Kinesiology
Computational Methods for Data Acquisition and Signal Processing in Kinesiology
3 credits
Hands-on laboratory course with an emphasis on developing critical computational research skills for the acquisition, processing and presentation of data related to human movements. Recommended prerequisite: Undergraduate degree in Kinesiology (or related field) including neuromechanical science courses.
Average
90.7%
Students
26
Sections
2
Grade distribution. <50: 0, 50-54: 0, 55-59: 0, 60-63: 0, 64-67: 0, 68-71: 0, 72-75: 3, 76-79: 0, 80-84: 1, 85-89: 2, 90-100: 20.
Historical Averages
2023–2024
Lowest section avg
89.3%
Highest section avg
91.9%
Terms offered
2
Grade data from ubc-pair-grade-data.
| Section | Activity | Status | Time | Instructor |
|---|---|---|---|---|
| 001 | Seminar | Open | Tue 09:00-12:00 | Jean-Sebastien Blouin |
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