ECON3360

Economics and Computation

Thiscourseexamines the intersection of economic and computational thinking, emphasizing core concepts, modeling, and mathematical analysis while highlighting connections to the digital economy and online systems. Covered topics include game theory, auction design, incentive alignment, information elicitation, matching, reputation systems, cryptoeconomics, and privacy and ethics. Practical applications span advertising, pricing, crowdsourcing, social networks, market platforms, DeFi, prediction markets, and more. Students will engage in both theoretical and computational exercises and complete a final project.No background in economic theory is assumed.

Course overview

Department
Economics
School
MCAS
Credits
3

Requirements fulfilled

No source-backed degree requirement is attached to this course yet.

Official evaluation summary

No source-backed aggregate rating is available yet.

Data freshness

Course and evaluation data last updated 2026-07-22. Source details and limitations are documented in Data Sources and Methodology.

Instructors

Sections

  • Section 01
    Fall 2026 · Francisco Javier Marmolejo Cossio · 245 Beacon Street Room 125 TuTh 10:30AM-11:45AM · Offered