2.98/2.980 Sports Technology: Engineering & Innovation
Fall 2019
Instructors: Ramzi BenSaid, Christina Chase, Anette E Hosoi, Andreas Karatsolis, Kevin Vanslette, Ferran Vidal-Codina
TA: Sophie Waller
Lecture:
R 1-2:30
(IDC, Bldg. N52, 3rd floor)
Recitation: T 1-2:30
(IDC, Bldg. N52, 3rd floor)
Information:
Students will work directly with industry leaders on projects as well as be exposed to a wide range of opportunities where they can apply their expertise to advance the state-of-the-art in sports, from data analytics to mechanical design to material science.
Projects this semester will be with:
- FIFA
- Milwaukee Brewers
- San Antonio Spurs
- San Jose Earthquakes
The class is open to undergraduate and graduate students from all disciplines.
Announcements
Lunch
Hi Folks,Just a friendly reminder we will have end-of-semester tacos for lunch at noon at the IDC. You are all welcome to join!
See you soon!
Announced on 10 December 2019 9:20 a.m. by Sophie Waller
ML Tutorial
Hi Folks! FYI, this tutorial may be of interest to those of you interested in ML and causal inference:In this week’s ML seminar on Thursday, our own Alberto and Devavrat will hold their NeurIPS 2019 tutorial for the MIT ML community:
Machine Learning Tutorial: Synthetic Control
Seminar Series: Machine Learning Seminar Series 2019
Speaker: Devavrat Shah and Alberto Abadie
Speaker Affiliation: MIT
Date: Thursday, November 21, 2019
Time: 3:00 PM to 5:00 PM
Location: 32-G449 (Stata Center - Patil/Kiva Conference Room)
Abstract:
The synthetic control method, introduced in Abadie and Gardeazabal
(2003), has emerged as a popular empirical methodology for
estimating a causal effects with observational data, when the “gold
standard” of a randomized control trial is not feasible. In a
recent survey on causal inference and program evaluation methods in
economics, Athey and Imbens (2015) describe the synthetic control
method as “arguably the most important innovation in the evaluation
literature in the last fifteen years”. While many of the most
prominent application of the method, as well as its genesis, were
initially circumscribed to the policy evaluation literature,
synthetic controls have found their way more broadly to social
sciences, biological sciences, engineering and even sports.
However, only recently, synthetic controls have been introduced to
the machine learning community through its natural connection to
matrix and tensor estimation in Amjad, Shah and Shen (2017) as well
as Amjad, Misra, Shah and Shen (2019).
In this tutorial, we will survey the rich body of literature on
methodical aspects, mathematical foundations and empirical case
studies of synthetic controls. We will provide guidance for
empirical practice, with special emphasis on feasibility and data
requirements, and characterize the practical settings where
synthetic controls may be useful and those where they may fail. We
will describe empirical case studies from policy evaluation,
retail, and sports. Moreover, we will discuss mathematical
connections of synthetic controls to matrix and tensor estimation,
high dimensional regression, and time series analysis. Finally, we
will discuss how synthetic controls are likely to be instrumental
in the next wave of development in reinforcement learning using
observational data.
Announced on 20 November 2019 10:33 a.m. by Anette E Hosoi
Team Comms Deliverable #2 Rubric
Hi Folks,A rubric has been posted for the Team Comms Deliverable #2 that is due Friday by 5pm. Please submit as a PDF.
Let me know if you have any questions. Have a good weekend!
Sophie
Announced on 14 November 2019 3:46 p.m. by Sophie Waller
Team Strategy Deliverable #3 Rubric
Hi Folks,A syllabus for the Team Strategy Deliverable #3 has just been posted. Remember, this is due on Friday, Nov 8th by 5pm. Please submit as a PDF.
Sophie
Announced on 07 November 2019 5:33 p.m. by Sophie Waller
Today's Guest Speaker
Hi Folks,We have Ferrari F1 COO Mirko Boccalatte joining us as a guest speaker in today's class. Please be sure to attend!
See you all soon!
Sophie
Announced on 07 November 2019 10:14 a.m. by Sophie Waller
