Introduction to numerical methods used in the sciences. Methods of interpolation, data smoothing, functional approximation, numerical differentiation and integration. Solution techniques for linear and nonlinear equations. Discussion of sources of error in numerical methods. Applications of interest to engineering, science, and applied mathematics students are an integral part of the course. Special topics presented as schedule permits. 4 credit hours. Prerequisites: CS 142 or EGR 153 or CEG 220 or CS 241, MTH 231, MTH 253 or 255.
College of Engineering and Computer Science