IE 1073 - MODELING IN SPORTS AND GAMES

Minimum Credits: 3
Maximum Credits: 3
This course will cover fundamental stochastic and statistical modeling concepts arising in the context of sports prediction and strategy. The course will rely heavily on tools such as statistical analysis and Markov processes. Elementary concepts from game theory, decision theory and Markov decision processes will be introduced. We will consider examples arising in baseball, basketball, football and ice hockey, as well as other sports and games. Students will present a project on a topic of their choosing.
Academic Career: Undergraduate
Course Component: Lecture
Grade Component: Letter Grade
Course Requirements: PREQ: IE 1081 and 1082 and 1083; PROG: Swanson School of Engineering

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