13E052PMS - Practicum of measurement and data acquisition systems

Course specification
Course title		Practicum of measurement and data acquisition systems
Acronym		13E052PMS
Study programme		Electrical Engineering and Computing
Module
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. MA Petar Atanasijević, electrical and computer engineer
Lecturer/Associate (for OTC)		professor PhD Milica Janković asst. MA Marija Novičić, electrical and computer engineer asst. MA Petar Atanasijević, electrical and computer engineer
ESPB		3.0	Status	elective
Condition
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		http://automatika.etf.bg.edu.rs/sr/13e052pis
URL to lectures		https://teams.microsoft.com/l/team/19%3aAKrN6gyVV0dq6N9bADviqi8y0nKLDj3lB-WqY48Hf701%40thread.tacv2/conversations?groupId=1053a3dc-4882-4359-b302-fc989972fe4c&tenantId=1774ef2e-9c62-478a-8d3a-fd2a495547ba
Contents of lectures		Principles of data acquisition in Labview, Arduino and Python environment. Software modularity. Data flow programming. Sequential programming. Machine state. Race conditions. Synchronization techniques. Event programming. File I/O techniques. Error handling. Code optimization. Basics of image acquisition: setting up Field of View, exposure time, triggering, camera calibration.
Contents of exercises		Setting up data acquisition hardware. Troubleshooting and debugging. Using local, global and functional global variables. Using arrays, clusters and type definitions. Creating SubVIs. Methods for controlling the user interface. Using events. Synchronization techniques. Using spreadsheet, bitmap and TDMS files. Creating a stand-alone application.
Literature
Labview Core 1 Participant Guide, National Instruments, November 2014 (Original title) Labview Core 2 Participant Guide, National Instruments, November 2014 (Original title) Kye-Si Kwon and Steven Ready, "Practical Guide to Machine Vision Software - An Introduction with LabVIEW", Wiley-VCH Verlag GmbH & Co. KGaA, Germany, 2015. (Original title) Jeremy Blum, "Exploring Arduino: Tools and Techniques for Engineering Wizardry", John Wiley&Sons Inc, Indiana, 2013. (Original title) Vernon L. Ceder, "The Quick Python Book", Manning Publications Co, United Kingdom, 2010. (Original title)
Number of hours per week during the semester/trimester/year
Lectures	Exercises	OTC	Study and Research	Other classes
0	1	2
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		0	Test paper	45
Practical lessons		0	Oral examination
Projects
Colloquia		10
Seminars		45