The Higher Canadian Institute for Business
and Engineering Technology
Quality Assurance Unit
Course Specification
Course Name: Signals Analysis
Course Code: ELE 271
I. Basic Course Information
Program(s) on which the course is given: Communication Engineering
Department offering the course: Electrical Engineering
Academic level: 3rd level
Semester in which course is offered: Fall
Course pre-requisite(s): ELP 113
Credit Hours: 3
Contact Hours Through: 5
Lecture
2.0
Tutorial*
2
Practical*
1
Total
5.0
Approval date of course specification: September 2014
II. Overall Aims of Course
Signals and systems: continuous - time and discrete - time, elementary signals, basic
system properties. Linear Time Invariant Systems: continuous - time and discrete time convolution, system properties. Fourier series representation of periodic signals:
continuous - time and discrete - time. Continuous - time and discrete - time Fourier
transforms and their properties. Frequency response of LTI systems. Sampling of
continuous - time signals
III. Program ILOs covered by course
Program Intended Learning Outcomes (By Code)
Knowledge &
Intellectual Skills
Professional Skills
Understanding
K1, K2, K14
I2, I4, I16
P1, P3
General
Skills
G1, G2, G3
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. 1Identify and demonstrate competence in university level mathematics, natural
sciences, engineering fundamentals, and specialized engineering knowledge
appropriate to the program.
k. 2Explain and be aware of elementary science underlying communications
engineering systems and information technology
k. 3Identify and analysis of signal processing
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.
c. Practical/Professional Skills
On completing the course, students should be able to:
p.1 Compose and apply the appropriate mathematical methods for modeling and
analyzing problems in electrical, electronic and communications engineering.
p.2 Design the systems, components and processes and test the design ideas in the
laboratory or through simulation, with technical analysis and critical evaluation
of results.
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 Use the scientific evidence based methods in the solution of problems
g.3 Use of general IT tools
V. Course Matrix Contents
Main Topics / Chapters
123456-
Properties of continuous
time signals
Important continuous time
signals
Continuous time systems
Fourier series
representation
Fourier transformation
representation
Applications
Net Teaching Weeks
Duration
(Weeks)
Course ILOs Covered by Topic
(By ILO Code)
K&U
I.S.
P.S.
G.S.
3
k1, k2
i1
2
k2
i1
1
k2
i1
3
k3
i2
2
k3
i1, i2
2
13
k2, k3
i2
p1
p2
p2
All
2
The Higher Canadian Institute for Business
and Engineering Technology
Quality Assurance Unit
Course Specification
VI. Course Weekly Detailed Topics / hours / ILOs
Week
No.
Sub-Topics
Contact Hours
Total
Theoretical Practical
Hours
Hours
Hours*
Properties of continuous time signals
1
o Signal energy and power
o Periodic signals
o Even and odd signals
2
2
5
2
3
5
2
3
5
2
3
5
2
3
5
2
3
5
2
3
5
2
3
5
2
3
5
2
3
5
2
3
5
2
3
Properties of continuous time signals
2
o Signal energy and power
o Periodic signals
o Even and odd signals
Properties of continuous time signals
3
o Signal energy and power
o Periodic signals
o Even and odd signals
Important continuous time signals
4
o Exponential and sinusoidal signals
o Unit impulse and unit step functions
Important continuous time signals
5
o Exponential and sinusoidal signals
o Unit impulse and unit step functions
Continuous time systems
6
7
8
9
10
11
12
13
o Basic system properties
 with and without memory
 Invariability
 Causality
 Stability
 time invariance
 Linearity
Midterm Exam
Fourier series representation
o Fourier series representation of
continuous time periodic signals
Fourier series representation
o Fourier series representation of
continuous time periodic signals
Fourier series representation
o Fourier series representation of
continuous time periodic signals
Fourier transformation representation
o Fourier transformation representation
of continuous time a periodic signals
Fourier transformation representation
o Fourier transformation representation
of continuous time a periodic signals
Applications
3
The Higher Canadian Institute for Business
and Engineering Technology
Quality Assurance Unit
Course Specification
14
15
Applications
5
2
3
62
26
36
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
Case Studies
Presentations
Simulation Analysis
Course ILOs Covered by Method (By ILO Code)
K&U
All
All
Intellectual
Skills
All
All
Professional
Skills
All
All
All
General
Skills
All
All
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
k1, k2
Final Exam
All
Quizzes
All
Course Work
Report Writing
Case Study
Analysis
Oral
Presentations
Practical
Group Project
Individual Project
Others (Specify):
i1, i2
All
All
Week
No.
20 %
All
i1
Assessment
Weight /
Percentage
p1
All
10 %
10 %
10 %
4
The Higher Canadian Institute for Business
and Engineering Technology
Quality Assurance Unit
Course Specification
IX. List of References
Essential Text Books
Course notes

Recommended books 
Periodicals, Web sites, 
etc …
-
Signal processing and linear systems, B.P.Lathi, Berkely
Cambridge press
Lecturers notes and slides
X. Facilities required for teaching and learning
 Big sized lecture rooms.
 Computers (Personal & Notebook).
 Laboratory
 Data show.
Course coordinator Dr. Tamer A. Rahman
Head of Department: Associate Prof. Tamer Abdel Rahman
Date: September 2014
5