OS2SIS - Signals and Systems

Course specification
Course title Signals and Systems
Acronym OS2SIS
Study programme Electrical Engineering and Computing
Module Signals and Systems
Type of study bachelor academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
ESPB 6.0 Status mandatory
Condition none
The goal Objective of the course is to inform the students about the modelling of continuous and discrete systems as well as about the characterization of continuous and discrete signals. Also, the objective is for the students to understand basic tools for signals and systems analysis in time, frequency and complex domain.
The outcome After the passing this exam, student will have skills to classify and analyze the experimentally measured signals, to make basic experiments on systems, and to apply different techniques for signals and systems analysis (Fourier series, Fourier transformation, Laplace transformation, zed transformation).
Contents of lectures Classification of signals and systems; Systems properties; Fourier series of periodic signals; Fourier transformation; Bode diagrams; Laplace transformation; Transfer function; Stability and causality of continuous and discrete LTI systems; Zed transformation of discrete signals; Shannon theorem about signals sampling; Discrete Fourier transform.
Contents of exercises Within this course, students have obligation to solve three practical problems: 1. Calculation of signals convolution; 2. approximation of periodic signals using MATLAB; 3. calculation of system frequency response.
  1. Signali i sistemi, B. Kovačević, Ž. Đurović, S. Stanković, Akademska misao, 2007. (Original title)
  2. Signals, Systems, and Transforms, Charles Phillips, John Paar, Eve Riskih, Prentice Hall, 2003. (Original title)
Number of hours per week during the semester/trimester/year
Lectures Exercises OTC Study and Research Other classes
3 1 1
Methods of teaching 45 hours of lectures + 15 hours of auditory exercising + 15 hours of practical exercising with computers
Knowledge score (maximum points 100)
Pre obligations Points Final exam Points
Activites during lectures 0 Test paper 44
Practical lessons 12 Oral examination 0
Projects 0
Colloquia 44
Seminars 0