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Lecturer(s)
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Fišer Jiří, Mgr. Ph.D.
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Posel Zbyšek, doc. RNDr. Ph.D.
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Course content
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1. Simulations (principles, classification), processing of results (statistics, visualization) 2. Discrete event simulation (using in queuing, network flows , depandability) 3. Components of discrete event simulations (events, simulation time, shared resources), random number generation 4. System models of DES (queues, Markov chains, Discrete Event System Specification) 5. Software for discrete event simulations 6. Platform specific simulation components 7. Program model of DES 8. Dynamic simulations, continuous versus discrete simulations 9. Software for dynamic simulations 10. Model of dynamic process (implementation) 11. Dynamic simulations of physical model 12. Solution of complex dynamic systems 13. Exploitation of DES for design and control of dynamic system simulation
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Learning activities and teaching methods
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unspecified
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Learning outcomes
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Theory: principles of simulations and their formal models (introduction) Practice: application of existing simulation frameworks for discrete event simulation (SimPy) and block diagram environments for dynamic simulations (Simulink, Stateflow).
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Prerequisites
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unspecified
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Assessment methods and criteria
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unspecified
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Recommended literature
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Dušek F. Matlab a Simulink ? úvod do používání,. Univerzita Pardubice. ISBN 80-7194-475-0.
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Karban, P. Výpočty a simulace v programech Matlab a Simulink. Brno, 2006. ISBN 80-251-1301-.
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Křivý, I., Kindler, E. Simulace a modelování.. Ostravská univerzita, 2001.
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Müller, K; Vignaux, T.; Lünsdorf, O.; Scherfke, S. Documentation for SimPy. 2013.
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