|This course uses data and analytical methods from statistics, economics, finance and psychology to evaluate various elements of the business of sports. The course is designed to help students learn how to apply economic models and statistical methods to real world problems drawn from the world of sports. The emphasis will be two-fold. First students will be exposed to and learn how to apply methods and principles that are useful for a wide range of problems outside the world of sports (e.g. how to evaluate models and test hypotheses, how to use market based data and evidence, how to organize and interpret data). Second students will learn how these tools can be applied in the sports context and the approaches used in the rapidly growing sports analytic industry.
In each section of the class nine five-person student groups will be formed by the faculty based on student interests and capabilities. Each group will work throughout the quarter with a faculty member to produce an original research project on its assigned topic. The faculty anticipate a heavy workload (10+ hours per week) and seek students with a strong background in microeconomics and statistics. A class website will be created and students will have the option to post their research to that site. The site will be advertised to influential people in the sports industry. Possible topics to be covered include competition in sports, the environment of professional sports (e.g. collective bargaining agreements), and the business of teams and leagues.
Weekly Review Sessions:
Weekly review sessions will be held on Saturdays, from 4:45 to 6:30 at Gleacher. THE FIRST SESSION WILL BE SATURDAY JANUARY 5, THE SATURDAY BEFORE CLASSES START. The first session will include an introduction to MATLAB.