This schedule is tentative; we'll update it throughout the quarter.

Date Book chapters Slides
9/26 1, 2 Introduction, Vectors
9/28 2, 3 Vectors, Norm and distance
10/3 3, 4 Clustering
10/5 5, 6 Linear independence, Matrices
10/10 6, 7, 8 Matrices, Linear equations
10/12 8, 9, 10 Stoichiometry, Population dynamics, Matrix multiplication
10/17 9, 10 Linear dynamical systems, Matrix multiplication
10/19 11 Matrix inverses
10/24 Midterm  — 
10/26 12 Least squares
10/31 13 Least squares data fitting
11/2 13, 14 Regression, Least squares classification
11/7 15 Multi-objective least squares
11/9 15 Multi-objective least squares
11/14 16 Time series
11/16 16 Constrained least squares
11/28 17 Portfolio optimization
11/30 17 Control, Dynamic system estimation
12/5 18 Nonlinear least squares
12/7 1-18 Review
12/13 Final  —