Fall

DROMB8120 Sports Analytics


Instructor: Lucius J. Riccio

Additional Information: DROM_B8120_Fall_2013_Syllabus.pdf

A revolution is taking place in sports, and it parallels changes in other industries. The mining of large datasets, the development of mathematical tools of investigation, and the high fidelity simulation of dependent events have broadened all aspects of our understanding of sports. When directed towards athletic games, these technical approaches are referred to as Sports Analytics; they are pervasive. Game strategy, play-by-play broadcasting, the evaluation and compensation of talent, journalism, sports psychology, and fraud detection have all been altered by the recent implementation of Sports Analytics. The pace of innovation is accelerating.

In this course, we will learn some of the fundamental and technical tools of Sports Analytics. Some specific concepts include random variables, probability distributions, hypothesis testing, regression, game theory, and simulation. During each class gathering, significant time will be devoted to exploring these tools in the context of major and minor US sports. Most of the technical manipulations will take place in spreadsheets. There will be regular problem sets, in-class presentations, and a group project. Many of the sessions will include a lecture from visiting industry and academic leaders.

There are no prerequisites.  However, students should have working knowledge of Excel spreadsheet manipulation as well as some comfort level with basic statistics.




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