Instructor: Bo Waggoner
Time: Tu/Th 11:00-12:15
Location: Discovery Learning Center 1B20 (in-person modality)
Summary: This advanced graduate-level course will cover foundations and select advanced topics in Algorithmic Economics and Algorithmic Game Theory. Likely topics include game theory, equilibrium, algorithms for game playing and computational complexity thereof, mechanism design and auction theory, voting theory and computational social choice.
Prerequisites: The course will be theoretical, mathematical, and proof-based. Preprequisites strongly encouraged include multivariable calculus, linear algebra, and probability; as well as undergraduate algorithms and complexity theory. No economic prerequisites are assumed, but some familiarity with game theory and/or microeconomics is beneficial.