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Altagamoa Al Khames, Main centre of town, end of 90th Street
New Cairo
Egypt
Faculty of Computers & Information Technology
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# List of Courses

## Signals and Systems

• Course Code :
DM231
• Level :
• Course Hours :
3.00 Hours
• Department :
Digital Media Technology

## Area of Study :

Comprehend deeply the basic concepts and theories of continuous and discrete-time signals. Understand basic mathematics to learn the principles of signal convolution. Solve problems of linear time-invariant systems based on problem requirements. Compare, evaluate and select methodologies to learn important signal transforms such as continuous time and discrete time Fourier transforms, Laplace transform and z-transform.

## Signals and Systems

Introduction to continuous time and discrete time signals and systems, linear time invariant systems, Fourier transform for continuous and discrete time signals, Sampling theorem, Laplace transform, Z-Transform, Transfer function; State apace representation; Applications

## a. Knowledge and Understanding:

 1- Identify the fundamental concepts and theories related to analog signals and systems description and classification 2- Discuss fundamental mathematics required to signal convolution integral 3- Explain the fundamental topics of signal transform such as Fourier transform, Laplace transform and z-transform

## b. Intellectual Skills:

 1- Analyze the application of signal convolution integral

## c. Professional and Practical Skills:

 1- Use MATLAB in signal analysis 2- Deploy effective computing technologies to solve problems of linear time invariant systems 3- Apply effective information to acquire and manage information storage and retrieval skills in signal transforms

## d. General and Transferable Skills:

 1- Exploit a range of learning resources

## Course topics and contents:

Topic No. of hours Lecture Tutorial/Practical
Basic Signals and Systems: Continuous-Time Signal and Discrete-Time Signal 4 2 2
Basic Signals and Systems: Unit impulse and unit step functions 4 2 2
Basic Signals and Systems: Sampling and aliasing 4 2 2
Basic Signals and Systems: Continuous-time and discrete-Time signal properties. 4 2 2
Linear Time-Invariant (LTI) Systems: Convolution sum, the convolution integral 4 2 2
Linear Time-Invariant (LTI) Systems: Properties, difference and differential equations 4 2 2
Fourier Series Representation of Periodic Signals: Continuous- and Discrete-Time 4 2 2
Fourier Series Representation of Periodic Signals: Properties of Continuous-Time and Discrete-Time Fourier Series 4 2 2
Mid-Term Exam 2
Continuous-Time Fourier Transform (CTFT) 4 2 2
Discrete-Time Fourier Transform (DTFT) 4 2 2
Laplace Transform 4 2 2
Z Transform 4 2 2
Final Exam 2

## Teaching And Learning Methodologies:

Teaching and learning methods
Interactive Lectures including Discussions
Tutorials
Practical Lab Sessions
Self-Study (Project / Reading Materials / Online Material / Presentations)
Problem Solving

## Course Assessment :

Methods of assessment Relative weight % Week No. Assess What
Assignments 10.00 4
Final Exam 40.00 14
Midterm Exam (s) 30.00 9
Others (Participations) 10.00
Quizzes 10.00 5

## Books:

Book Author Publisher

## Course notes :

An Electronic form of the Course Notes and all the slides of the Lectures is available on the Students Learning Management System (Moodle)

## Web Sites :

Math Works Website http://www.mathworks.com