Important: For the most up-to-date information, refer to the official George Mason Course Catalog
General Information
Credits: 3
Description:
This course introduces students to the mathematical foundations of scientific computing, as well as the design and implementation of algorithms for the solution of scientific and engineering problems. Topics include: Convergence, complexity and error propagation. Floating point representation and computer arithmetic, methods of solution of nonlinear equations, direct and iterative solution of linear systems, data fitting through interpolation, polynomial approximation, and least squares. Offered by Mathematics. May not be repeated for credit.
Recommended Prerequisite: Math 203 and CS 112, or equivalents
Registration Restrictions:
Enrollment limited to students with a class of Advanced to Candidacy, Graduate, Junior Plus, Non-Degree or Senior Plus.
Students in a Non-Degree Undergraduate degree may not enroll.
Schedule Type: Lecture
Grading:
This course is graded on the Graduate Regular scale.
This course is graded on the Graduate Regular scale.
Current Sections
This course is not offered this semester.