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.


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

Fall 2019 Spring 2020 Summer 2020

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

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