Instructor:
Name: Michael Medvinsky
Lectures: W 10:40am-11:30pm , COX 110
Office Hours: W right after the class, or by appointment
Office: SAS 3266
Prerequisites:
C or better grade in MA241 or permission from instructor.
The course
Numerical methods for approximating solutions for differential equations, with an emphasis on Runge-Kutta
methods with applications.
Course Outline
Text
There is no text book in the class, but the following brief notes might be useful.
Introduction to Matlab (ppt)
Another introduction to Matlab (html)
Assignments
Every class we will start an assignment which is supposed to be finished at home and submitted (usually) before or at the next class.
Submission rules
Answer all questions.
For each program you write:
- Submit a hardcopy of your code (make sure it is correct and easy to read - use comments to explain what you do)
- Submit all output (text, graphs) generated by running your program (incude different cases of input if relevant)
Download your assignment below
Assignment 1
Assignment 2
Assignment 3
Assignment 4 (Vandermonde.m)
Assignment 5 (differ.m)
Assignment 6
Assignment 7