Electrical and Computer Engineering
Fundamentals of Visual Computing
3 credits
Computational and mathematical methods for data driven processing and model-based analysis of digital images and other visual data: perception, capture; representation, modelling; enhancement, restoration; registration, fusion; feature extraction, segmentation; recognition; practical applications.
Average
86.4%
Students
175
Sections
7
Grade distribution. <50: 0, 50-54: 0, 55-59: 0, 60-63: 1, 64-67: 4, 68-71: 1, 72-75: 11, 76-79: 11, 80-84: 19, 85-89: 35, 90-100: 78.
Historical Averages
2014–2024
Lowest section avg
77.8%
Highest section avg
95.1%
Terms offered
7
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 |
|---|---|---|---|---|
| 201 | Lecture | Open | Wed 09:30-11:00, Fri 09:30-11:00 | Xiaoxiao Li |
No course reviews yet. If you took this course, yours would be the first anyone reads.