Computer and Numerical Methods in Metrology

Објавено: July 11, 2023
1. Course Title Computer and Numerical Methods in Metrology
2. Code 4ФЕИТ03003
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 Marija Cundeva-Blajer
9. Course Prerequisites
10. Course Goals (acquired competencies):

Systematic understanding and improvement of methods of research connected to modeling and numerical calculation in metrology, – Understanding, design, application and adaptation of advanced models in metrology, – Critical analysis, evaluation and synthesis of new complex models of measurement devices and systems.

11. Course Syllabus:

Introduction in computer and numerical methods in metrology. Methods for analysis of measurement devices and their metrological characteristics. Modeling, identification and analysis of systems in metrology. Numerical methods in metrology. Method for analysis of non-linear phenomena in metrological devices and systems (method of finite differences, method of boundary elements, method of finite elements, hybrid methods). Static and dynamic analysis of metrological characteristics of measurement devices. Application of deterministic and stochastic optimization methods for metrological improvement and optimization of measurement systems and devices.

12. Learning methods:

lectures, projects, case studies

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) 30 points
17.3. Activity and participation 10 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 60% success of all exam activites
20. Forms of assessment Completed project work and oral presentation of the project
21. Language Macedonian
22. Method of monitoring of teaching quality Self-evaluation
23. Literature
23.1.       Required Literature
No. Author Title Publisher Year
1. F. Pavese, A. B. Forbes Data Modeling for Metrology and Testing in Measurement Science (Modeling and Simulation in Science, Engineering and Technology), Birkhauser Boston, Springer Science+Business Media, LLC 2009
2. F. Pavese, M. Bаer, J-R Filtz, A. B. Forbes, L. Pendrill, K. Shirono Advanced Mathematical and Computational Tools in Metrology and Testing: AMCTM (Series on Advances in Mathematics for Applied Sciences) World Scientific Publishing Co. Pte. Ltd. 2012
3. A. Morris Measurement and Instrumentation Principles Butterworth-Heinemann Linacre House, Oxford 2001
23.2.       Additional Literature
No. Author Title Publisher Year
1.  J.Beyon  LabVIEW Programming, Data Acquisition and Analysis  Prentice Hall  2001