Will be able to learn and to utilize signal types.
Will be able to learn and to utilize continous-time and discrete-time Fourier series.
Will be able to learn and to utilize continous-time and discrete-time Fourier transforms.
Will be able to gain problem solving skills for signals and systems problems.
Will be able to be able to utilize the related software for signals and systems.
Mode of Delivery
Face to face
Prerequisites
No
Recommended Optional Programme Components
Mathematics and physics courses in the first year.
Course Description
Classification of systems. Systems defined by differential or difference equations. Impulse responses of continuous-time and discrete-time systems. Convolution representation of linear time-invariant systems. Fourier series. Fourier transform. Discrete time Fourier transform.
Course Contents
WEEK
TOPICS
1st Week
Signals and Systems Definitions
2nd Week
LTI Continuous and Discerete Time Systems
3rd Week
LTI Continuous and Discerete Time Systems
4th Week
Fourier Transform for periodic signals
5th Week
Fourier Transform for periodic signals
6th Week
Convolution Integral and Sum
7th Week
Fourier Transform for continuous time signals
8th Week
Midterm
9th Week
Fourier Transform for continuous time signals
10th Week
Fourier Transform for continuous time signals
11th Week
Fourier Transform for discrete time signals
12th Week
Fourier Transform for discrete time signals
13th Week
Fourier Transform for discrete time signals
14th Week
Review
Recommended or Required Reading
Oppenheim, A. V., Willsky, A. S., (1997) "Signals and Systems", Prentice-Hall, 2nd Ed.
Buck-Daniel-Singer, (2002) "Signals and Systems using MATLAB", Prentice-Hall, 2nd Ed.
Planned Learning Activities and Teaching Methods
Lecture
Questions/Answers
Problem Solving
Assessment Methods and Criteria
Quantity
Percentage (%)
Mid-term
1
35
Quiz
4
20
Total(%)
55
Contribution of In-term Studies to Overall Grade(%)
55
Contribution of Final Examination to Overall Grade(%)