Engineering Mathematics III.
Math 353 Section 12, Fall 2008.


Instructor:                   Dorjsuren. Badamdorj (Dorj).
Office:                         432 Ewing Hall

Email and Phone :      badamdor@math.udel.edu /831-0588
Class web page::         http://www.math.udel.edu/~badamdor/Math353F08.html

Office Hours:              Monday and Wednesday 12:00 pm - 2:00 pm, or by appointment.
Lectures:                     MWF 2:30 pm - 3:20 am, 207 Ewing  Hall.



Course Description:
Numerical Methods in engineering, linear and non-linear equations,
numerical solution of ordinary differential equations, boundary value problems,
finite differences, diffusion and applications to engineering  problems with MatLab programming.
All detailed information about this course can be found in hand out Syllabus.

Lecture hand outs:                                                                                   
Mathematical Preliminaries.
MatLab Command Summary.
Numerical Differentiation.
RootFinding
Systems of equations.
Interpolation and Least Squares
Numerical Integration
Initial Value Problem (ODE)
BoundaryValueProblem (ODE)

Matlab Codes:
Introduction.
Numerical Differentiation: centered     bestapproximation
Root Finding:  Bisection  Regula-Falsi   FPI  Newton
Systems of Equations:  LUfactor  GaussE  Jacobi  GaussSeidel  SOR  FPI/Seidelmulti 
Interpolation and LeastSquares: DividedDifference   PolynomialInterpolation   PolynomialLeastSquares   Non-linearLeastSquares  
Integration: CompositeTrapezoidal/Simpson's     MidpointRule    
Initial Value Problem (First order ODE): DirectionalField    EulerMethod   GlobalError   Taylor(2,4)   Runge-Kutta(onestep)    
Systems of ODE and higher order equations:  Example6.13     Example 2.   Example3.   Example4.     
BVP: LinearShootingMethod   Non-LinearShootingMethod     LinearFiniteDifference     


Projects:   Project 1.   Project 2.

Homework Assignments:
Homework 1.   (Solution)                  Homework 6.  (Solution)
Homework 2.   (Solution)                  Homework 7.  (Solution)
Homework 3.   (Solution)                  Homework 8.  (Solution)
Homework 4.   (Solution)                  Homework 9.
Homework 5.   (Solution)                              

Practice Exams for Midterms:
Practice Exam 1.   Practice Exam 2. 

Midterm Exams:
Midterm 1. (solutions)          Midterm 2. (solutions)        

MatLab help links:
MatLab Tutorial , courtesy of Tobin Driscoll
Mathworks help.