Preparation and Evaluation of Experiments

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Course Unit Code480-8303/01
Number of ECTS Credits Allocated2 ECTS credits
Type of Course Unit *Compulsory
Level of Course Unit *First Cycle
Year of Study *First Year
Semester when the Course Unit is deliveredWinter Semester
Mode of DeliveryFace-to-face
Language of InstructionCzech, English
Prerequisites and Co-Requisites There are no prerequisites or co-requisites for this course unit
Name of Lecturer(s)Personal IDName
HRA01Mgr. Ing. Kamila Hrabovská, Ph.D.
Summary
1. Theory of Measuring Quantities: Reproducibility of measurement results as the basis of the scientific method. Measurement as a benchmarking process. Measurement units - a system of SI units. Calibration and certification
2. Measurement uncertainty: Result of measurement, reality and measurement error. Uncertainty of measurement result. Statistical standard uncertainty (type A). Systematic standard uncertainty (type B). Combined standard uncertainty. Extended uncertainty increases the reliability of the measurement result. The Covarian Law and the Gauss Law to spread uncertainty in indirect measurement. Band of uncertainties of functional dependence. Rounding and numerical formulation of the measurement result. Gross error and reliability of measurement results.
3. Direct Measurement of Measurements: Length Measurement. Angle measurement. Volume measurement. Measuring time. Weight measurement. Temperature measurement. Pressure measurement. Electrical voltage measurement.
4. Experiment scheme: Experiment design. General formats of physical dependence graphs. Realization of the experiment. Recording direct measurement results - Data table format. Evaluation and analysis of experimental results. Publication of experiment results (sample laboratory protocol). Sample of the laboratory protocol.
Learning Outcomes of the Course Unit
To identify, name and reproduce the general problems of measurement. To explain important rules of the measurement process, the theory of uncertainty, errors and data processing. To demonstrate the ability to apply the acquired knowledge in the above mentioned areas in practice. To demonstrate the ability to analyze the substantiality of the problem. To demonstrate the ability to summarize the key parameters of the problem. To summarize the technical possibilities of solving the problem and identify the boundaries of applicability of different methods of measurement.
Course Contents
1. Theory of measurement of physical quantities: the reproducibility of the measurement results as the basis of the scientific method. Measurement as a process of comparison. Measuring units - SI system of units. Calibration and certification
2. Measurement uncertainty: the result of the measurement, the measurement error and the real value. The uncertainty of the measurement outcome. Statistical standard uncertainty (type A). Systematic standard uncertainty (type B). The combined standard uncertainty. Expanded uncertainty increases the reliability of measurement results. Covariance law and Gauss' law of propagation of uncertainty in indirect measurements. Functional dependencies – the band of confidence . Rules for rounding off and numerical formulation of the measurement result. Reliability and validity of measurement results.
3. Direct measurement parameters: a measurement of length, angle, volume, time, weight, temperature , pressure, electric voltage.
4. Scheme of the experiment: experimental design. General formats of graphs of physical dependencies. Realization of the experiment. The record of direct measurements - data table format. Evaluation and analysis of experimental results. Publication of the results of an experiment (necessary components of a laboratory report). Sample laboratory report.
Recommended or Required Reading
Required Reading:
TAYLOR, J., R.: An Introduction to Error Analysis: The Study of Uncertainties
in Physical Measurements University Science Books; 2nd edition 1996.
DVORSKÝ, Richard a Jaroslav FOUKAL. Fyzikální měření. Ostrava: Vysoká škola báňská - Technická univerzita Ostrava,
2007. ISBN 978-80-248-1312-7.
KOPEČNÝ, Jan, Vilém MÁDR, Jaromír PIŠTORA, Alois FOJTEK a Jaroslav FOUKAL. Fyzikální měření. 2. vyd. Ostrava: VŠB
- Technická univerzita Ostrava, 2007. ISBN 978-80-248-1653-1.
Normy ČSN ISO
TAYLOR, J., R.: An Introduction to Error Analysis: The Study of Uncertainties
in Physical Measurements University Science Books; 2nd edition 1996.



Recommended Reading:
Fornasini Paolo. The Uncertainty in Physical Measurements: An Introduction to Data Analysis in the Physics Laboratory,
Springer; 2008. ISBN 978-0387786490
MÁDR, Vilém. Fyzikální měření. Praha: SNTL - Nakladatelství technické literatury, 1991. ISBN 80-03-00266-4.
BROŽ, Jaromír. Základy fyzikálních měření. I. Praha: Státní pedagogické nakladatelství, 1983.
Fornasini Paolo. The Uncertainty in Physical Measurements: An Introduction to Data Analysis in the Physics Laboratory,
Springer; 2008. ISBN 978-0387786490
Planned learning activities and teaching methods
Lectures, Tutorials, Experimental work in labs
Assesment methods and criteria
Task TitleTask TypeMaximum Number of Points
(Act. for Subtasks)
Minimum Number of Points for Task Passing
Graded creditGraded credit100 51