Mastering theoretical and practical basics of system modeling and simulation.

Acquired knowledge can be used in solving specific engineering problems, and also present a basis for further understanding of professional courses

Basics of modeling and simulation (goals, elements, theory, classifications, processes, etc.). Mathematical models (time continuous and discrete models, linear and non-linear models, linearization, etc.). Modelling physical systems (mechanical, thermal, hydro, electrical and electro-mechanical systems, analogies between physical quantities and parameters). Simulations of systems described by mathematical models (analytical results, numerical algorithms and calculations, simulation languages and simulation software, etc.). Event based simulations. System identification and parameters estimation. Basics of modelling based on machine learning (artificial neural networks).

Lectures; Numerical and calculation practice. Computer practice. Consultations. The examination is written and oral. The written part consists of at least four tasks, in order to pass the examination a students must successfully complete at least 50% of each task. The course material can be divided into two colloquia. The oral part of the examination is based on a list of examination questions. The colloquia, tests and written examination are written. The written part is eliminating. The final grade is formed on the basis of written examination (or colloquia), tests, written and oral parts of the examination.