Kyiv National Economic University named after Vadym Hetman

Economic and Mathematical Modelling Department

The Economic and Mathematical Modelling Department provides fundamental and specialised training to bachelor and master-level specialists at all faculties and forms of training in the field of the modelling of economy, quantitative methods of the economic analysis, the development of adequate economic mathematical models, and the use thereof in decision-making processes.

Major tasks of the disciplines taught by the Department is providing students with an opportunity to analyse and forecast economic systems with researcher's eyes, to learn using methodology and toolkit of the economic mathematical modelling in the theoretical research, and to apply the obtained knowledge in practice taking account of the fact that economic processes develop in conditions of the uncertainty, the conflict and the risk associated therewith.

The broad range of courses offered by the Department covers quite fully the modern lines of the development of the economic systems modelling, and provides an opportunity for the obtainment of the thorough and systemic knowledge. The obtained skills in modelling and the application of the appropriate software on the PC can be useful for writing course papers and diploma theses, and for the successful professional activity. This is because the digestion of major aspects of the economic mathematical modelling contributes to the development of the students' ability to study special practical problems more profoundly, to make more efficient and systemic decisions taking account of the uncertainty and the associated risk.

Teachers of the Economic and Mathematical Modelling Department are specialists of high scientific and pedagogical level. The Department initiated the introduction of courses in Economic Risk Theory and Economic Modelling for economists in higher education establishments of Ukraine. Relevant working curricula and textbooks were developed. For instance, the first riskology textbook in Ukraine (Economic Risk and Methods of Its Measurement) was published by KNEU in 1996. In all, teachers of the Economic and Mathematical Modelling Department developed more than thirty textbooks and manuals endorsed by the Ministry of Education and Science of Ukraine over the prior years.

Most courses offered to students in the field of the economic and mathematical modelling were introduced together with the implementation of the Bologna Convention. Thus, the development of the suitable educational methodology support is a priority task being solved by employees of the Department.

Bachelor-level disciplines
Operations Research

The purpose of science: the study of students organizes and active assimilation of the main methods for solving optimization problems; inventory management problems; of network management; queuing; acquiring skills of analysis and use of adequate tools for solving selected classes of problems in the study of practical problems in economics and business

Economic and mathematical methods and models

The purpose of science: form knowledge of the methodology and tools of building and adequate use of various types of economic and mathematical models and methods.

The task of science: mastering the basic principles and tools on setting objectives, basic methods of solving and analysis for widespread use in economics and business

Economy Modelling (core course for bachelors of speciality 6502)

The purpose of science: form the knowledge of methodologies, techniques and tools for building economic and mathematical models, analysis and use of them.

For successfully master the science requires knowledge of a number of fundamental and professionally oriented subjects, learning which provided for educational and professional program of higher economic education in Ukraine

Models of economic dynamics

The purpose of science: to form skills and abilities on the analysis of dynamic processes in economy that based on the development and application of adequate economic and mathematical models and the use of information technology, to analyze the results.

The task of science: master apparatus methods of analysis of economic dynamics and methods of the process of economic and mathematical modeling; master skills on the application of knowledge and skills in formulating and solving the problems of the dynamics of economic systems; analysis of simulation results, showing trends or creating scenarios for the evolution of events and providing timely advice

Systems Modelling

The purpose of science: form the system of knowledge about the mathematical foundations of modeling systems, ability to apply this knowledge in solving specific problems.

The task of science: learn the principles and methods of modeling, skills of computer experiments in creating systems and automation and control

Projection of Socio-economic Processes (selective discipline for bachelors of specialities 6501, 6502, 6503, 6504, 6505, 6507, 6509, 6601/1, and 6404)

The purpose of science: form of the theoretical knowledge and practical skills for modeling and forecasting of economic and social development.

The task of science: form understanding of the role of social and economic forecasting; reveal the principles and define the functions of forecasting; reveal the basic methods of social and economic forecasting; examine the current models of forecasting models of economic dynamics; light the features of the practical aspects of social and economic forecasting

Decision Making Theory

The purpose of science: form the system of knowledge about the mathematical foundations of decision making and form practical skills in analyzing situations, decision-making, implementation of the principles of goal-setting, forming criterion spaces, sets of alternative strategies, technology validation and optimization solutions

Adaptive Models in Economy and Entrepreneurship (selective course for bachelors of specialities 6501, and 6502)

The aim of the course: an affordable way to familiarize the future specialist with the latest tools and results of studying the problems of the economy, which is inherent variability permanent.

