RST 407
Spring 2025 All Classes
All Classes
Sport Analytics: Data-Driven Decision Making
Credit: 3 OR 4 hours.
Introduces students to the basic analytical techniques and quantitative methods that are being used to inform data-driven decisions in the sport industry. Students will discuss and analyze the methods of sport analytic topics, such as player performance, team management, in-game decision making, market research, and data segmentation. To facilitate the teaching and learning process, this class will consist of lectures, discussions, in-class exercises, homework, and individual and team projects.
3 undergraduate hours. 4 graduate hours. Prerequisite: Quantitative Reasoning I course or equivalent.
Section Status updates every 10 minutes.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
74633
|
Lecture-Discussion
|
A
|
3:30PM
-4:50PM
|
TR
|
Huff Hall
|
Sato, M
|
|
|
|
75063
|
Lecture-Discussion
|
AG
|
3:30PM
-4:50PM
|
TR
|
Huff Hall
|
Sato, M
|
|