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 - Matrix Algebra or MATH 357 - Linear Algebra, grade of “C” or better in MATH 263 - Analytic Geometry and Calculus II (note: MATH 264 - Analytic Geometry and Calculus III is highly recommended), and ability to use some programming language.
Credit(s): 3
Course Attribute(s):

Honors Scholar Course.