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Lecturer(s)
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Bartoněk Luděk, doc. Ing. Ph.D.
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Course content
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1.Basic concepts (identification, simulation). Typical diagram of simulator work. 2.Experiment (planning, individuality, variability, verification, experimental error).3.System (input, output, position, position quantity, backward structure, dynamic chaotic behavior system, Lorenz attractor).4.Mathematical model (derivation, integration, delay, means generation and analysis of mathematical model).5. Modeling of system on computer (abstract, simulation model).6.Fundamental principles of analog simulation (analog display, fundamental linear operational element and troops, solution simplest differential equations). 7.Digital computer (numerical integration, Euler method, accuracy of numerical solution). 8.Basic concepts from system theory (element, characteristic, classification, continuity, discreetness). 9.Modeling stochastic effect (method generation of the chance quantities, characteristics), generator of chance numbers and their test, Monte Carlo method, Buffon method and her practical application.10. Basic concepts and techniques at modeling and malingering of numerical systems (diagnostics of logical circuits, simulation disturbances).11.Matlab Simulink, COMSOL Multiphysics, multiphysics applications, Finite Element Method. 12. Example of the computerized model of neuron nets ( back-propagation type) .
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Learning activities and teaching methods
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Lecture
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Learning outcomes
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Base principles modeling and simulation of the discreet and continuous systems; use package COMSOL Multiphysics.
Evaluation Evaluate the particular methods and principles, explain the aspects and results concerning the given issue, integrate the knowledge, predict the solutions, evaluate the results and outcomes.
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Prerequisites
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unspecified
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Assessment methods and criteria
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Mark
Knowledge within the scope of the course topics (examination)
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Recommended literature
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Antoch, J., Vorlíčková, D. (1992). Vybrané metody statistické analýzy dat. Academia Praha.
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Bartoněk, Luděk. (2011). MODELOVÁNÍ A SIMULACE (analogové počítače) pro obor Aplikovaná fyzika.
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Burian, Z., Krejčiřík, A. (2001). Simuluj. BEN Praha.
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Cingel, V. (1992). Modelovanie a simulácie na PC. Grada Praha 1.
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Gould H., Tobochnik J. (1990). Computer Simulation Metod Applications to Physical Systems (Kompjuternoje modelovanie v fyzike). Moskva, Mir.
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Martinez, W., Martinez, A. (2002). Computational Statistics Handbook with MATLAB. Chapman & Hall/CRC, NewYork.
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Militký J., Meloun M.. (1994). Statistické zpracování experimentálních dat. Praha.
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Pazourek, J. (1992). Simulace biologických systémů. Grada a.s. Praha 1.
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RÁBOVÁ, Z., ČEŠKA, M. (1982). Modelování a simulace. VUT Brno.
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Stoyan, D., Stoyan, H. (1994). Fractals, Random Shapes and Point Fields (Methods of Geometrical Statistics),. J. Wiley New York.
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