400

SPMG 400 Sport Studies Internship

Working under supervision in a community setting, the internship will emphasize theory, knowledge and skills needed when working with and within groups and organizations. Student will be expected to complete 67 clock hours of direct service to individuals, groups or organizations for each credit hour awarded. A learning Contract encompassing job requirements, learning objectives and methods will be utilized in student's evaluation.

1-12

Prerequisites

SPMG 298

SPMG 410 Sport Law and Risk Management

The structure of the legal system, introduces the case study method, aspects of constitutional law, labor and anti-trust law, tort law, product liability, contract law, administrative and statutory law applicable to the sport industry. The course also covers establishing a risk management system for facilities and sports programs.

3

Prerequisites

SPMG 211

SPMG 428 Marketing and Public Relations in Sport

The course is designed to prepare students with the tools needed to develop effective marketing and public relations strategies for sports and athletic programs. A myriad of topics such as marketing, advertising, public relations theories, consumer behavior and practical applications will be explored. Emphasis will be on developing students¿ written and verbal communication skills. The course content is in line with recommendations of the relevant professional associations regarding the marketing and public relations of sport management.

3

Prerequisites

ENGL 100 and (SPMG 211 or PHED 211) and (SPMG 212 or PHED 211) and ECON 201 and ECON 202

SPMG 440 Data Analytics for Sport Management

The course explores decision-making methods and software to measure performance and gain advantage in the competitive sports arena. It aims at developing analytical skills from practical points of view useful in sport management. Topics include data and data management; decision making approaches; metrics; regression, decision trees, time series; simulation; performance measurement and prediction; and team and players ratings. These topics will be explored using data analytic software for data visualization, statistical functions, data storage in various formats, and data interfaces. The theoretical knowledge will allow sport professionals to solve typical sport management problems such as predicting team performance; creating winning strategies; player analysis; player or team ranking and others. The classes will be a mix of lectures, practical data exploration, and software use.

3

Prerequisites

STAT 200 and (CSIT 104 or CSIT 151)