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Course info
KKY / PFV
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Course description
Department/Unit / Abbreviation
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KKY
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PFV
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Academic Year
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2023/2024
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Academic Year
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2023/2024
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Title
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Transducers of Physical Quantities
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Form of course completion
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Exam
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Form of course completion
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Exam
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Accredited / Credits
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Yes,
6
Cred.
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Type of completion
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Oral
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Type of completion
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Oral
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Time requirements
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Lecture
3
[Hours/Week]
Tutorial
2
[Hours/Week]
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Course credit prior to examination
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Yes
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Course credit prior to examination
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Yes
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Automatic acceptance of credit before examination
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Yes in the case of a previous evaluation 4 nebo nic.
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Included in study average
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YES
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Language of instruction
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Czech
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Occ/max
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Automatic acceptance of credit before examination
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Yes in the case of a previous evaluation 4 nebo nic.
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Summer semester
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0 / -
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0 / -
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0 / -
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Included in study average
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YES
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Winter semester
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16 / -
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0 / -
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1 / -
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Repeated registration
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NO
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Repeated registration
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NO
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Timetable
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Yes
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Semester taught
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Winter semester
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Semester taught
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Winter semester
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Minimum (B + C) students
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10
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Optional course |
Yes
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Optional course
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Yes
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Language of instruction
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Czech
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Internship duration
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0
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No. of hours of on-premise lessons |
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Evaluation scale |
1|2|3|4 |
Periodicity |
každý rok
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Evaluation scale for credit before examination |
S|N |
Periodicita upřesnění |
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Fundamental theoretical course |
No
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Fundamental course |
Yes
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Fundamental theoretical course |
No
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Evaluation scale |
1|2|3|4 |
Evaluation scale for credit before examination |
S|N |
Substituted course
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None
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Preclusive courses
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KKY/AP
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Prerequisite courses
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N/A
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Informally recommended courses
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KKY/TPŘRS
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Courses depending on this Course
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KKY/AKSZ, KKY/SZKUI, KME/METR
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Histogram of students' grades over the years:
Graphic PNG
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XLS
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Course objectives:
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The aim of the course is learn the students with fundamental principles, characteristics and models of sensors and actuating devices for automatization, monitoring and diagnostics needs.
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Requirements on student
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Credit prior to examination: Technical reports of aboratory tasks processed during semester and knowledge test in a written form
Examination: Commensurate knowledge of subject matter (lecture, practice)
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Content
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Sensors and actuators for industrial automation, diagnostics and robotics, their physical principles, models, properties and applications.
- Overview, structure and parameters of sensors
- Static models and sensor errors, methods for reducing static errors
- Dynamic models and sensor errors, methods for reducing dynamic errors
- Temperature and heat sensors, magnetic field and electric current sensors
- Position, distance and speed sensors (resistive, inductive, capacitive, ultrasonic, optical and laser)
- Force, pressure, weight, acceleration and vibration sensors (strain gauge, piezoelectric, capacitive, MEMS)
- Flow, concentration and chemical composition sensors
- Electrical actuators and their power drivers
- Hydraulic and pneumatic actuators
- El. circuits for signal conversion and processing from detection elements, frequency filters, A / D and D / A converters
- Intelligent sensors and sensor networks, data processing and archiving.
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Activities
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Fields of study
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Studentům je k dispozici kurz v prostředí Google Classroom se všemi podstatnými informacemi a materiály.
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Guarantors and lecturers
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Literature
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Recommended:
Sensors and actuators in mechatronics: design and applications
(Pawlak, Andrzel M.)
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Recommended:
Sensors and Measurement Systems
(Lang, Walter)
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Recommended:
Ďaďo, Stanislav; Kreidl, Marcel. Senzory a měřící obvody. Praha : Vydavatelství ČVUT, 1999. ISBN 80-01-02057-6.
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Recommended:
Ripka, Pavel. Senzory a převodníky. Praha: Vydavatelství ČVUT, 2005. ISBN 80-01-03123-3.
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Recommended:
Martinek, Radislav. Senzory v průmyslové praxi. Praha: Vydavatelství BEN, 2004. ISBN 80-7300-114-4.
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Recommended:
Smart Sensor Systems
(Meijer, Gerard)
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On-line library catalogues
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Time requirements
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All forms of study
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Activities
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Time requirements for activity [h]
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Preparation for laboratory testing; outcome analysis (1-8)
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9
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Contact hours
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39
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Practical training (number of hours)
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26
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Preparation for an examination (30-60)
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58
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Presentation preparation (report) (1-10)
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24
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Total
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156
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Prerequisites
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Knowledge - students are expected to possess the following knowledge before the course commences to finish it successfully: |
základní fyzikální veličiny a principy mechaniky a elektrotechniky (teplo, síla, pohyb, impedance, el.proud, napětí, náboj, indukce) |
základní metody matematické analýzy (úprava výrazů, řešení soustavy rovnic, aproximace funkcí) |
základní principy kybernetiky (model dynamického systému, přenos, charakteristiky, regulační smyčka) |
programovací metody a prostředky (algoritmizace problému, analýza dat) |
Skills - students are expected to possess the following skills before the course commences to finish it successfully: |
analyzovat objekty na základě jejich fyzikální podstaty |
aplikovat matematické metody výpočtu při řešení problémů |
získávat, analyzovat a vizualizovat data pomocí prostředků Matlab a Rex |
Competences - students are expected to possess the following competences before the course commences to finish it successfully: |
N/A |
N/A |
N/A |
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Learning outcomes
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Knowledge - knowledge resulting from the course: |
principy, modely a provedení senzorů pro měření nebo detekci teploty, polohy, pohybu, síly, průtoku a chem. složení látek, a jejich použití v automatickém řízení, monitorování a diagnostice strojů a procesů |
principy, modely, provedení a použití elektrických, pneumatických a hydraulických akčních členů pro pohon a výkonové řízení strojů a procesů |
principy, struktura, provedení a použití A/D a D/A převodníků a elektrických obvodů pro měření a zpracování signálů |
principy, struktura, provedení a použití budičů akčních členů |
Skills - skills resulting from the course: |
změřit nebo ověřit vlastnosti, charakteristiky a parametry senzorů a akčních členů |
navrhnout nebo specifikovat a použít modul pro zpracování signálu ze senzoru nebo budič pro akční člen |
realizovat algoritmus pro převod informačních a měřených jednotek |
Competences - competences resulting from the course: |
N/A |
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Assessment methods
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Knowledge - knowledge achieved by taking this course are verified by the following means: |
Combined exam |
Test |
Skills - skills achieved by taking this course are verified by the following means: |
Skills demonstration during practicum |
Competences - competence achieved by taking this course are verified by the following means: |
Individual presentation at a seminar |
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Teaching methods
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Knowledge - the following training methods are used to achieve the required knowledge: |
Lecture |
Task-based study method |
Skills - the following training methods are used to achieve the required skills: |
Laboratory work |
Skills demonstration |
Competences - the following training methods are used to achieve the required competences: |
Students' portfolio |
Collaborative instruction |
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