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Course List

Signal Analysis

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

Instructor information :

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 :

Signal Analysis

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 :

Signal Analysis

Course outcomes:

a. Knowledge and Understanding:

1- a1. Illustrate the application of mathematics in analog signals and systems description and classification.
2- a2. List the main properties of convolution integral and applications
3- a3. List the different types of analogue signals and systems.
4- a4. Define Fourier series and transforms and its properties.

b. Intellectual Skills:

1- b1. Analyse the analogue 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 MATLAB in signal analysis
2- c2. Present and discuss 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 for self-learning
4- d4. Refer to relevant literatures in report writing

For further information :

Signal Analysis

Course topics and contents:

Topic No. of hours Lecture Tutorial/Practical
Basic concepts of analogue signals 15 9 6
Basic concepts of analogue systems 20 12 8
Convolution integral and properties 20 12 8
Fourier series and Fourier transform 20 12 8

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Signal Analysis

Teaching And Learning Methodologies:

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

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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

For further information :

Signal Analysis

Books:

Book Author Publisher
Analog and Digital Signal Processing Ashok Ambardar Brooks
Principles of Linear Systems and Signals  B. P. Lathi Oxford University 

Course notes :

No course notes are required

Recommended books :

Alan V. Oppenheim ‘Signals and Systems ‘,2nd Edition

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