Czech

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The exam is a written test. The test is classified according to ECTS. The test has a score in the range of 0-20 points. A-20-19; B18-17;C16-15;D14-13;E12-10;F9-0.

To pass the exam, it is necessary to submit a seminar paper in the range of 8-12 pages with an individual focus of the student on practical issues, leading to a solution using the theory of fuzzy logic or artificial neural networks or genetic algorithms and its successful defence.

The aim of the course is to get acquainted with some advanced and non-standard methods of analysis and simulation techniques in economy and finance by the method of explanation of these theories, to become familiar with these theories and their use.

1. Introduction
2. Fuzzy logic - theory
3. Fuzzy logic + application - Excel
4. Fuzzy logic - MATLAB application
5. Artificial neural networks - theory
6. Artificial neural networks + MATLAB applications
7. Genetic algorithms - theory
8. Genetic algorithms + MATLAB applications
9. Chaos theory
10. Datamining
11. Prediction, capital market
12. Production and risk management
13. Decision making
The obtained knowledge and skills of the subject will enable the graduates the top and modern access in the processes of analyses and simulation in the national economy and private sector, organizations, firms, companies, banks, etc., especially in managerial, but also in economical and financial sphere.

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DOSTÁL, P.: Advanced Decision making in Business and Public Services, Akademické nakladatelství CERM, 2011 Brno,ISBN 978-80-7204-747-5.
DOSTÁL, P. Pokročilé metody analýz a modelování v podnikatelství a veřejné správě, CERM, 2008, 430s, ISBN 978-80-7204-605-8.
DOSTÁL, P, RAIS, K., SOJKA, Z.: Pokročilé metody manažerského rozhodování, Praha Grada, 2005., ISBN 80-247-1338-1.
THE MATHWORKS. MATLAB – User’s Guide, The MathWorks, Inc., 2011.

ALTROCK,C. Fuzzy Logic &Neurofuzzy, Book & Cd Edition, 1996, 375 s., ISBN 0-13-591512-0
DAVIS,L. Handbook of Genetic Algorithms, Int. Thomson Com. Press, 1991, 385 s., ISBN 1-850-32825-0
GATELY, E. Neural Network for Financial Forecasting, John Wiley & Sons Inc., 1996, 169 s., ISBN 0-471-11212-7
JANÍČEK, P. Systémové pojetí vybraných oborů pro techniky, CERM, Brno, 2007, 1234 s., ISBN 978-80-7204-554-9.
PETERS, E. Fractal Market Analysis, John Wiley & Sons Inc., 1994, 315 s., SBN 0-471-58524-6
REBEIRO,R.R., ZIMMERMANN,H.J. Soft Computing in Fin. Engineering, Spring Verlag Comp.,1999,509s.,ISBN3-7908-1173-4.