Statistics of business processes

Course: Management of Organizations and Administration

Structural unit: Faculty of Economics

Title
Statistics of business processes
Code
ВК 3.2.6
Module type
Вибіркова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2022/2023
Semester/trimester when the component is delivered
3 Semester
Number of ECTS credits allocated
4
Learning outcomes
PLO 1. Critically consider, select and use the necessary scientific, methodical and analytical tools for management in unpredictable conditions. PLO 2. Identify problems in the organization and justify the methods of solving them. PLO 8. Apply specialized software and information systems to solve organizational management problems. PLO 13. To be able to plan and implement informational, methodical, material, financial and personnel support of the organization (subdivision).
Form of study
Prerequisites and co-requisites
1. Know: the basic principles of modern theory of micro- and macroeconomics, the basic principles of enterprise functioning, methods of mathematical statistics and probability theory, basic statistical methods of data analysis, methods and tools of marketing research, applied data processing programs. 2. Possess the skills of statistical processing and data visualization, working with the regulatory and legal framework.
Course content
The content of the discipline is revealed in the following topics: concepts and types of data in business statistics; statistical analysis of random situations in business; statistical methods of working with random variables characterizing business processes; preliminary planning of a random sample for evaluating business processes; confidence intervals in assumptions about the inaccuracy of estimates of business processes; statistical methods of quality management in business.
Recommended or required reading and other learning resources/tools
1. Бізнес-статистика: навч. посібник / [Матковський С.О., Гринкевич О.С., Вдовин М.Л., Вільчинська О.М., Марець О.Р., Сорочак О.З.] – К.: Алерта. 2016. – 280 с. 2. Siegel, Andrew F. Practical business statistics / Andrew F. Siegel. – 8th ed., 2017. – Р. 641. 3. Siegel, Andrew F. Essential Statistics, Regression, and Econometrics / Andrew F. Siegel. –– 2015. – Р. 386. 4. Pinder.Jonathan P. Introduction to Business Analytics using Simulation / Jonathan P. Pinder –– 2017. – P. 434.
Planned learning activities and teaching methods
Problem-oriented learning: lectures, seminars, practical tasks, Case study, consultations, independent work
Assessment methods and criteria
1. Participation in laboratory classes (presentation of completed tasks and independent performance of practical exercises) – 10 points / 6 points 2. Test work (topics 2-4) – 40 points / 24 points 3. Preparation and defense of an individual calculation project - 50 points / 30 points - final assessment in the form of credit.
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Department of Statistics, Information and Analytical Systems and Demography
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