Computational Sciences (CMPS)
Faculty of Science
CMPS 3800 [0.5 credit]
Modeling and Computational Methods for Experimental Science
Mathematical modeling in the experimental sciences: design, analysis and pitfalls. Computational methods directly applicable to problems in science will be described including function evaluation, Interpolation, solution of linear equations, root finding, integration, solution of differential equations, Fourier series and Monte Carlo methods. (Also listed as
MATH 3800.)
Only one of
COMP 3806/Mathematics
MATH 3806 or CMPS 3800/MATH 3800 may count for credit in a Bachelor of Mathematics program.
Prerequisites:
MATH 1107,
MATH 2007 or
MATH 2009,
COMP 1006.
Lectures three hours a week.