DASC 538 - Computational Methods & Approximations

3 Credit Hours
3 Lecture Hours
0 Laboratory Hours

Numerical methods and algorithms for analyzing the mathematical and statistical models based on data. Topics include the numerical solution of nonlinear equations, error analysis, numerical differentiation and integration, interpolation and approximation by Spline functions, data smoothing and least squares approximation. Numerical solution of systems of linear and nonlinear equations using traditional iterative methods, eigenvalue estimation and numerical solutions of initial value problems. Mathematical software (Maple) will be used extensively in this course.

Prerequisites: Admission to the graduate program; MATH 136 or MATH 241.