Math 2111's Homepage

Math 2111's Homepage

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Table of Contents

Course Syllabus & Assignment List for the Course

Math 2111 Syllabus for Spring 2011 List of practise problems, assignments & homework due. ( This is where you can find what and when assignments are due. )
Upcoming Due Dates for Assignments & Projects and Upcoming Exam Dates
Hw due Fri April 29: 6.3 Hw NOT due, but must know for finals: 7.1 & 7.2 Project Presentations Schedule: Wed May 4: David's group; Ali's group; Kelsey Ericksen's group; Eric Laska's group.
Fri May 6: Manjari's group; Tim Snyder's group; Vincent's group; Alex McInt's group
Handout for the Course Project; instructor's evaluation of course project; and peer evaluation of Course Project; for class on Feb 9, 2011 FINAL EXAM (comprehensive) Mon May 9 at 11am till 1pm; exam covers up to and including 7.2
Here is a copy of the Review for Final Exam
Other Pertinent Course Handouts, Resources, and Class Stuff
(For class on Apr 15, 2011.) Problem 28 in 5.5. For class on Apr 20 & 25: Kernel and range of a linear transformation (6.2): page 1; page 2; page 3; page 4; page 5. For class on Apr 25 & 27: Matrix of a linear transformation with respect to some standard ordered bases (6.3): page 1; page 2; page 3. For class on Apr 27-29, May 2 Characteristic polynomial of a matrix, eigenvalues of a matrix, and the associated eigenvectors of each eigenvalue in 7.1: page 1; page 2; page 3; page 4; page 5; page 6.
For class on April 8, 2011:
Process to find an orthogonal basis for a subspace of an inner product space: Gram-Schmidt;
and a process to find an orthonormal basis for a subspace of an inner product space: orthonormalization.
(For class on April 1, 2011.) A few definitions of terms for 4.9 . (For class on Mar 11 & 21, 2011.) Summary of a few results from 4.4, 4.5, 4.6 .

(For class on Mar 11, 2011.) Algorithm 1; and Algorithm 2. (For class on Feb 2, 2011.) A few applications of Matrix Transformation, Example 1; Example 2(a-c) and Example 2(d) in 1.6 & 1.7 . (For class on Feb 4, 2011.) Handout on Matrices in reduced row echelon form and row-echelon form. (For class on Feb 9 & 11, 2011.) Useful result for detecting consistent or inconsistent linear system. ;





Mathematica examples

(For class on Feb 2, 2011 and for HW in 1.5.) A mathematica example of doing a few basic matrix operations for Problems 66, 67 in 1.5 A mathematica example of solving linear systems and doing row-reductions







External Resources for Linear Algebra

Math Archives - Linear Algebra Linear Algebra Toolkit Homogeneous Transformation Matrices JavaScript Linear Algebra The Connected Curriculum Project - Multivariate calculus, linear algebra and differential equations





Silly Math Jokes, at your request

You know you had too much linear algebra when you look at a row of creamer pitchers at Willie's: skim, whole, low-fat, 2% milk, 1% milk, cream, buttermilk, half-and-half, soy, and think, "why so many? don't soy, skim, and cream form a basis?" Q: Why do truncated Maclaurian series fit the original function so well?

A: Because they are "Taylor" made!
In a dark alley, a function and a differential operator met. The differential operator said, "Get out of my way or I will differentiate you till you are zero!" The function said, "Go ahead make my day; I am ex ," and walked away with a smirk.

The function met another differential operator, and the latter said, "Get out of my way or I will differentiate you till you are zero!" The function said, "Oh yeah; I am ex ," to which the operator replied, "Hasta la vista, baby, I am d/dy !"




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