Yuliia Bartashevska
PhD in Economics, Associate Professor
Education:
Dnipro National University (2001), major "Computer Studies".
PhD in Economics in 08.00.04. "Economics and management of enterprises"
Subjects taught "Economic cybernetics", "Corporate information systems", "Information systems in management", "Information systems and technologies in management" etc.
Sergiy Vakarchuk
Doctor of Physical and Mathematical Sciences, Full Professor
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Academician of the Academy of Sciences of Higher Education of Ukraine, Prizewinner of National Academy of Sciences of Ukraine, member of the American Mathematical Society (AMS)
Education:
- graduated from Dnipro State University (1978), speciality "Mathematics".
- presented his doctoral thesis on speciality 01.01.01 "Mathematical Analysis" (1994). Holds the academic rank of Full Professor since 2003.
Scientific and pedagogical work exprerience: 35 years.
Subjects taught: Mathematics for Economists (Higher Mathematics, Probability Theory and Mathematical Statistics) - in English, Economic and Mathematical Methods and Models (Optimization Methods and Models, Econometrics) – in English, Riskology, Mathematical Model of Transformational Economy, Applied Problems of Modeling Economic Processes.
The author of over 200 scientific papers (USSR, Ukraine, Russia, Bulgaria, Hungary, USA, Italy, France, UK, etc.), 16 educational works as well as co-author of international Russian-Polish-Ukrainian textbook “Riskology”.
More than 85 works are included in the most well-known scientometric databases such as Scopus, Math-Net.Ru (Russia), ZMATH Database (Germany), MathSciNet (USA), etc.
Member of two specialized Scientific Councils for Candidate’s Theses: K08.051.09 (01.05.01 Theoretical Foundations of Computer Science and Cybernetics, 01.05.02 Mathematical Modeling and Computational Methods) and K08.051.06 (01.01.01 Mathematical Analysis) at Oles Gonchar Dnipropetrovsk National University.
Four theses for the degree of Candidate of Physics and Mathematical Sciences, specialty 01.01.01 “Mathematical Analysis” have been prepared and defended under the supervision of S.B. Vakarchuk.
Scientific reviewer of several professional mathematical journals (Ukraine, Hungary, Russia);
Scientific observer of the international abstract journal "Mathematical Reviews" (AMS USA).
In 2012, 2013 was engaged by Thomson Reuters and Times Higher Education Agency as a respondent for ratings of world higher educational institutions.
In 2008 and 2009 within the framework of the International Programme "Development of Population Strategy" with financial support from the United Nations he held a series of lectures on Applied Statistics, intended for employees of the State Statistics Committee of the Republic of Tajikistan.
Repeatedly headed the State Examinations Commission in "Mathematics", "Statistics and Economic Informatics", "Economic Statistics", "Statistics" (DNU).
S.B.Vakarchuk’s biographical data have been published in the "Encyclopedia of Modern Ukraine", in such international biographical reference books as "Who's Who in Science and Engineering" (USA) and "Who's Who in the World" (USA).
Research interests: Theory of functions approximation of one and several variables, extreme problems of approximation theory, computational geometry and its application, applied statistics, riskology, economic and mathematical modeling.
Vyacheslav Kosarev
PhD in Technical Sciences, Professor
Honored Worker of Alfred Nobel University, Academician of Ukrainian Academy of Economic Cybernetics,
The total length of teaching experience is 43 years.
The total number of publications is 118 (including 5 textbooks, 5 monographs, 27 study guides, 78 scientific publications and 3 inventor’s certificates).
Academic Supervisor of state research papers.
Academic Supervisor of Master’s theses.
Regular participant of Ukrainian Association of Economic Cybernetics and scientific and practical conferences.
Teacher of the courses: “Intelligent Systems of Decision-making”, “Information Systems and Technologies in Innovative Activity”, “Management of Informatization Projects”, “Information Security and Data Protection”, “Conceptual support and Strategic Applications in Business Information Technologies”, “Models and Methods of Artificial Intelligence in Economics”.
Olena Zaporozhchenko
Associate Professor
Graduated from Dnipropetrovsk State University (1980) majoring in Applied Mathematics, qualification – mathematician.
In 1990 she defended her thesis in the speciality 01.01.01 – "Mathematical analysis".
Associate Professor of the Department of Higher Mathematics since 1992.
Total scientific-pedagogical experience: 39 years.
Teaches subjects: "Higher Mathematics", "Fundamentals of Discrete Mathematics", "Elements of Mathematical Logic".
The Department of Information Technologies works with students, providing them with fundamental IT, mathematical and economic training.
The training takes place in lecture rooms that are newly equipped and follow programmes which meet modern world standards. The classes are conducted with the use of progressive information technologies.
The department is located in the University’s Centre for Modern Information Technologies. There are six computer labs equipped with computers having the necessary software, which is used for laboratory and practical training, consultation, testing and students' independent work.
The Centre’s rooms for specialised disciplines have multimedia equipment, which is effectively used during the lectures and practical training.
The subjects taught by the department are supported in full with teaching materials, textbooks, lecture notes, which are available to students through electronic media..
The teachers pursue the following goals and objectives while teaching fundamental disciplines:
- to familiarize students with the fundamentals of computer science;
- to develop skills of mathematical research for practical tasks;
- to develop skills of using mathematical models;
- to provide students with the latest computer technologies and packages of applied programmes used in empirical economic research;
- to provide mathematical and information training and knowledge necessary for further study of professional disciplines.
