Subject: Measurement and information systems and signals (17.EIMUT )
Native organizations units: No data
Study programmes of the course:
| Type of studies | Title |
|---|
Educational goal:
Acquiring the knowledge about fundamentals of signals in contemporary measurement and information systems, as well as tools and procedures for signal analysis and processing.
Educational outcome:
Understanding types of signals and parameters which characterize them. Understanding different procedures for their acquisition and archiving. Application of procedures for signal analysis and processing in contemporary measurement and information systems.
Course content:
Definition of a system. Linear, non-linear and complex systems. Signal theory and information theory. Abstraction of physical quantities and event horizon. Definitions and classifications of signals. Analytical and statistical parameters of signals. Characterization of some specific types of quasi-deterministic signals. Characterization of stochastic signals. Operation regimes of measurement and information systems. Excitation and response. Spectrum of a signal. Time-frequency transformations. Analysis of systems and signals in time and frequency domains. Signal processing and conditioning for the purpose of measurement. Analogue filters. Digital signals. Sampling, quantization and coding. Characterization of digital signals. Information and measures for quantities of information. Digital measurement systems. Analysis and processing of digital signals. Digital filters. Analogue and digital signal generators.
Teaching methods:
Lectures, auditory exercises, consultations.
Literature:
| Authors | Title | Year | Publisher | Language |
|---|---|---|---|---|
| 1 | 1 | 1 | ||
| Boris Antić | Merno-informacioni signali i sistemi, skripta | 2017 | Serbian language |
Knowledge evaluation:
| Course activity | Pre-examination | Obligations | Number of points |
|---|---|---|---|
| Practical part of the exam - tasks | No | Yes | 50.00 |
| Test | Yes | Yes | 40.00 |
| Exercise attendance | Yes | Yes | 5.00 |
| Lecture attendance | Yes | Yes | 5.00 |
Lecturers:
Asistent Mandić Sanja
Assistant - Master
Practical classes
doc. dr Gazivoda Nemanja
Assistant Professor
Practical classes
vanr. prof. dr Antić Boris
Associate Professor
Lectures
Faculty of Technical Sciences
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Contact:
Address: Trg Dositeja Obradovića 6, 21102 Novi Sad
© 2024. Faculty of Technical Sciences.