Mathematics
Subject area
Courses | MATH449
MATH449: Scientific Computing
Published course information, generated as a static page and SVG graph.
400-level
Course level
2
Programs that name this course
2
Published prerequisite links
Official Source
Calendar entry
Description
Catalog description
A comprehensive introduction to the techniques and mathematical foundations of modern methods in scientific computing for science, engineering and numerical analysis. Topics include linear and non-linear systems, eigenvalue problems, approximation of functions, initial value and boundary value problems, finite volumes, finite elements, multigrid methods, convex optimization, Monte Carlo simulations, and data assimilation.
Course Graph
Prerequisite flow into the course, and dependencies flow out from it.
Co-requisites are treated as prerequisite links, and equivalent or cross-listed courses are merged into shared course nodes. The simplified view shows one prerequisite level above the course and one dependency level downstream.
Additional course requirements
- or permission of the department
Program Use