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

Gurantor departmentDepartment of PhysicsCredits2
Subject guarantorMgr. Ing. Kamila Hrabovská, Ph.D.Subject version guarantorMgr. Ing. Kamila Hrabovská, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Year1Semesterwinter
Study languageCzech
Year of introduction2017/2018Year of cancellation
Intended for the facultiesUSP, FEI, FSIntended for study typesBachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
HRA01 Mgr. Ing. Kamila Hrabovská, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Graded credit 1+1

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

Way of continuous check of knowledge in the course of semester

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)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Graded credit Graded credit 100  51
Mandatory attendence parzicipation: Compulsory attendance at seminars.

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.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