| 1. | Course Title | Uncertainty in Measurement and Calibration | |||||||||||
| 2. | Code | 4ФЕИТ03006 | |||||||||||
| 3. | Study program | 15-MMK | |||||||||||
| 4. | Organizer of the study program (unit, institute, department) | Faculty of Electrical Engineering and Information Technologies | |||||||||||
| 5. | Degree (first, second, third cycle) | Second cycle | |||||||||||
| 6. | Academic year/semester | I/1 | 7. | Number of ECTS credits | 6.00 | ||||||||
| 8. | Lecturer | Dr Vladimir Dimchev | |||||||||||
| 9. | Course Prerequisites | ||||||||||||
| 10. | Course Goals (acquired competencies):
The students get acquainted with the BIMP Guide to the expression in uncertainty in measurements, Supplement 1 to the Guide, and EA-4/02 Expression of the uncertainty of measurement in calibration, they learn how to calculate measurement uncertainty in the process of calibration different instruments and standards. |
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| 11. | Course Syllabus:
Theory of measurement uncertainty according Guide to the expression in uncertainty in measurements (GUM, 2008, ISO – Geneva), and Expression of the uncertainty of measurement in calibration (EA-4/02 M, 2013). Explanation of used definitions and terms. Definition of type A and type B measurement uncertainties. Gauss probability, geometrical probabilities, sensitivity coefficients, uncertainty budget. Examples for calculation of measurement uncertainty for AVO-meters, electricity meters, other instruments. Explanation how to understand technical specifications for errors given by the manufacturers of measuring equipment. Evaluation of measurement data using a Monte Carlo method. Get acquainted with standards and calibration equipment. |
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| 12. | Learning methods:
Combined way of learning, lectures, preparation of seminar and project tasks, home study. |
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| 13. | Total number of course hours | 180 | |||||||||||
| 14. | Distribution of course hours | 3 + 3 | |||||||||||
| 15. | Forms of teaching | 15.1 | Lectures-theoretical teaching | 45 hours | |||||||||
| 15.2 | Exercises (laboratory, practice classes), seminars, teamwork | 45 hours | |||||||||||
| 16. | Other course activities | 16.1 | Projects, seminar papers | 30 hours | |||||||||
| 16.2 | Individual tasks | 30 hours | |||||||||||
| 16.3 | Homework and self-learning | 30 hours | |||||||||||
| 17. | Grading | ||||||||||||
| 17.1 | Exams | 10 points | |||||||||||
| 17.2 | Seminar work/project (presentation: written and oral) | 40 points | |||||||||||
| 17.3. | Activity and participation | 0 points | |||||||||||
| 17.4. | Final exam | 50 points | |||||||||||
| 18. | Grading criteria (points) | up to 50 points | 5 (five) (F) | ||||||||||
| from 51 to 60 points | 6 (six) (E) | ||||||||||||
| from 61 to 70 points | 7 (seven) (D) | ||||||||||||
| from 71 to 80 points | 8 (eight) (C) | ||||||||||||
| from 81 to 90 points | 9 (nine) (B) | ||||||||||||
| from 91 to 100 points | 10 (ten) (A) | ||||||||||||
| 19. | Conditions for acquiring teacher’s signature and for taking final exam | No conditions | |||||||||||
| 20. | Forms of assessment | Seminar paper, oral exam. | |||||||||||
| 21. | Language | Macedonian and English | |||||||||||
| 22. | Method of monitoring of teaching quality | Self-evaluation. | |||||||||||
| 23. | Literature | ||||||||||||
| 23.1. | Required Literature | ||||||||||||
| No. | Author | Title | Publisher | Year | |||||||||
| 1. | BIMP – JCGM 100:2008 | Evaluation of measurement data – Guide to the Expression of Uncertainty in Measurement | JCGM – Joint Committee for Guides in Metrology | 8 | |||||||||
| 2. | European cooperation for Accreditation | EA-4/02 M – Evaluation of the Uncertainty of Measurement in Calibration | European Accreditation | 13 | |||||||||
| 3. | C. F. Dietrich | Uncertainty, Calibration and Probability | Adam Hilger, 2 edition | 1991 | |||||||||
| 23.2. | Additional Literature | ||||||||||||
| No. | Author | Title | Publisher | Year | |||||||||
| 1. | Selected papers from Trans. on Instrumentation and Measurements | The IEEE | |||||||||||
