The Higher Canadian Institute for Business
and Engineering Technology
Quality Assurance Unit
Course Specification
Course Name: Digital Signal Processing
Course Code: ELEC 545
I. Basic Course Information
Program(s) on which the course is given: Communication Department.
Core or elective element of program: Core
Department offering the course: Electrical and electronics Engineering
Academic level: 5th level
Semester in which course is offered: Fall
Course pre-requisite(s): ELEC 241
Credit Hours:3
Contact Hours Through:
Lecture
3.0
Tutorial*
3.0
Practical*
0.0
Total
6.0
Approval date of course specification: Sep. 2013
II. Overall Aims of Course


Understanding sampling and reconstruction in both the time and frequency domains.
Understanding linear time-invariant systems, system properties, the convolution sum,
and properties
of convolution.
 Understanding the Z-transform and its application to identifying system properties,
solving difference
equations, and determining the frequency response of a system.
 Understanding MATLAB as a tool for signal processing.
 Understanding Fourier transformation, and fast Fourier transform.
 To be able to design digital filters using bilinear transformation.
III. Program ILOs covered by course
Program Intended Learning Outcomes (By Code)
Knowledge &
Intellectual Skills
Professional Skills
Understanding
K1, K16, K18,
K19, K25
I3, I4, I7, I15
P1, P12, P14
General
Skills
G1, G7
1
The Higher Canadian Institute for Business
and Engineering Technology
Quality Assurance Unit
Course Specification
IV. Intended Learning Outcomes of Course (ILOs)
a. Knowledge and Understanding
On completing the course, students should be able to:
k.1 Identify and demonstrate competence in university level mathematics, natural
sciences, engineering fundamentals, and specialized engineering knowledge
appropriate to the program.
k.2 Recognize the innovations and recent trends in communications technologies.
k.3 Express unique oriented Knowledge in the relevant fields.
k.4 Identify and analysis of signal processing.
k5. Identify the coding techniques in digital image processing as an application.
b. Intellectual/Cognitive Skills
On completing the course, students should be able to:
i.1. Use brainstorming and innovation techniques to deal with problems and to develop
new ideas.
i.2. Demonstrate and organize tasks into a structured form.
i.3 Apply the signal processing in digital and analog communication, mobile
communication, coding, and decoding systems.
i.4 Identify a different ideas, views, and knowledge from a range of sources to
presents it in article form.
c. Practical/Professional Skills
On completing the course, students should be able to:
p1. Formulate and use the appropriate mathematical methods for modeling and analyzing
problems in electrical, electronic and communications engineering.
p2. Set up, design, build and test a communication system.
P.3 Create a technical reports.
d. General and Transferable Skills
On completing the course, students should be able to:
g.1 Manipulate, sort and present the information in a variety of ways
g.2 Identify the search methods for presentation.
V. Course Matrix Contents
Main Topics / Chapters
Properties of discrete
time signals
Important discrete time
2signals, Discrete time systems
3Basic system
1-
-
Duration
(Weeks)
Course ILOs Covered by Topic
(By ILO Code)
K&U
I.S.
P.S.
G.S.
1
k1, k2
i1
p1
2
k1
i2
p1
1
k2
i3
g1
2
The Higher Canadian Institute for Business
and Engineering Technology
Quality Assurance Unit
Course Specification
4-
5-
6-
7-
properties
Linear time
invariant
systems
- Fourier series
representation,
Discrete-time signals
and systems
Z-transform
The discrete Fourier
transform
Slew rate, Introduction to
Digital Filters
- FFT Convolution,
infinite impulse
response filters, finite
impulse response
filters
Net Teaching Weeks
2
k3, k4
3
k1
2
k2
2
k3, k4
p2
i1, i2
p3
g1
i3
p3
13
VI. Course Weekly Detailed Topics / hours / ILOs
Week
No.
Sub-Topics
Properties of discrete time signals
o Signal energy and power
o Periodic signals
o Even and odd signals
- Important discrete time signals
o Exponential and sinusoidal signals
o Unit impulse and unit step functions
- Discrete time systems
o Basic system properties
 with and without memory
 Invertibility
 Causality
 Stability
 time invariance
 Linearity
o Linear time invariant systems
 Summation convolution for
discrete LTI systems
o Linear time invariant systems
 properties of linear time invariant
systems
Midterm Exam
- Fourier series representation
Contact Hours
Total
Theoretical Practical
Hours
Hours
Hours*
-
1
2
3
4
5
6
7
8
3
3
6
3
3
6
3
3
6
3
3
6
3
3
6
3
3
6
3
3
3
The Higher Canadian Institute for Business
and Engineering Technology
Quality Assurance Unit
Course Specification
o Fourier series representation of discrete
time periodic signals
- Fourier transformation representation
9
o Fourier transformation representation
of discrete time aperiodic signals
- Discrete-time signals and systems
10
- Z-transform
- The discrete Fourier transform
11
Slew rate
- Introduction to Digital Filters
o Analog versus digital filters
o Filter Basics
o How Information is Represented in
Signals
12
o Time Domain Parameters
o Frequency Domain Parameters
o High-Pass, Band-Pass and Band-Reject
Filters
o Filter Classification
- FFT Convolution
o The Overlap-Add Method
13
o FFT Convolution
o Speed Improvements
- Infinite impulse response filters
o Chebyshev
14
o Butterworth
o Elliptic
- Finite impulse response filter
15
Final Exam
Total Teaching Hours
VII. Teaching and Learning Methods
Teaching/Learning
Method
Lectures & Seminars
Tutorials
Computer lab Sessions
Practical lab Work
Reading Materials
Web-site Searches
Research & Reporting
Problem Solving /
Problem-based Learning
Projects
Independent Work
Group Work
6
3
3
6
3
3
6
3
3
6
3
3
6
3
3
6
3
3
Course ILOs Covered by Method (By ILO Code)
K&U
All
k1
Intellectual
Skills
All
All
Professional
Skills
p2
All
General
Skills
g1
All
g2
k3, k4, k5
i3
p2
4
The Higher Canadian Institute for Business
and Engineering Technology
Quality Assurance Unit
Course Specification
Case Studies
Presentations
Simulation Analysis
i3
p3
g1, g2
Others (Specify):
VIII. Assessment Methods, Schedule and Grade Distribution
Course ILOs Covered by Method
(By ILO Code)
Assessment
Method
K&U
I.S.
P.S.
G.S.
Midterm Exam
Final Exam
Quizzes
Course Work
Report Writing
Case Study
Analysis
Oral
Presentations
Practical
Group Project
Individual Project
k1, k2,
k3
All
k1, k2,
k4
i1, i2, i3
Assessment
Weight /
Percentage
Week
No.
20 %
All
i2, i3
10 %
All
i3
All
p3
i2, i3
p2
All
5%
5%
10 %
Others (Specify):
IX. List of References
Digital signal Processing Handbook, W. Kenneth Jenkins
Essential Text Books
Course notes
 Lecturers notes and slides
Recommended books 
Periodicals, Web sites, 
etc …
X. Facilities required for teaching and learning
 Big sized lecture rooms.
 Computers (Personal & Notebook).
 Laboratory
 Data show.
Course coordinator: Dr. Alaa Hamdy
Head of Department: Associate Prof. Tamer Abdel Rahman
Date: Sep. 2013
5