British Columbia Institute of

Important Notice: COVID-19 Institute response


ELEX 7121 - Scientific Computing 2

Electrical and Computer Engineering Part-time Studies Course

School of Energy

BCIT is planning for a substantial return to on-campus activity for the fall 2021 term as informed by BC Public Health Officer guidelines. Refer to each course listing for details.

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.


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





Winter 2022

Below is one offering of this course for the Winter 2022 term.

CRN 47284

Sat Jan 08 - Sat Feb 26 7 Weeks

Class Meeting Times

Dates Days Times Locations
Jan 08 - Feb 26 Sat 08:00 - 11:00 BBY SW01 Rm. 3555


Muhammad Ahmed

Course Outline

TBD – see Learning Outcomes in the interim




  1. Labs to be scheduled outside of class hours on a schedule to be determined on the first day of class. Registrants who are not BTech Electronics students must have approval from the program head. Please contact Katie Howard at 604-432-8237 or for more information, or to be placed on a wait-list if the course is full. No class on February 19th (Family Day Weekend). Note: BCIT reserves the right to cancel courses. In the event of a Part-time Studies course cancellation, you will be notified at least two business days prior to the course start. Please ensure that your contact information is current.

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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