Course detail
Operation research in water management
FAST-DPB026Acad. year: 2021/2022
Linear programming, non linear programming, graph theory, critical path methods, multicriteria optimisation methods, ANN - Artificial Neural Networks, Genetic algoritm, risk analysis and risk assesment
Language of instruction
Number of ECTS credits
Mode of study
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Department
Learning outcomes of the course unit
Prerequisites
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Course curriculum
5. - 8. Multi-criteria optimization tasks, methods of solution.
9. - 12. Use of artificial neural networks, genetic algorithms, available software for their use.13. Risk analysis
Work placements
Aims
Case studies with implementation of different optimisation methods.
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
Basic literature
Recommended reading
Classification of course in study plans
- Programme DPA-V Doctoral 1 year of study, summer semester, compulsory-optional
- Programme DPC-V Doctoral 1 year of study, summer semester, compulsory-optional
- Programme DKA-V Doctoral 1 year of study, summer semester, compulsory-optional
- Programme DKC-V Doctoral 1 year of study, summer semester, compulsory-optional
Type of course unit
Lecture
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Syllabus