About this course: 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. How could you begin to model keyword auctions, and peer to peer file-sharing networks, without accounting for the incentives of the people using them? The course will provide the basics: representing games and strategies, the extensive form (which computer scientists call game trees), Bayesian games (modeling things like auctions), repeated and stochastic games, and more. We'll include a variety of examples including classic games and a few applications. You can find a full syllabus and description of the course here: http://web.stanford.edu/~jacksonm/GTOC-Syllabus.html There is also an advanced follow-up course to this one, for people already familiar with game theory: https://www.coursera.org/learn/gametheory2/ You can find an introductory video here: http://web.stanford.edu/~jacksonm/Intro_Networks.mp4
Who is this class for: This course is aimed at students, researchers, and practitioners who wish to understand more about strategic interactions. You must be comfortable with mathematical thinking and rigorous arguments. Relatively little specific math is required; but you should be familiar with basic probability theory (for example, you should know what a conditional probability is), and some very light calculus would be helpful.
Taught by: Matthew O. Jackson, Professor
Economics
Taught by: Kevin Leyton-Brown, Professor
Computer Science
Taught by: Yoav Shoham, Professor
Computer Science
| Level | Beginner |
| Language | English |
| How To Pass | Pass all graded assignments to complete the course. |
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Great initiation course. I was totally ignorant before and now I feel I have a good understanding of the basis.
Very informative and insightful course. The content was also really nice though difficult to understand sometimes if proper attention is not given. Thanks to the faculty for designing this and providing the relevant content.
This course was one of the best courses i have ever attended. The professors were top class and the content was more than what i thought. Thanks to Coursera for providing me this platform along with FINANCIAL AID. Special thanks to both the professors from Stanford and from UBC. Peace! <3
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RN
Really informative, challenging course. Some of the slides could be clearer, and a few errors means it can sometimes be hard to follow the lecturer. Excellent on the whole.