Course Search Results

  • 3.00 Credits

    The class will discuss the theory, development, and application of analytics in sports. Students will learn about the application of analytics in sports for purposes of personnel acquisition and management, marketing, finance, communications, and team management among many other topics. The class will consist of lectures, quizzes, threaded discussions, and practical applications.
  • 3.00 Credits

    This course presents an application of economics concepts and issues relevant to the sports industry.Topics include: market structures and outcomes; barriers to entry; contraction and expansion; cooperative, competitive, and collusive behavior among participants; professional sports; collegiate and amateur sports: public policy, subsidies for new facilities, institutional rules, and tax policies, discrimination; and labor market imperfections.
  • 3.00 Credits

    This course is designed to introduce the key concepts, tools, and principles of strategy formulation and competitive analysis. It is concerned with managerial decisions and actions that affect the performance and survival of sport industry organizations. It will focus on the theories of strategic management and their applicability to the sport industry, including strategic planning, decision making, implementation and controlling processes, understanding organizational effectiveness, and environmental analysis.
  • 3.00 Credits

    This course is designed to provide students with a knowledge and understanding of the power and politics of sport organizations that govern intercollegiate athletics. Students will learn and analyze how people involved in governance set the tone of an entire organization and how individual sport governance bodies fit into the greater industry. Emphasis will be placed upon the student's development of a working knowledge of what these organizations do and what their true purpose is in the administration of an intercollegiate athletic department.
  • 3.00 Credits

    This course is designed to provide students with a knowledge and understanding of the necessary and mandatory compliance techniques of the major governing bodies of intercollegiate athletics to ensure institutional control. Emphasis will be placed upon an in-depth review and discussion of the various NCAA bylaw manuals, as well as NAIA rules and regulations.
  • 3.00 Credits

    This course is designed to provide students with a knowledge and understanding of an in-depth of gender equity issues that are prevalent in an intercollegiate athletic setting. This course also covers the many legal issues dealing with equity in intercollegiate athletic. Emphasis is placed upon the development of an overall knowledge of Title IX and the various tests that have been implemented to ensure compliance.
  • 3.00 Credits

    This course is designed to provide students with the latest human resource strategies to successfully address everyday problems that may arise with coaches, staff, and personnel of and intercollegiate athletic department. The student will develop a working knowledge of complex organizations and how this may affect the employees that he/she supervises.
  • 0.00 - 12.00 Credits

    The sport mentorship allows the student to practice sport management theory in the practical setting while under the direct supervision of a recognized leader in the students chosen area of specialty in the sport industry. Course requirements dictate that students complete a minimum of 300 contact hours.
  • 3.00 Credits

    This course is intended to provide just-in-time algebra reviews necessary to complete statistical analysis for various health and social science related problems. Topics include: frequency distributions, percentiles, measures of central tendency and variability, normal distribution, populations, samples, confidence intervals, and hypothesis tests.
  • 3.00 Credits

    This course emphasizes the identification of appropriate statistical methods as well as the proper interpretation and presentation of results. Topics include: descriptive statistics, probability concepts, the normal probability distribution, confidence intervals, hypothesis tests, and simple/multiple linear regression. Statistical software is used.