19E052SIS - Signals and Systems

Course specification
Course title		Signals and Systems
Acronym		19E052SIS
Study programme		Electrical Engineering and Computing
Module		Telecommunications and Information Technologies
Type of study		bachelor academic studies
Lecturer (for classes)		asst. professor PhD Sanja Vujnović
Lecturer/Associate (for practice)		Aleksa Jovanović, electrical and computer engineer asst. Aleksa Stojić, electrical and computer engineer Maša Tiosavljević, electrical and computer engineer
Lecturer/Associate (for OTC)		asst. Aleksa Stojić, electrical and computer engineer asst. MA Marija Novičić, electrical and computer engineer Maša Tiosavljević, electrical and computer engineer Aleksa Jovanović, electrical and computer engineer asst. MA Nikola Knežević, electrical and computer engineer
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
URL to the subject page		http://automatika.etf.rs/sr/13e052sisr
URL to lectures		https://teams.microsoft.com/l/team/19%3AJrTcuwboC9rtP41zCX91U6M1EXMuKgFmtJm5Gc3gjnM1%40thread.tacv2/conversations?groupId=8f495d14-5366-47e8-8e83-865888e40cf9&tenantId=1774ef2e-9c62-478a-8d3a-fd2a495547ba
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.
Literature
Signals and Systems, B. Kovacevic, Z.. Djurovic S. Stankovic, Academic mind, 2007. Signals, Systems, and Transforms, Charles Phillips, John Paar, Eve Riskih, Prentice Hall, 2003.
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	45
Practical lessons		10	Oral examination	0
Projects
Colloquia		45
Seminars		0