Volgenau School of Engineering
George Mason University
George Mason University Mason
George Mason University

OR 682: Computational Methods in Engineering and Statistics

Course Information from University Catalog

Not Repeatable


Numerical methods have been developed to solve mathematical problems that lack explicit closed-form solutions or have solutions that are not amenable to computer calculations. Examples include solving differential equations or computation probabilities. Discusses numerical methods for such problems as regression, analysis of variance, nonlinear equations, differential and difference equations and nonlinear optimization. Applications in statistics and engineering are emphasized. Involves extensive computer use.

Hours of Lecture or Seminar per week: 3

Equivalent to CSI 700

Credits: 3

Prerequisites:

MATH 203 and MATH 213 or equivalent, and modern numerical methods and software.

1 Course Sections Scheduled for Fall 2017

1 Course Sections Scheduled for Fall 2016