Topics in Sports Analytics

MATH390

Topics in Sports Analytics

This course explores contemporary concerns in the sports world through a data science lens. We apply probability, statistics, machine learning, and simulation tools to investigate issues of fraud detection, "hot hands," team composition, game strategy, and player compensation among other concerns.

Prerequisites:  Linear Algebra, Probility, Stat or Data Analysis, some programming experience

Curriculum Codes
QS, R, SS