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Course List

Signals and Systems

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

Instructor information :

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.

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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

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Signals and Systems

Course outcomes:

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

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Signals and Systems

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

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Signals and Systems

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

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Signals and Systems

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

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Signals and Systems

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

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