Lecture, three hours. Preparation: programming experience (Python), basic statistics. Discussion of theory, development, and application of analytics in sports. Study of application of analytics in sports for purposes of in-game strategy, player performance, team management, sports operations, and fantasy competitions, among other topics. Lectures, laboratories, guest speakers from sports industry and academia, and culminating group project. S/U or letter grading.