COMPSCI 136 - Economics and Computation or return to Course Catalog Search
128164 – Section 001
|Faculty of Arts and Sciences||Computer Science||David Parkes|
|Term||Day and Time||Location|
|Fall 2019-2020 (show academic calendar)||TuTh 9:00 a.m. - 10:15 a.m.||Maxwell Dworkin G115 (SEAS)|
4 (show credit conversion for other schools)
Credit in Faculty of Arts and Sciences is equivalent to:
Graduate and Undergraduate
The interplay between economic thinking and computational thinking as it relates to electronic commerce, social networks, collective intelligence and networked systems. Topics covered include: game theory, peer production, reputation and recommender systems, prediction markets, crowd sourcing, network influence and dynamics, auctions and mechanisms, privacy and security, matching and allocation problems, computational social choice and behavioral game theory. Emphasis will be given to core methodologies, with students engaged in theoretical, computational and empirical exercises.
Recommended: Applied Math 21b, Computer Science 51 or equivalent, Statistics 110, and one of Computer Science 181, Computer Science 182, Economics 1011a, Economics 1052, or Economics 1056.
Formerly Computer Science 186
|Eligible for cross-registration|
With permission of instructor/subject to availability
MIT students please cross register from MIT's Add/Drop application.