Modeling and Forecasting of Social Processes
Course: Sociаl Technologies
Structural unit: Faculty of Sociology
            Title
        
        
            Modeling and Forecasting of Social Processes
        
    
            Code
        
        
            ОК11
        
    
            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
        
        
            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
        
        
            Distance 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
3. Swedberg R. Sociology and Game Theory - Contemporary and historical perspectives, Theory and Society 30: 301-335, 2001 URL: http://people.soc.cornell.edu/swedberg/2001%20Sociology%20and%20Game%20Theory % 20-% 20Contemporary% 20and% 20Historical% 20Perspectives.pdf
4. Breer W.W. Models of tolerant threshold behavior.- Management problems №1, 2016, p.11-20, URL: pu.mtas.ru/archive/Breer_116.pdf
5. Zakharov AV Theory of games in the social sciences: a textbook for universities.- Moscow: Ed. House of the Higher School of Economics, 2015. - 304 pp. (pp. 11-46, 80-99) URL: https://sociology.knu.ua/uk/library/teoriya-igr-v-obshchestvennyh-naukah-uchebnik-dlya- universities
        
    
            Planned learning activities and teaching methods
        
        
            Lecture, practice session, 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, LR 2.2 – 18 points / 10 points.
2. Test 1 with topics 1-4, LR 1.1, LR 1.2, LR 1.3, LR 2.2 – 8 points / 6 points.
3. Presentation 2 on one of the models of topics 5-6 - LR 1.4, LR1.5, LR 2.2, LR 2.3 – 8 points / 66 points.
4. Test 2  on topics 5-6, LR 1.4, LR 1.5, LR 2.2 and LR 2.3 – 8 points / 6 points.
5. Additions - up to 4 times, all 1 point / 0.5 points – LR 1.1, LR 1.2, LR 1.3, LR 1.4, LR 1.5 – only 4/2 points.
6. Essay LR 1.1 - 4 points / 2 points.
final assessment – exam LR1.1 – LR1.5.
        
    
            Language of instruction
        
        
            ukrainian
        
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