APPM 3310, Matrix Methods and Applications, Spring 2018
Course Information (syllabus)
Course Information
The objectives of this course are: to develop competence in the basic concepts of linear algebra, including systems of linear equations, vector spaces, subspaces, linear transformations, the fundamental subspaces of a matrix, eigenvalues, eigenvectors, and matrix decompositions (e.g., LU, QR, SVD, etc.).
Text: Applied Linear Algebra by Peter J. Olver and Chehrzad Shakiban. (Here are corrections to the 2nd printing and to the 3rd printing)
We will cover most of Chapters 1-8 of the text. Homework assigments (see D2L) will be from the text.
The syllabus for the course is on D2L.
A tentative course schedule for Spring 2018 can be found here.
Lecture Times and Location
Urgent: Starting Friday February 23 section 2 (Grooms) will have lecture in ECCR 135.
Instructor | Room Number | Time |
---|---|---|
James Curry | FLMG 102 | MWF 11-12 |
Ian Grooms | ECCR 135 | MWF 12-1 |
Brian Zaharatos | ECCR 135 | MWF 1-2 |
Office Hours & Help Sessions
Instructor | Rooom Number | Office Hours | |
---|---|---|---|
James Curry | ECOT 242 | M: 12:15-2:00, T: 10:00-11:30 | James.Curry(at)Colorado.edu |
Ian Grooms | ECOT 320 | M: 1-3, T: 2:30-3:30, W: 1-2, F: 1-3 | Ian.Grooms(at)Colorado.edu |
Brian Zaharatos | ECOT 338 | T: 1:30-3:00pm, W: 3:00-4:30pm | Brian.Zaharatos(at)Colorado.edu |
Homework Help Sessions
Time | Room | LAs |
---|---|---|
Mondays 5-7pm | ECCR 211 | Bloom, Kim, Tubnonghee |
Tuesdays 5:30-7:30 pm | ECCR 211 | Bloom, Larson, Tiede |
There are five LAs for this class
- David Bloom
- John Kim
- Sarah Larson
- Jacob Tiede
- Steve Tubnonghee
Homeworks
Homework is an essential part of this course. Math is best learned through practice, and one of your best opportunities for practice is homework. Collaboration is allowed, but learning from collaboration is crucial. Your homework must be your own work: copying homework is a violation of the honesty policies (see below). Assignments will be due in class each Wednesday at the start of lecture. A subset of problems on each assignment will be graded. The two homework assignments given before the midterm exams (i.e. due on the day of the exams) will not be graded. Late homework will not be accepted after the answers have been posted.
Exams
There will be two midterm exams in the evening on Wednesdays: Feb 21 and Mar 21. There will be no make-up or early exams. If you are sick during an exam, please bring a note from your doctor verifying your illness. The rest of your course work will then determine your course grade. The re-do exam will be Wednesday April 4 in the evening.
Both midterms and the re-do will be held from 5-6:30 pm in FLMG 155.
Projects
It might not seem so, but writing and presenting are important skills in mathematics! For this reason, there will be a written class project and an oral presentation. For the project you will work in groups of three. Smaller groups are not allowed. You will choose an application of matrix methods (of mutual interest to the group!) and prepare a paper on this application. Several choices of papers will be provided. The goals of the project are for you to:
- Learn how matrix methods play a role in some topic of your interest.
- Use the material covered to explore current applications.
- Gain experience with computational methods and programming.
- Enhance technical writing skills.
The detailed project requirements and a list of possible topics are posted on D2L.