MATH 382
Sports Analytics
Lec 20 and Lec 20 selected
Modern sports science and professional teams increasingly require the use of applied statistical and analytical techniques. This course introduces the use of statistical analysis in a variety of contexts applicable to sport, including models, prediction, inference, simulation, and performance metrics. A research project involving the analysis of real-world data is an integral part of the course. Credit will only be granted for one MATH 382 or MATH 471(2019-2020) or MATH 399(2020-2021).
Sections
Lecture, pick one
Lec 20
Thu 14:30-15:45
Lec 20
Tue 16:00-17:15
Syllabus
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