SylabUZ
Course name | Fundamentals of metrology |
Course ID | 06.2-WE-ELEKTP-FoM-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 2021/2022 |
Semester | 3 |
ECTS credits to win | 6 |
Course type | obligatory |
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 |
Class | 15 | 1 | - | - | Credit with grade |
Mathematical analysis I, Mathematical basics of technique, Fundamentals of electrical engineering
Basic terms in metrology. Measurement scales and units of measure. Selected quantities standards. Measurement methods and their accuracy. Method of direct and indirect comparison. Method of contraposition and replacement. Differential and zero metod. Compensation and tilting method.
Determining inaccuracy of measurement results. Systematic errors, random and excessive. Errors of a measurement method. Basic and additional errors of measurement instruments. Dynamic errors. Calculation of limit errors in direct and indirect measurements. Uncertainty of measurement. Uncertainty of type A, type B and type A and B. Standard and extended uncertainty. Determining uncertainty in direct and indirect measurement.
General information about mathematical modeling of phenomena and objects. Parametric and non-parametric identification. Static and dynamic models. Point and field models. Concepts of inadequacy and inaccuracy. Specifying model parameters by the least squares method. Tabular-graphical representation of a model.
Measurement signals. Classification and mathematical models of selected measurement signals. Characteristics of measurement instruments. Classification of measurement tools. Metrological structure of a measurement instrument. Basic metrological properties of measurement instruments.
Lecture: conventional lecture
Laboratory: laboratory exercises
Exercises: computational exercises
Outcome description | Outcome symbols | Methods of verification | The class form |
Lecture - a condition of passing is to obtain positive grades from written or oral tests conducted at least once in a semester.
Exercises - a condition of the pass is to obtain positive partial grades from examinations in the form proposed by the instructor.
Laboratory - a condition of the pass is to obtain positive grades from all laboratory exercises provided for under the laboratory program.
Components of the final grading = lecture: 34% + laboratory: 33% + exercises: 33%
Modified by dr hab. inż. Paweł Szcześniak, prof. UZ (last modification: 08-07-2021 21:49)