Calendar*

Day Material covered in the lecture
Week 1
Sept 25 Introduction
Sept 27 1.1-1.4: Gaussian Elimination
Week 2
Sept 30 1.1-1.4: Gaussian Elimination
Oct 2 1.1-1.4: Gaussian Elimination
Oct 4 1.5,1.6: Matrix operations
Week 3
Oct 7 1.5,1.6: Matrix operations
Oct 9 1.7: Linear independence
Oct 11 1.9: Data Fitting
Quiz #1
Week 4
Oct 14 1.9: Matrix inverses
Oct 16 1.9: Matrix inverses
Oct 18 3.1-3.3: Subspaces
Week 5
Oct 21 3.1-3.3: Subspaces
Oct 23 3.1-3.3: Subspaces
Oct 25 3.4-3.5: Bases and dimension
Week 6
Oct 28 3.4-3.5: Bases and dimension
Oct 30 Review
Nov 1 Midterm
Week 7
Nov 4 3.4-3.5: Bases and dimension
Nov 6 3.6-3.7: Orthogonal bases and linear trans.
Nov 8 3.6-3.7: Orthogonal bases and linear trans.
Week 8
Nov 11 Veteran's Day: NO Class
Nov 13 3.8,3.9: Least Squares
Nov 15 3.8,3.9: Least Squares
Quiz #2
Week 9
Nov 18 4.1-4.3: Eigenvalues and determinants
Nov 20 4.1-4.3: Eigenvalues and determinants
Nov 22 4.4-4.5: Eigenvalues, char. poly., eigenspaces
Week 10
Nov 25 4.4-4.5: Eigenvalues, char. poly., eigenspaces
Quiz #3
Nov 27 4.8: Applications
Nov 29 Thanksgiving: NO Class
Week 11
Dec 2 4.6,4.7: Complex eigenvals., similarity, diagonalization.
Dec 4 4.6,4.7: Complex eigenvals., similarity, diagonalization.
Dec 6 Catch-Up Review
Week 12
Dec 11 Final: 8:30am-10:20am DEM 012

*Subject to change, keep checking for updates.