Category | Professional-applicative |
Scientific or art field | Mehatronika, robotika i automatizacija i integrisani sistemi |
ECTS | 4 |
The course teaches the students the basic elements of a system for automatic identification and design of systems aiming to improve work processes.
Outcomes of the course are mastering the techniques and the choice of appropriate systems and / or devices that can be applied in a variety of manufacturing and service processes. Special emphasis is on the application of various technologies for automatic identification in a single system.
Introduction to systems for automatic identification. Technology for automatic identification of objects. Labeling and object recognition. Principles and types of barcode technology. Ways to use barcode technology. Principles of RFID technology. Methods of application of RFID technology. Principles of OCR technology. Principles of effective data management. Creating a business case for implementation of automatic identification. Prikupnjenih control data. Process management based on data collected from the work process. Study the possibilities and limitations for the application of automatic identification in a variety of manufacturing and service systems and different processes.
Teaching is conducted through lectures and exercises. During the exercises the student is required to do practice-oriented tasks. Knowledge testing is carried out through two tests and the final exam, while before that student has to do all the exercises provided. The final exam is in written form.
Authors | Title | Year | Publisher | Language |
---|---|---|---|---|
2017 | English | |||
2010 | English | |||
2009 | English |
Course activity | Pre-examination | Obligations | Number of points |
---|---|---|---|
Test | Yes | Yes | 10.00 |
Written part of the exam - tasks and theory | No | Yes | 70.00 |
Exercise attendance | Yes | Yes | 5.00 |
Coloquium exam | No | No | 20.00 |
Test | Yes | Yes | 10.00 |
Coloquium exam | No | No | 20.00 |
Lecture attendance | Yes | Yes | 5.00 |
Full Professor
Assistant - Master
Assistant - Master
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© 2024. Faculty of Technical Sciences.