| Lecture |
Date |
Section in Text
|
Brief Description
|
|---|
| Day 1 |
Fri. June 26
|
1.1
|
Systems of Linear Equations
|
| Day 2 |
Mon. June 29
|
1.2
|
Row Reduction and Echelon Forms
|
| Day 3 |
Wed. July 1
|
1.3 1.4
|
Vector Equations; Matrix Equations
|
| Day 4 |
Mon. July 6
|
1.4 -1.5
|
The Matrix Equation Ax=b and Solution Sets of Linear Equations
|
| Day 5 |
Wed. July 8
|
1.7
|
Linear Independence
|
| Day 6 |
Fri. July 10
|
4.1, 4.2
|
Vector spaces, linear transformation, null space, column space
|
| Day 7 |
Mon. July 13
|
4.2, 1.9
|
Reading Injectivity and Surjectivity of T: Rn --> Rm from the matrix
|
| Day 8 |
Wed. July 15
|
1.9, 2.1
|
Matrix Operations
|
| Day 9 |
Fri. July 17
|
2.2
|
Inverse of a Matrix
|
| Day 10 |
Mon. July 20 |
2.3
|
Invertible Matrix Theorem
|
| Day 11 |
Wed. July 22 |
4.3 |
Linear independent sets; bases |
| Day 12 |
Fri. July 24
|
2.9 |
Dimension and rank
|
| Day 13 |
Mon. July 27 |
4.4/4.7/5.4
|
Coordinates, matrix of a transformation, change of basis
|
| Day 14 |
Wed. July 29 |
4.7, 3.1
|
Determinants and Properties
|
| Day 15 |
Fri. July 31 |
3.2
|
Properties of Determinants
|
| Day 16 |
Mon. August 3 |
5.1, 5.2
|
Eigenvalues and Characteristic Equation
|
| Day 17 |
Wed. August 5 |
5.2, 5.3
|
Characteristic Equation, Diagonalization
|
| Day 18 |
Fri. August 7
|
5.3, 5.4
|
Diagonalization and linear transformations
|
| Day 19 |
Mon. August 10 |
6.1, 6.2
|
Inner products and Orthogonality
|
| Day 20 |
Wed. August 12 |
6.3
|
Projections
|
| Day 21 |
Fri. August 14 |
6.4
|
Gram-Schmidt Process
|
| Day 22 |
Mon. August 17 |
7.1
|
Diagonalization of Symmetric Matrices
|
| Day 23 |
Wed. August 19
|
4.9, 5.8
|
Intro to Markov Chains, Iteration Method for Eigenvalues
|
| Day 24
|
Fri. August 21
|
4.9, 5.8
|
Application: Markov Chains & Google's page rank
|
| Day 25 |
Mon. August 24 |
7.4
|
Application: Singular Value decomposition (SVD)
|
| Day 26 |
Wed. August 26 |
7.5
|
Application: Principal Component Analysis (PCA) & Image processing
|