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Computing in Python III: Data Structures (edX)

Learn more complex ways of handling data, including files, lists, and dictionaries for building complex programs. Build on your existing knowledge of conditionals, loops, and functions by studying more about complex Python data structures, including strings, lists, dictionaries, and file input and output. [...]
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Innovation Leadership (edX)

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Innovation Leadership (edX)
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Learn what it takes to become an innovation leader in the 21st Century from former Medtronic Chair & CEO Professor Bill George, as he teaches you the concepts, tools and practical tips needed for innovation leadership.
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Computing in Python I: Fundamentals and Procedural Programming (edX)

Learn the fundamentals of computing in Python, including variables, operators, and writing and debugging your own programs. This course starts from the beginning, covering the basics of how a computer interprets lines of code; how to write programs, evaluate their output, and revise the code itself; how to work [...]
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Engineering Vibration I: Introduction: Single-Degree-of-Freedom Systems (edX)

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Engineering Vibration I: Introduction: Single-Degree-of-Freedom Systems (edX)
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This course is an introduction to exploring the topic of engineering systems undergoing vibration. The methods taught in the course are used to predict the response of engineering structures to various types of input and to analyze the resulting vibratory motion. The free vibration of Single Degree-of-Freedom (SDOF) systems [...]
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Probability and Statistics III: A Gentle Introduction to Statistics (edX)

This course provides an introduction to basic statistical concepts. We begin by walking through a library of probability distributions – including the normal distribution, which in turn leads to the Central Limit Theorem. We then discuss elementary descriptive statistics and estimation methods.
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Probability and Statistics IV: Confidence Intervals and Hypothesis Tests (edX)

This course covers two important methodologies in statistics – confidence intervals and hypothesis testing. Confidence intervals allow us to make probabilistic statements such as: “We are 95% sure that Candidate Smith’s popularity is 52% +/- 3%.” Hypothesis testing allows us to pose hypotheses and test their validity in a [...]
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Probability and Statistics II: Random Variables – Great Expectations to Bell Curves (edX)

This course discusses properties and applications of random variables. For instance, how many customers are likely to arrive in the next hour? What’s the probability that a lightbulb will last more than a year? When you’re done with this course, you’ll have enough firepower to undertake a wide variety [...]
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Linear Algebra II: Matrix Algebra (edX)

This course takes you through roughly three weeks of MATH 1554, Linear Algebra, as taught in the School of Mathematics at The Georgia Institute of Technology. Your ability to apply the concepts that we introduced in our previous course is enhanced when you can perform algebraic operations with matrices. [...]
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Linear Algebra I: Linear Equations (edX)

This course takes you through the first three weeks of MATH 1554, Linear Algebra, as taught in the School of Mathematics at The Georgia Institute of Technology.
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Probability and Statistics I: A Gentle Introduction to Probability (edX)

This course provides an introduction to basic probability concepts. Our emphasis is on applications in science and engineering, with the goal of enhancing modeling and analysis skills for a variety of real-world problems.
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