Course title | Modelling in Natural Sciences |
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Course code | FES/DPMV |
Organizational form of instruction | Lecture |
Level of course | Doctoral |
Year of study | not specified |
Semester | Winter and summer |
Number of ECTS credits | 10 |
Language of instruction | Czech |
Status of course | Compulsory-optional |
Form of instruction | Face-to-face |
Work placements | This is not an internship |
Recommended optional programme components | None |
Lecturer(s) |
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Course content |
Complex systems and cybernetic concepts. Soft and Hard systems. Nonlinear control systems, adaptive control systems, optimization options. Multi-criteria decision analysis. Decision making using the "Rule-Based Reasoning", "Case-Based Reasoning" and "Rough Sets Theory."
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Learning activities and teaching methods |
unspecified, Methods of individual activities |
Learning outcomes |
Computer modelling in natural sciences belongs to a discipline that deals with observation and explanation of natural processes by in silico methods. It describes bio-molecular interactions between live organisms and their components. Presented lectures include for example bio-informatics, bio-molecular electrostatics, molecular modelling and docking.
PhD students will be able to use the system approach for problem formulation, decomposition and formalization. They are able to design and analyze models of different classes of complex systems. |
Prerequisites |
unspecified
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Assessment methods and criteria |
Oral examination, Creative work analysis
Students will process a work independently within the scope of a research paper in this course. The topic of the paper is in relation to the specific topic of the dissertation thesis. |
Recommended literature |
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Study plans that include the course |
Faculty | Study plan (Version) | Category of Branch/Specialization | Recommended semester | |
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Faculty: Faculty of Economics and Administration | Study plan (Version): Applied Informatics (2014) | Category: Informatics courses | - | Recommended year of study:-, Recommended semester: - |
Faculty: Faculty of Economics and Administration | Study plan (Version): Applied Informatics (2014) | Category: Informatics courses | - | Recommended year of study:-, Recommended semester: - |