Course detail

Applied hydrology

FAST-DS64Acad. year: 2022/2023

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

Mode of study

Not applicable.

Guarantor

prof. Ing. Miloš Starý, CSc.

Department

Institute of Landscape Water Management (VHK)

Learning outcomes of the course unit

Doktorand gains knowledge for applikation stochastic hydrology and operative hydrology methods in thesis

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

Not applicable.

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

Edited by Quentin Grafton: Water Resorces Planning and Management. Cambridge University Press 2011
Chow Ven Te: Handbook of Applied Hydrology. Published by McGraw Hill Text 1964

Recommended reading

Ram S. Gupta: Hydrology and Hydraulic Systems. Waveland Press 2007

Type of course unit

 

Lecture

39 hours, optionally

Teacher / Lecturer

prof. Ing. Miloš Starý, CSc.

Syllabus

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