INTERNATIONAL BURCH UNIVERSITY
Faculty of Engineering and Natural Sciences
Department of Electrical and Electronic Engineering
2015-2016

SYLLABUS
Code Name Level Year Semester
EEE 212 Signals and Systems   Undergraduate 2 Spring
Status Number of ECTS Credits Class Hours Per Week Total Hours Per Semester Language
Compulsory 6 3 + 2 150

Instructor Assistant Coordinator
Jasmin Kevrić, Assist. Prof. Dr. Jasmin Kevric Harun Šiljak, Assist. Prof. Dr.
[email protected] [email protected] no email

The course presents and integrates the basic concepts for continuous-time signals and systems. Signal and system representations are developed for both time and frequency domains. These representations are related through the Fourier transform and its generalizations, which are explored in detail. Filter design and modulation for analog systems are discussed and illustrated.

COURSE OBJECTIVE
The aim of this course is to provide fundamental concepts in signals and systems, as an introduction to analog and digital signal processing. Signal processing represents a base upon which various engineering systems are build, including communication systems, digital systems, image processing, speech processing, consumer electronics, and data processing.

COURSE CONTENT
Week
Topic
  1. Introduction to signals and systems
  2. Continuous-Time Signals
  3. Continuous-Time Signals
  4. Continuous-Time Systems
  5. Continuous-Time Systems
  6. Direct Laplace Transform
  7. Midterm Review
  8. MIDTERM
  9. Post-midterm Review
  10. Inverse Laplace Transform
  11. The Fourier Series
  12. The Fourier Series
  13. The Fourier Transform
  14. The Fourier Transform
  15. Final Exam Review

LABORATORY/PRACTICE PLAN
Week
Topic
  1. MATLAB Introduction
  2. Tutorial 1
  3. Tutorial 2
  4. LAB 1
  5. Tutorial 3
  6. Tutorial 4
  7. LAB 2
  8. MIDTERM EXAM
  9. Tutorial 5

  1. Tutorial 6
  2. Tutorial 7
  3. Tutorial 8
  4. LAB 3
  5. Tutorial 9
  6. LAB 4

TEACHING/ASSESSMENT
Description
  • Interactive Lectures
  • Practical Sessions
  • Discussions and group work
  • Problem solving
Description (%)
Method Quantity Percentage (%)
Quiz410
Midterm Exam(s)130
Laboratory415
Attendance15
Final Exam140
Total: 100
Learning outcomes
  • Describe the most important properties of LTI systems
  • Understand mathematical descriptions and representations of continuous signals and systems
  • Apply same useful operations to the signals, such as shifting, scaling and inversion. This means that student will be able to manipulate with the signal to obtain a desired form
  • Understand the process of time and frequency convolution of two functions and how convolution affects the bandwidth of the product of two signals
  • Familiarize with the idea of representing continuous time signals and LTI systems in the frequency domain
  • Understand spectral representation of signals via Fourier Series and Fourier Transform and their properties and applications
  • Ability to solve differential equations using Fourier transforms
  • Improve the knowledge of mathematics and thus be more prepared for learning and mastering many other courses
TEXTBOOK(S)
  • Luis F. Chaparro, “Signals and Systems using MATLAB”, Academic Press

ECTS (Allocated based on student) WORKLOAD
Activities Quantity Duration (Hour) Total Work Load
Lecture (14 weeks x Lecture hours per week)14342
Laboratory / Practice (14 weeks x Laboratory/Practice hours per week)14228
Midterm Examination (1 week)122
Final Examination(1 week)122
Preparation for Midterm Examination13838
Preparation for Final Examination13838
Assignment / Homework/ Project 0
Seminar / Presentation 0
Total Workload: 150
ECTS Credit (Total workload/25): 6