CSCI3369
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
- Computer Science
- School
- MCAS
- Credits
- 3
Requirements fulfilled
No source-backed degree requirement is attached to this course yet.
Official evaluation summary
4.08 / 5
Data freshness
Instructors
Sections
- Section 01