13E052SISG - Signals and Systems

Course specification
Course title		Signals and Systems
Acronym		13E052SISG
Study programme		Electrical Engineering and Computing
Module		Power Engineering
Type of study		bachelor academic studies
Lecturer (for classes)		professor PhD Aleksandra Krstić asst. professor PhD Sanja Vujnović
Lecturer/Associate (for practice)		asst. Aleksa Stojić, electrical and computer engineer Aleksa Jovanović, electrical and computer engineer
Lecturer/Associate (for OTC)		asst. professor PhD Sanja Vujnović professor PhD Aleksandra Krstić 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		Introduce students to the basics of modeling continuous- and discrete-time signals and characterization of continuous- and discrete-time signals. Understanding the basic tools for analyzing signals and systems in time, frequency and complex domain. Enable students to understand and use Fourier, Zed and Laplace transformation, and to perform computer analysis of signals and systems.
The outcome		Upon passing the exam, students will have the basic skills to analyze and classify measured experimental data, to carry out basic experiments on systems, and to use basic computer programs for processing obtained data.
Contents
URL to the subject page		https://automatika.etf.bg.edu.rs/sr/13e052sisg
URL to lectures		https://teams.microsoft.com/l/team/19%3AoYP08G0dZJ_Dn0PXZycwrCNk3rK9Hjo-yINfORvsytg1%40thread.tacv2/conversations?groupId=e3c16ead-ceb9-4ab1-8cc3-8d0704ce7405&tenantId=1774ef2e-9c62-478a-8d3a-fd2a495547ba
Contents of lectures		Classification of signals and systems. Properties of systems. Fourier series. Fourier transformation. Bode diagrams. Laplace transform. Transfer function, stability and causality of LTI continuous and discrete systems. Zed transformation. Sampling theorem. Discrete Fourier transformation.
Contents of exercises		During the course, students are required to implement three practical tasks independently using MATLAB (continuous calculation of convolution of discrete signals, Fourier series approximation of periodic signals, calculation of the frequency response of a continuous system).
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	2	1
Methods of teaching		45 hours of lectures + 30 hours of recitations + 15 hours of laboratory exercises. Approximately 75 hours of preparation for the test and final exam.
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