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

Czech

Number of ECTS credits

0

Mode of study

Not applicable.

Guarantor

prof. Ing. Miloš Starý, CSc.

Department

Institute of Landscape Water Management (VHK)

Learning outcomes of the course unit

Not applicable.

Prerequisites

Knowledge of hydrology, runoff control from river basin with the use of reservoirs and water management systems, mathematics (magister study level)

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Requirements for successful completion of the subject are specified by guarantor’s regulation updated for every academic year.

Course curriculum

1. Problems of uncertainty in hydrology, learning and adaptive systems, methods of artificial intelligence
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

Not applicable.

Aims

Overview of possibilities of artificial intelligence use and other non traditional methods from hydrology and water management

Specification of controlled education, way of implementation and compensation for absences

Extent and forms are specified by guarantor’s regulation updated for every academic year.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Not applicable.

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme D-K-C-SI Doctoral

    branch VHS , 2. year of study, winter semester, elective

  • Programme D-P-C-SI Doctoral

    branch VHS , 2. year of study, winter semester, elective

Type of course unit

 

Lecture

39 hours, obligation not entered

Teacher / Lecturer

prof. Ing. Miloš Starý, CSc.