APPM 3310: Matrix Methods

Breaking News...

• Solutions to last homework, HW 14 are posted!
• Final exam Reviews:
  1. Sunday Dec 9, 1-3PM ECCR 151
  2. Sunday Dec 9, 6-8PM ECCR 151
• Final exams are Monday Dec 13 (Section 001) and Thursday Dec 17 (Section 002). See below

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Section	Time/Place	Instructor	Email	Phone	Office	Office Hours
001	9AM MWF ECCR 155	Dr. James Meiss	James.Meiss@Colorado.edu	492-3731	ECOT 236	10-11M,1-2M,11-12F (or by appointment)
002	2PM MWF ECCR 151	Dr. Congming Li	Congming.Li@colorado.edu	492-4632	ECOT 324	12:30-2 MW (or by appointment)

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Course Information

• Course Information (PDF file)
• Readings, problems and solutions
• Projects
• Corrections to the first printing of Olver and Shakiban
• Homework Help sessions:

  Time	Place	LAs
  Mondays 5-6:30PM	MUEN E432	Fornia and Stockton
  Tuesdays 5-6:30PM	ECCR 137	Crawford and Stastny

  The Help sessions will be run by our Learning Assistants
  • Amanda Crawford: email Amanda.Crawford@Colorado.EDU
  • (Robert) Paul Fornia: email Robert.Fornia@Colorado.EDU
  • Tiana Stastny: email Tiana.Stastny@Colorado.EDU
  • Aaron Stockton: email Aaron.Stockton@Colorado.EDU
• Exams
  The exams will be closed book and no calculators or other electronic devices are permitted. One pages of notes is allowed.
  1. Exam I: Sept 30. (Section 1, Answers) (Section 2, Answers)
  2. Exam II: November 11 . (Section 1, Answers) (Section 2, Answers)
  3. Final Exam is cumulative. Finals will be in the lecture rooms.

     Section	Location	Final Time
     001	ECCR 155	Monday, Dec 14, 1:30 - 4:00 PM.
     002	ECCR 151	Thursday, Dec 17, 7:30 am - 10:00 AM.

  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.

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Resources

• 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. (Students in this class can purchase Maple at a discount with the code AP52979. 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. This gives 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
• A tutorial on Mathematical writing is at Martin Mohlenkamp's Good Problems site.