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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)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
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.ac.rs/sr/13e052sisg
URL to lectures https://teams.microsoft.com/l/team/19%3aHT0xuFezNZdGij9A1FL6J_zxjxqxH1gzAuE_RAJMWLc1%40thread.tacv2/conversations?groupId=e3a33d9d-3b9e-4822-b9b7-365884b78ec9&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
  1. Signals and Systems, B. Kovacevic, Z.. Djurovic S. Stankovic, Academic mind, 2007.
  2. 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 40
Practical lessons 20 Oral examination 0
Projects
Colloquia 40
Seminars 0