Scientific Computing Laboratory : Courses in Scientific Computing

Below is a list of courses offered at UBC (in Computer Science and elsewhere) that may be of interest to graduate and undergraduate students doing research in scientific computing. Note that some courses are taught every other year.

For more information on each course, follow the individual course links or consult the UBC course schedule.

The Institute of Applied Mathematics maintains a list of UBC courses that may also be of interest to students in scientific computing.

Graduate courses

Department	Number	Title	Instructor
CPSC	533D	Topics in Computer Graphics: Animation Physics	Bridson
CPSC	542B	Topics in Numerical Computation: Nonlinear Optimization	Friedlander
CPSC	542D	Topics in Numerical Computation: Level Set Methods	Mitchell
MATH	601D	Introduction to Medical Imaging	Froese
CPSC	533A	Topics in Computer Graphics: Digital Geometry Processing	Sheffer
CPSC	541	Computational Methods for ODEs	Mitchell
CPSC	542A	Topics in Numerical Computation: Eigenvalue Problems	Greif
MATH	521	Numerical Analysis of Partial Differential Equations	Schoetzau
EOS	513	Imaging and Estimation with Wavelets	Herrmann
CPSC	542G	Topics in Numerical Computation (Graduate Breadth)	Bridson
CPSC	520	Numerical Solutions of Differential Equations	Ascher
CPSC	517	Sparse Matrix Computation	Greif

Undergraduate courses

Check out the Course Calendar for descriptions of the undergraduate courses.

Term 1 (September to December)

Department	Number	Title
CPSC	302	Numerical Computation for Algebraic Problems
CPSC	402	Numerical Linear Algebra (even years)
CPSC	405	Modelling and Simulation
MATH	405	Numerical Methods for Differential Equations

Term 2 (January to April)

Department	Number	Title
CPSC	303	Numerical Approximation and Discretization
CPSC	406	Computational Optimization (odd years)