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BCIT

ELEX 7121 - Scientific Computing 2

Electrical and Computer Engineering Part-time Studies Course

School of Energy

Course Details

Covers numerical methods and use of computer algorithms for discrete least squares approximation, trigonometric polynomial approximation, Fast Fourier Transforms, and Boundary value problems. Solutions of second order partial differential equations, namely, elliptic (Laplace's and Poisson's), parabolic and hyperbolic equations, using finite difference methods will be covered. Computer programs and software packages (MATLAB) will be used to solve equations.

Prerequisite(s)

ELEX 7120** (** must be taken concurrently)

Credits

1.0

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Learning Outcomes

Upon successful completion, the student will be able to:

  • Carry out "Discrete least squares approximation."
  • Carry out "Trigonometric polynomial approximation."
  • Derive "Fast Fourier Transform (FFT)" algorithm.
  • Write, test and demonstrate use of an FFT algorithm using MATLAB.
  • Use numerical methods and a computer to solve Laplace's equation using repetitive finite difference methods.
  • Solve boundary value problems using the shooting method, and the finite difference method, for second order inhomogeneous differential equations.
  • Use finite difference methods and MATLAB to solve one or more of; parabolic, hyperbolic and elliptic partial differential equations.

Effective as of Fall 2006

Related Programs

ELEX 7121 is offered as a part of the following programs:

School of Energy

  1. Electronics
    Part-time   Bachelor of Technology

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