Statistical Analysis and Modeling of Socio-Economic Systems and Processes

Major: Business Economics
Code of subject: 7.051.05.O.003
Credits: 4.00
Department: Business Economics and Investment
Lecturer: Kichor Volodymyr Petrovych, Ph.D. in Technical Sciences, Associate Professor
Semester: 1 семестр
Mode of study: денна
Мета вивчення дисципліни: Formation of knowledge, abilities and skills necessary for: • setting the problems of statistical research of complex socio-economic systems; • formation of an information base for statistical research of socio-economic systems; • use of modern information technologies for statistical data processing; • construction of statistical models focused on the study of the structure, nature of interrelationships and patterns of functioning of multidimensional socio-economic objects and processes; • evaluation of the parameters of constructed statistical models, testing of models for adequacy, formulation of conclusions based on the results of statistical analysis and modeling.
Завдання: General competences: ZK2. Ability to abstract thinking, analysis and synthesis. ZK8. Ability to conduct research at the appropriate level. Professional competences: FC3. The ability to collect, analyze and process statistical data, scientific and analytical materials, which are necessary for solving complex economic problems, to draw reasonable conclusions based on them. FC4. The ability to use modern information technologies, methods and methods of research of economic and social processes, adequate to the established research needs. FC6. The ability to formulate professional tasks in the field of economics and solve them, choosing the appropriate directions and appropriate methods for their solution, taking into account the available resources. FCS 1.1. The ability to develop and justify decisions on managing the competitiveness of the enterprise. FCS 2.1. The ability to form information support, apply analytical and methodical tools to justify proposals and make managerial decisions regarding business conduct.
Learning outcomes: PLO 1. Formulate, analyze and synthesize solutions to scientific and practical problems PLO 8. Collect, process and analyze statistical data, scientific and analytical materials necessary for solving complex economic problems. PLO 9. Make effective decisions under uncertain conditions and requirements that require the use of new approaches, methods and tools of socio-economic research. PLO 10. Apply modern information technologies and specialized software in socio-economic research and management of socio-economic systems. PLO 11. Determine and critically evaluate the state and trends of socio-economic development, form and analyze models of economic systems and processes. COM 1. Conveying to specialists and non-specialists information, ideas, problems, solutions and own experience in the field of professional activity. А&R 3. Ability to further study with a high level of autonomy.
Required prior and related subjects: Prerequisites: There are no Co-requisites: Socio-Economic Systems Development Strategie Financial Management in Business
Summary of the subject: The study of the discipline is aimed at forming students' theoretical knowledge and practical skills necessary for researching the nature of relationships between the indicators of complex socio-economic systems, identifying the regularities of their functioning and predicting development trends based on correlation-regression, factor, cluster, discriminant and dispersion methods analysis.
Опис: Conceptual principles and tools of statistical research of complex socio-economic systems. Correlation-regression analysis as a tool for studying socio-economic objects and processes. Modeling the dynamics of socio-economic systems. Application of analysis of variance for the study of socio-economic systems. Ranking and classification of multidimensional objects and processes. Concepts, tasks and procedures of discriminant analysis. Tasks and methods of factor analysis. Statistical analysis and modeling using neural networks.
Assessment methods and criteria: Current control involves: 1) assessment of knowledge during laboratory classes: evaluation of the performance of laboratory work; assessment of protection of laboratory work; 2) assessment of performance and protection of control works; 3) control testing at the State Administration of Internal Affairs.
Критерії оцінювання результатів навчання: Current control (100): performance and protection of laboratory works (60%); execution and protection of individual control work (20%); control testing (17%).
Порядок та критерії виставляння балів та оцінок: 100–88 points – (“excellent”) is awarded for a high level of knowledge (some inaccuracies are allowed) of the educational material of the component contained in the main and additional recommended literary sources, the ability to analyze the phenomena being studied in their interrelationship and development, clearly, succinctly, logically, consistently answer the questions, the ability to apply theoretical provisions when solving practical problems; 87–71 points – (“good”) is awarded for a generally correct understanding of the educational material of the component, including calculations, reasoned answers to the questions posed, which, however, contain certain (insignificant) shortcomings, for the ability to apply theoretical provisions when solving practical tasks; 70 – 50 points – (“satisfactory”) awarded for weak knowledge of the component’s educational material, inaccurate or poorly reasoned answers, with a violation of the sequence of presentation, for weak application of theoretical provisions when solving practical problems; 49-26 points - ("not certified" with the possibility of retaking the semester control) is awarded for ignorance of a significant part of the educational material of the component, significant errors in answering questions, inability to apply theoretical provisions when solving practical problems; 25-00 points - ("unsatisfactory" with mandatory re-study) is awarded for ignorance of a significant part of the educational material of the component, significant errors in answering questions, inability to navigate when solving practical problems, ignorance of the main fundamental provisions.
Recommended books: 1. Благун І.С. Економічне прогнозування: теоретичні та прикладні аспекти: підручник / І.С.Благун, В.П.Кічор, Н.Є.Селюченко; за ред.В.П.Кічора. Львів: Растр 7, 2020. - 290 с. 2. Кічор В. П., Фещур Р. В., Якимів А. І. , Копитко С. Б. Економіко-статистичне моделювання: навч. посібник / за ред. В. П. Кічора. Львів: Растр-7, 2017. - 350 с. 3. Благун І.С. Статистичний аналіз і моделювання соціально-економічних систем та процесів: підручник / І. С. Благун, В. П. Кічор, Д.І.Скворцов, Р. В. Фещур, С.І. Благун; за ред. В. П. Кічора. Львів: Растр-7, 2022. - 400 с. 4. Прогнозування соціально-економічних процесів: навч. посібник / Т.С.Клебанова та ін. Харків: ХНЕУ ім. Кузнеця, 2015. - 576 с.
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