This schedule is tentative; we'll update it throughout the quarter.
Date  Book chapters  Topics 
6/21  1  Introduction, Vectors 
6/23    No class 
6/28  2  Linear functions 
6/29    Intro to Julia Tutorial 
6/30  3  Norm and distance 
7/5  4,5  Clustering, Linear independence 
7/7  6,7  Matrices, Matrix examples 
7/12  8,9  Linear equations, Linear dynamical systems 
7/14  9,10  Linear dynamical systems, Matrix multiplication 
7/19  11  Matrix inverses 
7/21  12,13  Least squares, Least squares data fitting 
7/26  13  Least squares data fitting, Regression 
7/28  14  Regression, Least squares classification 
8/2  14,15  Least squares classification, Multiobjective least squares 
8/4  15  Multiobjective least squares with applications 
8/9  16  Constrained least squares 
8/11  16,17  Constrained least squares applications and Review 

