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FP-IpmrPAcad. year: 2025/2026
The content of the subject 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 managerial practice.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Entry knowledge
Rules for evaluation and completion of the course
The exam is a form of online test. 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 and its successful defense.
Aims
Study aids
Prerequisites and corequisites
Basic literature
Recommended reading
Elearning
Classification of course in study plans
Lecture
Teacher / Lecturer
Syllabus
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
Self-study
Individual preparation for an ending of the course