Computer Methods in Applied Sciences

Catalog description

Credits 3. 3 Lecture Hours. Classical and modern techniques for the computational solution of problems of the type that traditionally arise in the natural sciences and engineering; introductions to number representation and errors, locating roots of equations, interpolation, numerical integration, linear algebraic systems, spline approximations, initial-value problems for ordinary differential equations and finite-difference methods for partial differential equations. Prerequisite: CSCE 442 or MATH 417 ; graduate classification.