List of Courses

Information
Description
Outcomes
Contents
Methodologies
Assessment
Books

Signal Analysis

Course Code :
COM 362
Level :
Undergraduate
Course Hours :
3.00 Hours
Department :
Department of Electrical Engineering

Instructor information :

Title:Lecturer
Name: MOHAMED MOUSA SAYED EMAM AHMED
Office hours:6-Hours

Area of Study :

 Develop students’ knowledge about signals and systems.  Develop students’ skills about using software tools in signal analysis  Share ideas and work in a team or a group.

For further information :

Telephone: 16383 (16FUE)
E-mail: [email protected]

Continuous and discrete time signals and systems, Continuous time convolution, Discrete time convolution, Fourier series representation of periodic signals: Fourier representation of continuous time periodic signals, Fourier series representation of discrete time periodic signals, The continuous-time Fourier transform: the Fourier transform for periodic signals, the properties of continuous-time Fourier transform, The discrete-time Fourier transform: representation of a periodic signals, the discrete Fourier transform for periodic signals, properties of the discrete-time Fourier transform.

For further information :

Telephone: 16383 (16FUE)
E-mail: [email protected]

Signal Analysis

Course outcomes:

a. Knowledge and Understanding:

1-	Identify the application of mathematics in analog and discrete signals and systems description and classification.
2-	Define the main properties of convolution integral and applications.
3-	List the different types of analogue and discrete signals and systems.
4-	Define Fourier series, transforms and their properties.

b. Intellectual Skills:

1-	b1. Analyse the analogue and discrete signals in time and frequency domains.
2-	b2. Analyse analogue systems in time and frequency domains, examples on electric systems.

c. Professional and Practical Skills:

1-	c1. Use software tools (MATLAB) in signal analysis.
2-	c2. Prepare technical report.

d. General and Transferable Skills:

1-	d1. Communicate effectively with other people using visual, graphic, written and verbal means.
2-	d2. Manage time to meet deadlines.
3-	d3. Search for information related to signal and systems applications.
4-	d4. Refer the relevant literatures in report writing

For further information :

Telephone: 16383 (16FUE)
E-mail: [email protected]

Signal Analysis

Course topics and contents:

Topic	No. of hours	Lecture	Tutorial/Practical
Concepts and analysis of Continuous-time systems	19	12	7
Convolution integral and properties	10	6	4
Fourier series and Fourier transform	15	9	6
Discrete-time signals	15	9	6
Continuous-time signals	16	9	7

For further information :

Telephone: 16383 (16FUE)
E-mail: [email protected]

Signal Analysis

Teaching And Learning Methodologies:

Teaching and learning methods
Interactive Lecturing
Discussion
Problem Solving
Assignments/Research

For further information :

Telephone: 16383 (16FUE)
E-mail: [email protected]

Signal Analysis

Course Assessment :

Methods of assessment	Relative weight %	Week No.	Assess What
2 Midterms	30.00
Final Exam	40.00	16	to assess the comprehensive understanding of the scientific background of the course, to assess the ability of problem solving and of analysis and design of simple electronic circuits
In Class Quizzes	10.00
Performance/assignments	20.00