Linear Algebra, Spring 2018 

Instructor: Andrew Obus
email: obus [at]
office: Kerchof Hall 208
phone: 434-424-4930



TTh 12:30-1:45, Clark Hall 102.  Please ask questions if anything in lecture is unclear. Lectures will run the entire 75 minutes. Please show up on time!

Schedule of Lectures


Linear Algebra and its Applications, 5th ed., by David C. Lay.


Linear Algebra is, essentially, the study of linear equations.  No doubt you have seen such equations in high school.  You probably even solved some systems of 2 or 3 simultaneous linear equations (in 2 or 3 variables).  Linear algebra takes a deeper look at such systems and examines questions such as:  How do we know when a system of m linear equations in n variables has a solution?  How many solutions can there be?  How do we find them efficiently?  If there is no solution, then how close can we get to one?  These questions may seem somewhat narrow at first glance.  But they are in fact fundamental to physics, computer science, and statistics.  Linear algebra underlies Google's PageRank algorithm, the concept of a best-fit line, and risk models of stock portfolios.  Furthermore, it is only a slight stretch to say that all higher mathematics as it is practiced today (geometry, topology, number theory, analysis, differential equations, etc.) depends fundamentally on linear algebra. 

The book contains a great variety of applications of linear algebra.  We will cover a few, and I encourage you to read about the other applications that pique your interest!  I worked at a hedge fund for a year between college and graduate school doing quantitative analysis, and linear algebra was by far the most useful math class for the job that I had under my belt.

My goal is for you to leave this class not only competent in the skills of linear algebra, but also as a more mature mathematical thinker.  If you are interested in taking more mathematics, linear algebra is your ticket into most of the advanced courses.

The main topics we will cover are linear equations, linear transformations, matrices, vector spaces, determinants, eigenvalues, eigenvectors, diagonalization, and applications.  These correspond to most of Chapters 1-7 of Lay's book.  I also hope to lecture on the Google PageRank algorithm, which is not in the book.  I will try to strike a balance between computations, concepts, proofs, and applications.  Some short proofs may appear on homeworks and exams.

Expected Background: Officially, the prerequisite is Calculus II.  In reality, we will rarely use calculus; almost everything in this class is accessible with only a pre-calculus background.  On the other hand, this course will require somewhat more mathematical sophistication than the calculus courses you have probably taken, and will involve more proofs and disciplined conceptual thinking.  Ideally, you will have seen vectors before and have done some basic operations with them (adding, subtracting, multiplying by scalars).  If not, please let me know.  More generally, if you have any questions concerning your background, please speak to me as soon as possible.

If you fall too far behind in this course, it will be very difficult to catch up.  Please see me promptly if things stop making sense!

Office Hours

Tuesdays 11:00-12:00, Thursdays 2:00-3:00. Kerchof Hall 208 (my office). If these times do not work for you, please make an appointment with me.  I am also teaching Math 3315 this semester.  For the Tuesday office hour, students in both classes will have equal priority.  For the Thursday office hour, students in Math 3351 will have priority.


Homework will be assigned on Tuesdays.  Each homework assignment will consist of two parts:
1) Online Homework: This will be assigned using the MyLab Math package from Pearson included with your textbook.  I will send the class an email with instructions for setting this up.  The online homework will tend to consist of relatively straightforward problems, and you have as many chances as you need to get the problems correct!  This will be due by 12:00 noon on Tuesdays.

2) Written Homework: Written homework is due in class on Tuesdays, or in my mailbox at the front of Kerchof Hall by the beginning of class if you cannot make it to class for any reason.  The written homework may include some more difficult problems than the online homework.

Late homework will never be accepted.  If you know in advance you will be unable to turn in homework when it is due, you should plan to turn it in ahead of time.  I will drop your lowest online and your lowest written homework score to allow for missed assignments or for assignments that pose special difficulty.

Homework should be neat, well-organized, and legible. In addition, it must be stapled or paper clipped (no folding over the top-left corner or anything like that). Please write in paragraphs, sentences, and English words (oh my!) when they are called for.  Some problems will require you to write an explanation.  The grader should not have to decipher what you are doing--you should be clear and unambiguous about your methods on a homework problem.

You are encouraged to work together on homework!  But you must write up your own solutions.  I have found that it is helpful if I think about the problems myself first, and then discuss the more difficult questions with others.  It is very important that you truly understand the homework solutions you hand in.  In previous classes I have taught, the students who were the most unpleasantly surprised with their exam grades have been the ones who have "phoned in" their homework (keep in mind that the exams count much more than the homework!).  In particular, you should always work the online homework problems until you have them correct!

If you work together on homework, you must write the names of your collaborators on the front.

Homework will be graded and every effort will be made to hand it back promptly.  Grades will be posted on Collab.

Schedule of Homework (the homework assignments themselves will be posted on UVaCollab)


Midterms will be in class on Tuesday, February 20th and Tuesday, April 3rd.  If you have a conflict with one of these days, you must let me know now. Another exam on the same day is not considered a conflict.  If you have two other exams on the same day, talk to me.

The final exam is on Friday, May 4th, from 2:00PM-5:00PM.

Calculators are not permitted on exams.

Final Course Grades

7% Online Homework
13% Written Homework
20% Each Midterm
40% Final Exam

It is possible for exceptional class participation to be factored into your grade in borderline cases.


The University of Virginia Honor Code applies in this class.  You will be asked to sign a statement before each exam acknowledging that you understand this.

Some Useful Links

University of Virginia Undergraduate Math Page

University of Virginia Math Department

Extra Help