KNES474

Quantitative Methods in Cognitive Motor Behavior - MATLAB

Prerequisite: MATH115 or equivalent; or permission of Kinesiology department. Recommended: MATH240. Restriction: Must have earned a minimum of 75 credits. Credit only granted for: KNES498Q or KNES474. Formerly: KNES498Q. Includes basic computer programming, algorithm, and quantitative techniques for time-series data with an emphasis on, but not limited to, human movement. These topics will be taught using MATLAB, a programming language and environment for numerical computation, data analysis, and visualization.

Fall 2025

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Past Semesters

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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 2.93 between 25 students*

KNES474 Grade Distribution+-051015202530354045505560% of studentsABCDFWother
A-: 8%
A: 24%
A+: 24%
B-: 4%
B: 4%
B+: 12%
C+: 4%
W: 20%
* "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.