13E052SISR - Signals and Systems

Course specification
Course title		Signals and Systems
Acronym		13E052SISR
Study programme		Electrical Engineering and Computing
Module		Computer Engineering and Informatics
Type of study		bachelor academic studies
Lecturer (for classes)		professor PhD Željko Đurović asst. professor PhD Predrag Tadić
Lecturer/Associate (for practice)		asst. professor PhD Sanja Vujnović asst. Aleksa Stojić, electrical and computer engineer Maša Tiosavljević, electrical and computer engineer Aleksa Jovanović, electrical and computer engineer
Lecturer/Associate (for OTC)		professor PhD Aleksandra Krstić asst. professor PhD Sanja Vujnović asst. MA Nikola Knežević, electrical and computer engineer asst. MA Marija Novičić, electrical and computer engineer asst. Aleksa Stojić, electrical and computer engineer Maša Tiosavljević, electrical and computer engineer Aleksa Jovanović, electrical and computer engineer
ESPB		6.0	Status	mandatory
Condition		none
The goal		The objective of the course is to inform students about the modelling and characterization of continuous and discrete systems. Also, the goal is for students to understand basic tools for signals and systems analysis in time, frequency and complex domain.
The outcome		After the passing this exam, students will have the 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
Contents of lectures		Signals and systems classification; 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 of signals sampling; Discrete Fourier transform.
Contents of exercises		Within this course, students have the obligation of solving 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 classes of theoretical lectures + 15 classes of practical lectures and two laboratory exercises in the Signals and systems department Laboratory.
Knowledge score (maximum points 100)
Pre obligations		Points	Final exam	Points
Activites during lectures		0	Test paper	50
Practical lessons		10	Oral examination
Projects
Colloquia		40
Seminars		0