Educational And Scientific

Data Science Laboratory

Created

The research laboratory of software for automated systems was created in 1993. The modern name Educational and Scientific Data Science Laboratory was received according to the decision of the meeting of the department of PI dated September 01, 2020.

Head of the laboratory

Head of the Department of Software Engineering, Member of Academic Council, Deputy Head of the Section 3 of EMC, Member of STC, Candidate of Science (Technology), Professor Zoia Dudar.

Main directions of research

The Laboratory fulfils the research in the following areas: data mining, artificial intelligence, mathematical modeling of intelligent processes, Big Data, Data Science and the development of intelligent software systems.

Employees

  • candidate of science, prof. Lesna N., professor of software engineering department
  • doctor of Technical Sciences, Professor  Smelyakov K., professor of software engineering department
  • candidate of science, assoc. prof. Revenchuk I., assoc. prof. of software engineering department
  • candidate of science, assoc. prof. Chupryna A., assoc. prof. of software engineering department
  • Skovorodnikova V., senior lecturer of software engineering department
  • candidate of science, assoc. prof. Vorochek O., assoc. prof. of software engineering department
  • candidate of science, assoc. prof. Melnikova R., assoc. prof. of software engineering department
  • Zybina K., assistant of software engineering department
  • Onyshchenko K., assistant of software engineering department

Education and Science

Data Science Laboratory № 240 belongs to Software Engineering Department.

The Department of Software Engineering trains students in three levels of higher education (121 speciality):

– Bachelor’s degree in Software Engineering (educational program – Software Engineering);

– Master’s Degree in Software Engineering (educational programs – Software Engineering and Systems Software);

– and Ph.D. in Software Engineering.

Curricula are consistent with international standards for training programmers.

Main scientific achievements

Projects

Publications

Scientific seminars

Within the laboratory, scientific seminars in the field of Data Science are held.

Contacts

Main building, room № 240, zoia.dudar@nure.ua

On the website of the university

Educational and Scientific Data Science Laboratory

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