Statistical packages for social sciences
Course: Economic analysis and statistics
Structural unit: Faculty of Economics
            Title
        
        
            Statistical packages for social sciences
        
    
            Code
        
        
            1.35
        
    
            Module type 
        
        
            Обов’язкова дисципліна для ОП
        
    
            Educational cycle
        
        
            First
        
    
            Year of study when the component is delivered
        
        
            2021/2022
        
    
            Semester/trimester when the component is delivered
        
        
            7 Semester
        
    
            Number of ECTS credits allocated
        
        
            3
        
    
            Learning outcomes
        
        
            PLO 5. Explain the models of socio-economic phenomena, guided by the fundamental principles and knowledge of the main directions of development of economic science.
PLO 13. Be able to work both independently and in a team.
PLO  17. Understand and independently form the content, structure and conclusions of scientific and analytical texts on economics.
PLO 20. Use information and communication technologies to solve socio-economic problems, prepare and submit analytical reports.
        
    
            Form of study
        
        
            Prerequisites and co-requisites
        
        
            1) Know: disciplines "Economics: micro and macroeconomics", "Introduction to University Studies", "Higher Mathematics", "Probability Theory and Mathematical Statistics", "Fundamentals of Programming", "Statistics", "Statistics", "Electronic Statistical Documentation", " Econometrics "," Statistical analysis of time series "," Statistical analysis of relationships "," Theory and practice of sample surveys "," Demographic statistics ".
2) Possess: skills of analysis, synthesis, processing and visualization of statistical data, work with the regulatory framework.
        
    
            Course content
        
        
            Getting acquainted with the statistical package for social sciences, mastering the basic techniques of statistical analysis using SPSS software, developing the ability to visualize and interpret the results of social research to identify trends and patterns of development and decision-making.
        
    
            Recommended or required reading and other learning resources/tools
        
        
            Planned learning activities and teaching methods
        
        
            The purpose of the discipline is to expand and deepen theoretical knowledge and acquire professional competencies in sociological analysis of various spheres of public life and effective management decisions through the use of statistical packages for the social sciences.
        
    
            Assessment methods and criteria
        
        
            Forms of student assessment: (max. 100 points / min. 60 points)
1. Participation in laboratory work - 20 points / 6 points;
2. 2 control modular works - 10 points / 6 points;
3. Independent work - 50 points / 30 points;
4. Final test - 20 points / 12 points.
        
    
            Language of instruction
        
        
            Ukrainian
        
    Lecturers
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