Chemical and Biological Engineering
Optimization Methods
3 credits
Basic concepts of optimization and structure of mathematical models. Gradient methods. Direct search methods. Gauss-Newton method for parameter optimization in models described by ordinary and partial differential equations. Constrained optimization. Statistical inferences. Design of experiments.
Average
91.3%
Students
60
Sections
5
Grade distribution. <50: 0, 50-54: 0, 55-59: 0, 60-63: 0, 64-67: 0, 68-71: 0, 72-75: 0, 76-79: 0, 80-84: 6, 85-89: 6, 90-100: 40.
Historical Averages
2014–2024
Lowest section avg
85.5%
Highest section avg
95.6%
Terms offered
5
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 | Mon 11:30-13:00, Wed 11:30-13:00 | Yankai CaoBhushan Gopaluni |
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