TH 9:30-10:45am
Thornton E303
M: 3-4pm, T: 4-5pm, W: 4-5pm, Kerchof 213
| Lecture Description | File |
|---|---|
| Lecture 1: Systems of Matrices | |
| Lecture 2: Gaussian Eliminiation | |
| Lecture 3: The vector space $\mathbb R^n$ | |
| Lecture 4: Span, Independences, Basis, and Dot Product | |
| Lecture 5: Geometry and Applications | |
| Lecture 6: Matrix Operations | |
| Lecture 7: More Matrix Operations | |
| Lecture 8: Inverse Matrices & Matrix Transformations | |
| Lecture 9: LU Decomposition | |
| Lecture 10: Matrix Operations & Linear Transformations | |
| Lecture 11: Applications | |
| Lecture 12: Determinants | |
| Lecture 13: Determinants & Inverse Matrices | |
| Lecture 16: Abstract Vector Spaces | |
| Lecture 17: Linear Independence & Basis | |
| Lecture 18: Basis & Rank | |
| Lecture 19: Projections and Gram-Schmidt | |
| Lecture 20: Linear Transformations, Kernel & Range | |
| Lecture 21: 1-1 and onto, Invertible transformations, and Systems | |
| Lecture 22: Quadratic Forms | |
| Lecture 23: Coordinate Vectors | |
| Lecture 24: Matrices and Linear Transformations | |
| Lecture 25: Inner Products & Fourier Series | |
| Lecture 26: Applications and Least Squares |