MA 302-001, Numerical Applications to Differential Equations


Name: Michael Medvinsky
Lectures: W 10:40am-11:30pm , COX 110
Office Hours: W right after the class, or by appointment
Office: SAS 3266


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


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)


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

ADA Statement

The Americans with Disabilities Act requires that reasonable accommodations be provided for students with physical, sensory, cognitive, systemic, learning and psychiatric disabilities. Please contact me at the beginning of the semester to discuss any such accommodations for the course.

Copyright notice

All printed and electronic materials provided to you in this course are protected by copyright laws.