Course detail
Advanced Methods of Analyses and Simulation
ÚSI-RSPMOAcad. year: 2025/2026
The content of the subject “Advanced Methods of Analysis and Simulation” familiarises students with some non-standard advanced analysis methods and modelling techniques developed in order to support corporate decision-making. It focuses on issues present in the field of risk engineering via the explanation of theoretical principles, and involves students in learning to work with such theories, and their applications.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Entry knowledge
Rules for evaluation and completion of the course
Exam: written test Exercises: Submission of seminar paper.
Attendance form: 80% face-to face, 20% distance learning.
Aims
The knowledge and skills obtained from the course will enable students to apply a high-quality and modern approach to analysis and simulation (in the state and private sectors of the economy, organizations, firms, companies, banks, etc.) in order to support corporate decision-making, with a focus on the issues of risk management.
Study aids
Prerequisites and corequisites
Basic literature
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., SOJKA, Z. Financial Risk management, Zlín 2008, 80s., ISBN 978-80-7318-772-9.
Recommended reading
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.
DAVIS,L. Handbook of Genetic Algorithms, Int. Thomson Com. Press, 1991, 385 s., ISBN 1-850-32825-0
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.
GATELY, E. Neural Network for Financial Forecasting, John Wiley & Sons Inc., 1996, 169 s., ISBN 0-471-11212-7
Matlab The MathWorks Inc., US, 2017
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.
SMEJKAL,V., RAIS, K. Řízení rizik ve firmách a jiných organizacích, Grada, Publishing.,a.s. Grada, Praha, 2006.
Elearning
Classification of course in study plans
- Programme NMSP-RRTES Master's
specialization RRTS , 1 year of study, summer semester, compulsory, fundamental theoretical courses of the profile core
specialization RRES , 1 year of study, summer semester, compulsory, fundamental theoretical courses of the profile core
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
1. Introduction
2. Fuzzy logic - terory
3. Fuzzy logic + application – Excel
4. Fuzzy logic – application Matlab
5. Artificial neural network - teory
6. Artificial neural network + applications Matlab
7. Genetic algorithms - theory
8. Genetic algorithms + aplikace Matlab
9. Theory of chaos
10. Datamining
11. Time series, prediction, capital markets
12. Production control, risk management
13. Decision making
Exercise
Teacher / Lecturer
Syllabus
Introductory information, seminar assignment
Fuzzy Logic I – Excel
Fuzzy Logic II – Excel
Individual processing of part of the seminar paper I
Introduction to MATLAB
Fuzzy Logic IV – MATLAB
Fuzzy Logic V – MATLAB
Fuzzy Logic VI – MATLAB
Individual processing of part of the seminar paper II
Neural networks, genetic algorithms
Seminar paper presentation I
Seminar paper presentation II
Credit
Elearning