This page will be updated throughout the semester.
Instructor: Marshall Hampton
Office: 172 SCC
Email: mhampton at d.umn.edu (preferred contact method)
Telephone: 726-6329
Office hours: M 4-5, Tu, W: 3-5 and by appointment.
Class homepage: http://www.d.umn.edu/~mhampton/m5327s8.html
Lecture Times: 10:00 A.M. - 10:50 A.M., M,W,F in ABAH 245.
Textbook: Matrix Analysis and Applied Linear Algebra, by Carl D. Meyer. ISBN: 0898714540. Published by SIAM. Get the second printing, which corrects some typos in the first printing.
Resources:
This is a free linear algebra textbook by Jim Hefferon that may be helpful.
Gilbert Strang's lectures for a linear algebra course at MIT from spring 2005.
Topics: The official list of topics is: "Vector spaces over fields, subspaces, linear transformations, matrix representations, change of basis, inner-product spaces, singular value decomposition, eigenspaces, diagonalizability, annihilating polynomials, Jordan form." This corresponds roughly to chapters 1-7 in our text. Depending on the time available, some of these topics may be covered in more depth than others. If time permits, some additional topics may be covered, such as pseudospectra and numerical methods.
Exams: There will be two midterms and a final exam. The final exam is 8 - 9:55 am, Tuesday, May 13th. Tentative midterm dates: March 14th and April 18th (or the 21st, to be decided).
Practice midterm 1
Practice midterm 1 Solutions
Practice midterm 2
Practice midterm 2 solutions
Practice final
Practice final solutions
Grading: You will have the opportunity to be evaluated in a variety of ways: homework, class participation, exams, and a presentation. The approximate weights of these components are: homework 35%, midterms 15% each, final exam 20%, class participation 5%, and presentation 10%. However, these weights are adjusted depending on your relative score. The lowest homework score will be dropped.
Presentation: Topics must relate linear algebra to an application. Presentations can be done individually but also in teams of up to 3 people; I will have somewhat higher expectations for team presentations. They will be evaluated for linear algebra content, application content, and quality of presentation. Here is a list of suggested topics. The presentations will be done at the end of the semester.
Homework: Due Fridays at the start of class. Collaboration is encouraged, but you must write all solutions yourself, and cite any sources used. A 10% penalty will be taken daily for late assignments.
Assignment 1, due 1/25: Read Chapter 1. Do problems 1.2.5, 1.2.14, 1.3.1, 1.5.1., 1.5.7.
Assignment 2, due 2/1.
Assignment 3, due 2/8.
Assignment 4, due 2/15.
Assignment 5, due 2/22.
Assignment 6, due 2/29.
Assignment 7, due 3/10.
Assignment 8, due 3/28.
Assignment 9, due 4/4.
Assignment 10, due 4/11.
Assignment 11, due 5/2.
Extra Credit Problems, due 5/9.
Student Conduct Code: see the full description at http://www.d.umn.edu/assl/conduct/code/.
Policy statement: The University of Minnesota is committed to the policy that all persons shall have equal access to its programs, facilities, and employment without regard to race, religion, color, sex, national origin, handicap, age, veteran status, or sexual orientation.
Disabilities: An individual who has a disability, either permanent or temporary, which might affect his/her ability to perform in this class should contact the instructor as soon as possible so that he can adapt methods, materials and/or tests as needed to provide for equitable participation.