Spring 2024 Course Descriptions

CS 152-01 Sports Analytics

M. Monroe
TR 10:30-11:45, Room To Be Announced
D+ Block

This course plots the various intersection points between Sports Analytics and Computer Science, including pit stops in machine learning, computer vision, and computational geometry among others. Students will get hands-on experience working with real data and real problems for which there may or may not be absolute right or wrong answers. Assessments will be based on the students' ability to correctly implement the empirical strategies discussed in class, clearly explain their methods, and creatively transform raw data into actionable insights.

Prerequisite: Basic working knowledge of major US sports such as Baseball, Football, Soccer, and Basketball is assumed.

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