Kinesiology
Gap Analysis
3 credits
Using analytics to obtain, describe, and visualize data to create a sport profile. Determine optimal programming decisions for coached athletes based on their performance pathway and gold medal profile. Apply research methods and principles of scientific inquiry, performance analysis, descriptive, prescriptive, and predictive analytics to improve athlete development and performance.
Average
83.7%
Students
119
Sections
8
Grade distribution. <50: 4, 50-54: 0, 55-59: 1, 60-63: 1, 64-67: 4, 68-71: 0, 72-75: 1, 76-79: 9, 80-84: 14, 85-89: 34, 90-100: 42.
Historical Averages
2015–2023
Lowest section avg
77.4%
Highest section avg
90.4%
Terms offered
8
Some grade ranges were withheld by UBC to protect student privacy and are not shown above.
Grade data from ubc-pair-grade-data.
| Section | Activity | Status | Time | Instructor |
|---|---|---|---|---|
| 001 | Seminar | Open | — | Anthony Van Neutegem |
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