COMPUTATIONAL GAME THEORY
This course introduces computational approaches to game theory. Topics include but are not limited to algorithms for solution concepts, fixed point theorems, learning dynamics, and potential games. Students will explore both theoretical foundations and applications to economics, with assignments combining analytical problem-solving and computational exercises. This course will use Python.
Prerequisites & course information
Short Title: COMPUTATIONAL GAME THEORY Department: Economics Grade Mode: Standard Letter Course Type: Lecture/Laboratory Credit Hours: 4 Restrictions: Enrollment is limited to Undergraduate, Undergraduate Professional or Visiting Undergraduate level students. Course Level: Undergraduate Upper-Level Prerequisite(s): ECON 200 and ( ECON 300 or ECON 305 ) and ECON 308 and ( ECON 307 or STAT 310 or STAT 315 or DSCI 301 )
Sources
- Course catalogue ↗2026–2027