Course: Planning and Evaluation of Experiments

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Course title Planning and Evaluation of Experiments
Course code KRP/INPVE
Organizational form of instruction Lecture + Lesson
Level of course Master
Year of study not specified
Semester Winter
Number of ECTS credits 3
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Javůrek Milan, doc. Ing. CSc.
Course content
1. Errors in experimental measuring, the ways of elimination. Basic statistical distributions. Models of measuring. 2. The ways of outliers and extremal values, selection of values in dependency of numbers of measuring. 3. Selected groups, definition of position ang variancy. The ways of evaluation in dependency with errors distribution. Confidence intervals. 4. Verification of data premision, tests of identities. 5. Analysis of variance. 6. Principles of regression methods, conditions of using, problems solving. 7. Multiple linear regression, models searching. Correlation, covariancy. 8. Planned experiments - randomized blocks, latin ang greeklatin squares. 9. Planned experiments - nonshorted factorial experiments, shorted, combination. 10. Factorial experiments in regression analysis. 11. Optimality criterions (D-, A-, E - optimality), ways of evaluation. 12. Optimal experiment design, methods of evaluation of optimal experiment. 13. Actually methods of data mining.

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Methods of individual activities
Learning outcomes
To inform the students about most useful methods of optimal planning, realization and evaluation of experiments.
Singleness plannig of experiment realization and optimal method of exploitation.
Prerequisites
The knowledge of matematik and statistik from Bc. study.

Assessment methods and criteria
Oral examination, Student performance assessment

Participation in lectures and laboratories over 90%.
Recommended literature
  • KOROPECKÁ, H. Plánování a vyhodnocování experimentů. Pardubice: skriptum VŠCHT, 1978. 156 s..
  • Meloun M., Militký J. Kompendium statistického zpracování dat. Praha, 2006.
  • Meloun, Milan. Statistical data analysis : a practical guide : complete with 1250 exercises and answer key on CD. New Delhi: Woodhead Publishing India, 2011. ISBN 978-0-85709-109-3.
  • PÁZMAN, a. a kol. Riešené situácie z navrhovania experimentov. Bratislava:ALFA, 1986.
  • PÁZMAN, A. Základy optimalizácie experimentu. Bratislava : VEDA, 1980. 184 s..


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Electrical Engineering and Informatics Study plan (Version): Process Control (2014) Category: Special and interdisciplinary fields - Recommended year of study:-, Recommended semester: Winter
Faculty: Faculty of Electrical Engineering and Informatics Study plan (Version): Process Control (2016) Category: Special and interdisciplinary fields - Recommended year of study:-, Recommended semester: Winter
Faculty: Faculty of Electrical Engineering and Informatics Study plan (Version): Process Control (2013) Category: Special and interdisciplinary fields - Recommended year of study:-, Recommended semester: Winter
Faculty: Faculty of Electrical Engineering and Informatics Study plan (Version): Process Control (2015) Category: Special and interdisciplinary fields - Recommended year of study:-, Recommended semester: Winter