M308 O Matrix Algebra

Spring 2020

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.



Academic Honesty Pledge

Instructor: Josh Southerland

Office Hours: via Zoom

Office: Padelford (PDL), C-552

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 online assistance.

Homework: Webassign & Conceptual Problems

For homework, you will need to use Webassign and Gradescope. 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). Conceptual problems will require solutions, and you will need to upload these solutions to Gradescope.

Technology Requirements

All lectures in this course will be done via Zoom. For additional Zoom and technology policies, refer to the syllabus. All lectures will be recorded live and a link to the video uploaded to the course website; however, the turnover time between the live recording and posting may be in excess of 2 days. As an alternative, you will also have links to Ebru Bekyel's lectures as the come available, and all lectures notes.


Midterm 1: Wednesday, April 22


Midterm 2: Friday, May 15


Final Exam: Monday, June 8


Lecture Notes

Lecture Recordings

Josh (Section O)

Ebru Bekyel (Section A)

Exam Archives & Concept Checklists

Midterm 1

Midterm 2

Final Exam

Other Materials

Course Schedule

Week Monday Tuesday Wednesday Thursday Friday
Mar 30 Lecture: 1.1 Lecture: 1.1, 1.2 Lecture: 1.2
Apr 6 Lecture: 2.1 HW: 1.1, 1.2 Lecture: 2.1 Lecture: 2.2, HW: C1
Apr 13 Lecture: 2.3 HW: 2.1 Lecture: 2.3 HW: 2.2, 2.3 Review, HW: C2
Apr 20 Lecture: 3.1 Midterm 1 Lecture 3.1, 3.2
Apr 27 Lecture: 3.2 HW: 3.1 Lecture: 3.2, 3.3 HW: 3.2 Lecture: 3.3, HW: C3
May 4 Lecture: 4.1 HW: 3.3 Lecture: 4.2 HW: 4.1 Lecture: 4.3, HW: C4
May 11 Review HW: 4.2, 4.3 Lecture: 4.4, HW: C5 Midterm 2
May 18 Lecture: 5.1/5.2 HW: 4.4 Lecture: 5.1/5.2 HW: 5.1, 5.2 Lecture: 6.1, HW: C6
May 25 Holiday Lecture: 6.1, 6.2 HW: 6.1 Lecture: 6.2, HW: C7
Jun 1 Review HW: 6.2 Review, HW: C8 Review
Jun 8 Final Exam