MATH332 Linear Algebra

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==Exams ==
 
==Exams ==

Revision as of 01:21, 2 July 2010

Main Page > Mathematical and Computer Sciences Course Wikis

Contents

Course Information

MATH332: Linear Algebra - Systems of linear equations, matrices, determinants and eigenvalues. Linear operators. Abstract vector spaces. Applications selected from linear programming, physics, graph theory, and other fields. Prerequisite: MATH 213, 223 or 224.

Instructor Information

Instructor : Scott Strong

Office : Chauvenet Hall 266

Office Phone : 303.384.2446

email : math332.summer2010@gmail.com

Course Calendar

Classes Begin : June 28th, 2010

Meeting Days : Monday, Tuesday, Wednesday, Thursday

Course Sections :

    Section A,  3:00pm-4:20pm, Green Center 249


Classes End : August 19th, 2009

Important Dates :

   July 5th - No Class 
   July  6th - Last Day to Withdrawal  (Without a W)
   August 6th - Last Day to Withdrawal

Office Hours

Fixed Office Hours :

 MTWR : 12:30pm-1:30pm

If you cannot meet during the previous office hours then please contact me to schedule another meeting time.

Textbook Information

    Textbook : Linear Algebra - David Lay, ISBN 0201824787

Course Documents

Pdf.png These downloads require Adobe Acrobat Reader

Syllabus

MATH332.Summer2010.Syllabus


Handouts

Linear Algebra Basics

Section Overviews

The following is a set of documents providing an overview of each section of Lay's text that we cover. Listed in each set are:

   Section  and pages from Lay's Linear Algebra
   Suggested Problems from each section
   Lecture Objectives
   Lecture Goals  

Linear Algebra Slides


Assignments

MATH332.Summer2010.Homework0, Newest Posted at 8:44pm. If you did this already then don't worry.
MATH332.Summer2010.Homework1
MATH332.Summer2010.Homework2

Exams

Exam I

Exam II

Final Exam

Course Links

Matrix Algebra

   Scalar and Matrix Multiplication with Animations
   Animated Matrix Multiplication
   Animated Matrix Multiplication

Computational Tools

   Free Mathematica Like Program for Windows and Mac
   Eigenmath Manual
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