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13E052SISR - Signals and Systems

Course specification
Course title Signals and Systems
Acronym 13E052SISR
Study programme Electrical Engineering and Computing
Module Computer Engineering and Informatics
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 The objective of the course is to inform students about the modelling and characterization of continuous and discrete systems. Also, the goal is for students to understand basic tools for signals and systems analysis in time, frequency and complex domain.
The outcome After the passing this exam, students will have the 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 Signals and systems classification; 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 of signals sampling; Discrete Fourier transform.
Contents of exercises Within this course, students have the obligation of solving three practical problems: 1. Calculation of signals convolution; 2. approximation of periodic signals using MATLAB; 3. calculation of system frequency response.
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 1 1
Methods of teaching 45 classes of theoretical lectures + 15 classes of practical lectures and two laboratory exercises in the Signals and systems department Laboratory.
Knowledge score (maximum points 100)
Pre obligations Points Final exam Points
Activites during lectures 0 Test paper 44
Practical lessons 12 Oral examination
Projects
Colloquia 44
Seminars 0