Computational Game Theory

CT Score

1500

#0 of 0 in ECON

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ECON 200 and ( ECON 300 or ECON 305 ) and ECON 308 and ( ECON 307 or STAT 310 or STAT 315 or DSCI 301 ) Description: 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→ECON 494→unlocks 0 courses

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