Computer Science
Numerical Linear Algebra
3 credits
Investigation of the practical techniques of computational linear algebra. Orthogonal transformations and their application to the solution of linear equations, the eigenproblem, and linear least squares. Complete solution of the symmetric eigenproblem, including bisection and the QR method. Refinements of these techniques for sparse matrices.
Average
71.4%
Students
43
Sections
2
Grade distribution. <50: 2, 50-54: 4, 55-59: 3, 60-63: 5, 64-67: 3, 68-71: 6, 72-75: 3, 76-79: 1, 80-84: 4, 85-89: 3, 90-100: 9.
Historical Averages
2022–2024
Lowest section avg
63.4%
Highest section avg
79.7%
Terms offered
2
Grade data from ubc-pair-grade-data.
| Section | Activity | Status | Time | Instructor |
|---|---|---|---|---|
| 101 | Lecture | Open | Mon 16:00-17:00, Wed 16:00-17:00, Fri 16:00-17:00 | Chen Greif |
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