Linux operating system. This seventh and final course in the C Programming with Linux Specialization will allow you to develop and use your C code within the Linux operating system. Using libraries in C is a fundamental concept when it comes to sharing code with others. In addition to compiling and linking, you will also learn how to pass arguments to an executable program. As you embark on your future career as a programmer, you will be able to continue your coding adventures with professional coding environments used by C programmers around the world. Why learn C and not another programming language? Did you know that smartphones, your car’s navigation system, robots, drones, trains, and almost all electronic devices have some C-code running under the hood? C is used in any circumstance where speed and flexibility are important, such as in embedded systems or high-performance computing. At the end of this course, you will reach the last milestone in the C Programming with Linux Specialization, unlocking the door to a career in computer engineering. Your job Outlook: Programmers, developers, engineers, managers, and related industries within scientific computing and data science; Embedded systems such as transportation, utility networks, and aerospace; Robotics industry and manufacturing; IoT (Internet of Things) used in smart homes, automation, and wearables. IEEE, the world’s largest technical professional organization for the advancement of technology, ranks C as third of the top programming languages of 2021 in demand by employers. (Source: IEEE Spectrum) This course has received financial support from the Patrick & Lina Drahi Foundation.
C Programming: Advanced Data Types - 5
Dartmouth College (via Coursera)
In this course you will define your own data types in C, and use the newly created types to more efficiently store and process your data. Many programming languages provide a number of built-in data types to store things such as integers, decimals, and characters in variables, but what if you wanted to store more complex data? Defining your own data types in C allows you to more efficiently store and process data such as a customer's name, age and other relevant data, all in one single variable! You will also gain experience with programming concepts that are foundational to any programming language. Why learn C and not another programming language? Did you know that smartphones, your car’s navigation system, robots, drones, trains, and almost all electronic devices have some C-code running under the hood? C is used in any circumstance where speed and flexibility are important, such as in embedded systems or high-performance computing. At the end of this short course, you will reach the fifth milestone of the C Programming with Linux Specialization, unlocking the door to a career in computer engineering. Your job Outlook: Programmers, developers, engineers, managers, and related industries within scientific computing and data science; Embedded systems such as transportation, utility networks, and aerospace; Robotics industry and manufacturing; IoT (Internet of Things) used in smart homes, automation, and wearables. IEEE, the world’s largest technical professional organization for the advancement of technology, ranks C as third of the top programming languages of 2021 in demand by employers. (Source: IEEE Spectrum) This course has received financial support from the Patrick & Lina Drahi Foundation.