MATH 300 - Introduction to Numerical Analysis

Tools and techniques for the numerical solution of mathematical problems. Topics include description and implementation of algorithms on the computer, floating-point arithmetic, error analysis, root-finding, interpolation, numerical integration, and Gaussian elimination for linear systems of equations.

Prerequisites: grade of “C” or better in MATH 285 or MATH 357, grade of “C” or better in MATH 263 (note: MATH 264 is highly recommended), and ability to use some programming language.
Credits: 3 hours
NOTE: Honors Scholar Course.
NOTE: This course counts toward the 63-hour Liberal Arts and Sciences (LAS) graduation requirement.