Faculty of Engineering and Natural Sciences
Department of Electrical and Electronic Engineering

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 7 3 + 2 7 English

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

The primary goals of this course are to provide an understanding of the fundamentals that govern the behavior of signals snd systems and to provide the student with a sophisticated set of tools for analyzing systems. The course will also serve as a prerequisite for other courses, such as Introduction to Communication Systems. This course is designed to introduce the student to the theory and the mathematical techniques used in analyzing and understanding signals and systems. It covers the theory of Fourier series, Fourier transform, their properties, correlation between signals, discrete Fourier transform (DFT), etc.
The idea is to provide a foundation to numerous other courses that deal with signal and system concepts directly or indirectly, like communication, control, instrumentation, and so on. The concepts in this course are also useful to students of disciplines other than electrical engineering such as mechanical engineering, chemical engineering and aerospace engineering.

  1. Introduction to Communication Systems
  2. Basics and Classification of Signals
  3. Signal Operations. Unit Pulse and Step Function
  4. Siignal Approximation and Signal Comparison. Correlation
  5. Trigonometric Fourier Series
  6. Exponential Fourier Series
  7. Fourier Integral
  8. Transforms of Some Useful Functions
  9. Some Properties of the Fourier Transforms
  10. Some Properties of the Fourier Transforms (cont.)
  11. Signal Distortion
  12. Signal Energy and Energy Spectral Density
  13. Signal Power and Power Spectral Density
  14. Final Exam Review and Course Wrap-up

  1. Tutorial 1, HW 1
  2. LAB 1, HW 1

  1. Tutorial 2, Quiz 1
  2. LAB 2, HW 2
  3. Tutorial 3, HW 2
  4. Tutorial 4, Quiz 2
  5. LAB 3, HW 3
  6. Tutorial 5, HW 3
  7. Tutorial 6, HW 4
  8. LAB 4, HW 4
  9. Tutorial 7
  10. Tutorial 8
  11. Tutorial 9

  • Lectures
  • Practical Sessions
  • Excersises
  • Presentation
  • Assignments
  • Recitation
  • Demonstration
Description (%)
Method Quantity Percentage (%)
Midterm Exam(s)125
Final Exam125
+Class Participation19
Total: 100
Learning outcomes
  • Describe the most important properties of communication systems
  • Understand mathematical descriptions and representations of continuous and discreet 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
  • B.P Lathi, Modern Digital and Analog Communication Systems, Third Edition, Oxford University Press, New York, 1998

ECTS (Allocated based on student) WORKLOAD
Activities Quantity Duration (Hour) Total Work Load
Lecture (14 weeks x Lecture hours per week)313
Laboratory / Practice (14 weeks x Laboratory/Practice hours per week) 0
Midterm Examination (1 week)122
Final Examination(1 week)122
Preparation for Midterm Examination 0
Preparation for Final Examination70
Total Workload: 7
ECTS Credit (Total workload/25): 0