Financial statistics
Course: Economic analysis and statistics
Structural unit: Faculty of Economics
Title
Financial statistics
Code
3.1.8
Module type
Вибіркова 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
5
Learning outcomes
PLO 2. Know and use economic terminology, explain the basic concepts of micro- and macroeconomics
PLO 4.Use professional arguments to convey information, ideas, problems and ways to solve them to specialists and non-specialists in the field of economic activity
PLO 5. Explain the models of socio-economic phenomena, guided by the fundamental principles and knowledge of the main directions of economic science
PLO 6. Apply appropriate economic-mathematical and statistical methods and models to solve economic problems
PLO 7. Understand the main features of the modern world and national economy, institutional structure, directions of social, economic and foreign economic policy of the state
Form of study
Prerequisites and co-requisites
1. Know: the basics of higher mathematics, probability theory, economic theory, statistical theory, a block of financial disciplines, the teaching of which precedes the teaching of financial statistics.
2. Have: skills of statistical observation, systematization and generalization of statistical data, statistical analysis, modeling and forecasting, statistical methods of software processing and data analysis, working with Windows software, MS Excel, PowerPoint, electronic means of visualization of statistical data, including including using Power BI, using Internet resources
Course content
The curriculum is one of the key disciplines in the training of future specialists in economics and statistics in the use of quantitative methods and techniques for the study of economic phenomena and processes in the financial sector. Knowledge of statistical methods and indicators studied by students allows them to use statistical models to describe trends and patterns of financial development at both macro and micro levels, identify and quantify the impact of individual factors on the phenomenon or process under study, make a reasonable a forecast of its development, which will form the basis for the development of further actions of the relevant economic structures to improve the economic situation and solve current and future problems. The program consists of two content modules.
Recommended or required reading and other learning resources/tools
Planned learning activities and teaching methods
The purpose of the discipline - the formation of students' solid theoretical knowledge and practical skills in the use of quantitative methods and techniques for the study of economic phenomena and processes in the field of finance at the macro and micro levels ..
The educational task of the course is to study the basic methods and techniques of collecting, processing and analyzing statistical information on the socio-economic composition of the population and households, the nature of the formation and intensity of social processes, trends and prospects for their development.
Assessment methods and criteria
Forms of student assessment: (max. Points 60 / min. Points 36)
1. Participation in laboratory classes (discussions, preparation and presentation of one theoretical question, practical exercises, problem solving, individual and group practical tasks, group project development, individual calculation and analytical task) - 10 points / 6 points
2. Modular test - 20 points / 12 points
3. Execution of 2 individual independent works - 15 points / 9 points each.
- final assessment in the form of an exam
Language of instruction
Ukrainian
Lecturers
This discipline is taught by the following teachers
Yaroslava
Popliuiko
Department of Statistics, Information and Analytical Systems and Demography
Faculty of Economics
Faculty of Economics
Departments
The following departments are involved in teaching the above discipline
Department of Statistics, Information and Analytical Systems and Demography
Faculty of Economics