MATH 390 Computational Mathematics

This course addresses the theory and practice of using algorithms and computer programming to solve mathematical problems. Possible topics include roundoff and truncation errors, solution of nonlinear equations, systems of linear and nonlinear equations, interpolation and approximation, numerical differentiation and integration, numerical solution of ordinary differential equations.

Prerequisites

ICS 140: Computational Thinking with Programming and MATH 320: Probability
or DATA 211: Data Science and Visualization and IENG 320: Probability and Statistics for Engineering

Special information

Overlap: IENG 390. Note: Formerly known as MATH 420. Students whose prerequisites are not identified by the system should contact the Math and Statistics department for an override at MATH@metrostate.edu.

4 Undergraduate credits

Effective May 4, 2022 to present

Learning outcomes

General

Select an appropriate mathematical method for a given application.
Create programs to implement mathematical algorithms on a computer.
Implement methods to mitigate the limitations of computer arithmetic.
Apply the theory of numerical algorithms to interpret error estimates.