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Lecture Plan

May be updated during the semester.
WeekDateSection
1W Aug 281.1. Systems of linear equations
F Aug 301.2. Row reduction and echelon forms
2M Sep 2Labor Day
W Sep 41.3. Vector equations
F Sep 61.4. The matrix equation Ax=b
3M Sep 91.5. Solution sets of linear systems
W Sep 111.7. Linear independence
F Sep 131.8. Introduction to linear transformations
4M Sep 161.9. The matrix of a linear transformation
W Sep 182.1. Matrix operations
F Sep 202.2. Inverse of a matrix
5M Sep 232.3. Characterizations of invertible matrices
W Sep 253.1. Introduction to determinants
F Sep 273.2. Properties of determinants
6M Sep 30Review
T Oct 1First prelim exam
W Oct 23.3. Determinants as area or volume; linear transformations
(skip subsections on Cramer's rule and formula for A-1)
F Oct 44.1. Vector spaces and subspaces
7M Oct 74.2. Null spaces, column spaces, and linear transformations
W Oct 94.3. Linearly independent sets; bases
F Oct 114.4. Coordinate systems
8M 14 Oct–T 15 Oct   Fall Break
W Oct 164.5. The dimension of a vector space
F Oct 184.6. Rank
9M Oct 215.1. Eigenvectors and eigenvalues
W Oct 235.2. The characteristic equation
F Oct 255.3. Diagonalization
10M Oct 285.4. Eigenvectors and linear transformations
W Oct 30Appendix B. Complex numbers
F Nov 15.5. Complex eigenvalues
11M Nov 4Review
T Nov 5Second prelim exam
W Nov 65.6. Discrete dynamical systems
F Nov 85.7. Applications to differential equations
12M Nov 116.1. Inner product, length, and orthogonality
W Nov 136.2. Orthogonal sets
F Nov 156.3. Orthogonal projections
13M Nov 186.4. The Gram-Schmidt process
W Nov 206.5. Least-squares problems
(skip subsection on alternative calculations)
6.6. Least-squares lines (skip other subsections)
F 22 Nov6.7. Inner product spaces
14M Nov 257.1. Diagonalization of symmetric matrices
W Nov 27Surprise topic (not in book and not on exam)
F Nov 29Thanksgiving Break
15M Dec 27.2. Quadratic forms
W Dec 47.4. The singular value decomposition
(skip subsection on applications)
F Dec 6Review
TBAFinal exam