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Course: Modelling and Simulation in Physics

Department/Abbreviation: KEF/PGSSM

Year: 2020

Guarantee: 'doc. Ing. Luděk Bartoněk, Ph.D.'

Annotation: Base principles modeling and simulation of the discreet and continuous systems; use package COMSOL Multiphysics.

Course review:
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) .