Computer Science
Applied Machine Learning
3 credits
Application of machine learning tools, with an emphasis on solving practical problems. Data cleaning, feature extraction, supervised and unsupervised machine learning, reproducible workflows, and communicating results.
Average
80.4%
Students
3987
Sections
32
Grade distribution. <50: 66, 50-54: 36, 55-59: 53, 60-63: 89, 64-67: 177, 68-71: 258, 72-75: 336, 76-79: 543, 80-84: 768, 85-89: 826, 90-100: 801.
Historical Averages
2019–2025
Lowest section avg
76.5%
Highest section avg
88.4%
Terms offered
11
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 |
|---|---|---|---|---|
| 911 | Lecture | Open | Mon 10:00-12:30, Wed 10:00-12:30, Fri 10:00-12:30 | Firas Moosvi |
| D1B | Discussion | Open | Tue 10:00-11:00, Thu 10:00-11:00 | — |
| D1C | Discussion | Open | Tue 11:00-12:00, Thu 11:00-12:00 | — |
| D1E | Discussion | Open | Wed 13:00-14:00, Fri 13:00-14:00 | — |
| D1F | Discussion | Open | Wed 13:00-14:00, Fri 13:00-14:00 | — |
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