MATH498R

Selected Topics in Mathematics; Experiential Learning: Mathematics of Sports Performance Analytics

Reviews for this courseTestudo

Students will gain exciting hands-on experience in analytics of sports performance with relation to mathematics, statistics, and geometry of data sets. The course will involve programming via Python as well as other software.

Sister Courses: MATH498, MATH498E, MATH498K, MATH498L, MATH498T

Past Semesters

Yanir Rubinstein

1 review
Average rating: 5.00

Yanir Rubinstein

1 review
Average rating: 5.00

During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.77 between 24 students*

MATH498R Grade Distribution+-05101520253035404550556065707580859095% of studentsABCDFWother
A-: 4.17%
A: 70.83%
A+: 16.67%
B-: 4.17%
W: 4.17%
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.