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. 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
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From Coursera
Institution Stanford University
Instructors Matthew O. Jackson, Kevin Leyton-Brown,
Price Free (with limitations) or $79 for a Verified Certificate
Language English (English)
Subjects Social Sciences Math And Logic Economics
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These skills are valuable to employers*

$70,000

Yearly salary

Estimated for jobs that may use skills taught in this course based on salary data from 20 jobs.

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Table Games Floor Supervisor

$51,000

Bingo Paymaster

$23,000

Bingo Caller

$24,000

Boxperson - Casino

$51,000

*Median income figures across U.S., note that actual salaries vary.

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