Department of mathematical methods in economics
In 1967 at the BSINE (Belarusian State Institute of National Economy) named after V.V. Kuybyshev was established the Department of Economic Cybernetics and Programming. The first head was the corresponding member of the Academy of Sciences of the BSSR, Doctor of Economics, Professor N.I. Veduta, he was replaced by Doctor in Economics, Professor S.A. Doomler. In 1972 – 1986 the head was PhD in Economics, Associate Professor Ya.N. Zhikhar. In 1974 the department was renamed the Department of Economic and Mathematical Methods and Programming.
Some reorganizations of the team were in the second half of the 1980s – early 1990s. The Department of Economic and Mathematical Methods and Programming was created with the addition of the Department of Computing Machines and Programming in 1986. There was a unification with the Department of Machine Processing of Economic Information, and the Department of Informatics and Computer Technology was founded in 1988. The Department of Economic Cybernetics was formed in 1991, renamed the Department of Applied Mathematics and Economic Cybernetics in 1992. The Department received the name most appropriate for the area of activity – the Department of mathematical methods in economics in 2016. The Department was headed by a PhD in Economics, Associate Professor Yu.N. Busygin (1986 – 1991), PhD in Economics, Associate Professor A.A. Lapko (1991 – 1995); Doctor of science in Economics, Professor N.I. Kholod (1995 – 2002), Professor I.V. Belko (2002 – 2009). Since August 2009, the department has been headed by Chitaya Gigla Otarovich, Doctor of science in Economics, Associate Professor.
Since August 1, 2019, the Department of Mathematical Methods in Economics is part of the Faculty of Digital Economics.
The department plays a leading role in the system of continuous mathematical training of students of economic specialties and in the mastering by them of computer information technologies for forecasting, planning, regulation, analysis of economic activity and operational management. The lectures, practical and laboratory classes are conducted by the faculty of the department with taking into account the specifics of faculties and the profile of future specialists. The proposed subjects are closely linked to the special disciplines of the specialized departments. The solution of production problems or specific economic situations on a personal computer is provided in all training programs on almost all topics. Optimal solutions are established, econometric forecasting models are built, and the results are analyzed in detail by using appropriate application packages.
Specialties
The Department is graduating in the specialty 1-31 03 06 – "Economic cybernetics", the specialty direction is 1-31 03 06-02 – "Economic cybernetics (informational technology in economics)" with a specialization in "Optimal planning and management in the economy", with the awarding of qualification – "Cyberneticist-economist".
Thorough proficiency in mathematics, physics and the native language is required for admission to the specialty "Economic Cybernetics". The competition is one of the highest in the BSEU.
Graduates of the Faculty of Digital Economics with a degree in Economic Cybernetics are prepared for planning, analytical, organizational, managerial and practical activities in all sectors of the economy. They work in enterprises and organizations of all forms of ownership, in regional and municipal structures of various levels, audit firms, banks, investment and insurance companies, research institutes, higher and secondary special educational institutions. Students of the specialty "Economic Cybernetics" are trained on the basis of deep study of three blocks of disciplines: mathematical; economic; computer technology and systems. In this regard, they are distinguished for a deep knowledge of computer information technologies, methods of economic and mathematical modeling, forecasting and analysis of specific economic problems using a PC, as well as for the ability to develop management support decision-making systems. Demand for specialists in this field has been increasing in recent years. The term of study in the specialty of Economic Cybernetics is 4 years for full-time students. There is no distance learning in this specialty. Graduates are awarded the qualification "Cyberneticist-economist". They work in research institutes, banks, firms, state enterprises, etc. They own methods of analysis of socio-economic systems, of modeling of economic situations, forecasting economic processes, solving planning problems based on mathematical methods and computer technologies. They are distinguished for deep knowledge of the theoretical foundations of economics, information technology and programming, mathematical methods of planning and economic management.
All the research work of the department is focused on the training of scientific professionals, PhDs and doctors of science, as well as on the writing and preparation of modern textbooks and teaching aids.
A significant area of research activity of the department is the preparation of highly qualified scientific personnel. PhD and doctoral students are studying at the department in the specialty 08.00.13 "Mathematical and instrumental methods of economics". Graduated who have successfully passed these forms of training join the ranks of scientists and university professors of the republic, including our university.
Educational activities
Disciplines
The list of academic disciplines assigned to the Department of Mathematical Methods in Economics for the 2019-2020 academic year.
1st level of higher education:
- Introduction to the specialty (optional)
- Higher mathematics
- Geometry and Algebra
- Discrete mathematics and mathematical logic
- Operations Research
- Simulation and statistical modeling
- Computer modeling of economic systems
- Mathematical Economics
- Mathematical decision models
- Methods of dynamic analysis of the economy
- Methods of multivariate statistical modeling in the economy
- Multivariate statistical analysis
- Modeling of the financial market
- Applied mathematical models in industries
- Methods of optimization
- Nonlinear dynamic models in the economy
- Game theory and operations research
- Numerical methods
- Econometrics
- Econometrics and economic-mathematical methods and models
- Economic-mathematical methods and models in pricing
- Economic cybernetics
KTC
- Economic-mathematical methods and models in logistics
2nd level of higher education:
- Automation of financial calculations
- Automation of economic calculations
- Cluster and factor analysis in the economy
- Quantitative methods of analysis in business
- Mathematical modeling of banking
- Methodology for modeling of economic processes
- Methods of algorithmization in financial calculations
- Optimization methods in financial computing
- Applied statistical analysis
- Special optimization methods
- Econometrics of time series
- Econometrics of the time series of financial assets
Research work
Main publications:
- Economic-mathematical methods and models: teaching aid / S.F. Miksyuk, V.N. Komkov, I.V. Belko [et al.]; under the general. ed. S.F. Miksyuk, V.N. Komkova. – Minsk: BSEU, 2006.
- Economic-mathematical methods and models: workbook / S.F. Miksyuk [et al.]; under the general. ed. S.F. Miksyuk. - Minsk: BSEU, 2008.
- Kostevich, L.S. Operations research. Game Theory: teaching aid / L.S. Kostevich, A.A. Lapko. – 2nd ed., Revised. and add. – Minsk: Grad. school, 2008.
- Kostevich, L.S. Mathematical programming: workbook / L.S. Kostevich, I.V. Gaidukevich. – Minsk: BSEU, 2009.
- Deniseiko, I.V. Econometrics: laboratory workbook / I.V. Deniseiko, T.A. Borodina. – Minsk: BSEU, 2010.
- Economic-mathematical methods and models: laboratory workbook [Electronic resource] / T.A. Borodina [et al.]. – Minsk: BSEU, 2012.
- Econometrics and economic-mathematical methods and models: teaching aid / G.O. Chitaya [et al.]; edited by G.O. Chitaya, S.F. Miksyuk. – Minsk: BSEU, 2018.
International relations dep.
e-mail : umoms@bseu.by
Tel.: (+375 17) 209-88-32,
International students office:
Tel.: (+375 17) 209-79-71