Tasks of the course: to acquire knowledge about the main achievements in the field of adaptive modeling the dynamics of economic evolution, its stages and techniques; master the technique of adaptive dynamic EMM, apparatus methods of qualitative and quantitative analysis, adaptive methodology in general economic and mathematical modeling; effectively apply knowledge and skills in the formulation and solution of problems of the dynamics of economic systems; exercise calculated experiment in the economy; interpret simulation results, showing trends or creating scenarios for the evolution of events and providing timely advice

Econometrics (core course for bachelors in the field of Economics and Entrepreneurship)

The purpose of discipline: formation of knowledge of the methodology and tools of building and adequate use of different types of econometric models and methods at the macro and micro skills using the appropriate mathematical tools in solving management problems and economic problems.

The task of discipline: mastering basic principles, methods and tools on setting econometric problems and solving methods of analysis for widespread use in economics and business

Financial Mathematics (core course for bachelors in the field of Economics and Entrepreneurship)

The purpose of discipline is to meet the needs of future specialists in economy of knowledge in the field of financial calculations that arise in solving practical problems in various areas of economic and business activity.

Tasks of the course is to study and students mastering basic concepts, methods and mathematical tools of financial calculations that are the basis for quantitative analysis of financial market instruments and other investment projects

Simulation of Economic Systems (selective course for bachelors of speciality 6502)
Simulation

The purpose of discipline: formation of knowledge on the theoretical foundations of simulation, methodology and tools of building simulation models and mastering practical skills to adequate use.

Tasks of the course: learning the principles and features modern methods and software of computing experiments using computer tools and mathematical models to solve practical problems important economic modeling of complex systems and forecasting

Applied Problems of the Simulation of Economic Processes (core course for bachelors of speciality 6502)

The aim of the course: to meet the needs of future professionals in knowledge about methods of decision-making and management of organizational and economic systems based on different levels of economic and mathematical modeling and special economic and mathematical methods, as well as mastering the conceptual provisions of constructing mathematical models based on computer technologies and their use in the analysis and management of economic systems

Mathematical modeling of economic objects

The purpose of discipline: form the knowledge of the methodology and tools of building and adequate use of various types of economic and mathematical models and methods.

The task of discipline: mastering basic principles and tools on setting objectives, basic methods of solving and analysis for widespread use in economics and business

Economic Mathematical Modelling (core course for bachelors of specialities 6601/1, and 6601/2)
Risk Management (selective discipline)

The aim of the course: to meet the needs of future specialists in economics and entrepreneurship in the knowledge of systemic risk analysis in financial and credit sector, foreign economic activity based on the use of conceptual provisions of modern risk management and its tools, widely used quantitative methods and economic and mathematical models

Riskology (selective course for bachelors of all specialities in the field of Economics and Entrepreneurship — 6601/1, 6601/2, and 6404)

The aim of the course: to meet the needs of future specialists in economics and entrepreneurship in the knowledge of systemic risk analysis in financial and credit sector, foreign economic activity based on the use of modern conceptual provisions   The aim of the course: to meet the needs of future specialists in economics and entrepreneurship in the knowledge of systemic risk analysis in financial and credit sector, foreign economic activity based on the use of modern conceptual provisions riskology and its tools, widely used quantitative methods and economic and mathematical models

Simulation of Economic Systems Security (selective course for bachelors of speciality 6502)
Optimisation Methods and Models (core course for bachelors in the field of Economics and Entrepreneurship)
Mathematical modeling in accounting and administrative activity

The purpose of discipline: mastering theoretical propositions and practical skills in the use of applied mathematical models and methods in accounting and audit.

Subject disciplines: economic and mathematical methods and models of economic problems related to the accounting and management of business entities, the analysis of the results

Neural simulation technology in the economy

The aim of the course: to help students acquire knowledge and gain competence in designing mathematical economic models on the ground of technology neural networks and fuzzy logic for their application in their professional activities, in evaluating the current situation and the prediction of further development of economic systems and processes to rational decision-making

Training- Ranking creditworthiness of bank customers
Training-Choosing the best investment strategy of the virtual enterprise
Econometrics 2

"Econometrica 2" - applied discipline within which considered the possibility of using econometric models to identify and describe the methods of mathematical patterns and relationships that objectively exist in the economy.

