SylabUZ
Course name | Smart measurement transducers |
Course ID | 06.5-WE-ELEKTP-SMT-Er |
Faculty | Faculty of Computer Science, Electrical Engineering and Automatics |
Field of study | Electrical Engineering |
Education profile | academic |
Level of studies | First-cycle Erasmus programme |
Beginning semester | winter term 2017/2018 |
Semester | 5 |
ECTS credits to win | 5 |
Course type | optional |
Teaching language | english |
Author of syllabus |
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The class form | Hours per semester (full-time) | Hours per week (full-time) | Hours per semester (part-time) | Hours per week (part-time) | Form of assignment |
Lecture | 30 | 2 | - | - | Exam |
Laboratory | 30 | 2 | - | - | Credit with grade |
Fundamentals of metrology, Metrology, Fundamentals of electronics and power electronics, Computer-aided design.
General characteristics of intelligent measurement transducers. Definition and classification of intelligent measurement transducers. Structure, basic function blocks and operation algorithms. Basic properties of intelligent measurement transducers.
Metrological properties of selected transducer function blocks. Metrological properties of: input circuits of electrical transducers, selected sensors and conditioners, function operators (averaging circuits, analog filters, multipliers, RMS converters, analogue switches and multiplexers, sample and hold (S/H) analog circuits and others).
Methods of error correction. Factors affecting the value of measurement errors. Methods of zero error, sensitivity and nonlinearity correction. Methods of adaptation of the measuring transducers to the parameters of the processed signals. Classical (programmatic) and neural realization of the reproduction process. Selected examples of intelligent measurement transducers.
Outcome description | Outcome symbols | Methods of verification | The class form |
Lecture - passing condition is obtaining positive grade from the exam
Laboratory – the main condition to get a pass are sufficient marks for all exercises and tests conducted during the semester.
Calculation of the final grade: lecture 50% + laboratory 50%
Modified by dr hab. inż. Radosław Kłosiński, prof. UZ (last modification: 02-05-2017 20:13)