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Department of Applied Mathematics and Economic Cybernetics

The Chair of the department is Dr. hab. Gigla O. Chitaia.

The Department of Mathematical Methods and Programming was established in V.V. Kuibyshev Byelorussian State Institute of National Economy (present BSEU) in 1967. Its first Chair was appointed Dr. hab., Professor N.I. Veduta, an Associate member of the BSSR National Academy of Sciences. His successor was professor S.A. Dumler, who was followed by Associate Professor Y.N. Zhihar, chair of the Department for 14 years.

In 1986, this Department merged with the Department of Information Science and Computer Engineering. 5 years later the Department of Economic Cybernetics was organized. In 1992 its name was changed for the Department of Applied mathematics and Economic Cybernetics. Since 1995 its chair was Dr. hab., Prof. N.I. Holod, succeeded in 2002 by Dr. hab., Prof. Ivan V. Belko.

The Department takes a key position in continuous training students in mathematics and their mastering computer-based information technologies in prognostics, planning, regulation, economic analysis and day-to-day management. The department teaching faculty take into account peculiar features of every School and specialty of future specialists in their lectures and practical classes. The subjects to teach have close links with major disciplines offered by specializing departments. All course work programs envisage students’ solving production tasks and particular case analysis for every theme by use of PCs. Appropriate Applied Program Packages are used to find optimal solutions, to give a detailed analysis of the data obtained and to find resources for further optimizing plans.

The Department is a graduating one for the School’s specialties 1-31 03 06 (Economic Cybernetics) majoring in Economic Cybernetics (1-31 03 06-02 – Information Technologies in Economics) with specialization in Optimum Planning and Management in Economics; the qualification of Economic Cyberneticist is granted.

Applying to the specialty Economic Cybernetics requires profound knowledge in all subjects due to the toughest competition among applicants at BSEU.

Graduates from the School of Management majoring in Economic Cybernetics are ready to conduct planning, analytical, managerial and practical activities in every branches of economy. They are employed in companies of different ownership, in regional and municipal organizations at every level, auditing firms, banks, investment and insurance companies, research institutes and institutions of higher and specialized secondary education. Training students majoring in Economic Cybernetics is based on three sets of disciplines – mathematics, economics, and computer technologies and systems.

This results in thorough knowledge of computer information technologies, methods of PC-based economic and mathematical modeling, forecasting and analysis of specific economic cases as well as skills to design management decision support systems. The demand for such specialists is constantly growing. The term of study is 5 years for full-time students majoring in Economic Cybernetics; no correspondence course is available. Graduates are granted the qualification of an economic cyberneticist. They work in research institutions, banks, companies, public industries, etc. Practical skills provided are implementing methods of social-economic system analysis, modeling economic situations, forecasting economic processes and solving plan tasks based on mathematical methods and computer technologies. Graduates, too, are noted for their profound knowledge of economic theory, information technologies and programming, mathematical methods of planning and economic management.

Scholarly and research work at the department is aimed at training future scientists through doctoral and post-doctoral programs as well as compiling modern textbooks and study guides.

An important direction in the department’s scholarly and research activities is training scientific personnel of high qualification. At present the department provides Master’s, doctoral and post-doctoral programs in specialty 08.00.13 “Mathematical and Instrumental Methods in Economics”. Their successful graduates become scientists and university professors in higher educational establishments, including BSEU.

Basic terms and definitions

Economic Cyberneticist – is a multifunctional expert specializing in analytical work, capable to develop and apply modern decision-making methods at different levels of economic management.

Economic and mathematical methods – are the science of mathematical modeling of economic processes and applying mathematical methods to developing and analyzing efficient economic activity patterns in different economic sectors.

Dr. hab., Prof. Ivan V. Belko is the present chair of the department. His total work record is 37 years, including 30 years at BSU and 7 years at BSEU. He is the author of more than 70 scientific publications (200 printer’s sheets).

The department faculty are as follows:

  • Dr. hab., Prof. Ivan V. Belko, chair of the department
  • Ph.D., Associate Prof. Ernest M. Aksen
  • Dr. hab., Prof. Valeri Ya. Asanovich
  • Assistant lecturer Tatyana A. Borodina
  • Assistant lecturer Irina V. Gaidukevich
  • Ph.D., Associate Prof. Liudmila F. Dezhurko
  • Ph.D., Associate Prof. Mikhail E. Zheludkevich
  • Ph.D., Associate Prof. Yaroslav N. Zhikhar
  • Ph.D., Associate Prof. Inna V. Kashnikova
  • Ph.D., Prof. Leonid S. Kostevich
  • Assistant lecturer Elena A. Krishtapovich
  • Assistant lecturer Anastasia A. Krukova
  • Ph.D., Associate Prof. Elena V. Kriuk
  • Dr. hab., Prof. Svetlana F. Miksiuk
  • Assistant lecturer Viktor L. Panfiorov
  • Assistant lecturer Vladimir V. Paraschenko
  • Ph.D., Associate Prof. Romuald A. Rutkovski
  • Dr. hab., Prof. Nikolai I. Kholod
  • Assistant lecturer Olga D. Yufereva

The Department of Applied mathematics and Economic Cybernetics provides training in academic year 2007/2008 in the disciplines as follows:

  • Introduction to Specialty
  • Higher Mathematics
  • Higher Mathematics (Linear Algebra)
  • Higher Mathematics (Mathematical Programming)
  • Higher Mathematics (Probability Theory and Mathematical Statistics)
  • Business Games in Agricultural Sector
  • Business Games in Industry
  • Operational Analysis
  • Mathematical Models in Microeconomics
  • Mathematical Frameworks of Decision-Making Theory
  • Mathematical Programming
  • Optimum Planning Models and Business Games in Agricultural Sector
  • Optimum Planning Models and Business Games in Industry
  • Optimum Planning Models and Business Games in Commerce and Finance
  • Resource-saving Modeling
  • Modeling of Financial Risks in Banking and Finance
  • Applied Orthogonal Methods in Economics
  • Special Optimization Methods
  • Econometrics
  • Economic and Mathematical Methods and Models
  • Economic Cybernetics

The department’s main directions of scholarly research:

  • modeling enterprise sectoral structure;
  • modeling insurance risks;
  • optimization models for a bank balance;
  • Resources saving modeling for the economy of the Republic of Belarus;
  • The tasks of multi-criteria optimization of economic processes at enterprises in the Republic of Belarus;
  • Creating databases for economic systems and management optimization at enterprises;
  • Information technologies for optimum decision-making and reengineering for improved management efficiency;
  • regulation and prognostics models for the national economy;
  • Modeling and system analysis of business activities at industrial and agricultural enterprises;
  • Modeling and system analysis of business activities at commercial, logistic and marketing enterprises;
  • Modeling and system analysis of business activities in financial institutions;
  • Regressive correlative methods in production analysis;
  • Efficient technologies in management and logistics.
Our Address: room 807/4, 26 Partizansky av.,
Minsk, 220672, Republic of Belarus
Telephone number/fax:
+375 17 209 88 48 I.V. Belko, Chair
© Belarus State Economic University
26, Partizanski Av, Minsk, 220070, Republic of Belarus
Tel.: (+375 17) 209-88-32; tel./fax: (+375 17) 296 23 66
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