Czech

4

Not applicable.

The knowledge in the area of math (linear algebra, arrays, analyses of functions, operations with matrixes) statistics (analysis of time series, regression analyses, the use of statistical methods in economy), operational analysis (linear programming), financial analyses and planning (the analyses of profits and costs, cash flow, value and bankruptcy model).

The credit will be granted in case of an active participation in trainings and handing in the final assignment, in case of need the written test. The work will range approximately from 8 to 12 pages concentrating on individual problem from practice leading to solution with the help of theory of fuzzy logic, artificial neural network or genetic algorithms.
The classified credit will be classified according ECTS. The way of implementation is in the form of test with in the range 0-20 points. A-20-19;B18-17;C16-15;D14-13;E12-;F10-0.

The participation in lectures is not checked. The participation in trainings is compulsory and is systematically checked. The students are supposed to excuse for their absence. The teacher judges the reason of excuse. The way of substitution of a missed training will be set by the teacher individually.

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.
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.

Not applicable.

Not applicable.

DOSTÁL, P. Pokročilé metody analýz a modelování v podnikatelství a veřejné správě. CERM. CERM. Brno: CERM Akademické nakladatelství, 2008. 340 p. ISBN: 978-80-7204-605-8. (CS)
DOSTÁL, P.: Advanced Decision making in Business and Public Services, Akademické nakladatelství CERM, 2011 Brno,ISBN 978-80-7204-747-5. (EN)
DOSTÁL, P, RAIS, K., SOJKA, Z.: Pokročilé metody manažerského rozhodování, Praha Grada, 2005., ISBN 80-247-1338-1. (CS)
THE MATHWORKS. MATLAB – User’s Guide, The MathWorks, Inc., 2011. (EN)

FANTA, J.: Technologie umělé inteligence na kapitálových trzích, UK Praha, 1999, 92 s., ISBN 80-7184-8661. (CS)
RAIS, K., SMEJKAL,V.: Řízení rizik, Grada, 2004, 274 s., ISBN 80-247-0198-7. (CS)
HERBST,F.: Analyzing and Forecasting Futures Prices, John Wiley & Sons Inc., 1992, 238 s., ISBN 0-471-53312-2. (EN)
ALTROCK,C.: Fuzzy Logic &Neurofuzzy – Applications in Business & Finance, Book & Cd Edition, 1996, 375 s., ISBN 0-13-591512-0. (EN)
GATELY, E.: Neural Network for Financial Forecasting, John Wiley & Sons Inc., 1996, 169 s., ISBN 0-471-11212-7. (EN)
DAVIS,L.: Handbook of Genetic Algorithms, Int. Thomson Com. Press, 1991, 385 s., ISBN 1-850-32825-0. (EN)
PETERS, E.: Fractal Market Analysis – Applying Chaos Theory, John Wiley & Sons Inc., 1994, 315 s., ISBN 0-471-58524-6. (EN)
REBEIRO,R.R., ZIMMERMANN,H.J.: Soft Computing in Financial Engineering, Spring Verlag Company, 1999, 509 s., ISBN 3-7908-1173-4. (EN)

13 hours, compulsory

1. Fuzzy logic - Excel
2. Fuzzy logic - Assignment I.
3. Fuzzy logic - Assignment II.
4. Fuzzy logic – MATLAB
5. Neural networks, genetic algorithms
6. Credit