Statistical update models
Course: Economic analysis and statistics
Structural unit: Faculty of Economics
Title
Statistical update models
Code
3.2.2.4
Module type
Вибіркова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2023/2024
Semester/trimester when the component is delivered
3 Semester
Number of ECTS credits allocated
5
Learning outcomes
PLO1. Formulate, analyze and synthesize solutions to scientific and practical problems
PLO 10. Apply modern information technology and specialized software in socio-economic research and management of socio-economic systems.
PLO 11. Identify and critically assess the state and trends of socio-economic development, form and analyze models of economic systems and processes
PLO 15. To plan and carry out scientific and / or applied researches, to make the substantiated conclusions on results of researches, to present results, to argue the opinion.
Form of study
Prerequisites and co-requisites
1. The basis of the study of this discipline is the successful completion of courses related to statistical methods of data analysis.
2. Knowledge of statistics and econometrics.
3. Knowledge of application packages and the ability to work in them
Course content
Statistical methods of time series analysis are actively used in the modern world in all areas of practice, and forecasting development has become an integral tool in providing sound management decisions at all levels of government. The discipline is aimed at mastering the methods of modeling reproduction processes that are intertwined in complex socio-economic systems, can cause disparities in the development of individual components of the system and affect the efficiency of the system as a whole.
Recommended or required reading and other learning resources/tools
Planned learning activities and teaching methods
The purpose of the discipline - to master the methods of statistical analysis of reproduction processes - economic, natural, social; to acquire skills and abilities to process statistical information on renewable aggregates, model their inherent reproductive processes and substantiate forecasts using applied computer programs.
Assessment methods and criteria
Forms of student assessment:
- semester assessment of 60 points maximum / 36 points minimum:
Semester assessment of such types of work as: practical exercises and problem solving is carried out during laboratory classes online on a schedule.
- final assessment in the form of an exam
Language of instruction
Ukrainian
Lecturers
This discipline is taught by the following teachers
Departments
The following departments are involved in teaching the above discipline