Course detail
Operation research in water management
FAST-DP65Acad. year: 2022/2023
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
Guarantor
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
2. Specific problems of linear programming
3 - 6. Non-linear programming
7. Dynamic programming
8 - 9. Multicriteria optimisation, solving techniques
10-11. Project management
12. Neural networks, genetic algorithms
13. Risk analysis and risk assesment
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 D-K-E-CE (N) Doctoral
branch VHS , 1 year of study, summer semester, compulsory-optional
- Programme D-K-C-SI (N) Doctoral
branch VHS , 1 year of study, summer semester, compulsory-optional
- Programme D-P-E-CE (N) Doctoral
branch VHS , 1 year of study, summer semester, compulsory-optional
- Programme D-P-C-SI (N) Doctoral
branch VHS , 1 year of study, summer semester, compulsory-optional
Type of course unit
Lecture
Teacher / Lecturer
Syllabus