Applied Math I: Linear Algebra
10:10am–11:25am
SEELEY W. MUDD BUILDING MUD 627
Morningside
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
Description
Lect: 3. Matrix algebra, elementary matrices, inverses, rank, determinants. Computational aspects of solving systems of linear equations: existence-uniqueness of solutions, Gaussian elimination, scaling, ill-conditioned systems, iterative techniques. Vector spaces, bases, dimension. Eigenvalue problems, diagonalization, inner products, unitary matrices
Reviews
Course experience
n=1, 2023
Aggregated across everyone who has taught this course.
Teaching quality
3.5 / 5
Grading fairness
No signal
Workload
No signal
Difficulty
4.0 / 5 · Hard
Overall sentiment
Positive
Would take again
Majority say yes
Sources: CULPA (1)
In your week
Where it meets
Flat map — motion reduced
Workload and grading
- Grading
- Not published
- Format
- Not published
- Credits
- 3 credits
Reported workload
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