Algorithmic Game Theory

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Location:CIT 368
Meeting Time:N: Wed 3:00-5:20
Exam Group:14: 09-MAY-2018 Exam Time: 09:00:00 AM
Semester:2 (Spring)
Offered this year?Yes
When Offered?Most years


This course examines topics in game theory from a computer scientist's perspective. Through the lens of computation, this course will focus on the design and analysis of systems involving self-interested agents, investigating how strategic behavior should influence algorithm design, which game-theoretic solution concepts are practical to implement, and the ramifications of conflicts of interest between system designers and participating agents. Topics include: auctions and mechanism design, equilibria, and learning.

Prerequisites: capable of programming in any Python, Matlab, Java, or Scala; and mathematical sophistication, meaning comfortable with mathematical modeling and reasoning (i.e., theorems and proofs).
This course is currently full; to add yourself to the waitlist please go to

CRN: 26504