Hua Gong

This course will assist students in applying and developing advanced analytical skills specifically designed to evaluate sport performance as well as predict team & individual success. Students will achieve this through the development of critical thinking skills as well as advanced knowledge in modeling, statistical analysis, predictive analytics, game theory, optimization, data mining, machine learning techniques, and simulation. Cross-list: SMGT 531. Mutually Exclusive: Cannot register for SMGT 431 if student has credit for SMGT 531.

In this age of Big Data, employees must be tech savvy with a strong background in computer and statistical analysis. Sport Business Analytics calls for special approaches to marketing and pricing. This course is designed to introduce the students to techniques that will allow for productive sport business analytics.

Reading or research project to be determined by discussions between student(s) and faculty member(s). Must have the approval of the Chair of the Department of Sport Management and the participating faculty member. Repeatable for Credit.

Advanced teaching experience for upper level students who have demonstrated a particular aptitude and interest in an area of sport management. Students assist in conducting a course in which they have previously excelled. The student will learn techniques in course management, instruction, and evaluation. The Chair of the Department of Sport Management must approve all teaching assistants. Pre-requisites: declared Sport Management major. Student must have received at least an "A-" in the course serving as the practicum. Repeatable for Credit.

This course will assist students in applying and developing advanced analytical skills specifically designed to evaluate sport performance as well as predict team & individual success. Students will achieve this through the development of critical thinking skills as well as advanced knowledge in modeling, statistical analysis, predictive analytics, game theory, optimization, data mining, machine learning techniques, and simulation. Cross-list: SMGT 431. Mutually Exclusive: Cannot register for SMGT 531 if student has credit for SMGT 431.