APPM 3310: Matrix Methods

Breaking News

• Final exams are Monday Dec 17 1:30 (Section 1) and 4:30 (Section 2).
• See old exams for examples to study from.

Section	Time/Place	Instructor	Email	Phone	Office	Office Hours
001	9AM MWF / DUAN G131	Dr. James Meiss	James.Meiss@Colorado.edu	492-3731	ECOT 236	M2-3, T3-4, F 2-3 (or by appointment)
002	2PM MWF / ECCR 151	Dr. Will Kleiber	William.Kleiber@colorado.edu	492-4273	ECOT 326	M3-5, F11-12 (or by appointment)

• Course Syllabus (PDF file)
• Schedule, Homework, and solutions
• Projects have due dates Nov 2 (proposal), Nov 30 (rough draft), and Dec 10 (final paper)
• All homework and lectures will be from Applied Linear Algebra by P. Olver and C. Shakiban
• Corrections to the first printing and second printing of Olver and Shakiban
• Homework Help sessions:

  Time	Place	LAs
  Mondays 5-6:30PM	ECCR 1B08	Stetson
  Tuesdays 5-6:30PM	ECCR 1B08	Michael and Matt

  The Help sessions will be run by our Learning Assistants:
  • Matt Green: email
  • Michael Plecinski email
  • Stetson Zirkelbach: email
• Exams
  The exams will be in class, closed book, and no calculators or other electronic devices are permitted. One pages of notes (8.5"x11", both sides, handwritten) is allowed.
  1. Exam 1: Section 1 (solutions), and Section 2 (solutions)
  2. Exam 2: Section 1 (solutions), and Section 2 (solutions)
  3. Final Exam
     • Section 001: Monday, December 17, 1:30-4:00PM;
     • Section 002: Monday, December 17, 4:30-7:00PM.
  4. Here are some exams from previous semesters. Please note that not all of the older exams correspond to exam material for our class. In other semesters, different texts may have been used and the material may have been covered at a different pace.

• Mathematical Writing.
  A few years ago, some people (D. Bundy, E. Gibney, J. McColl, M. Mohlenkamp, K. Sandberg, B. Silverstein, P. Staab, and M. Tearle) in Applied Math developed a method to gently teach mathematical writing. Martin Mohlenkamp maintains the Good Problems site that this effort produced. This is an excellent site for guidelines on how to write mathematics well.
• Mathematical Software.
  We will use Maple, Mathematica and/or Matlab to give demonstrations in class. You are strongly encouraged to become familiar with matrix operations in at least one of these software packages, as it will prove useful for your projects. Mathematica is available from CU Mathematica license, and Matlab can be purchased at a discount at the bookstore.).
  1. Maple Tutorial, Linear Algebra Basics, and Video Tutorials
  2. Mathematica Basics and Linear Algebra Tutorial
  3. Matlab Basics
• Some Applets
  1. Matrix Arithmetic, Inverse and Determinant
  2. Peter Staab's Web-based Matrix algebra program can be used for many matrix manipulations.
• Matlab Examples
  1. GaussElim.m, a simple program to do Gaussian Elimination on a regular matrix
  2. PGaussElim.m, Gaussian Elimination with permutation for a nonsingular matrix.
  3. Face Data is data you can use to try out the software below.
  4. Principal Components is code you can use to calculate the principal components of 2D data. Try it on the data given above.
  5. Gaussian and Confidence are routines that calculate the confidence in a measurement, relative to given data.
  6. Eigshow is a Matlab demo of the key idea behind the SVD.
  7. More information about the SVD , including applications.
• Matrices in the News
  1. Contra Dancing and Matrices
  2. Bus Schedules and Random Matrices
  3. Magic Squares
  4. Google's Page Rank Algorithm