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MTH 600

Computational Methods in Mathematics

Topics include: Statistical simulation of random variables and stochastic differential equations. Numerical solutions for partial differential equations, finite differences and finite-element methods. Optimization methods: linear programming, the simplex method and nonlinear programming. Computer programming is an essential part of this course. Students will understand the concepts of this course both theoretically and through the use of computers.
Weekly Contact: Lab: 1 hr. Lecture: 3 hrs.
GPA Weight: 1.00
Course Count: 1.00
Billing Units: 1

Prerequisites

MTH 500 and (MTH 501 or MTH 510) and (CPS 118 or CPS 106 or CPS 109)

Co-Requisites

None

Antirequisites

None

Custom Requisites

None

Mentioned in the Following Calendar Pages

*List may not include courses that are on a common table shared between programs.