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Analytics In High Performance

Instructor:
Stuart A Best
691
Credits:
3.0
001
Building:
Seaton Building
Room:
Rm.213
Semester:
Spring 2025
Start Date:
End Date:
Name:
Analytics In High Performance
Requisites:

Prereq: An undergraduate or graduate statistics course or consent of instructor.

Class Type:
LEC
3:00 pm
5:30 pm
Days:
W

This course examines the use of athlete monitoring systems and other metrics to evaluate the stress-response relationship and performance outcomes. An emphasis is placed on data analysis and visualization.

This course examines the use of athlete monitoring systems and other metrics to evaluate the stress-response relationship and performance outcomes. An emphasis is placed on data analysis and visualization.

KHP