INTERNATIONAL BURCH UNIVERSITY
Faculty of Engineering and Natural Sciences
Department of Electrical and Electronic Engineering
20152016
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 

The course presents and integrates the basic concepts for continuoustime 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 
 Introduction to signals and systems
 ContinuousTime Signals
 ContinuousTime Signals
 ContinuousTime Systems
 ContinuousTime Systems
 Direct Laplace Transform
 Midterm Review
 MIDTERM
 Postmidterm Review
 Inverse Laplace Transform
 The Fourier Series
 The Fourier Series
 The Fourier Transform
 The Fourier Transform
 Final Exam Review

LABORATORY/PRACTICE PLAN 
 MATLAB Introduction
 Tutorial 1
 Tutorial 2
 LAB 1
 Tutorial 3
 Tutorial 4
 LAB 2
 MIDTERM EXAM
 Tutorial 5

 Tutorial 6
 Tutorial 7
 Tutorial 8
 LAB 3
 Tutorial 9
 LAB 4

Description 
 Interactive Lectures
 Practical Sessions
 Discussions and group work
 Problem solving

Description (%) 
Quiz  4  10  Midterm Exam(s)  1  30  Laboratory  4  15  Attendance  1  5  Final Exam  1  40 

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 
Lecture (14 weeks x Lecture hours per week)  14  3  42  Laboratory / Practice (14 weeks x Laboratory/Practice hours per week)  14  2  28  Midterm Examination (1 week)  1  2  2  Final Examination(1 week)  1  2  2  Preparation for Midterm Examination  1  38  38  Preparation for Final Examination  1  38  38  Assignment / Homework/ Project    0  Seminar / Presentation    0 
