Graph theory in the analysis of economic processes

Course: Economic analysis and statistics

Structural unit: Faculty of Economics

Title
Graph theory in the analysis of economic processes
Code
3.2.2.3
Module type
Вибіркова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
3 Semester
Number of ECTS credits allocated
5
Learning outcomes
Know the conceptual foundations of operations research for modeling and analysis of business project logistics Know the methods of solving problems of transport logistics, coordination and scheduling of projects, inventory management tasks Be able to choose methods and tools to optimize management strategies.
Form of study
Distance form
Prerequisites and co-requisites
1. The course is based on students' knowledge of discrete mathematics, probability theory, statistical analysis, statistical systems in business; understanding of modern economic problems, approaches to decision-making at the macro and microeconomic levels. 2. Students must have the skills of analysis, synthesis, processing of statistical data, methods of optimization in economic research.
Course content
The curriculum consists of two content modules: Content module 1. “Business process planning. Problems of transport logistics ”(topics 1-4). The module considers the application of network models and methods of network analysis to solve problems of transport logistics. Content module 2. "Tasks of organizing and coordinating business processes" (topics 5-9). The module deals with the issues of optimization of business project implementation plans.
Recommended or required reading and other learning resources/tools
Planned learning activities and teaching methods
The purpose of the discipline - the formation of knowledge and practical skills in the application of algorithms of graph theory for the analysis of economic processes.
Assessment methods and criteria
Semester assessment of such types of work as surveys, problem solving, testing, tests are carried out during classes that take place on schedule. The student's independent work consists in the systematic elaboration of lecture material. The mastered material is subject to verification at each practical lesson in the form of an oral interview and the solution of relevant tasks. In addition, the results of self-study of the material are checked in the form of two modular written works. The results of independent work, common mistakes are discussed in practical classes during the semester. Final assessment in the form of final control work - test tasks, 25 points / 15 points.
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Iryna Kostiantynivna Fedorenko
Department of Economic Cybernetics
Faculty of Economics

Departments

The following departments are involved in teaching the above discipline

Department of Economic Cybernetics
Faculty of Economics