Decision making theory
Course: System Analysis
Structural unit: Faculty of Computer Science and Cybernetics
Title
Decision making theory
Code
Module type
Обов’язкова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
5 Semester
Number of ECTS credits allocated
3
Learning outcomes
Know the basic tasks of decision-making (multicriteria optimization, in conditions of uncertainty, in conditions of conflict (game), in terms of fuzzy information).
Know the basic definitions, formulas, concepts and provisions, approaches to decision-making in conditions of certainty, uncertainty, conflict and vague information.
Be able to apply methods of finding: Pareto optimal alternatives in multicriteria optimization problems, solutions of decision-making problems in conditions of uncertainty, cautious strategies and balances in games, solutions of decision-making problems in conditions of fuzzy information.
Be able to use models of decision-making in conditions of certainty, uncertainty, conflict and vague information to solve practical problems.
Form of study
Full-time form
Prerequisites and co-requisites
Know the basic concepts of mathematical analysis, algebra and geometry, discrete mathematics, probability theory, operations research.
Be able to solve typical problems from these courses.
Have basic skills: solve operations research problems.
To access the discipline "Decision Theory" of the educational-professional program "Systems Analysis", the student must master the competencies and learning outcomes provided by the disciplines "Discrete Mathematics", "Operations Research". The discipline "Decision Theory" is the basis for mastering the disciplines "Game Theory" and "Conflict-Based Systems".
Course content
Compulsory discipline "Decision Theory" is part of the educational and professional training program for the first (Bachelor's) level of higher education in the field of knowledge 12 "Information Technology" in the specialty 124 - "Systems Analysis", educational and professional program - "Systems Analysis".
It is taught in the 5th semester of the 3rd year in the amount of 90 hours. (3 ECTS credits), in particular: lectures - 28 hours, laboratory - 14 hours, independent work - 48 hours. The course includes 2 parts and 2 tests. The discipline ends with a test in the 5th semester.
Recommended or required reading and other learning resources/tools
1. Voloshin OF, Mashchenko SO Models and methods of decision making: textbook. way. for students. higher textbook lock - 2nd ed., Reworked. and add. - Kyiv: Ukrainian Orthodox Church "Kyiv University", 2010.
2. Mashchenko SO Collection of problems in the theory of decision making: textbook. way. - Kyiv: Lyudmila Publishing House, 2018. - 192 p.
3. Makarov IM, Vinogradskaya TM, etc. Theory of choice and decision making: Textbook. -Moscow: Science. 1982
4. Fishburne P. Theory of utility for decision making. - Moscow: Nauka, 1978.
5. Podinovsky VV, Nogin VD Pareto - optimal solutions of multicriteria problems. - Moscow: Nauka, 1982.-254 p.
6. Mushik E., Mueller P. Methods of technical decision making. -Moscow: Mir, 1990.
7. Moulin E. Game theory with examples from mathematical economics. - Moscow: Mir, 1985.
8. Moulin E. Cooperative decision making: Axioms and models. -Moscow: Mir, 1991
Planned learning activities and teaching methods
Lecture, laboratory work, independent work
Assessment methods and criteria
Test work, exam
Language of instruction
Ukrainian
Lecturers
This discipline is taught by the following teachers
Serhii
O.
Mashchenko
System analysis and decision making theory
Faculty of Computer Science and Cybernetics
Faculty of Computer Science and Cybernetics
Departments
The following departments are involved in teaching the above discipline
System analysis and decision making theory
Faculty of Computer Science and Cybernetics