Data Science
Regression I
1 credits
Linear models: continuous response; one or more categorical covariates and/or one or more continuous covariates.
Average
91.0%
Students
915
Sections
10
Grade distribution. <50: 0, 50-54: 0, 55-59: 1, 60-63: 1, 64-67: 1, 68-71: 4, 72-75: 16, 76-79: 23, 80-84: 60, 85-89: 170, 90-100: 634.
Historical Averages
2016–2024
Lowest section avg
87.2%
Highest section avg
94.2%
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 09:30-11:00, Thu 09:30-11:00 | Rodolfo Lourenzutti |
| 002 | Lecture | Open | Mon 11:00-12:30, Wed 11:00-12:30 | Payman Nickchi |
| L01 | Laboratory | Open | Tue 14:00-16:00 | Rodolfo Lourenzutti |
| L02 | Laboratory | Open | Thu 14:00-16:00 | Rodolfo Lourenzutti |
| L03 | Laboratory | Open | Mon 14:00-16:00 | Payman Nickchi |
| L04 | Laboratory | Open | Wed 14:00-16:00 | Payman Nickchi |
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