Math 113 is an introduction to Sports Analytics, a rapidly growing discipline. The course focuses primarily on the NBA and MLB, the pro basketball and baseball leagues in the U.S. We will also include lecture topics on marathon running and women's professional tennis, and students may pursue any sport in their final project. Our approach will be to understand recently available advanced statistics and to build simple models using R software. With this experience, we will make data-driven evaluations and predictions in lectures and in projects. A few additional topics will be presented such as player development, in-game strategy, team building, and the draft. The modeling techniques and software learned in this course are general ones and could be applied to many other fields such as medicine, politics, business, and science.
Sections offered by academic year and season, with estimated offering chances for future years above the divider
Year
Fall
Spring
Summer
Intersession
2030
19%2030 Fall: 19% chance, medium confidence. Offered in 2 of 9 fall terms since 2018.
18%2030 Spring: 18% chance, medium confidence. Offered in 2 of 9 spring terms since 2018. Department course count falling about 4% per year.
7%2030 Summer: 7% chance, medium confidence. Offered in 0 of 9 summer terms since 2018.
8%2030 Intersession: 8% chance, medium confidence. Offered in 0 of 6 intersession terms since 2020.
2029
19%2029 Fall: 19% chance, medium confidence. Offered in 2 of 10 fall terms since 2017.
18%2029 Spring: 18% chance, medium confidence. Offered in 2 of 10 spring terms since 2017. Department faculty is about 19% below its recent average.
6%2029 Summer: 6% chance, medium confidence. Offered in 0 of 10 summer terms since 2017.
7%2029 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017.
2028
19%2028 Fall: 19% chance, medium confidence. Offered in 2 of 11 fall terms since 2016.
18%2028 Spring: 18% chance, medium confidence. Offered in 2 of 11 spring terms since 2016. Department faculty is about 21% below its recent average.
5%2028 Summer: 5% chance, medium confidence. Offered in 0 of 11 summer terms since 2016.
7%2028 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017.
2027
18%2027 Fall: 18% chance, medium confidence. Offered in 2 of 12 fall terms since 2015.
18%2027 Spring: 18% chance, medium confidence. Offered in 2 of 12 spring terms since 2015. Department faculty is about 24% below its recent average.
5%2027 Summer: 5% chance, high confidence. Offered in 0 of 12 summer terms since 2015.
6%2027 Intersession: 6% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017.
2025
Not offered
11 section
Not offered
Not offered
2024
Not offered
11 section
Not offered
Not offered
2023
11 section
Not offered
Not offered
Not offered
2022
11 section
Not offered
Not offered
Not offered
2021
Not offered
Not offered
Not offered
Not offered
2020
Not offered
Not offered
Not offered
Not offered
2019
Not offered
Not offered
Not offered
n/aNo data for this term
2018
Not offered
Not offered
Not offered
n/aNo data for this term
2017
Not offered
Not offered
Not offered
Not offered
2016
Not offered
Not offered
Not offered
n/aNo data for this term
2015
Not offered
Not offered
Not offered
n/aNo data for this term
ForecastUnder 15%15–39%40–69%70–89%90%+Not enough history
Fall Spring Summer Intersession Darker means more sectionsNot offeredNo data for term
Future estimates combine recent offering frequency with detected multi-year cycles. Hover a
cell for confidence and evidence; low-confidence estimates are marked with ~.
Meeting times
Most recent first
Mon, Wed, 12:00 PM–1:15 PMBP3162025
Mon, Thu, 1:25 PM–2:40 PMASEC3042022-120102009
Wed, 2:00 PM–2:50 PMJefferson Academic Center JF2222022-2