| Week 1 |
Review of eigenvectors, canonical forms,
exponentials |
| Week 2 |
Matrix and tensors products,
decompositions, resource usage |
| Week 3 |
Singular value decompositions,
Non-negative matrix factorization |
| Week 4 |
Stochastic gradient descent |
| Week 5 |
Principal component analysis |
| Week 6 |
L1 norms |
| Week 7 |
Sparse matrices |
| Week 8 |
L1 and L2 regression |
| Week 9 |
Regularization and noise |
| Week 10 |
Cholesky and QR factorization |
| Week 11 |
Conditioning and instability |
| Week 12 |
Practical eigenvalue decompositions, power
method |
| Week 13 |
Practical QR factorization,
Gram-Schmidt |
| Week 14 |
Householder, stability |
| Week 15 |
Exams |