Data Science
Spatial and Temporal Models
1 credits
Time series. State space and change point detection. Hidden Markov Models. Gaussian processes.
Average
91.0%
Students
691
Sections
10
Grade distribution. <50: 0, 50-54: 0, 55-59: 0, 60-63: 1, 64-67: 0, 68-71: 2, 72-75: 4, 76-79: 21, 80-84: 57, 85-89: 148, 90-100: 456.
Historical Averages
2016–2024
Lowest section avg
83.7%
Highest section avg
94.8%
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 | Prajeet Bajpai |
| 002 | Lecture | Open | Mon 09:30-11:00, Wed 09:30-11:00 | Prajeet Bajpai |
| L01 | Laboratory | Open | Tue 14:00-16:00 | Prajeet Bajpai |
| L02 | Laboratory | Open | Thu 14:00-16:00 | Prajeet Bajpai |
| L03 | Laboratory | Open | Mon 14:00-16:00 | Prajeet Bajpai |
| L04 | Laboratory | Open | Wed 14:00-16:00 | Prajeet Bajpai |
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