Coursera Game Theory

Popularized by movies such as "A Beautiful Mind," game theory is the mathematical modeling of strategic interaction among rational (and irrational) agents. Beyond what we call `games' in common language, such as chess, poker, soccer, etc., it includes the modeling of conflict among nations, political campaigns, competition among firms, and trading behavior in markets such as the NYSE.

Excel in Competitive Strategy & Organization. Acquire theoretical knowledge & tools to master internal & external strategic management challenges.

Begin your career in Video Game Art.

Build a Foundation for Your Career in IT. Master the math powering our lives and prepare for your software engineer or security analyst career.

Digital technology has not only revolutionized society, but also the way we can study it. Currently, this is taken advantage of by the most valuable companies in Silicon Valley, the most powerful governmental agencies, and the most influential social movements. What they have in common is that they use computational tools to understand, and ultimately influence human behavior and social dynamics.
An increasing part of human interaction leaves a massive digital footprint behind. Studying it allows us to gain unprecedented insights into what society is and how it works, including its intricate social networks that had long been obscure. Computational power allows us to detect hidden patterns through analytical tools like machine learning and to natural language processing. Finally, computer simulations enable us to explore hypothetical situations that may not even exist in reality, but that we would like to exist: a better world.

Learn to play the guitar in under four months. Everything you need to know to be able to play your favorite songs.

Business Tools for Successful Execution. Apply economic theory and analytical tools to make effective business decisions.

Prepare for Advanced Computer Science Courses. Learn how to program and think like a Computer Scientist.

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. An introduction to fundamental data types, algorithms, and data structures, with emphasis on applications and scientific performance analysis of Java implementations.