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Code Completion Credits Range Language
142XIVH Z 1 1P+1C Czech
Garant předmětu:
Michal Toman
Martin Horský, Michal Toman
Martin Horský, Michal Toman
Department of Hydraulic Structures

The use of knowledge technologies to simulate strategic decision making in water management is a key task. Sources of knowledge for decision-making processes may differ in the depth of knowledge they provide. The most valuable knowledge is usually the heuristic knowledge of dispatchers who have gained deep operational experience with the behavior of the entire catchment area and water management facilities. However, this knowledge and the results of various researches are still practically decentralized. For these reasons, it is desirable to develop applications that both eliminate decentralization, but also help to make knowledge available to the requisite specialist in the required time.


Basic computer literacy is required to complete the subject and basic knowledge of information systems is also recommended.

Syllabus of lectures:

History of Artificial Intelligence. Major fields of artificial intelligence. Types of expert systems. Basic architecture of expert systems. The basic architecture of knowledge systems. Knowledge engineering. Creation of an expert system. Getting knowledge from human experts. Project team for creating an expert or knowledge system. Development environments for creating expert systems. Use of so-called knowledge cartography in water management. Application of expert and knowledge systems in water management.

Syllabus of tutorials:

Seminars on geographic information systems and their use in water management. Gradual crawl through GIS. Explanation of the basic structure of GIS. A detailed view of GIS. Processing a simple task in GIS and elaboration of a seminar work on the chosen topic. Credit.

Study Objective:

Students will be acquainted with the basics of knowledge management, with modern information and knowledge technologies that can be appropriately used to support management in the field of water management. They will explain the basic concepts and principles of artificial intelligence, knowledge and expert systems and principles of working with knowledge, especially the possibilities of their acquisition from different sources and representation using different representational schemes. They will acquire basic principles and methods of knowledge and ontological engineering. They will be acquainted with some types of applications of these methods, especially in water management practice. Practicing different principles of strategic decision-making and gaining insight into modern web technologies and ways of communicating mobile users.

Study materials:

[1] Toman, M., Toman, J., Mikulecký, P., Olševičová, K., Ponce, D .: Intelligent Dispatching Decision Systems in Water Management. Czech Technique - Publisher ČVUT, 2009, 254 s., ISBN 978-80-01-04452-0.

[2] Toman, M., Mikulecký, P., Olševičová, K., Ponce, D .: Knowledge Technologies in Water Management. Vydavatelství ČVUT, 2004, 205 pp., ISBN 80-01-03049-0.

[3] Kelemen, J., Kubík, A., Lenharčík, I., Mikulecký, P .: Creation of expert systems in CLIPS. GRADA Publ., Prague, 1999, ISBN 80-7169-501-7.

A list of other recommended literature is always given at the beginning of each lecture.

Time-table for winter semester 2023/2024:
Time-table is not available yet
Time-table for summer semester 2023/2024:
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The course is a part of the following study plans:
Data valid to 2024-04-17
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