Module 2. Assessment methods in applied research

Course: System Analysis

Structural unit: Faculty of Computer Science and Cybernetics

Title
Module 2. Assessment methods in applied research
Code
Module type
Вибіркова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
8 Semester
Number of ECTS credits allocated
2
Learning outcomes
Know and understand the basic methods of selection in applied research. Be able to calculate or evaluate 40 basic numerical indicators for sample surveys. Demonstrate the ability to self-study and continue professional development. Be able to organize their own activities and get results within a limited time. Demonstrate skills of interaction with other people, ability to work in teams.
Form of study
Full-time form
Prerequisites and co-requisites
Know: basics of discrete mathematics, probability theory and mathematical statistics Be able to: formalize the conditions of problems and make a solution plan Have basic skills: solve typical problems in probability theory, mathematical statistics and discrete mathematics.
Course content
The discipline "Models of assessment in applied research" is an integral part of the cycle of professional training of specialists of educational and qualification level "bachelor"; it includes the study of basic concepts such as sample surveys, sampling, sample design; study of selective methods. Particular attention is paid to the main types of random sampling and their properties; the Horwitz-Thompson estimate, its mean and variance for each of random selections. Taught in the 8th semester, volume 64 hours. (2 ECTS credits), including lectures - 16 hours, practical - 8 hours, independent work - 40 hours. Part 1 and exam are provided.
Recommended or required reading and other learning resources/tools
1. OI Vasilyk, TO Yakovenko, Lectures on the theory and methods of sample surveys: a textbook. - Kyiv: Publishing and Printing Center "Kyiv University", 2010. - 208 p. 2. Ardilly, P. Tille Y. Sampling Methods. Exercises and Solutions, Springer Science + Business Media Inc., 2006. 3. Kish, L. Survey Sampling, Wiley, 1995. 4. Lohr, S. Sampling: design and analysis, New York: Duxbury Press, 1999. 5. Sarndal, C.-E. , B. Swensson, J. Wretman, Model Assisted Survey Sampling, New York: Springer-Verlag, 1992. 6. Chernyak OI Technique of sample surveys. - К .: МІВВЦ, 2001
Planned learning activities and teaching methods
Lecture, individual work
Assessment methods and criteria
Test work, exam.
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Iryna Vasylivna Rozora
Applied Statistics
Faculty of Computer Science and Cybernetics

Departments

The following departments are involved in teaching the above discipline

Applied Statistics
Faculty of Computer Science and Cybernetics