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Schedule for Fall 98, 8:45 MWF, Linear Algebra

Mon Tue Wed Thu Fri
August 24
Section 1.1
Systems of
Linear Equations
25



26
Section 1.2
Row Reduction and
Echelon Forms
27



28
Meet in the
Computer Lab
September 31
Section 1.3
Vector Equations
1



2
Section 1.4
The Matrix
Equation Ax=b
3



4
Sectin 1.5
Solution Sets of
Linear Systems
7
Labor
Day
Recess
8



9
Section 1.6
Linear
Independence
10



11
Section 1.7
Linear
Transformations
14
Section 1.8
The Matrix
of a Linear
Transformation
15



16
Section 1.9
Linear Models in
Business, Science,
and Engineering
17
18 Catch Up Day
21
Section 2.1
Matrix
Operations
22



23
Section 2.2
Inverse of
a Matrix
24



25
Section 2.3
Characteristics of
Invertible Matrices
28
Section 2.4
Partitioned
Matrices
29



30
Section 2.5
Matrix
Factorizations
1



2
Section 2.6
Iterative Solutions
of Linear Systems
October 5
Section 2.8
Computer
Graphics
6

7
Section 4.1
Vector Spaces
and Subspaces
8

9
Section 4.2
Null Spaces,
Column Spaces, and
Linear Transformations
12
Section 4.3
Linearly Independent
Sets: Bases
13
14
Section 4.4
Coordinate Systems
15
16
Fall Break
19
Catch-up Day
20
21
Section 4.5
Dimension of a
Vector Space
22
23
Section 4.6
Rank
26
Take-Home Exam

27
28
Section 4.7
Change of
Basis
29
30
Section 4.9
Application to
Markov Chains
November 2
Section 5.1
Eigenvectors
and Eigenvalues
3
4
Section 5.2
The Characteristic
Equation
5
6
Section 5.3
Diagonalization
9
Section 5.4
Eigenvectors and
Linear Transformations
10
11
Section 5.5
Complex
Eigenvalues
12
13
Section 5.7
Applications to
Differential Eq.s
16
Catch up Day

17
18
Section 6.1
Inner Product,
Length, and
Orthogonality
19
20
Section 6.2
Orthogonal Sets
23
Section 6.3
Orthogonal
Projections
24
25
Thanksgiving Break
26


27


December 30
Section 6.4
Gram-Schmidt
Process
1
2
Section 6.5
Least-Squares
Problems
3
4
Section 7.1
Diagonalization of
Symmetric Matrices
7
Section 7.2
Quadratic Forms
8
9
Section 7.5
Applications to
Image Processing
10
11
Review
14



15 16
Final Exam
8:00-10:00
17 18