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Course detail
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
Study aids
Prerequisites and corequisites
Basic literature
Recommended reading
Elearning
Classification of course in study plans
specialization RRTS , 1 year of study, summer semester, compulsory, fundamental theoretical courses of the profile corespecialization RRES , 1 year of study, summer semester, compulsory, fundamental theoretical courses of the profile core
Lecture
Teacher / Lecturer
Syllabus
1. Introduction2. Fuzzy logic - terory3. Fuzzy logic + application – Excel4. Fuzzy logic – application Matlab5. Artificial neural network - teory6. Artificial neural network + applications Matlab7. Genetic algorithms - theory8. Genetic algorithms + aplikace Matlab9. Theory of chaos10. Datamining11. Time series, prediction, capital markets12. Production control, risk management13. Decision making
Exercise
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