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MAT 132 Mathematics of Games and Politics (3 credits)

This course will focus on both computational and theoretical aspects of game theory and decision theory. It will begin with an overview of game theory focusing first on games of pure chance or probability theory. Topics here include expected value, counting methods and conditional probability. For strategic games, the notions of dominant strategies, Nash equilibria, social dilemmas and, for zero sum games, saddle points and the Minimax theorem will be considered. The final area covered is social choice theory. Topics here include weighted voting, fairness criteria and the famous Arrow’s Impossibility Theorem for multiple candidate elections.

Course fulfills the GEP and GER Mathematics Requirement.