Fundamentals of metrology - course description

General information

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 2019/2020

Course information

Semester	3
ECTS credits to win	6
Course type	obligatory
Teaching language	english
Author of syllabus	prof. dr hab. inż. Ryszard Rybski

Classes forms

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	-	-	Credit with grade
Laboratory	30	2	-	-	Credit with grade
Class	15	1	-	-	Credit with grade

Aim of the course

to familiarize students with the basic issues of measurements theory and the system of measurements and standards
to familiarize students with methods and instruments for measuring selected electrical quantities and to make students aware of the limitations of their use
shaping skills in measurement results development and evaluation of measurement errors and uncertainties
acquainting with the metrological properties of measurment instruments
shaping skills in design of measurement instruments components

Prerequisites

Mathematical analysis I, Mathematical basics of technique

Scope

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.

Teaching methods

Lecture: conventional lecture

Laboratory: laboratory exercises

Exercises: computational exercises

Learning outcomes and methods of theirs verification

Outcome description	Outcome symbols	Methods of verification	The class form

Assignment conditions

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%

Notes

Modified by dr hab. inż. Radosław Kłosiński, prof. UZ (last modification: 27-10-2019 18:37)

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