Mathematics (MATH) Courses>Scientific Computing

MATH449 - Scientific Computing

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.

Units

1.5

Hours: lecture-lab-tutorial

3-0-0

Prerequisites

  • Complete 1 of:
  • or permission of the department.

Course offered by

Department of Mathematics and Statistics

Course schedules

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

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