Infopaket

Systems and methods of decision making

124

Master of system аnalysis

2 years

120

7

Second (Master)

Information technologies

KnowledgeField EN

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Bachelor's degree.

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LO1. Specialized conceptual knowledge, which includes modern scientific achievements in the field of systems analysis and information technology and is the basis for original thinking and research. LO2. Build and research models of complex systems and processes using methods of systems analysis, mathematical, computer and information modeling. LO3. Apply methods to reveal uncertainties in the problems of systems analysis, to reveal situational uncertainties and uncertainties in the problems of interaction, counteraction and conflict of strategies, to find a compromise in revealing conceptual uncertainty. LO4. Develop and apply methods, algorithms and tools for forecasting the development of complex systems and processes of different nature. LO5. Use risk assessment measures and apply them in the analysis of multifactorial risks in complex systems. LO6. Apply machine learning and data mining techniques, mathematical apparatus of fuzzy logic, game theory, and distributed artificial intelligence to solve complex systems analysis problems. LO7. To develop intelligent systems in the conditions of poorly structured data of different nature. LO8. Identify and evaluate the parameters of mathematical models of control objects. LO9. Develop and apply models, methods and algorithms for decision-making in conflict, fuzzy information, uncertainty and risk. LO10. It is clear and unambiguous to convey one's own knowledge, conclusions and arguments to specialists and non-specialists, in particular to students. LO11. Freely present and discuss orally and in writing the results of research and innovation, other issues of professional activity in the state and English languages. LO12. Apply the methodology of scenario analysis in the problems of scientific and technical prediction. LO13. Develop and teach disciplines in higher education institutions.

Full-time form

Written exams, laboratory reports, oral presentations, current control, tests, differentiated tests, comprehensive exam, defense of master's thesis. Certification is carried out openly and publicly. The comprehensive exam is to demonstrate theoretical knowledge and practical skills in solving the proposed tasks; the achievement of learning outcomes is checked: РН1-РН15. Qualification work should involve solving a complex problem of research and / or innovation in the field of systems analysis, should not contain academic plagiarism.

Students are required to take assistantship and internships. The student can pass industrial practice both on the basis of graduating departments, and in the state, private establishments, establishments, at the enterprises of the corresponding profile taking into account tasks of practice and possibility of their realization (the practice contract is made out). At the end of the internship, the student reports, receiving a grade.

Student-centered learning. Lectures, seminars, laboratory work, performance of course, qualification works, independent work on the basis of educational and methodical materials, consultations with teachers. There are specialized computer classes and unlimited open access to the Internet for information retrieval and processing of results. Use of the electronic library of the faculty (http://csc.knu.ua/uk/library) and author's developments of scientific and pedagogical staff of the faculty. Specialists from the Institute of Cybernetics of the National Academy of Sciences of Ukraine are involved.

Graduates can work in scientific, educational, analytical, IT and other institutions and departments in positions that require the use of systems analysis.

All programs of the Doctor of Philosophy in the field of knowledge "Information Technology".