MATH 449

Scientific Computing

Units: 1.5

Hours: 3-0-0

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.

Prerequisites:

Undergraduate course in Mathematics offered by the Department of Mathematics and Statistics in the Faculty of Science.

Schedules:
Summer 2018 Fall 2018 Spring 2019

Summer timetable available: February 15. Fall and Spring timetables available: May 15.

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