Math 415.M13 Applied Linear Algebra



Time/place: Tuesday and Thursday, 9:30--10:45am in room 245 Altgeld Hall 

Instructor: Prof. R. Kedem

Office: 342 Illini Hall

Office hours: TuTh 11-12.


Tutoring hours: For help with homework, you can go to Altgeld Hall 345:
Monday 4-8pm
Tues 5-7pm
Wed 4-8pm
Thu 5-7pm

Your percentage grade is 1.05 times your "average" for the class. The curve is a straight curve: to get an A, you must have 92% or more, an A-, 90% or more, etc.

Here's a solution to the final for the curious.

Syllabus in pdf format.


If you are a student in this class you can access your grades via this link. 


Tentative schedule, subject to change! Check often (reload the page!). If there is a worksheet listed under "material covered in class" on the night before class, complete the worksheet and hand it in at the beginning of that class period. Homework is to be handed in on listed due date, in class, at the beginning of class


The homework problem numbers refer to the official text for the course, Linear Algebra with Applications, 4/E, Otto Bretscher. Electronic Version.


Click on date for note template.

Date

Lecture

Material covered in class

Homework

1/17 1 Linear equations and Gaussian elimination

Section 1.1 7,9,11,15,17,22,25,26,28,29,31 due 1/24.

1/19 Worksheet 2 Row echelon forms and matrix algebra

Section 1.2 1,3,5,8,17 (find a software program to help you), 19,20,29,30,33,36 due 1/24

1/24 Worksheet 3 Types of solutions to linear systems

solutions to graded problems from hw1.
Section 1.3 1, 6, 17, 19, 23, 27, 28, 29, 30, 36, 37, 55 due 1/31.

1/26 Worksheet 4 Linear transformations

Section 2.1 5,6,8,35,40,41 due 1/31 

Section 2.2 12,19,26,27 due 1/31

1/31 (in-class worksheet) 5 Matrix multiplication and linear transformations

Solutions to some problems in hw2.
Section 2.3 12,13,17,29, 32,36,43–48 due 2/7.

2/2 Worksheet 6 Inverses

Section 2.4 5,6,8,10,29,34,35,38,41,42,43 due 2/7. Solutions 2.3, 2.4

2/7 Exam I Exam I Covers Chapters 1 and 2 Solutions
2/9 7 Applications See notes
2/14 8 Subspaces associated with linear maps

Section 3.1: 6,8,13,15,17--19, 23--25, 31,33,34,37,44 due 2/16.

2/16 9 Linear independence, span of a set of vectors

Section 3.2: 3.2: 1,2,3,8,18,19,26,32,33,34,36,37,38,45,46,49.due 2/23.

2/21 10 Bases and dimension of a vector space

Section 3.3: 11-20,25,27,29,30,32,33,36 due 2/23. Solutions

2/23 11 Coordinate vectors, change of basis map

Section 3.4: 12-16,25,26,37,38,43 due 3/1.

2/28 12 Abstract vector spaces

Section 4.1: 1,2,20,21,23,29 due 3/1. Solutions

3/1 13 Linear transformations of vector spaces

Section 4.2: 1-7,9,13,17-21,22,24-27,30,32,53,56,59 due 3/8.

3/6 14 Matrix representation of a linear transformation

Section 4.3: 3,5,6,21,41,49,57 due 3/8.

3/8 Exam II Exam II Covers Chapters 1-4
3/13 15 5.1. Orthogonal sets, projections

Section 5.1: 3,6,10,13,15,16,17,19,26,27,29 due Thursday 3/29

3/15 16 NO CLASS
3/27 17 Gram Schmidt process

Section 5.2: 6,7,13,20,21,27,32,33,34,35 due Thursday 3/29

3/29 18 Other inner product spaces

Section 5.5: 1,2,5,6,16,23,24 due 4/5.

4/3 19 Determinants: Definition

Section 6.1: 5,7,9,15,21,25,29,39, due 4/5.

4/5 20 Determinants: Properties

Section 6.2: 1, 7, 8, 11--16, 31, 32, 38, 39, 40, 46, due 4/12

Section 6.3: 1, 2, 3, 4, 7 due 4/12

4/10 Preclass worksheet 21 Eigenvectors and Eigenvalues I

Section 7.1: 1, 3, 5, 7, 9, 11-16, 19, 21, 30-33: due 4/12

Section 7.2: 1,3,5,7,9,11,13, 15, 16, 19, 28: due 4/12

4/12 22 Eigenvectors and Eigenvectors II

Section 7.3: 1-17 odd, 20, 21, 22, 24, 25, 27, 28, 29, 30, 31, 35, due 4/19.

Section 7.4: 1-19 odd, 26, 31, 36, 39, 40, 49, 50 due 4/19

4/17 23 Diagonalization procedure, complex eigenvalues

Section 7.5: 1-9, 13, 17, 25: due 4/19

4/19

Exam III

4/24 24 Symmetric matrices

Section 8.1: 5, 9: due 5/1

4/26 25 Linear differential equations

Section 9.1: 29, 30, 31: due 5/1

5/1 Review
5/9 final 1:30-4:30pm room 62 KAM some practice finals.