SI2SIS - Signals and Systems

Course specification
Course title		Signals and Systems
Acronym		SI2SIS
Study programme		Software Engineering
Module
Type of study		bachelor academic studies
Lecturer (for classes)		professor PhD Željko Đurović professor PhD Goran Kvaščev
Lecturer/Associate (for practice)		professor PhD Aleksandra Krstić professor PhD Sanja Vujnović
Lecturer/Associate (for OTC)		professor PhD Aleksandra Krstić professor PhD Sanja Vujnović
ESPB		6.0	Status	elective
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
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
Signali i sistemi, B. Kovačević, Ž. Đurović, S. Stanković, Akademska misao, 2007. (Original title) 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
2	2	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