Course detail

Advanced Methods of Analyses and Simulation

ÚSI-RSPMOAcad. year: 2018/2019

Obsahem předmětu "Pokročilé metody analýz a modelování" je seznámení se s některými nestandardními pokročilými metodami analýz a technikami modelování za účelem podpory rozhodování v podnikatelství zaměřenou na problematiku rizikového inženýrství formou vysvětlení si principu těchto teorií, naučit se pracovat s těmito teoriemi a jejich aplikací.

Learning outcomes of the course unit

The obtained knowledge and skills of the subject will enable the graduates fine and modern access in the processes of analyses and simulation (in the national economy and private sector, organizations, firms, companies, banks, etc.) in order to support decision making in business focussed on problems of risk management.




Not applicable.

Recommended optional programme components

Not applicable.

Recommended or required reading

DOSTÁL, P. Pokročilé metody rozhodování v podnikatelství a veřejné správě. Brno: CERM Akademické nakladatelství, 2012. 718 p. ISBN 978-80-7204-798-7, e-ISBN 978-80-7204-799-4.
DOSTÁL, P. Advanced Decision Making in Business and Public Services. Brno: CERM Akademické nakladatelství, 2013. 168 p. ISBN: 978-80-7204-747-5
DOSTÁL, P., SOJKA, Z. Financial Risk management, Zlín 2008, 80s., ISBN 978-80-7318-772-9.
DOSTÁL, P. The Use of Optimization Methods in Business and Public Services. In Zelinka, I., Snášel, V., Abraham, A. Handbook of Optimization, USA: Springer, 2012. ISBN 978-3-642-30503-0.
BROZ, Z., DOSTÁL, P. Multilingual dictionary of artificial intelligence. Brno: CERM Akademické nakladatelství, 2012. 142 p. ISBN 978-80-7204-800-7, e-ISBN 978-80-7204-801-4.
SMEJKAL,V., RAIS, K. Řízení rizik ve firmách a jiných organizacích, Grada, Publishing.,a.s. Grada, Praha, 2006.
ALTROCK,C. Fuzzy Logic &Neurofuzzy, Book & Cd Edition, 1996, 375 s., ISBN 0-13-591512-0
GATELY, E. Neural Network for Financial Forecasting, John Wiley & Sons Inc., 1996, 169 s., ISBN 0-471-11212-7
DAVIS,L. Handbook of Genetic Algorithms, Int. Thomson Com. Press, 1991, 385 s., ISBN 1-850-32825-0
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.
Matlab The MathWorks Inc., US, 2017

Planned learning activities and teaching methods

Teaching is carried out through lectures and seminars. Lectures consist of interpretations of basic principles, methodology of given discipline, problems and their exemplary solutions. Seminars particularly support practical mastery of subject matter presented in lectures or assigned for individual study with the active participation of students.

Assesment methods and criteria linked to learning outcomes

Not applicable.

Language of instruction


Work placements

Not applicable.

Course curriculum

1. Introduction and definition of subject "Advanced methods of analyses and simulation
2. Identification of basic terms in area of analyses
3. Identification of basic terms and fuzzy logic rules, build-up of models
4. Presentation of case studies of the use of fuzzy logic in risk management
5. Identification of basic terms in the area of artificial neural networks
6. Presentation of case studies of the use of artificial neural networks in risk management
7. Identification of basic terms in the area of genetic algorithms
8. Presentation of case studies of the use of genetic algorithms in risk management
9. Methods of simulation of prediction by means of fuzzy logic, neural networks and genetic algorithms
10. Introduction to theory of chaos and possible usage in risk management
11. The usage of software means for solving problems
12. Introduction to problems of simulation
13. Presentation of applications of the usage of simulation in risk management


The aim of the course is to make students familiar with the methods of analyses and simulation techniques (fuzzy logic, artificial neural networks, and genetic algorithms) by the way of explanation of the principles of these theories and their resulting applications in decision making in business focussed to problems of risk management.

Specification of controlled education, way of implementation and compensation for absences

Attendance form: 80% face-to face, 20% distance learning.
Attendance in seminars will be checked, a student has to fulfil at least 75% attendance in seminars.
Absence in seminars could be recompense with a special assignment or with a special exam test.

Classification of course in study plans

  • Programme IT-MGR-2 Master's

    branch MMI , any year of study, summer semester, 4 credits, compulsory-optional

  • Programme RRTES_P Master's

    specialization RRTS , 1. year of study, summer semester, 4 credits, compulsory
    specialization RRES , 1. year of study, summer semester, 4 credits, compulsory

Type of course unit



26 hours, optionally

Teacher / Lecturer


26 hours, compulsory

Teacher / Lecturer