13E052PSA - Software Tools - Practicum

Course specification
Course title		Software Tools - Practicum
Acronym		13E052PSA
Study programme		Electrical Engineering and Computing
Module
Type of study		bachelor academic studies
Lecturer (for classes)		asst. professor PhD Sanja Vujnović
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)		asst. professor PhD Sanja Vujnović asst. MA Marija Novičić, electrical and computer engineer asst. MA Nikola Knežević, electrical and computer engineer asst. Aleksa Stojić, electrical and computer engineer Maša Tiosavljević, electrical and computer engineer Aleksa Jovanović, electrical and computer engineer
ESPB		3.0	Status	elective
Condition		None.
The goal		Introducing students to the basic software tools needed to solve various problems in the later years of study, Matlab, Simulink, LabView.
The outcome		Students will be able to use software packages Matlab, Simulink and LabView to solve various engineering problems (optimization, analysis of continuous and discrete signals and systems, digital signal processing, automatic control, etc).
Contents
URL to the subject page		https://automatika.etf.bg.edu.rs/sr/13e052psa
URL to lectures		https://teams.microsoft.com/l/team/19%3aTROPiE_eROjDXPS0EEtm5OiG8qhAvoZDpJW2FaRWaF41%40thread.tacv2/conversations?groupId=63144508-e7de-459a-a255-68f47f757939&tenantId=1774ef2e-9c62-478a-8d3a-fd2a495547ba
Contents of lectures		Theoretical basis for understanding the problem statements and adopted methods for which solutions are obtained by aid of software tools.
Contents of exercises		Basics of software package Matlab. Analysis of functions defined analytically and numerically. Solving systems of (non)linear equations. Optimization of functions with one or multiple parameters. Application of Discrete and Fast Fourier Transform for spectral analysis. Simulink and systems analysis in Simulink. Software package LabView and its applications.
Literature
C. Phillips, J. Paar, E. Riskih: Signals, Systems, and Transforms, Prentice Hall, 2003. S.K. Mitra: Digital signal processing, McGraw-Hill, 2001.
Number of hours per week during the semester/trimester/year
Lectures	Exercises	OTC	Study and Research	Other classes
1	0	1.5
Methods of teaching		Lectures, laboratory exercises. Students are obliged to resolve and defend 6 practical domestic tasks, which earn them exam points.
Knowledge score (maximum points 100)
Pre obligations		Points	Final exam	Points
Activites during lectures		0	Test paper	30
Practical lessons		70	Oral examination	0
Projects
Colloquia		0
Seminars		0