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Introduction to Object-Oriented Programming with Java I: Exceptions, Data Structures, Recursion, and GUIs (edX)

Learn how to create and use exceptions, data structures, recursion, and graphical user-interfaces (GUIs). This course provides students with the knowledge to handle and even create exceptions to achieve graceful error handling in programs. They will also create and utilize data structures, including lists and files. Students will also [...]

Introduction to Object-Oriented Programming with Java I: Object-Oriented Programming and Algorithms (edX)

Learn the basics of object-oriented programming and algorithms. Students will build on the skills learned from “Introduction to Object-Oriented Programming with Java I: Foundations and Syntax Basics” and learn the basics of writing classes that serve as blueprints of concepts or objects that are represented in a programming problem. [...]

Introduction to Object-Oriented Programming with Java I: Foundations and Syntax Basics (edX)

Learn the foundational basics of the Java programming language. This course provides an introduction to the Java programming language. It gives students a foundational overview and history of Java, and students will learn about the language’s basic syntax. At the end, they will be able to develop interactive console [...]

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.

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 [...]

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 [...]

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. [...]

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. Systems of equations live at the heart of linear algebra. In this course you will explore fundamental concepts by exploring definitions and [...]

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.

Linear Algebra IV: Orthogonality & Symmetric Matrices and the SVD (edX)

This course takes you through roughly five weeks of MATH 1554, Linear Algebra, as taught in the School of Mathematics at The Georgia Institute of Technology. In the first part of this course you will explore methods to compute an approximate solution to an inconsistent system of equations that [...]