Computer Science
Numerical Approximation and Discretization
3 credits
Numerical techniques for basic mathematical processes involving discretization, and their analysis. Interpolation and approximation, including splines and least squares data fitting; numerical differentiation and integration; introduction to numerical initial value ordinary differential equations.
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Average
76.5%
Students
591
Sections
8
Historical Averages
2018–2025
Lowest section avg
69.8%
Highest section avg
87.2%
Terms offered
8
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 | Enrolled | Time | Instructor |
|---|---|---|---|---|
| 201 | Lecture | — | Mon 14:00-15:00, Wed 14:00-15:00, Fri 14:00-15:00 | Joel Friedman |
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