Modern methods of selective research
Course: Systems and methods of decision making
Structural unit: Faculty of Computer Science and Cybernetics
Title
Modern methods of selective research
Code
ДВС.3.04.01
Module type
Вибіркова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
3 Semester
Number of ECTS credits allocated
3
Learning outcomes
The student must know: modern methods of statistical analysis in the case of sample data of random variables from sets that are not linear spaces; basics of statistical analysis of non-numerical data.
Form of study
Full-time form
Prerequisites and co-requisites
The student must know the basics of probability theory and mathematical statistics. The student must know the methods of decision theory.
Course content
Non-numeric statistic datas. Statistical methods in spaces of arbitrary nature. Interval data statistics.
Recommended or required reading and other learning resources/tools
1. Orlov A.N. Non-numerical statistics. - MH Press, 2004. - 513 p.
2. Harin Y.S., Zhuk E.E. Mathematical and applied statistics. - Мн. BSU, 2005. - 279 p.
3. Bidyuk P.I. Applied statistics. - Institute of Applied Systems Analysis "KPI", 2014. - 336 p.
4. Spiegelhalter D. The art of statistics. - Force Publishing House, 2021. - 448 p.
5. Bruce P., Bruce А. Practical statistics for specialists. - St. Petersburg, 2018. – 304 p.
Planned learning activities and teaching methods
Seminars, independent study.
Assessment methods and criteria
Рass/fail examinations.
Language of instruction
ukrainian
Lecturers
This discipline is taught by the following teachers
Oleksandr
G.
Nakonechnyi
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