Course detail
Applied hydrology
FAST-DS64Acad. year: 2009/2010
Problems of uncertainty in hydrology, learning and adaptive systems, methods of artificial intelligence, artificial neural networks and their applications, fuzzy models and their applications, fuzzy regulators, qualitative and semi-qualitative models, genetic algorithms and their application
Language of instruction
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.-4. Artificial neural networks and their applications
5.-6. Fuzzy sets, fuzzy models
9.-10. Fuzzy regulators and their applications
11. Neural-fuzzy regulators and their application
12. Qualitative and semi-qualitative models
13. Genetic algorithms and their application
Work placements
Aims
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