Subjects

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Expert Systems in Meteorology - NMET506

Title:	Expertní systémy v meteorologii
Guaranteed by:	Department of Atmospheric Physics (32-KFA)
Faculty:	Faculty of Mathematics and Physics
Actual:	from 2022
Semester:	winter
E-Credits:	3
Hours per week, examination:	winter s.:2/0, Ex [HT]
Capacity:	unlimited
Min. number of students:	unlimited
4EU+:	no
Virtual mobility / capacity:	no
State of the course:	not taught
Language:	Czech, English
Teaching methods:	full-time
Teaching methods:	full-time

Guarantor:	doc. RNDr. Daniela Řezáčová, CSc.
Class:	DS, meteorologie a klimatologie
Classification:	Physics > Meteorology and Climatology

Opinion survey results Examination dates Schedule Noticeboard

Annotation -

Last update: REZACOVA/MFF.CUNI.CZ (29.04.2008)

Basic properties of expert systems are summarized and the applicability of expert systems in meteorology is discussed. Costruction and application of problem oriented meteorological expert systems is presented on a few examples that deal with the forecast of convective events, air pollution, icing on communications e.t.c.

Aim of the course -

Last update: REZACOVA/MFF.CUNI.CZ (29.04.2008)

The course aims at acquainting the students with knowledge-based expert systems, their basic philosophy, structure and their applications in meteorology and atmospheric physics.

Course completion requirements - Czech

Last update: doc. Mgr. Jiří Mikšovský, Ph.D. (19.10.2017)

Ústní zkouška v rozsahu témat daných sylabem.

Literature -

Last update: REZACOVA/MFF.CUNI.CZ (29.04.2008)

Recommended literature involves basic articles about knowledge based ES and topical papers in meteorological journal about ES applications.

Teaching methods -

Last update: REZACOVA/MFF.CUNI.CZ (29.04.2008)

The teaching of individual doctoral students has a form of providing special literature (books and/or papers) and current consulting the knowledge obtained.

Requirements to the exam - Czech

Last update: doc. Mgr. Jiří Mikšovský, Ph.D. (19.10.2017)

Ústní zkouška v rozsahu témat daných sylabem.

Syllabus -

Last update: T_KMOP (09.05.2004)

1. Basic properties and structure of knowledge-based expert systems

2. Advantages and disadvatages of the use of expert systems in meteorology

3. Examples of meteorological expert systems on the basis of results published in meteorological periodicals