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Lecturer(s)
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Karták Štěpán, Ing.
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Veselý Petr, Ing.
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Kavička Antonín, prof. Ing. Ph.D.
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Bažant Michael, doc. Ing. Ph.D.
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Course content
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Introduction to basic notions from the filed of Modelling and Simulation. Simulation models and their classification. Monte Carlo method. Fundamental synchronisation techniques: planning discrete events, interaction of processes, scanning activities. Simulation study - stage of design and simulation model building: determination of object under investigation, demarcation of studied system, conceptual model of demarcated system, collection and analysis of input data, formation/implementation of simulation model, verification, validation. Simulation study - experimental stage: plan of simulation experiments, execution of experiments and analysis of their results, elaboration of final report. Input data analysis - stochastic versus deterministic approach, statistical elaborations, metamodels, generators of pseudo-random numbers. Output data analysis - finite-horizon simulations, steady-state simulations, replications. Case study - simulation model of a queuing system. Synchronization of combined discrete-continuous simulation models. On-line animation approach.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Skills training
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Learning outcomes
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The main goal of the course is to familiarise students with elementary principles related to experimental method of modelling & discrete simulation on digital computers.
Passing the course enables to manage fundamental approaches related to experimental method of discrete simulation and its applications.
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Prerequisites
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unspecified
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Assessment methods and criteria
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Oral examination, Written examination, Home assignment evaluation
Given assignment confirms that a student has attended lessons to the extent required and fulfilled qualified requirements (elaboration of three elementary simulation models focused on training of basic simulation techniques). Form, contents and length of the exam are determined in accordance with Study and Examining Rules of University of Pardubice. The exam consists of two parts, a written test and a theoretical exam. Student passes successfully the written test as well as the theoretical part of the exam if he/she obtains at minimum 50% of possible points in each part.
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Recommended literature
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Banks, J. Handbook of Simulation: Principles, Methodology, Advances, Applications, and Practice. New York, John Wiley & Sons, 1998. ISBN 0-471-13403-9.
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Kavička, Antonín. Agentovo orientovaná simulácia dopravných uzlov. Žilina: EDIS - vydavatel'stvo ŽU, 2005. ISBN 80-8070-477-5.
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Kelton, W. et al. Simulation with Arena. New York, McGraw-Hill, 2004. ISBN 0-07-285694-7.
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