Modeling and Forecasting of Social Processes
Course: Sociology
Structural unit: Faculty of Sociology
Title
Modeling and Forecasting of Social Processes
Code
ВБ1.9
Module type
Вибіркова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2024/2025
Semester/trimester when the component is delivered
4 Semester
Number of ECTS credits allocated
3
Learning outcomes
1.1 Know modern models used in sociology and their classification.
1.2 Know the models of aggregation and segregation.
1.3 Know the models of group decision making.
1.4 Know the models of game theory.
1.5 Know information dissemination models and demographic models.
2.1 Be able to use game theory models for strategic decision making
2.2 Be able to justify and interpret the results of group decisions.
2.3 Be able to interpret mathematical models at the level of description and result.
Form of study
Full-time form
Prerequisites and co-requisites
1. Know the basic methods of collecting analysis of sociological information, elements of graph theory and matrix algebra.
2. Be able to work with a computer, find scientific information on the Internet, be able to interpret data.
3. Have basic skills in working with data sets and data visualization methods.
Course content
I. Non-numerical models.
1. Models and their classification.
2. Models of segregation and aggregation.
3. Cellular automata and the game "Life".
4. Models of group decision making.
II. Numerical models.
5. Game theory.
6. Models of population dynamics and distribution.
Recommended or required reading and other learning resources/tools
1. Gabaix, X. Zipf’s Laws for Cities: An Explanation, The Quarterly Journal of Economics, Vol. 114, no. 3 (Aug., 1999), pp. 739-767
2. Schelling T. Dynamic models of segregation.-Journal of Mathematical Sociology.-1971, vol.1, pp 143-186
Planned learning activities and teaching methods
Lecture, seminar, video lesson, distance course, individual work in Moodle
Assessment methods and criteria
1. Presentation 1 on one of the models of topics 1-4, LR 1.1, LR 1.2, LR 1.3 - 30 points / 18 points.
2. Final test 1 with topics 1-4, LR 1.1, LR 1.2, LR 1.3, LR 2.2, LR 2.3 - 10 points / 7 points
3. Presentation 2 on one of the models of topics 5-6 - LR 1.4, - 30 points / 18 points.
4. Final test 2 on topics 5-6, LR 1.4, LR 1.5, LR 2.1, LR 2.2 and LR 2.3– 10 points / 7 points.
5. Additions - LR 1.1, LR 1.2, LR 1.3, LR 1.4 16 points / 8 points.
6. Essay LR 1.1, 4 points / 2 points.
final assessment - credit
Language of instruction
ukrainian
Lecturers
This discipline is taught by the following teachers
Departments
The following departments are involved in teaching the above discipline