Course Description

There are two main goals of this course: a) to teach students the basics of numerical methods for approximating solutions for differential equations, with an emphasis on Runge-Kutta-Fehlberg methods with stepsize control, b) to familiarize students with the use of the computer package Matlab, and its ODE suite. These goals are achived by using interesting real life examples, such as applications to population, economic, orbital and mechanical models. The course is taught at a level suitable for students who have passed two semesters of calculus.

There will be five parts of the course, and each has three lectures. The first lecture introduces a new topic, and the following two lectures will stress applications and variation of the model's parameters. 

Additional course materials can be found in:
Nagle, Saff and Snider, Fundamentals of Differential Equations (Addison Wesley).