MAT2243
Revision as of 00:45, 30 March 2023 by Juan.gutierrez3 (talk | contribs) (Created page with "==List of Topics== {| class="wikitable" ! Week !! Section !! Topic !! Prerequisites !! SLOs !! |- | 1 || || Notions of linear systems of equations to introduce the concepts...")
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 |