Uncertainty and grouping of information
Course: Systems and methods of decision making
Structural unit: Faculty of Computer Science and Cybernetics
Title
Uncertainty and grouping of information
Code
ОК.19
Module type
Обов’язкова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
2 Semester
Number of ECTS credits allocated
4
Learning outcomes
Know and understand the principles and methods of analysis and evaluation of tasks that contribute to the further development of effective use of information resources of decision-making systems.
Form of study
Full-time form
Prerequisites and co-requisites
Know: data representation structures, their classification and clustering based on the use of mathematical methods and information systems and decision support systems. Be able to: formalize data presentation in conditions of uncertainty, apply in practice software tools for software design and development.
Course content
Fuzzy sets as a means of formalizing uncertainty. Review and application of methods of classification and clustering of informal data. Grouping on graphs. Clustering of computing resources in the creation and organization of information systems. Application of containerization and cloud technologies.
Recommended or required reading and other learning resources/tools
1. Orlovskiy S.A. Problemy prinyatiya resheniya pri nechetkoy iskhodnoy informatsii / S.A.Orlovskiy – M.: Nauka, 1981. – 206 p. 2. Kofman A. Vvedeniye v teoriyu nechetkikh mnozhestv / A.Kofman. — M.: Radio i svyaz', 1982. — 432 p. 3. Osovskiy S. Neyronnyye seti dlya obrabotki informatsii /S. Osovskiy. – M.: Finansy i statistika, 2002.– 344 p. 4. Ívokhín Ê.V. Odin metod klasterizatsíí̈ skladenikh nechítkikh mnozhin / Ê.V.Ívokhín, K.O.Kosins'kiy// Zhurnal obchislyuval'noí̈ ta prikl.matematiki. – 2007. – №2. – P.54-58. 5. Vyatchenin D.A. Nechetkiye metody avtomaticheskoy klassifikatsii/ D.A. Vyatchenin. - Minsk: Tekhnoprint, 2004. – 219 p. 6. Zaychenko YU.P. Nechetkiye modeli i metody v intellektual'nykh sistemakh /YU.P. Zaychenko. – Kiyev: Slovo, 2008. – 344 p. 7. Jamba M. Hierarchical cluster analysis and compliance / M. Jamba. - Moscow: Finance and Statistics, 1988. – 345 p.
Planned learning activities and teaching methods
Lecture, independent work.
Assessment methods and criteria
Test work, test.
Language of instruction
ukrainian
Lecturers
This discipline is taught by the following teachers
Eugen
V.
Ivokhin
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