MAT2243
Revision as of 00:49, 30 March 2023 by Juan.gutierrez3 (talk | contribs) (→List of Topics: Corrected formatting)
List of Topics
| Week | Section | Topic | Prerequisites | SLOs |
|---|---|---|---|---|
| 1 | Notions of linear systems of equations to introduce the concepts of vector and matrices. | |||
| 2 | Vector and matrix operations: Dot and cross products, matrix transpose, determinants. | |||
| 3 | Vector and matrix operations: Matrix addition, multiplication and inverse. | |||
| 4 | Cramer's rule and solutions of linear systems | |||
| 5 | Full rank, undetermined, and overdetermined systems. Least square solutions | |||
| 6 | Eigenvalues and eigenvectors. Canonical solution to linear systems of differential equations. | |||
| 7 | Calculus operations in vectors and matrices, i.e. how to derive a matrix with respect to a vector? | |||
| 8 | Optimization: Linear problems, and nonlinear problems (constrained and unconstrained) | |||
| 9 | Lagrange multiplier | |||
| 10 | Taylor series in one and multiple variables. Jacobians and Hessians, i.e. nabla and Laplace operators. | |||
| 11 | Principal component analysis | |||
| 12 | Gradient descent | |||
| 13 | Neural networks as nonlinear transformations | |||
| 14 | Implementation of a simple neural network with gradient descent |