CSCI 3369 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
- Level
- Undergraduate
- Offered
- Periodically
Catalog details
- Prerequisites
- CSCI2243 and CSCI2244
Requirements fulfilled
- Computer Science B.A.: CSCI 2000-level-or-higher elective (Current University Catalog; students should confirm their catalog year)
- Computer Science B.A.: CSCI 3000-level-or-higher elective (Current University Catalog; students should confirm their catalog year)
- Computer Science B.S.: CSCI 3000-level-or-higher elective (Current University Catalog; students should confirm their catalog year)
- Mathematics B.S.: Natural science, computer science, or economics corequisites (Current University Catalog; students should confirm their catalog year)
Official evaluation summary
4.08 / 5
Data freshness
Instructors
Sections
- Section 01