# M308 C Matrix Algebra

## Course Summary

This is a first course in linear algebra. It is truly surprising how ubiquitous linear algebra is throughout math and sciences: from cryptography to graph theory, from machine learning to research mathematics. Whether you are an aspiring computer scientist, mathematician, physicist, biologist or engineer, the techniques we will learn in this class are a fundamental component of your studies. Topics include solving linear systems of equations, span and linear independence of vectors, linear transformations, inverses, subspaces, change of basis, the determinant function, eigenvalues and eigenvectors, and diagonalization.

## Information

Instructor: Josh Southerland

Office Hours: TBD

Contact: j s o u t h e r AT u w . e d u

Additional help is available outside of class and office hours at CLUE. Visit their website to find out more about summer drop-in hours. Additionally, the Math Study Center (MSC) is open for 300-Level math courses over the summer (and only summer!). The MSC is located in Communications B-014 and is open 11:00 am - 5:00 pm Monday to Thursday.

## Homework & Webassign

For homework, you will need to use Webassign. Professor Taggart how generously typed up instructions for how to use Webassign. You can find them here. When you log into Webassign, use this link (or google "uw Webassign" to get this page).

Midterm 1: TBD

Midterm 2: TBD

Final Exam: TBD

## Exam Archives

Midterm 1: Archive 1, Archive 2 (You may ignore all problems asking about linear transformations.)

Midterm 2: Archive 1, Archive 2 (You may ignore questions asking you to change the basis, compute a determinant, or compute eigen-anything.)

Final Exam: Archive 1, Archive 2 (You may ignore problems that ask about orthogonality and least squares regression. You do not need to worry about complex-valued eigenvalues, you only need to know how to work with real-valued eigenvalues.)

## Course Schedule (TBD)

Week Monday Tuesday Wednesday Thursday Friday
1 Lecture: 1.1 No HW Lecture: 1.2 No HW Lecture: 1.2
2 Lecture: 1.2, 2.1 HW: 1.1 - 1.2 Lecture: 2.1, 2.2 July 4th! Lecture: 2.2, 2.3, HW: 2.1, 2.2 (S)
3 Lecture: 2.3 HW: 2.3 Review Day No HW Lecture: 3.1
4 Midterm 1 No HW Lecture: 3.1 HW: 3.1 Lecture: 3.2
5 Lecture: 3.2, 3.3 HW: 3.2, 3.3 Lecture: 4.1, 4.2 HW: 4.1 Lecture: 4.2
6 Lecture: 4.2, 4.3 HW: 4.2, 4.3 Review No HW Lecture: 4.4
7 Midterm 2 No HW Lecture: Exam Review, 4.4 HW: 4.4 Lecture: 5.1, 5.2
8 Lecture: 5.1, 5.2, 6.1 HW: 5.1, 5.2 Lecture: 6.1 HW: 6.1 Lecture: 6.2, HW (S): 6.2
9 Review No HW Review No HW Final Exam
10 16.9 HiW: 16.8,16.9 Review No HW Review