Faculty of Technical Sciences

Subject: Computer control system technologies (17.E238A)

Native organizations units: Sub-department for Automatic Control and Systems Engineering
General information:
 
Category Professional-applicative
Scientific or art field Automatic Control and System Engineering
Interdisciplinary No
ECTS 6
Educational goal:

Students learn about modern technologies and development trends in the filed of control systems.

Educational outcome:

The acquired knowledge can be used in solving practical engineering problems and form the basis for future engineering courses.

Course content:

Systematic engineering approach and computer control systems. Basic theoretical knowledge which enables understanding of laboratory classes with semi- industrial plants (temperature regulations, level and flow, Ph value, DC motor, robotic hand, digital signal processing, SCADA), as well as understanding of processes encountered with real life industrial plants. Current computer based automatic control projects for industrial purposes. Visits to industrial plants and other institutions which apply bioengineering technologies in order to examine contemporary technologies of computer based control.

Teaching methods:

Lectures. Laboratory and computer-laboratory practice classes. Consultations. Part of the course which forms a logical whole can be taken in the form of colloquium. Colloquium and examination are written and oral. Both parts are taken in written form. The final grade is based on the colloquium, obligatory assignment, written and oral part of the examination.

Literature:
Authors Title Year Publisher Language
Filip Kulić Radni materijali za predmet tehnologije upravljačkih sistema 2005 Serbian language
Robert N. Bateson Introduction to Control System Technology 2002 Prentice Hall English
Knowledge evaluation:
Course activity Pre-examination Obligations Number of points
Project Yes Yes 50.00
Oral part of the exam No Yes 50.00
Lecturers:

Asistent Dragutinović Đorđe

Assistant - Master

Computational classes

prof. dr Kulić Filip

Full Professor

Lectures
API Image

doc. dr Bugarski Vladimir

Assistant Professor

Computational classes

Faculty of Technical Sciences

© 2024. Faculty of Technical Sciences.

Contact:

Address: Trg Dositeja Obradovića 6, 21102 Novi Sad

Phone:  (+381) 21 450 810
(+381) 21 6350 413

Fax : (+381) 21 458 133
Emejl: ftndean@uns.ac.rs

© 2024. Faculty of Technical Sciences.