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26E063SP - Sensors and Actuators

Course specification
Course title Sensors and Actuators
Acronym 26E063SP
Study programme Electrical Engineering and Computing
Module Electronics and Digital Systems, Physical Electronics - Biomedical and Nuclear Engineering, Physical Electronics - Nanoelectronics and Photonics
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 Teaching the 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. Familiarizing the students with different aspects and challanges 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 applications. Students are capable of solving different problems regarding sensor integration into more complex measurement and control systems.
    Contents
    Contents of lectures Information processing in measurement and control systems. The sensor effect tetrahedron: an extended transducer space. Sensors in the EM radiation, magnetic, electrical, thermal, mechanical, and chemical energy domains. 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. Lectures from course website
    2. D.Stankovic: Physical and Technical Measurements; Belgrade University, Belgrade 1997,
    3. M.Popovic: Sensors and Measurements; High Electrical Engineering School; Belgrade 2000.
    4. web site: http://www.sensorsweb.com/
    5. S. C. Mukhopadhyay, G. S. Gupta, Smart Sensors and Sensing Technology, Springer-Verlag, 2008
    Number of hours per week during the semester/trimester/year
    Lectures Exercises OTC Study and Research Other classes
    3 1 1
    Methods of teaching 45 hours of lectures and 20 hours of laboratory exercises + 10 hours of demonstration seminars and computer training. Colloquium.
    Knowledge score (maximum points 100)
    Pre obligations Points Final exam Points
    Activites during lectures 0 Test paper 40
    Practical lessons 20 Oral examination 0
    Projects
    Colloquia 40
    Seminars 0