From the Classroom to the Locker Room: Teaching the Next Generation of Sports Analysts
As technology has become more sophisticated so too have the processes by which we evaluate sporting performance – sports analytics. If books such as “Moneyball” have taught us anything, it’s that sports analytics can make a huge difference. Meet fi ve professors who are leading the charge in teaching sports analytics around the world. Hear why they believe this topic is so important to teach, the problems they face in designing and teaching these curriculums, and what they hope to inspire by doing so.
A life-long sports fan Dr. Jeremy Abramson has always been fascinated by the impact and importance quantitative information has on athletic competition. He is interested in the acquisition, processing, analysis and visualization of sports-related data, as well as how to construct narratives around the entire process. Jeremy teaches “Introduction to Sports Analytics” in the University of Southern California’s Information Technology Program. The course acquaints students with the multi-displinary aspect of sports analysis, through examples and guest speakers in the fields of statistics, economics, operations research and computer science.
Recently, Jeremy has become involved with the development of quantitative sports analysis curriculums, from K-12 STEM programs to potential specialized graduate degrees. At the collegiate level, his focus is on developing curriculum that gives students a broader base of skills and domain knowledge than traditional existing programs. As this exciting field evolves, he is dedicated to answering the question “How do we prepare the next generation of students for a career in sports analysis?”
Jeremy holds a B.S. in Computer Science from the University of California, Davis, and Ph.D. in Computer Science from the University of Southern California. Follow him on twitter at @jeremyabramson.
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