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, Multi-objective least squares
11/10 15 Multi-objective 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 1-18 Review
12/14 Final  —