# 480-8303/01 – Preparation and Evaluation of Experiments (PVE)

 Gurantor department Department of Physics Credits 2 Subject guarantor Mgr. Ing. Kamila Hrabovská, Ph.D. Subject version guarantor Mgr. Ing. Kamila Hrabovská, Ph.D. Study level undergraduate or graduate Requirement Compulsory Year 1 Semester winter Study language Czech Year of introduction 2017/2018 Year of cancellation 2020/2021 Intended for the faculties FS, USP, FEI Intended for study types Bachelor
Instruction secured by
HRA01 Mgr. Ing. Kamila Hrabovská, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent

### Subject aims expressed by acquired skills and competences

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.

### Teaching methods

Lectures
Tutorials
Experimental work in labs

### 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.

### Compulsory literature:

TAYLOR, J., R.: An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements University Science Books; 2nd edition 1996.

### Recommended literature:

Fornasini Paolo. The Uncertainty in Physical Measurements: An Introduction to Data Analysis in the Physics Laboratory, Springer; 2008. ISBN 978-0387786490

Test

### E-learning

no e-learning available

### Other requirements

Systematic individual work is necessary.

### Prerequisities

Subject has no prerequisities.

### Co-requisities

Subject has no co-requisities.

### Subject syllabus:

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.

### Conditions for subject completion

Full-time form (validity from: 2017/2018 Winter semester, validity until: 2020/2021 Summer semester)
Min. number of pointsMax. počet pokusů
Mandatory attendence participation: Compulsory attendance at seminars.

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Conditions for subject completion and attendance at the exercises within ISP:

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### Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2019/2020 (B3968) Applied Sciences and Technologies P Czech Ostrava 1 Compulsory study plan
2018/2019 (B3968) Applied Sciences and Technologies (3901R076) Applied Sciences and Technologies P Czech Ostrava 1 Compulsory study plan

### Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

### Assessment of instruction

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