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Course Outlines

Course outlines are provided here for your information and reference as they become available and have received the required approvals.

Available BCIT course outlines can be accessed by selecting the term, the course subject and the course number from the dropdown list(s) below. If outlines are available for your selected term and course, they will then be listed. If any of these steps don’t result in what you are looking for, it indicates that no outline is currently available. If you are looking for an outline from a current term please check back closer to the start of the course or consult another outline from a previous term.  Please keep in mind that the content from previous outlines may be different than current offerings of the course. For historical outlines not covered in this system please contact BCIT Library at 604-432-8370 to see if they have the outline you require.

The course outline is a statement of educational intent and direction, providing BCIT students with clear, concise, accurate and readily available information related to course content and administration. BCIT course outlines are governed by Policy 5403 and the creation of course outlines is subject to the procedure described in 5403-PR1.

Electrical and Computer Engineering - ELEX


While no outlines currently exist for this course, below are the course learning outcomes/competencies.

Course Learning Outcomes/Competencies

Upon successful completion, the student will be able to:

  • Select appropriate model structures and noise model structures for a control model.
  • Implement off line and real time system identification algorithms such as least squares, instrumental variable methods and maximum likelihood methods and frequency domain and correlation methods.
  • Describe various controller tuning methods.
  • Map continuous time models to the discrete domain and vice versa.
  • Describe the effect of sampling on control.
  • Implement PID, state space, frequency domain, polynomial and LQR design methods for single input, single output control systems.
  • Design continuous and discrete time deterministic state observers and Kalman filters.
  • Implement selector control to deal with limits.
  • Design a cascade control system.
  • Apply feedforward in a control design.
  • Implement dead time compensation control designs.
  • Design anti-aliasing filters and describe the effect of aliasing and folding .
  • Implement signal reconstruction algorithms.
  • Describe methods to deal with nonlinearities in a control system.
  • Describe some methods to deal with multivariable control systems.
  • Implement logic programming using state machine diagrams.
  • Use modern software to implement graphical user interfaces.
  • Implement real time control using rapid prototyping tools.

Effective as of Winter 2007

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