Instructor: Bo Waggoner
Course webpage: https://www.bowaggoner.com/courses/2020/csci7000/
This advanced graduate-level course will cover a number of topics at the interface of computer science and microeconomics, from a theoretical perspective. Examples of likely topics include online learning, mechanism design for approximate welfare and revenue maximization, information elicitation and aggregation, and/or computational social choice. The course will focus on reading papers and a final project.
The course will have flexibility in allowing students to keep up at their own pace. Preprequisites encouraged, but not required, include multivariable calculus, linear algebra, probability, and analysis; and undergraduate algorithms and complexity theory. No economic prerequisites are assumed.
Typically, Mondays and Fridays will be discussions of assigned readings, led by a group of one or two students starting with a brief presentation of the key concepts. A typical Wednesday meeting will consist of instructor-led discussion or informal lecture on key background knowledge to reinforce the readings.
The final score will be calculated by a weighted average of the grades in each component. Course letter grades will be assigned based on the final score.