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Undergraduate Courses
ITEC 237 238 239 - Signals & Systems

Download PDF: PDF icon ITEC237_238_239.pdf
Credit Hours: 3
Instructors:
Location:
Semester: Spring 2003

Course Description:

ITEC 237 Signal Analysis in Time Domain

Students are introduced to the mathematical time-domain representations used in signals and systems. Linear time-invariant (LTI) systems are discussed with emphasis on the convolution-sum and difference equation representations for discrete-time systems and convolution-integral and differential equation representations for continuous-time systems.

ITEC 238 System Analysis in Frequency Domain

The course presents mathematical techniques based on the Fourier representations used in the analysis and design of linear time-invariant (LTI) systems and frequency filters.

ITEC 239 Filter Design and Analog Communications

The tools of Laplace transform for continuous-time systems are developed. These tools form the basis of our discussion on the characterization and design of linear analog and discrete-time filters and equalizers required to meet prescribed frequency-domain specifications.



Course Objectives:

ITEC 237

  • Develop a mathematical framework for analysis and design of continuous-time and discrete-time signals and systems.
  • Calculate the output of a linear time invariant continuous-time system using convolution integral or differential equation.
  • Calculate the output of a linear time invariant discrete-time system using convolution sum or difference equation.
  • Analyze periodic signal using Fourier series.

ITEC 238

  • Develop frequency representations for continuous-time and discrete-time signals and systems.
  • Analyze a linear time-invariant system in time and frequency domains.
  • Sample a continuous-time signal to discrete-time and vice versa.

ITEC 239

  • Analyze common analogue and digital modulation schemes.
  • Design continuous-time frequency filters and equalizers that match given specifications.
  • Construct a discrete-time infinite impulse response filter using impulse invariance techniques.


Delivery Method:

Studio Lab (SL)

In this course delivery model students meet once per week in a laboratory environment to work on projects under the mentorship of an instructor. Learning that would traditionally occur in a lecture is instead supported in a Web presentation that includes multimedia and interactive elements. Weekly face-to-face meetings and online conferences enable students to view and critique each other’s work. Some courses, using this model, offer an optional Open Lab where students can receive additional learning support. Assessment is primarily based on project work.



Learning Activities + Evaluation:

*Please note these are the minimum expectations for each course on a weekly basis.

ALL:

Online/Text Reading: 3 hrs

Assignments: 1 hr

F2F: 1 hr

Lab Projects: 3 hrs

 

Methods of Evaluation

ALL:

Class participation: 10%

Assignments: 20%

Projects: 30%

Exam: 40%

 



Texts, Resources + Materials:

Text: Signals and Systems, A. V. Oppenheim, A. S. Willsky, and S. H. Nawab, Prentice Hall, Second Edition, 1997.

Project-book: Labs for Signals and Systems Using Matlab, V. Stonick and K. Bradley, PWS Publishing Company, 1996.

Software: Matlab from Mathworks

Platform Requirements: PC



Prerequisites:

Co-Requisites: ALL: ITEC 213

ITEC 238: ITEC 237

ITEC 239: ITEC 237, 238






Last Updated: May 13, 2008

These course outlines are drafts and are subject to change.

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