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19E042SIS - Signals and Systems

Course specification
Course title Signals and Systems
Acronym 19E042SIS
Study programme Electrical Engineering and Computing
Module Electronics and Digital Systems
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 Development of analytical and computer-based skills for the analysis and synthesis of continual and discrete signals and systems, in time and frequency domain
The outcome After this course, students are able to understand and apply Fourier, Laplace and Z transform methods of signal processing
Contents
URL to the subject page http://tnt.etf.bg.ac.rs/~oe2sis/
URL to lectures https://teams.microsoft.com/l/team/19%3aVX-DlBoCoUZYhk6SnKeNUAQPh5Nb4rDtMzPxEzZjeko1%40thread.tacv2/conversations?groupId=00edbee1-b606-465b-a8d6-9d5c20a630b4&tenantId=1774ef2e-9c62-478a-8d3a-fd2a495547ba
Contents of lectures Definition and classification of signals and systems. Basic characteristics of systems. Application of differential and difference equation for system modelling. Fourier analysis of continuous and discrete signals. Laplace transformation of continuous signals. The transfer function, poles and zeros a system. Z transformation of discrete signals. Sampling and reconstruction of continuous signals.
Contents of exercises Introduction and use of selected software tools for signals and systems processing
Literature
  1. Miodrag Popović, Signals and systems, Academic mind, 2006.
  2. Milan Ponjavić, Zbirka zadataka iz signala i sistema, Akademska misao 2006 (Original title)
  3. A. Oppenheim, A. Willsky, S. Nawab, Signals and Systems, 2nd Ed., Prentice Hall, 1997. (Original title)
  4. M. Roberts, Signals and Systems, McGrawHill, 2004 (Original title)
  5. C. Phillips, J. Paar, E. Riskin, Signals, Systems, and Transforms, Prentice Hall, 2003 (Original title)
Number of hours per week during the semester/trimester/year
Lectures Exercises OTC Study and Research Other classes
3 2 0.5
Methods of teaching Lectures with computer demonstrations. Exercises in computer laboratory.
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 0
Colloquia 45
Seminars 0