Tentative schedule

Day Topic Handout HM Due
Mon 4/1 Introduction and presentation of the course Syllabus
Wed 4/3 Survey of data in different sports Slides
Fri 4/5 R: Loading and visualizing football data
Mon 4/8 Linear Regression Notes
Wed 4/10 Stochastic Processes and Markov Chains Notes
Fri 4/12 R: Applying linear regression to sports
Mon 4/15 Metrics for individual performance: wOBA Notes
Wed 4/17 Population variance and statistical significance Notes Homework 1
Fri 4/19 R: Computing wOBA Survey #2
Mon 4/22 Regularized Linear Regression Notes
Wed 4/24 Regression to the mean Notes
Fri 4/26 R: Estimating true talent for 3-point shooting
Mon 4/29 Bradley-Terry Model Notes (from Scott)
Wed 5/1 Regularized Adjusted Plus Minus Notes Homework 2
Fri 5/3 R: Ranking college football teams
Mon 5/6 Rasch Model Notes (from Scott)
Wed 5/8 Guest Talk: Kwesi Adofo-Mensah (49ers) Homework 3
Fri 5/10 R: Evaluating NBA players using possession data
Mon 5/13 Game to Game Consistency Notes
Wed 5/15 Case study: 4th down decision Analysis by B.Burke (ESPN) Homework 4
Fri 5/17 R: Scraping WNBA game results from ESPN
Mon 5/20 Case study: 2-for-1 Strategy Analytics of Optimal 2-For-1
Wed 5/22 Fairness and Integrity: Breaking the Tie Notes Final abstract
Fri 5/24 Fairness and Integrity: A Good Draw? Paper by J.Guyon
Mon 5/27 Memorial Day - No class
Wed 5/29 Guest Talk: Travis Chen (GS Warriors) Final Paper
Fri 5/31 Duckworth-Lewis-Stern and prediction in Cricket Notes
Mon 6/3 Final Presentations
Wed 6/5 Final Presentations
Fri 6/7 Final Presentations