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Lecturer(s)
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Bartoš Petr, doc. RNDr. Ph.D.
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Zoubek Tomáš, Mgr.
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Course content
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- motivation - areas in which are computed simulations used, present situation - basic categories of problems and appropriate algorithms for their solving - selected numerical methods and their principles - table of available software (commercial and freeware applications), demonstration of work in system - computer modelling of selected physical phenomena by computer (according to the interests of students)
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Laboratory, Individual preparation for exam
- Preparation for classes
- 10 hours per semester
- Class attendance
- 42 hours per semester
- Preparation for exam
- 40 hours per semester
- Preparation for credit
- 20 hours per semester
- Semestral paper
- 45 hours per semester
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Learning outcomes
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The main goal of the subject is acquisition of basic overview in the scope of using IT for behaviour prediction of selected systems. Graduate of the study subject will have basic image about available software (commercial and freeware applications) and about possibility of its use for solving of the given problem. Graduate is familiarised with numerical methods and computational algorithms. Graduate will be successful in solving of the given simple problems.
The student has a basic overview of the use of computer models and simulations in scientific and technical practice.
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Prerequisites
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The student is able to apply the knowledge, received during the study, specified in the part: Content of the syllabus.
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Assessment methods and criteria
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Interview, Test
To get the credits, the student must work out a paper on a given topic and pass the exam (an interview covering the topic of a paper, worked out by a student).
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Recommended literature
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Internetové stránky dodavatelů software, návody k softwarovým balíkům.
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Grepl, R. Modelování mechatronických systémů v Matlab/SimMechanics -- Matlab/SimMechanics. BEN - technická literatura, 2007.
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Harvey Gould:. Introduction to Computer Simulation Methods, 2006, ISBN: 0-8053-7758-1.
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Hrach, R. Počítačová fyzika I. UJEP, 2003. ISBN 80-7044-521-1.
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Pokorný, M. Umělá inteligence v modelování a řízení. BEN - technická literatura, 1996. ISBN 80-901984-4-9.
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