The aim of the course: to deepen the knowledge of future bachelors in the econometric modeling of economic processes and phenomena, and to create practical skills for setting economic problems, developing appropriate models and econometric analysis

Forecasting of social and economic processes (selective discipline)

The purpose of discipline: formation of theoretical knowledge and practical skills for modeling and forecasting of economic and social development.

The task of science: formation of students' understanding of the role of social and economic forecasting, and disclosure principles defining the functions of forecasting; disclosure of the main methods of social and economic forecasting; consideration of the current forecasting models of economic dynamics; lighting features practical aspects of social and economic forecasting

Master-level disciplines
Mathematical Models and Market Economy Methods (core course for masters of speciality 8102, selective course for masters of speciality 8404)

The purpose of science: form the system of knowledge about methodology and tools of economic modeling of objects and systems and form the practical skills and application of modern mathematical models of market economy in professional activity.

The task of science: learn the basic principles of construction of mathematical economic models and methods of analysis of real economic processes and management of economic objects (on the macro and the microeconomic levels) in terms of transformation of the economy, which is characterized, on the one hand increase the role of innovation, information, human capital, and on the other increase the risk of uncertainty, the enhanced effect of destabilizing factors; study of typical models for analysis and effective decision-making

Methodology and Organisation of the Scientific Research (core course for masters of speciality 8404)

The purpose of science: form competencies and provide basic knowledge of research, master the basics and principles of the methodology and tools of research.

The task of science: form scientific outlook, understand the concept of modern information economy, a holistic understanding of the methodology of scientific research skills and practical application of specific methods of scientific research in professional activities

Management of economic risk on grounds methods of nonlinear dynamics
Modeling capital market instruments
Models and methods of artificial intelligence
Risk management in the financial sector
Risk management in the real economy
Adaptive models in Information Management Systems
Neurofuzzy Models in Intellectual Decision Making Systems (core course for masters of speciality 8404)
Theory of Intellectual Decision Making Systems (core course for masters of speciality 8404)

Education level: Master

The purpose of science: develop the knowledge about methodology and tools of construction of modern economic and mathematical methods and models of computer and intelligent technologies to select the best, in a sense, alternatives and finding effective solutions

Analysis and modeling of economic risks
Modeling and management of financial investments
Adaptive Models in Intellectual Decision Making Systems (core course for masters of speciality 8404)

The purpose of science: acquaint students generally available from achieved and the prospect research to create information systems for managing the economy.

The task of science: conceptual study of the theory and practice of information management systems; forming the ability to define methods and means of management of economic systems based on dynamic modeling processes; mastering apparatus methods and models for the effective management and control of economic processes

Financial econometrics
Accounting and analytical modeling of the company
Modeling of HR
Analysis, Modelling and Management of Financial Investments (selective course for maters of specialities 8102 and 8404)
Intellectual Data Analysis Models (selective course for masters of speciality 8404)
Risk Management Models (core course for masters of speciality 8102)
Nonlinear Models of Economic Processes (selective course for masters of specialities 8102 and 8404)
Stochastic Processes and Models in the Economy (selective course for masters of speciality 8404)
The system of mathematical models of choice of project (training)
The methodology of scientific research in the information economy
Neuro-fuzzy models in the management

The purpose of science: form the theoretical knowledge and practical skills to build mathematical models to fuzzy logic and neural networks for analysis and forecasting of complex systems and processes to rational decision-making.

Learning outcomes:

Given the successful implementation of the requirements for mastering science student should know: basic conceptual provisions and principles of process modeling, analysis, forecasting and management of complex systems using fuzzy logic tools, neural networks; principles of designing models on fuzzy logic and form the base of fuzzy logic statements; principles of construction of various types of neural networks, the choice of structure and optimization of parameters; rules for choosing the type of models depending on the class of tasks to be solved; main ways to verify the adequacy of constructed models; principles of analysis and interpretation of the results; principles of formation of administrative decisions based on the results of modeling

Risk Management (master)

"Risk management" - the science of methodology, basic laws, principles and Economics and Mathematics detection tools, accounting, valuation and risk management. The purpose of science: to train future professionals use economic and mathematical methods in decision making under uncertainty and risk generated by its characteristic of a market economy and theoretical skills to master and then employing the latest issues in applied economics and business