EEE126 Linear Algebra
2024-2025 Spring
Weekly schedule
| Week | Part | Topic |
|---|---|---|
| 1 | Introduction and application examples | |
| 2 | Vectors | Vector fundamentals, linear functions |
| 3 | Vectors | Norm and distance, clustering |
| 4 | Vectors | Linear independence |
| 5 | Matrices | Matrix fundamentals, linear equation systems |
| 6 | Matrices | Matrix multiplication, matrix inverses |
| 7 | Matrices | Fundamental subspaces, determinants |
| 8 | Midterm exam | |
| 9 | Matrices | Eigenvalues and eigenvectors, positive definite matrices |
| 10 | Least squares | Least squares fundamentals |
| 11 | Least squares | Data fitting and classification |
| 12 | Least squares | Multi-objective least squares |
| 13 | Least squares | Constrained least squares |
| 14 | Engineering applications | Electrical circuit analysis |
| 15 | Engineering applications | Control and estimation |
Resources
textbook: Introduction to Applied Linear Algebra – Vectors, Matrices, and Least Squares (Boyd&Vandenberghe) (main textbook for the course)
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