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Vyučující
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Kavička Antonín, prof. Ing. Ph.D.
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Novotný Zdeněk, Ing.
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Obsah předmětu
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Lectures: 1. Elementary terminology related to the field of modelling & simulation 2. Experiments with simulating systems 3. Basic methods synchronizing the course of simulation experiments 4. Stages of simulation projects 5. Demonstration project - the initial period 6. Demonstration project - generators of input flows 7. Demonstration project - implementing simulators 8. Demonstration project - executing simulation experiments 9. Modelling the inputs of simulators 10. Output data analysis 11. Combined simulations - synchronization methods 12. Combined simulations - animation outputs 13. Introduction to Petri nets Seminars: 1. Introduction of the semestral task A, analysis of implementation options. Presentation of the basic principles of the Monte Carlo method. Construction of a pilot simulator within the Arena simulation tool. 2. Development of the concept of semestral task A, independent work of students on the implementation of semestral task A (application of the Monte Carlo method). Introduction of the Arena simulation tool, overview of basic functionalities. 3. Continuous individual checking of the partial iteration of the development of semestral task A. Introduction of other functionalities of the Arena simulation tool. 4. Introduction of semestral task B, analysis of implementation options, individual defence of semestral task A. 5. Developing the concept of semestral task B, students' independent work on the implementation of semestral task B, individual defences of semestral task A. 6. Ongoing individual review of a partial iteration of the development of semestral task B. Students' independent work on the implementation of semestral task B. Introduction of statistical evaluation of simulation experiments. 7. Continuous individual checking of a partial iteration of the development of semestral task B. Students' independent work on the implementation of semestral task B. 8. Continuous individual checking of a partial iteration of the development of semestral task B. Students' independent work on the implementation of semestral task B. 9. Individual defences of semestral task B. Recommendations for corrections of semestral task B. 10. Individual defences of semestral task B. Recommendations for corrections of semestral task B. 11. Individual checking of the implementation of corrections of semestral task B. 12. Individual checking of the implementation of corrections of semestral tasks B. 13. Individual checking of the implementation of corrections of semestral tasks B.
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Studijní aktivity a metody výuky
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Monologická (výklad, přednáška, instruktáž), Coordinated practice
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Výstupy z učení
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The main goal of the course is to familiarize students with the elementary principles related to the experimental method of discrete simulation on digital computers. After completing the course the students will be able to use the basic approaches to the experimental method of discrete simulation and its applications.
After completing the course the students will be able to use the basic approaches to the experimental method of discrete simulation and its applications. The students can implement simulation programmes (typically using a specific simulation tool) and apply the basic techniques of discrete simulation.
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Předpoklady
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The students should have basic knowledge of programming techniques, data structures, mathematical statistics and theory of probability.
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Hodnoticí metody a kritéria
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Ústní zkouška, Posouzení zadané práce
A prerequisite for granting the assignment is the successful processing of two semestral tasks (implementation of selected modelling and simulating systems). The course exam has two parts. In the written part the student answers 4 theoretical questions in the written form, in the oral part the student answers supplementary questions related to the written questions. For successfully passing the exam it is necessary to answer at least 2/3 of all questions well.
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Doporučená literatura
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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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Kelton, W. et al. Simulation with Arena. New York: McGraw-Hill, 2004. ISBN 0-07-285694-7.
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