Statistical methods for the implementation of data
Course: Economic analysis and statistics
Structural unit: Faculty of Economics
Title
Statistical methods for the implementation of data
Code
1.10
Module type
Обов’язкова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2023/2024
Semester/trimester when the component is delivered
2 Semester
Number of ECTS credits allocated
5
Learning outcomes
PLO 2. Develop, justify and make effective decisions on the development of socio-economic systems and management of economic entities.
PLO 6. Evaluate the results of their own work, demonstrate leadership skills and ability to manage staff and work in a team
PLO 12. Substantiate management decisions on the effective development of economic entities, taking into account the goals, resources, constraints and risks.
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.
PLO 18. Formulate new hypotheses and scientific problems in the field of economics, propose appropriate approaches and methods for testing them.
Form of study
Full-time form
Prerequisites and co-requisites
1. Successful mastering of the course "Statistical support of business process management".
2. Knowledge of the theory of statistics and econometrics.
3. Knowledge of the STATISTICA package.
Course content
Getting acquainted with the peculiarities of statistical methodology and mastering the basic techniques of statistical analysis of the relationships between phenomena and processes that take place in the economy and social sphere, interpretation of their results 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 course is to continue to develop students' theoretical knowledge and practical skills to quantify the relationship between phenomena and processes that occur in the economy and social sphere on the basis of the original data set to ensure the reliability of conclusions and recommendations. The educational task of the course is to develop practical skills of analysis of complex databases.
Assessment methods and criteria
Forms of student assessment:
- semester assessment of 100 points maximum / 60 points minimum:
1. Preparation of the presentation - 20 points / 12 points
2. Performing practical exercises 20 points / 12 points
3. Final test №1 (topics 2-4) - 30 points / 18 points
4. Preparation and defense of an individual settlement project - 30 points / 18 points
Language of instruction
Ukrainian
Lecturers
This discipline is taught by the following teachers
Departments
The following departments are involved in teaching the above discipline