26E052PMS - Practicum of measurement and data acquisition systems

Course specification
Course title		Practicum of measurement and data acquisition systems
Acronym		26E052PMS
Study programme		Electrical Engineering and Computing
Module		Physical Electronics, Physical Electronics - Biomedical and Nuclear Engineering, Physical Electronics - Nanoelectronics and Photonics, Signals and Systems
Type of study		bachelor academic studies
Lecturer (for classes)		professor PhD Milica Janković
Lecturer/Associate (for practice)		professor PhD Milica Janković asst. MA Marija Novičić, electrical and computer engineer asst. professor PhD Petar Atanasijević
Lecturer/Associate (for OTC)		professor PhD Milica Janković asst. MA Marija Novičić, electrical and computer engineer asst. professor PhD Petar Atanasijević
ESPB		3.0	Status	elective
Condition		none
The goal		Introduce students to the basics of data acquisition and real-time programming.
The outcome		At the end of the course, students should be able to independently design virtual instrumentation for measurement and control as well as modular, stand-alone interface for real-time data acquisition and processing.
Contents
URL to the subject page		https://automatika.etf.bg.ac.rs/sr/13e052pis
Contents of lectures		Principles of data acquisition and system control in Arduino and Python environment. Software modularity. Acquisition of analog voltage and use of digital ports. Design of graphical user interfaces for user interaction in the Python programming environment. Application of the threading concept for parallel execution. File I/O techniques.
Contents of exercises		Setting up data acquisition hardware. Troubleshooting and debugging. Control of actuators via the Arduino platform. Use of various sensors. Using interrupt routines. Creating graphical user interfaces. Serial communication with the Arduino platform from the Python programming environment. Utilizing threads.
Literature
Milica Janković, Marko Barjaktarović, Marija Novičić, Petar Atanasijević, "Practicum of measurement and data acquisition systems", University of Belgrade - School of Electrical Engineering, electronic book, 2019. Naomi Ceder, "The Quick Python Book", 4th edition, Manning Publications Co, USA, 2025. (Original title) Pratik Desai, "Python Programming for Arduino", Packt Publishing Ltd, United Kingdom, 2015 (Original title) Jeremy Blum, "Exploring Arduino: Tools and Techniques for Engineering Wizardry", John Wiley&Sons Inc, USA, 2020. (Original title)
Number of hours per week during the semester/trimester/year
Lectures	Exercises	OTC	Study and Research	Other classes
0	1	1
Methods of teaching		For each lesson, after explaining the theoretical principles and illustration through the examples (practice), students have the opportunity to apply new knowledge by working the appropriate exercises (labwork).
Knowledge score (maximum points 100)
Pre obligations		Points	Final exam	Points
Activites during lectures			Test paper	30
Practical lessons			Oral examination
Projects		70
Colloquia
Seminars