Stanford University is offering free online course on Game Theory. The course will provide the basics: representing games and strategies, the extensive form, Bayesian games, repeated and stochastic games, and more.
This course is aimed at students, researchers, and practitioners who wish to understand more about strategic interactions. The course will start on January 30, 2017.
Course At A Glance
Subject: Game Theory
Institution: Stanford University and Coursera
Certificate Available: Yes
Session: Course Starts on January 30, 2017
The Leland Stanford Junior University, commonly referred to as Stanford University or Stanford, is an American private research university located in Stanford, California on an 8,180-acre (3,310 ha) campus near Palo Alto, California, United States.
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. University will include a variety of examples including classic games and a few applications.
Why Take This Course?
Students who successfully complete the class will receive a statement of accomplishment signed by the instructor.
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.
Matthew O. Jackson, Professor (Economics)
Yoav Shoham, Professor (Computer Science)
Kevin Leyton-Brown, Professor (Computer Science)
Week 1: Introduction
Week 2: Mixed-Strategy Nash Equilibrium
Week 3: Alternate Solution Concepts
Week 4: Extensive-Form Games
Week 5: Repeated Games
Week 6: Bayesian Games
Week 7: Coalitional Games
Week 8: Final Exam Available
How To Join This Course
- Go to the course website link
- Create a Coursera account to SignUp
- Choose “Register Now” to get started.