Weeks 
Dates 
Sections 
Handouts 
Homework

Due
Dates

1

Jan 17

Section 1.1 
Systems
of Linear Equations 
Section
1.1: # 14, 16
Section 1.2: # 30

Jan 26

Jan 19

Section 1.2 
Row
Reduction and Echelon Forms, Part 1

2

Jan 24, 26

Section 1.2 
Row
Reduction and Echelon Forms, Part 2

Section
1.3: # 29
Section 1.4: # 36

Feb 2 
Section 1.3

Vector
Equations

Section 1.4 
The
Matrix Equation Ax = b 
3

Jan 31

Section 1.5 
Solution
Sets of Linear Systems

Section
1.5: # 14, 22, 37
Section 1.6: # 4, 6, 12

Feb 9

Feb 2

Section 1.6 
Applications
of Linear Systems

4

Feb 7, 9

Section 1.7 
Linear
Independence

Section
1.7: # 41
Section 1.8: # 32, 33
Section 1.9: # 26, 28, 32

Feb 16 
Section 1.8 
Introduction
to Linear Transformations

Section 1.9 
The
Matrix of a Linear Transformation

5

Feb 14

Section 1.10 
Linear Models in Business,
Science, and Engineering

Section
1.10: # 2, 6, 10
Section 2.1: # 40

Feb 23

Section 2.1 
Matrix
Operations 
Feb
16 
Sections
1.11.9 
MIDTERM 1

6

Feb 21, 23

Section 2.2 
The
Inverse of a Matrix

Section
2.2: # 33
Section 2.3: # 34
Section 2.4: # 4, 6, 12, 15, 21 
Mar 2

Section 2.3 
Characterizations
of Invertible Matrices

Section 2.4 
Partitioned Matrices

7

Feb 28, Mar 2

Section 2.5 
Matrix Factorizations

Section 2.5: # 4, 10, 16

Mar 9

Section 2.8 
Subspaces
of R^{n
} 
Section 2.9 
Dimension
and Rank

8

Mar 7, 9

Section 3.1 
Introduction
to Determinants

Section
2.8: # 38
Section 2.9: # 24
Section 3.1: # 42
Section 3.2: # 34
Section 3.3: # 4, 6, 31

Mar 23

Section 3.2 
Properties
of Determinants

Section 3.3 
Cramerâ€™s
Rule, Volume, and Linear Transformations

9

Mar
1318

Spring
break

10

Mar 21, 23 
Section 4.1 
Vector
Spaces and Subspaces

Section 4.1: # 32
Section 4.2: # 34
Section 4.3: # 28

Mar 30

Section 4.2 
Null
Spaces, Column Spaces, and Linear
Transformations

Section 4.3 
Linearly
Independent Sets; Bases

11

Mar 28, 30 
Section 4.4 
Coordinate
Systems

Section 4.4: # 38
Section 4.5: # 34
Section 4.6: # 32
Section 4.7: # 1, 4, 6, 10, 12, 14

Apr 6

Section 4.5 
The
Dimension of a Vector Space

Section 4.6 
Rank

Section 4.7 
Change
of Basis 
12

Apr 4

Section 5.1 
Eigenvectors
and Eigenvalues

Section
5.1: # 26, 27

Apr 13

Apr
6 
Sections
2.12.5, 2.8, 2.9, 3.13.3, 4.14.7

MIDTERM 2

13

Apr 11, 13

Section 5.2 
The
Characteristic Equation

Section
5.2: # 25
Section 5.4: # 2, 4, 6, 8, 12, 16, 30

Apr 20

Section 5.3 
Diagonalization

Section 5.4 
Eigenvectors
and Linear Transformations

14

Apr 18, 20 
Section 6.1 
Inner
Product, Length, and Orthogonality

Section 6.2: # 25
Section 6.3: # 23, 24

Apr 27

Section 6.2 
Orthogonal
Sets

Section 6.3 
Orthogonal
Projections

15

Apr 25, 27 
Section 6.4 
The
GramSchmidt Process



Section 6.5 
LeastSquares
Problems 
Section 6.6 
Applications to Linear Models 
16

May
2, 4

Section 6.7 
Inner
Product Spaces 
Section
6.7: # 4, 6, 8, 9, 10, 22, 24 
May 4

Section 7.1 
Diagonalization of Symmetric
Matrices 
Section 7.2 
Quadratic Forms 
17

May
10 (Wed) 7:0010:00
TTH 11:0012:30 group (54615)

Cumulative

FINAL EXAM



May
15 (Mon) 2:005:00
TTH 12:302:00 group (54625) 