Linear Algebra I (MATH*1160)
Code and section: MATH*1160*01
Term: Fall
Details
This course provides an introduction to linear algebra in Euclidean space. Topics covered include: N-dimensional vectors, dot product, matrices and matrix operations, systems of linear equations and Gaussian elimination, linear independence, subspaces, basis and dimension, matrix inverse, matrix rank and determinant, eigenvalues, eigenvectors and diagonalization, orthogonalization and projections, linear transformations. Some fundamental proofs and applications of these topics will be included.
Syllabus
| Attachment | Size |
|---|---|
 Course Outline (Fall 2015) **MATH*2160** | 99.81 KB |
| Course Outline (Fall 2016) | 90.07 KB |
| Course Outline (Fall 2017) | 150.24 KB |
| Course Outline (Fall 2018) | 105.18 KB |
| Course Outline (Fall 2019) | 165.7 KB |
| Course Outline (Fall 2020) | 107.85 KB |
| Course Outline (Fall 2021) | 138.15 KB |
| Course Outline (Winter 2022) | 184 KB |
| Course Outline (Fall 2022) | 183.13 KB |
| Course Outline (Fall 2023) | 180.3 KB |