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13E063SP - Sensors and Actuators

Course specification
Course title Sensors and Actuators
Acronym 13E063SP
Study programme Electrical Engineering and Computing
Module
Type of study bachelor academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
    Lecturer/Associate (for OTC)
    ESPB 6.0 Status elective
    Condition No prerequisite
    The goal Teach students about energy domains, information flow between them and signal processing. Introduction to the physical principles of operation, measurement techniques, classification and calibration of sensors in each domain. Different aspects of sensor integration in microprocessor based systems.
    The outcome The student knows the energy domains and the principles of the conversion of sensor signals among them. The student knows the most important types of sensors for each energy domain and can choose the optimal sensor for specific application. Students are able to handle different problems in the domain of sensor signal processing, sensor interfacing and measurement and control systems design.
    Contents
    URL to the subject page http://nobel.etf.bg.edu.rs/studiranje/kursevi/of3sp/
    URL to lectures https://teams.microsoft.com/l/team/19%3Af94bO6YfG9KHZ3jwkriSyCxiVNppqUErXaxQQ1I_yMM1%40thread.tacv2/conversations?groupId=ddc01536-7ff5-40a4-8dcc-fbc3efadce7b&tenantId=1774ef2e-9c62-478a-8d3a-fd2a495547ba
    Contents of lectures Information processing in measuring and control systems. The sensor effect tetrahedron: an extended transducer space. EM radiation, magnetic, electrical, thermal, mechanical and chemical energy domain sensors. Calibration. Transducer interfacing and signal processing. Introduction to microcontroller based sensor system design. Introduction to smart transducers standards. IoT systems.
    Contents of exercises Laboratory exercises in which students characterize several sensors and use them for measurement.
    Literature
    1. S. Soloman, Sensors Handbook, McGraw-Hill, Inc. New York, 2009 (Original title)
    2. D. Stankovic, Measurement, University of Belgrade, Belgrade, 1997
    3. N. Kirianaki, S. Yurish, N. Shpak, V. Deynega, Data Acquisition and Signal Processing for Smart Sensors, John Wiley & Sons, 2002 (Original title)
    4. J. S. Wilson, Sensor Technology Handbook, Elsevier 2005 (Original title)
    5. S. C. Mukhopadhyay, G. S. Gupta, Smart Sensors and Sensing Technology, Springer-Verlag, 2008 (Original title)
    Number of hours per week during the semester/trimester/year
    Lectures Exercises OTC Study and Research Other classes
    3 2
    Methods of teaching 45 hours of lectures and 30 hours of laboratory exercises.
    Knowledge score (maximum points 100)
    Pre obligations Points Final exam Points
    Activites during lectures 0 Test paper 45
    Practical lessons 10 Oral examination 0
    Projects 0
    Colloquia 45
    Seminars 0