I highly recommend to read the corresponding part of the hyper-textbook before the lecture. The link is provided below.
23-Aug: Optimization Models.
28-Aug: Vectors.
30-Aug: Matrices.
4-Sep: Linear Equations, I.
6-Sep: Linear Equations, II. Least-squares.
11-Sep: Least-squares: variants, applications.
13-Sep: Symmetric Matrices and Principal Component Analysis (PCA).
18-Sep: Singular value decomposition.
20-Sep: Singular value decomposition, II. Review of linear algebra.
25-Sep: Convex sets and functions.
27-Sep: Convex problems.
2-Oct: Linear programming.
4-Oct: Quadratic programming.
9-Oct: Review.
11-Oct: Midterm.
16-Oct: Second-order cone programming.
18-Oct: Robust optimization (I).
23-Oct: Second-order cone programming (II), robust optimization (II).
25-Oct: Semi-definite programming (I).
30-Oct: Semi-definite programming (II).
1-Nov: Geometric programming.
6-Nov: Weak duality.
8-Nov: Strong duality.
13-Nov: Applications of duality.
15-Nov: Summary and review.
20-Nov: Overview of algorithms for large-scale convex optimization.
22-Nov: Machine learning applications.
27-Nov: Machine learning applications (II).
29-Nov: Invited speaker.
14-Dec: Final (W 12-1P, 237 CORY).