| Course Code |
Course Title |
Weekly Hours* |
ECTS |
Weekly Class Schedule |
| T |
P |
| ENS211 |
Signals and Systems |
3 |
2 |
6 |
|
| Prerequisite |
MATH102 |
It is a prerequisite to |
|
| Lecturer |
Tarik Namas |
Office Hours / Room / Phone |
|
| E-mail |
tnamas@ius.edu.ba |
| Assistant |
Šejla Džakmić |
Assistant E-mail |
sdzakmic@ius.edu.ba |
| Course Objectives |
Introduce continuous and discrete time signals, and the analysis of both in time and frequency domains. Demonstrate an understanding of the fundamental properties of linear systems, by explaining the properties to others. Use linear systems tools, especially transform analysis and convolution, to analyze and predict the behavior of signals and linear systems as a whole C17.
|
| Textbook |
Fundamentals of Signals and Systems using the Web and Matlab, Edward W. Kamen, Bonnie S. Heck., Prentice Hall, 2007 |
| Additional Literature |
|
| Learning Outcomes |
After successful completion of the course, the student will be able to: |
- Explain the concept of signal and its application in engineering
- Explain basic properties of linear systmes and their relation to various signals
- Explain the role of convolution in the analysis of linear time invariant systems, and use convolution to determine the response of linear systems to arbitrary inputs.
- Explain and demonstrate different transforms techniques (Fourier series, Fourier Transform, Discrete Fourier Transform) in signal processing
- Demonstrate an understanding of the relation among the transfer function, convolution, and the impulse response, by explaining the relationship
|
| Teaching Methods |
Class discussions with examples. Active tutorial sessions for engaged learning and continuous feedback on progress. Assigments |
| Teaching Method Delivery |
Face-to-face |
Teaching Method Delivery Notes |
|
| WEEK |
TOPIC |
REFERENCE |
| Week 1 |
Introduction to Signals and Systems. Overview. |
Lecture notes |
| Week 2 |
Classification of signals. Various types of signals used in signal processing. |
Chapter 1 |
| Week 3 |
System properties |
Chapter 1 |
| Week 4 |
System Identity and Convolution |
Chapter 2 |
| Week 5 |
Fourier series: trigonometric and complex |
Chapter 3 |
| Week 6 |
Fourier series: trigonometric and complex |
Chapter 3 |
| Week 7 |
Fourier transform (FT) and Inverse FT. FT properties. |
Chapter 3 |
| Week 8 |
MIDTERM EXAM |
|
| Week 9 |
Discrete- time Signals and Systems |
Chapter 4 |
| Week 10 |
Fourier Analysis of Discrete-time signals |
Chapter 4 |
| Week 11 |
Discrete-time Convolution |
Chapter 5 |
| Week 12 |
Laplace Transform |
Chapter 6 |
| Week 13 |
System Analysis using Frequency Response |
Chapter 5 |
| Week 14 |
Analysis of ideal filters |
Chapter 5 |
| Week 15 |
Review |
|
