This schedule is tentative; we'll update it throughout the quarter.
Date  Book chapters  Slides 
9/27  1  Introduction, Vectors 
9/29  1, 2, 3  Vectors, Norm and distance 
10/4  3, 4  Clustering, Audio 
10/6  5, 6  Linear independence, Matrices 
10/11  6, 7, 8  Matrices, Linear equations 
10/13  8, 9, 10  Stoichiometry, Population dynamics, Matrix multiplication 
10/18  9, 10  Matrix multiplication, Linear dynamical systems 
10/20  11  Matrix inverses 
10/25  11  Matrix inverses, Least squares 
10/27  Midterm  — 
11/1  12  Least squares data fitting 
11/3  12, 13  Regression, Least squares classification 
11/8  13, 14  Least squares classification, Multiobjective least squares 
11/10  15  Multiobjective least squares 
11/15  16  Time series 
11/17  16  Constrained least squares, Steganography 
11/29  17  Portfolio optimization 
12/1  17  Control 
12/6  18  Dynamic system estimation, Nonlinear least squares 
12/8  118  Review 
12/14  Final  —

