Day Topic Reading
9/3 Organization, systems of linear equations Section 1.1 9/5 Lab: Maple tutorial Section 1.2 9/8 Row reduction and echelon forms Section 1.3 9/10 Vector and matrix equations Section 1.4 9/12 Lab: Systems of Linear Equations Section 1.5 9/15 Linear independence Section 1.6 9/17 Linear transformations Section 1.7 9/19 Lab: Matrix Arithmetic Section 1.8 9/22 Linear models Section 1.9 9/24 Matrix operations Section 2.1 9/26 Lab: Invertible Matrices Section 2.2 9/29 More on invertible matrices Section 2.3 10/1 Matrix Factorizations Section 2.5 10/2 Lab: Determinants Section 3.1 10/6 Review handout 10/8 Test #1 10/10 Determinants Section 3.2
10/13 Fall Break 10/15 Vector spaces and subspaces Section 4.1 handout 10/17 Lab: Rotations Section 4.2
10/20 Bases, linear transformations Sections 4.3, 4.4 10/22 Dimension Section 4.5 10/24 Lab: Markov Chains Section 4.6
10/27 Markov chains Section 4.9 10/29 Eigenvectors and eigenvalues Section 5.1 10/31 Eigenvalues and Eigenvectors Section 5.2
11/3 Diagonalization Section 5.3 11/5 Eigenvectors and linear transformations Section 5.4 11/7 Lab: Leslie Models Section 5.5
11/10 Discrete dynamical systems Section 5.6 11/12 Application to differential equations Section 5.7 11/14 Review
11/17 Test #2 11/19 Inner products Section 6.1 11/21 Lab: Orthogonality Section 6.2
11/24 Orthogonal projections Section 6.3 11/26 Gramm Schmidt process Section 6.4 11/28 Thanksgiving Break
12/1 Applications to linear models Section 6.6 12/3 Open 12/5 Lab: Least Squares and Pseudo-Inverses
12/8 Review 12/10 Evaluation
Last modified: August 20, 1997