Math 310: Applied Linear Algebra.


Instructor: Sherwood Hachtman
e-mail: hachtma1 at uic dot edu
Lectures: MWF 4-4:50pm in LEC F3.
Office hour: W 1-2 and F 2-3 in SEO 616.

Please click here for the course syllabus, which contains important information about grade breakdown and attendance policies.

Homework assignments, quiz solutions, and review materials will be posted here.

Some lecture notes can be found on the course page on Blackboard.
Week Material covered Homework problems Review and Solutions
1

M 1/9: 1.1 - Systems of Linear Equations

W 1/11: 1.2 - Row Reduction and Echelon Forms

F 1/13: 1.3 - Vectors and Vector Equations

1.1: 1, 3, 7, 9, 11, 13, 15, 17, 21, 25

1.2: 1, 3, 7, 9, 11, 13, 19, 21, 23, 25

1.3: 1, 3, 5, 7, 9, 11, 13, 17, 23, 27

Quiz 1
Answers to T/F questions
2

M 1/16: No class (Martin Luther King Jr. Day)

W 1/18: 1.4 - The Matrix Equation Ax=b

F 1/20: 1.5 - Solution Sets of Linear Systems

 

1.4: 1, 3, 7, 9, 11, 13, 15, 17, 21, 23, 25, 35

1.5: 1, 3, 5, 9, 11, 13, 19, 23, 27, 33, 35

Quiz 2
Answers to T/F questions
3

M 1/23: 1.7 - Linear dependence and independence

W 1/25: 1.8 - Linear transformations

F 1/27: 1.9 - The matrix of a linear transformation

1.7: 1, 3, 7, 9, 11, 15, 17, 19, 21, 27

1.8: 1, 3, 5, 7, 9, 11, 13, 15, 17, 21

1.9: 1, 3, 5, 7, 11, 15, 19, 23

Quiz 3
Answers to T/F questions
4

M 1/30: 2.1 - Matrix algebra

W 2/1: 2.2 - The inverse of a matrix

F 2/3: 2.3 - Characterizations of invertible matrices

2.1: 1, 3, 5, 7, 9, 13, 15, 17, 22, 31

2.2: 1, 3, 5, 7, 9, 11, 13, 15, 21, 31

2.3: 1, 3, 5, 7, 11, 13, 15, 21, 33, 37

Quiz 4
Answers to T/F questions
5

M 2/6: 2.5 - Matrix factorization

W 2/8: 3.1 - Introducing determinants

F 2/10: 3.2 - Properties of determinants

2.5: 1, 3, 5, 7, 11

3.1: 1, 3, 5, 7, 11, 13, 19, 21, 27, 29

3.2: 9, 11, 13, 17, 19, 25, 27, 29

Quiz 5
Answers to T/F questions
6

M 2/13: 3.3 - Cramer's rule, volume, and linear transformations

W 2/15: 4.1 - Vector spaces and subspaces

F 2/17: 4.2 - Null spaces, column spaces, and linear transformations

3.3: 1, 5, 7, 9, 13, 15, 17, 19, 21

4.1: 1, 3, 5, 7, 11, 15, 17, 21, 23

4.2: 1, 3, 5, 7, 9, 11, 15, 23, 25

Quiz 6
7

M 2/20: 4.3 - Linearly independent sets and bases

W 2/22: Review for first midterm

F 2/24: Midterm 1

 

 

 

Practice Midterm 1
8

M 2/27: 4.3 - Linearly independent sets and bases, ctd.

W 3/1: 4.4 - Coordinate systems

F 3/3: 4.5 - The dimension of a vector space

4.3  1, 3, 5, 7, 9, 11, 13, 15, 19, 23

4.4  1, 3, 5, 7, 9, 11, 13, 17

4.5  1, 3, 5, 7, 9, 11, 13, 15, 17

Quiz 7
9

M 3/6: 4.6 - Rank

W 3/8: 4.7 - Change of basis

F 3/10: 5.1 - Eigenvectors and eigenvalues

4.6  1, 3, 5, 7, 9, 11, 13, 17, 19, 20, 21, 25

4.7  1, 3, 5, 7, 9, 11, 13, 15

5.1  5, 7, 9, 13, 15, 17, 19, 23, 25, 31

Quiz 8
10

M 3/13: 5.2 - The characteristic equation

W 3/15: 5.3 - Diagonalization

F 3/17: 5.4 - Eigenvectors and linear transformations

5.2  1, 3, 7, 9, 13, 15, 17, 23

5.3  1, 3, 7, 11, 13, 17, 25, 27, 31

5.4  1, 3, 5, 7, 9, 11, 13, 15, 17, 29

Quiz 9

Spring Break

11

M 3/27: 5.5 - Complex Eigenvalues

W 3/29: 4.9 - Applications to Markov Chains

F 3/31: 5.7 - Differential Equations

5.5  1, 3, 5, 13, 15, 17, 19

4.9  1, 3, 5, 7, 9, 11, 13

5.7  1, 3, 5, 7, 9, 11, 13

Quiz 10
12

M 4/3: 6.1 - Dot Products

W 4/5: Review for second midterm

F 4/7: Midterm 2

6.1   1, 3, 5, 7, 9, 11, 13, 15, 17, 23, 25

 

 

Practice Midterm 2
Grading key for Midterm 2
13

M 4/10: 6.2 - Orthogonal Sets

W 4/12: 6.3 - Orthogonal Projections

F 4/14: 6.4 - The Gram-Schmidt Process

6.2  1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21

6.3  3, 5, 7, 9, 11, 13, 15, 17

6.4  1, 3, 5, 7, 9, 11

Quiz 11
14

M 4/17: 6.5 - The Method of Least Squares

W 4/19: 6.6 - Applications to Linear Models

F 4/21: 7.1 - Diagonalization of Symmetric Matrices

6.5  1, 3, 5, 7, 9, 11, 13, 17, 18

6.6  1, 2, 3, 4, 7, 9

7.1  7, 9, 11, 13, 15, 17, 19, 23

Quiz 12
15

M 4/24: 7.4 - Singular Value Decomposition

W 4/26: Catch-up and Review

F 4/28: Final Exam Review

7.4  1, 3, 5, 7, 9, 11

 

 

Quiz 13

Final Exam: Tuesday May 2, 3:30-5:30 PM