Introduction to Linear Algebra (Math 301, Fall 2020)
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.
 Learn how to convert a system of linear equations to a matrix equation
 Learn how to manipulate matrix equations to solve for a solution vector
 Learn to solve underdetermined linear systems
 Linear independence
 Finite vector spaces and subspaces
 Linear transformations
 Computing eigenvalues and eigenvectors
 Applications!
 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  Wednesday/Friday 9:0010:15 
Place  Virtual  See BlackBoard for Zoom link 
Office Hours  Wednesday 12:001:30 
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 (Aug. 24) 
Wednesday
(8/26) 
Introduction to Linear Algebra; Sections 1.1
Friday
(8/28) 
Section 1.1 (cont.)

Week #2 (Aug. 31) 
Wednesday
(9/2) 
Section 1.1 (cont.)
Friday
(9/4) 
Section 1.3  Applications

Week #3 (Sep. 7) 
Wednesday
(9/9) 
Section 1.3 : Applications
Friday
(9/11) 
Section 2.1 : Vectors

Week #4 (Sep. 14) 
Wednesday
(9/16) 
Section 2.2 : Span
Friday
(9/18) 
Section 2.2 : Span (cont)

Week #5 (Sep. 21) 
Wednesday
(9/23) 
Section 2.3 : Linear independence
Friday
(9/25) 
Section 2.3 : Linear independence (cont.)

Week #6 (Sep. 28) 
Wednesday
(9/30) 
Review for Midterm #1
Friday
(10/2) 
Midterm #1

Week #7 (Oct. 5) 
Wednesday
(10/7) 
Section 3.1 : Linear transformations
Friday
(10/9) 
Section 3.2 : Matrix Algebra

Week #8 (Oct. 12) 
Wednesday
(10/14) 
Section 3.2 : Matrix Algebra (cont.)
Friday
(10/16) 
Section 3.3 : Matrix inverse

Week #9 (Oct. 19)  
Week #10 (Oct. 26)  
Week #11 (Nov. 2)  
Week #12 (Nov. 9) 
Wednesday
(11/11) 
Review for Midterm #2
Friday
(11/13) 
Midterm #2

Week #13 (Nov. 16)  
Week #14 (Nov. 30)  
Week #15 (Dec. 7) 
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 Tuesday 9/8 (Midnight) This assignment is on WebAssignComments : Section 1.1 and 1.2 
Homework #2 
Due Tuesday 9/15 (Midnight) This assignment is on WebAssignComments : Section 1.3 and 2.1 
Homework #3 
Due Friday 9/25 (Midnight) This assignment is on WebAssignComments : Section 2.2 and 2.3 
Homework #4 
Due Friday 10/14 (Midnight) This assignment is on WebAssignComments : Section 3.1 and 3.2 
Homework #5 
Due Sunday 10/25 (Midnight) This assignment is on WebAssignComments : Section 3.3 
Exams
We will have two midterms and one final exam
Midterm #1  Date: Friday, October 2 
Midterm #2  Date: Friday, November 13 
Final  Date: Wednesday, December 16 The final is 9:3011:30 
You can find the Final Exam calendar here.
Grading policy
Homework will count for 20% of your final grade, and the two midterms and final will count for 25%. An additional 5% of your grade will be based on in class participation. 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%.