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Lecturer(s)
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Šembera Jan, doc. Ing. Ph.D.
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Course content
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Obsah přednášek a cvičení - anglicky (ideálně okopírovat z popisu předmětu pro akreditaci) Lectures: 1. Introduction - basic term, examples 2. Classification of problems and approaches to modelling. 3. Analysis of model sensitivity to parameters 4. Methods of optimization problem solution 5. Two modelling guidelines: Start simple, add complexity carefully; Use a broad range of information 6. Two modelling guidelines: Be well-posed & be comprehensive; Include many kinds of observation data for 'best fit' 7. Two modelling guidelines: Use prior information carefully; Assign weights that reflect errors 8. Two modelling guidelines: Encourage convergence by making the model more accurate; Consider alternative models 9. Model testing: Model fit and optimal parameter value evaluation 10. Resume
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Learning activities and teaching methods
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Monological explanation (lecture, presentation,briefing)
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Learning outcomes
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The students will get a broad overview of a construction and usage of numerical models for simulation of real technical practise and of problems of natural sciences. During the course the theoretical and practical knowledge related to tuning the numerical model to a particular application are summarise. The attention is paid to mastering of standard and non-standard methods of numerical model calibration, sensitivity analysis, and techniques of elimination of low accuracy and numerical errors.
Students will acquire the theoretical knowledge and practical experience with processing and using of input data for construction of simulation models of natural and technological processes and verification of the model results.
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Prerequisites
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Unspecified
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Assessment methods and criteria
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Oral exam
Requirements for getting a credit are activity at the practicals /seminars and successful passing the tests. Examination is in the oral form.
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Recommended literature
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Hill M.C., Tiedeman C.R. Effective Groundwater Model Calibration: With Analysis of Data, Sensitivities, Predictions, and Uncertainty. John Wiley & Sons Hoboken, New Jersey, 2007. ISBN 978-0471776369.
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