Math 2335 sec. 51 Spring 2016

Text: Elementary Numerical Analysis 3rd Ed. by Atkinson and Han ISBN 0471433373

Projected Semester Schedule

Syllabus

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Final Exam Info:

Date/Time/Place: Tuesday May 3, 2016 from 6:00-8:00pm in D237

Review from Exam 1                  (Solutions)

Review from Exam 2                  (Solutions)

Review of New Material             (Solutions)

An old final exam                  Another old final exam


Useful Links:

KSU Department of Mathematics

KSU SMART Center               (University tutoring services)

MathisPower4u                   (Video Library by James Sousa)

D2LBrightspace      NEW: Matlab starter code is available in D2L. Select "content"->"Matlab codes"


Lecture Slides:

Jan 12          Jan 19          Jan 21          Jan 26          Jan 28          Feb 2          Feb 4

Feb 11          Feb 23          Feb 25          Mar 1          Mar 3            Mar 10        Mar 15

Mar 17         Mar 22          Mar 29         Mar 31         Apr 12          Apr 19        Apr 21

Apr 26


Exam 2 Material:

Exam 2 w/ solutions           (this is the actual exam taken on April 14)


Exam 1 Material:

Exam 1 w/ Solutions      (this is the actual exam taken on Feb. 18)


Homework:

Calculus Review           

Homework 1                 

Homework 2               

Homework 3                  

Homework 4                  

Homework 5                   

Homework 6                   

Homework 7                  

Homework 8                

Homework 9                


Handouts and Additional Material:

In class exercises with Matlab

Calculus Basics

Elementary Functions page

MathisPower4u          (video library by James Sousa)

Cubic Spline Formulas

Extra suggested exercises from Atkinson and Han 3rd Ed.

In Class Exercise (Guassian Quadrature)


Learning Outcomes:

Upon completing this course students should be able to:

  1. Understand errors in Taylor polynomials, loss of significance errors, and propagation of errors; know how to estimate the errors.
  2. Approximate roots of equations using bisection, Newton's method, and method of fixed point iteration; perform error analysis.
  3.  Have the knowledge of interpolation, extrapolation, numerical integration, and numerical differentiation; know how to approximate definite integrals and derivatives.
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