Data Science
Experimentation and Causal Inference
1 credits
Randomization. A/B testing. Blocked designs. Orthogonality. Batch effects, confounding. Causality. Contemporary examples. Simulations.
Average
90.2%
Students
717
Sections
10
Grade distribution. <50: 0, 50-54: 0, 55-59: 0, 60-63: 1, 64-67: 1, 68-71: 5, 72-75: 12, 76-79: 28, 80-84: 73, 85-89: 141, 90-100: 453.
Historical Averages
2016–2024
Lowest section avg
84.3%
Highest section avg
95.0%
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 | Mon 09:30-11:00, Wed 09:30-11:00 | Ilya Musabirov |
| 002 | Lecture | Open | Tue 08:00-09:30, Thu 08:00-09:30 | Ilya Musabirov |
| L01 | Laboratory | Open | Wed 14:00-16:00 | Ilya Musabirov |
| L02 | Laboratory | Open | Mon 14:00-16:00 | Ilya Musabirov |
| L03 | Laboratory | Open | Thu 14:00-16:00 | Ilya Musabirov |
| L04 | Laboratory | Open | Tue 14:00-16:00 | Ilya Musabirov |
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