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Lecturer(s)
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Culek Bohumil, prof. Ing. CSc.
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Kohout Martin, Ing. Ph.D.
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Course content
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Introduction, objectives and stages of experimental exploration. Variations and errors in measured values, ways to eliminate them. Basic statistical methods. Measurement evaluation. Characteristics of the set of measured values, confidence intervals. Determination of appropriate measurement range and number of experiments, DOE (design of experiments). Evaluation of relationships between monitored quantities (correlation, regression), determination of parameters in regression functions. Theory of similarity and dimensional analysis. Simulation Probability Method (Monte Carlo, LHS - Latin Hypercube Sampling). Experimental finding of extremes. Sensitivity analysis.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing)
- Participation in classes
- 26 hours per semester
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Learning outcomes
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To get acquainted with the main steps and methods of experimental analysis - how to organize experiments and evaluate them.
After completing the course, the student will be able to carry out and evaluate static and dynamic experiments with means of transport.
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Prerequisites
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The knowledge of mathematics from the first two university semesters.
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Assessment methods and criteria
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Written examination
The student should be interested in acquainting with methods for experimental analysis.
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Recommended literature
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Menčík, Jaroslav. Úvod do experimentální analýzy. [Pardubice]: Univerzita Pardubice, 2017. ISBN 978-80-7560-066-0.
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