Course: Measurement Science and Technology

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Course title Measurement Science and Technology
Course code AUEM/ADMET
Organizational form of instruction Lecture
Level of course Doctoral
Year of study not specified
Semester Winter
Number of ECTS credits 10
Language of instruction Czech
Status of course Optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Křesálek Vojtěch, doc. RNDr. CSc.
  • Navrátil Milan, doc. Ing. Ph.D.
Course content
- Signification and classification of technical means. Technical, electrical, process and security. - Equipment of temperature measurement . - Equipment of other technological parameters: pressure, flow, level, compound of liquids and gas mixes, weight, length, position, thermal and electrical energy. - Equipment of informatics. - Equipment of biometric system.

Learning activities and teaching methods
Methods for working with texts (Textbook, book), Individual work of students
prerequisite
Knowledge
Pass of Mgr. subjects: ? Technical means of Informatics and Automation ? Theory of Automation ? Measuring systems ? Informatics systems ? Sensors of informatics and automation systems.
Pass of Mgr. subjects: ? Technical means of Informatics and Automation ? Theory of Automation ? Measuring systems ? Informatics systems ? Sensors of informatics and automation systems.
learning outcomes
Student is geting Ph.D.´s knowledge about technique to system realization, is informed in theoretical base of means, learns the all field of the range, can interpret and use it in praxis.
Student is geting Ph.D.´s knowledge about technique to system realization, is informed in theoretical base of means, learns the all field of the range, can interpret and use it in praxis.
Skills
1. The student will analyze the measurement needs in his work. 2. The student independently designs a measurement experiment for measuring electrical signals in particular. 3. The student obtains experimental data, evaluates them, interprets the results correctly. 4. The student applies the theory of measurement uncertainties to his experimental work in the laboratory. 5. The student analyzes the measuring chain and finds its weak points, suggests improvements.
1. The student will analyze the measurement needs in his work. 2. The student independently designs a measurement experiment for measuring electrical signals in particular. 3. The student obtains experimental data, evaluates them, interprets the results correctly. 4. The student applies the theory of measurement uncertainties to his experimental work in the laboratory. 5. The student analyzes the measuring chain and finds its weak points, suggests improvements.
teaching methods
Knowledge
Individual work of students
Individual work of students
Methods for working with texts (Textbook, book)
Methods for working with texts (Textbook, book)
assessment methods
Analysis of a presentation given by the student
Analysis of a presentation given by the student
Background research
Background research
Composite examination (Written part + oral part)
Composite examination (Written part + oral part)
Recommended literature
  • COOMBS CLYDE F. Electronic Instrument Handbook. McGraw-Hill, 1995.
  • DRIGGERS RONALD G., FRIEDMAN MELVIN H., NICHOLS JONATHAN. Introduction to Infrared and Electro-Optical Systems. Artech House, 2012.
  • DUNN WILLIAM C. Introduction to Instrumentation, Sensors, and Process Control. Artech House Publishers, 2005.
  • KAPLAN ELLIOTT D., HEGARTY CHRISTOPHER J. Uderstanding GPS - Principles and Applications. Artech House, 2006.
  • PAUL CLAYTON R. Introduction to Electromagnetic Compatibility. John Wiley & Sons, 2006.
  • RASTOGI PRAMOD. Digital Optical Measurement Techniques and Applications. Artech House, 2015.
  • SQUIRES G. L. Practical Physics. Cambridge, 2001.
  • TITTERTON DAVID H. Military Laser Technology and Systems. Artech House, 2015.
  • VASEGHI S.V. Advanced Digital Signal Processing and Noise. Wiley, 2006.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Applied Informatics Study plan (Version): Engineering Informatics (16) Category: Special and interdisciplinary fields - Recommended year of study:-, Recommended semester: Winter
Faculty: Faculty of Applied Informatics Study plan (Version): Engineering Informatics (16) Category: Special and interdisciplinary fields - Recommended year of study:-, Recommended semester: Winter
Faculty: Faculty of Applied Informatics Study plan (Version): Engineering Informatics (0) Category: Special and interdisciplinary fields - Recommended year of study:-, Recommended semester: Winter
Faculty: Faculty of Applied Informatics Study plan (Version): Automatic Control and Informatics (0) Category: Special and interdisciplinary fields - Recommended year of study:-, Recommended semester: Winter