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Lecturer(s)
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Pecka Michal, prof. Ing. CSc.
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Poláček Jiří, doc. Ing. Ph.D.
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Course content
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Fundamentals of optimization problems Method for search space sampling Single-objective and multi-objective optimization Deterministic optimization methods Heuristic optimization methods Sensitivity analysis and uncertainty of mathematical models Shape and topology optimization Fundamentals of inverse problems and ways of their solution Optimization of complex systems
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Learning activities and teaching methods
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Laboratory work, Students' self-study, Lecture
- Team project (50/number of students)
- 26 hours per semester
- Contact hours
- 26 hours per semester
- Practical training (number of hours)
- 26 hours per semester
- Preparation for formative assessments (2-20)
- 10 hours per semester
- Preparation for comprehensive test (10-40)
- 12 hours per semester
- Preparation for an examination (30-60)
- 30 hours per semester
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| prerequisite |
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| Knowledge |
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| Fundamental knowledge of mathematical modeling and simulations Fundamental knowledge of theory of electric circuits and theory of electromagnetic field |
| learning outcomes |
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| Students are able to formulate mathematical problems of optimization for real tasks in electrical engineering Students are able to choose a suitable optimization method and evaluate the results obtained |
| teaching methods |
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| Lecture |
| Laboratory work |
| Self-study of literature |
| assessment methods |
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| Combined exam |
| Test |
| Project |
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Recommended literature
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BARBA, Paolo Di. Multiobjective Shape Design in Electricity and Magnetism. Springer, 2010. ISBN 978-90-481-3079-5.
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MACH, František. Pokročilé metody a algoritmy pro analýzu sdružených úloh v elektromagnetismu. Západočeská univerzita, 2015.
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Míka, Stanislav. Matematická optimalizace. 1 vyd. Plzeň : ZČU, 1997. ISBN 80-7082-319-4.
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