INFSCI 0530

**For whom?** Students do not need to have programming skills. While some basic statistical background will be beneficial, the course will be self-sufficient. Students should also have an interest in sports, since all the analytical examples will be taken from the sports field.

**Course meetings**: Tu/Thu, 1pm-2:15pm, IS 404

**Instructor**: Konstantinos Pelechrinis

**Syllabus**: (pdf)

- Woodward, J. R. "Professional football scouts: An investigation of racial stacking." Sociology of Sport Journal 21.4 (2004): 356-375.
- Mez, Jesse, et al. "Clinicopathological evaluation of chronic traumatic encephalopathy in players of American football." Jama 318.4 (2017): 360-370.
- Kendall, Jason. "Designing a research project: randomised controlled trials and their principles." Emergency medicine journal: EMJ 20.2 (2003): 164. (or something else about causality-correlation)
- Floridi, Luciano and Taddeo, Mariarosaria What is data ethics? Phil. Trans. R. Soc. A. 374:20160360.20160360 (2016)
- Brown, Shea, Jovana Davidovic, and Ali Hasan. "The algorithm audit: Scoring the algorithms that score us." Big Data and Society 8.1 (2021): 2053951720983865
- The Washington Post, "As biometrics boom, who owns athletes’ data? It depends on the sport"
- Osborne, Barbara. "Legal and Ethical Implications of Athletes' Biometric Data Collection in Professional Sport." Marq. Sports L. Rev. 28 (2017): 37.

- Bayesian Statistics with Hannah Fry
- You Know I’m All About that Bayes: Crash Course Statistics #24
- Z. Schonbrun, “The Performance Cortext”
- Franklin, David W., and Daniel M. Wolpert. “Computational mechanisms of sensorimotor control.” Neuron 72.3 (2011): 425-442.
- Körding, Konrad P., and Daniel M. Wolpert. “Bayesian integration in sensorimotor learning.” Nature 427.6971 (2004): 244-247.

- Why do underdogs do better in hockey than basketball?
- B. Taylor, "Thinking Basketball" (Chapter 4)

- J. Baron and J.C. Hershey, "Outcome Bias in Decision Evaluation", in Journal of Personality and Social Psychology, 1988.

- StatQuest,"Logistic Regression".
- StatQuest,"Logistic Regression Details Pt 1: Coefficients".
- StatQuest,"Logistic Regression Details Pt 2: Maximum Likelihood".
- J. Friedman, "Whether to probit or to probe it: in defense of the Linear Probability Model".

- S. Fortmann-Roe, "Understanding the Bias-Variance Tradeoff"
- Simplilearn, "A guide to regularization"

- C. Massey and R. Thaler, The Loser's Curse: Overconfidence vs Market Efficiency in the National Football League Draft
- D. Romer, Do firms maximize? Evidence from Professional Football
- J. Lyu, Are Soccer Teams Being Inefficient? An Analysis of Sunk Cost Fallacy and Recency Bias Using Transfer Fee
- D. Chen, T. Moskowitz and K. Shue, Decision Making Under the Gambler's Fallacy: Evidence from Asylum Judges, Loan Officers, and Baseball Umpires
- S. Avugos et al., Goal center width, how to count sequences, and the gambler's fallacy in soccer penalty shootouts

- Game Theory in Football explained
- S. Natarajan, Nylon Calculus: Game theory and the deep 3
- J. Haigh, Blast it like Beckam?
- B. Skinner, Braess’s Paradox and "The Ewing Theory"