Terminated in academic year 2022/2023

Classification and Expert Systems

Type of study	Doctoral
Language of instruction	Czech
Code	545-0938/01
Abbreviation	KES
Course title	Classification and Expert Systems
Credits	10
Coordinating department	Department of Economics and Control Systems
Course coordinator	prof. Ing. Juraj Spalek, PhD.

Subject syllabus

1. The basic concepts
2. Overview of classification methods
3. Examples implementation of classification methods
4. Filtration input data
5. The basic architecture of expert systems
6. Use of classification methods in expert systems
7. Overview of selected implementation of expert systems used in practice

E-learning

Podpora priebežnej formy štúdia počas semestra využívaním elektronickej formy diseminácie prednášok a pomocných podkladov k jednotlivým témam podľa osnovy predmetu.

Literature

A. Kidd, Knowledge Acquisition for Expert Systems: A Practical Handbook, 2012, e- ;
S.J. Russell and P. Norvig, Artificial Intelligence: A Modern Approach (2nd ed), Prentice-Hall, 2002. (1132 s.) ,

Advised literature

J. Pearl: Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (Paperback). Morgan Kaufmann, 1998 (552 s.) ,

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