Data Science
Communication and Argumentation
1 credits
Claims, reasons, and evidence. Strengths and weaknesses of models. Effective oral and written presentation of scientific results, including interpretation of data and recognition of assumptions, bias, validity, and reliability. Citations, references, and peer-review.
Average
91.3%
Students
719
Sections
10
Grade distribution. <50: 0, 50-54: 0, 55-59: 0, 60-63: 3, 64-67: 1, 68-71: 3, 72-75: 4, 76-79: 19, 80-84: 69, 85-89: 116, 90-100: 503.
Historical Averages
2016–2024
Lowest section avg
83.0%
Highest section avg
95.6%
Terms offered
9
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 | Lecture | Open | Tue 08:00-09:30, Thu 08:00-09:30 | Grace Tompkins |
| 002 | Lecture | Open | Mon 09:30-11:00, Wed 09:30-11:00 | Gittu George |
| L01 | Laboratory | Open | Tue 14:00-16:00 | Grace Tompkins |
| L02 | Laboratory | Open | Tue 14:00-16:00 | Grace Tompkins |
| L03 | Laboratory | Open | Mon 14:00-16:00 | Gittu George |
| L04 | Laboratory | Open | Wed 14:00-16:00 | Gittu George |
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