Description

This course is designed to help students to develop and apply analytical skills (e.g., statistical analysis, predictive analytics, mathematical modeling, critical thinking, game theory, simulation) that are useful in sport business. The course content will cover topics such as data management, statistical data analysis, modeling, and decision making in various sports settings. Students will learn the ability to recognize, formulate, and analyze decision-making situations in sports as well as learn principles in sports performance analytics.

Lecture Hours: 3.00 Lab Hours: 0Total Hours: 3.00

Semesters

Fall 2022 Semester
Course Title Instructor Campus Section Syllabus
Analytics in Sport Business Young Ik Suh, Ph.D. Distance E01 external Syllabus via Concourse External Resource