Multidimensional statistical methods and models
Course: Economic analysis and statistics
Structural unit: Faculty of Economics
Title
Multidimensional statistical methods and models
Code
1.21
Module type
Обов’язкова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2023/2024
Semester/trimester when the component is delivered
4 Semester
Number of ECTS credits allocated
5
Learning outcomes
PLO3. Use analytical and methodological tools to understand the logic of economic decision-making by various economic agents (individuals, households, enterprises and public authorities)
PLO6. Apply appropriate economic-mathematical and statistical methods and models to solve economic problems
PLO9. To analyze the functioning and development of economic entities, to determine the functional areas, to calculate the relevant performance indicators of their activities
PLO11. Apply the acquired theoretical knowledge to solve practical problems and interpret the results
Form of study
Full-time form
Prerequisites and co-requisites
1. Know: methods of statistical analysis in the disciplines: "Statistics", "Higher Mathematics for Economists", "Probability Theory and Mathematical Statistics".
2. Be able to: use software for processing large amounts of data and problem-oriented application packages. Have the skills of statistical processing and visualization of data.
Course content
Multidimensional statistical methods and models are actively used in the modern world in all areas of practice, and multidimensional analysis has become an integral tool in ensuring sound management decisions at all levels of government. The discipline is aimed at mastering the methods of multidimensional statistical assessment and forecasting the development of complex socio - economic systems and contains two content modules
Recommended or required reading and other learning resources/tools
Planned learning activities and teaching methods
The purpose of the discipline is to master the methods of statistical analysis of complex, multifactorial and multifaceted socio-economic processes, as well as to acquire skills and abilities to process statistical information using computer technology Multivariate Exploratory Techniques.
Assessment methods and criteria
Forms of student assessment: (max. Points 60 / min. Points 36)
1. Express survey and practical exercises - 30 points / 18 points:
- express survey at lectures - 10/6 points;
- performance of practical exercises during laboratory classes - 20/12 points.
2. Two modular tests - each 5 points / 3 points;
3. Preparation and defense of an individual calculation and analytical project - 20 points / 12 points
- 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