Introduction to Linear Algebra (Math 301)
Linear algebra from a matrix perspective with applications from the applied sciences. Topics include the algebra of matrices, methods for solving linear systems of equations, eigenvalues and eigenvectors, matrix decompositions, and linear transformations. Prerequisites: Math 170, Math 175.
 Basic course information
 Required textbook and other resources
 Lectures
 Homework assignments
 Exams
 Grading policy
Send me an email
Please send me an email at donnacalhoun@boisestate.edu so that I can compile an email list for the class. At the very least, include a subject header that says "Math 301". You may leave the message area blank, if you wish, or send me a short note about what you hope to get out of this course.
Basic course information
Instructor  Prof. Donna Calhoun 
Office  Mathematics 241A 
Time  Monday/Wednesday 12:001:15 
Place  Mathematics 104 
Office Hours  Tuesday 1:303:00 
Prerequesites  Math 175 
Required textbook and other resources
 Linear Algebra with Applications, Second Edition, by Jeffrey Holt. W. H. Freeman, (2017) (required).
 WebAssign, by . (required).
Lectures
We will stick the following schedule as much as possible.
Week #1 (Jan. 13) 
Monday 
Introduction to Linear Algebra; Sections 1.1
Wednesday 
Section 1.2 : Linear Systems and Matrices

Week #2 (Jan. 20) 
Monday 
Martin Luther King Day (no class)
Wednesday 
Section 1.2  cont.

Week #3 (Jan. 27) 
Monday 
Section 1.3 : Applications
Wednesday 
Section 2.1 : Vectors; Section 2.2 : Span

Week #4 (Feb. 3) 
Monday 
Section 2.3 : Linear Independence
Wednesday 
Section 2.3 : Linear Independence (cont)

Week #5 (Feb. 10) 
Monday 
Section 3.1 : Linear transformations
Wednesday 
Section 3.2 : Matrix algebra

Week #6 (Feb. 17) 
Monday 
President's Day (no class)
Wednesday 
Midterm #1

Week #7 (Feb. 24) 
Tuesday 
Section 3.3 : Matrix Inverse
Thursday 
Section 3.5 : Markov chains

Week #8 (Mar. 2) 
Monday 
Markov chains (continued)
Wednesday 
Markov Chains (continued)

Week #9 (Mar. 9) 
Monday 
Section 4.1 : Introduction to subspaces
Wednesday 
Section 4.2 : Basis and dimension

Week #10 (Mar. 16) 
Monday 
Section 4.3 : Row and column spaces
Wednesday 
Section 4.3 : Row and column spaces (cont.)

Week #11 (Mar. 30) 
Wednesday 
Section 5.2 : Properties of Determinants

Week #12 (Apr. 6) 
Monday 
Midterm #2
Wednesday 
5.3: Applications of determinants

Week #13 (Apr. 13) 
Monday 
Section 6.1 : Eigenvalues and Eigenvectors
Wednesday 
Section 6.2 : Diagonalization

Week #14 (Apr. 20) 
Monday 
Section 6.2 : Diagonalization (cont.)
Wednesday 
Section 6.3 : Complex Eigenvalues and Eigenvectors

Week #15 (Apr. 27) 
Monday 
Review : Eigenvalues and Eigenvectors

Homework assignments
Homework assignments are to be done on WebAssign are due at 11:59PM of the due date listed in WebAssign.
Homework #1 
Due TBA This assignment is on WebAssign 
Exams
We will have two midterms and one final exam
Midterm #1  Date: Wednesday, February 19 
Midterm #2  Date: Monday, April 6th 
Final  Date: Monday, May 4 The final is 12:002:00 in our regular classroom 
You can find the Final Exam calendar here.
Grading policy
Homework will count for 25% of your final grade, and the two midterms and final will count for 75%. A 90% and above will earn you an A, between 80% and 90% will earn you at least a B, between 70% and 80% will be at least a C, and below 60% will be a D or F. If there is any deviation from this grading policy, it will be to lower the percentages, i.e. you could still earn an A with less than 90%, but you will never need more than 90%.