Select Page


In 1966, a Department named “Fundamentals of Automation” was allocated from the Department of Automation of Production Processes.

The main subjects taught at that time were “Fundamentals of Automation”, “Computing Technology”, “Computational Mathematics” and “Simulation of Chemical and Technological Processes”. This was a period of rapid development of algorithmic languages, the emergence of a new generation of computing technology, and therefore there was a need to change priorities in the teaching of disciplines and scientific activities of the department. All this led to the fact that in 1983 the department was reorganized again, but the title remained old – “Fundamentals of Automation”. The head of the Department was the candidate of technical sciences, associate professor Y.G. Ions

In 1984, the Department of Fundamentals of Automation was renamed the Department of Computer Science and Applied Mathematics. The Department was headed by the candidate of physical and mathematical sciences, associate professor M.F. Ohganskyi.

In 1999, the Department was divided into two departments: “Information technologies and cybernetics”, which was headed by associate professor M.F. Ohgdanskyi and “Computing Engineering and Applied Mathematics”, which was headed by senior teacher S.I. Kulikov.

Since 2005 and till now, the head of the Department of Computer Science and Applied Mathematics is an associate professor, Ph.D Svitlana Anatoliivna Volkova.

Teachers of the Department lectures on the following disciplines:

computational mathematics and programming;

  • Computer Science;
  • informatics and systemology;
  • informatics and information technologies;
  • information technologies in engineering calculations of the branch;
  • the basics of information technologies and programming;
  • computational mathematics, programming and calculations on a computer;
  • web design.

The main purpose of studying these disciplines is to master the skills of work on modern computer technology, the development of algorithmic thinking, mastering the development of programs of computational processes in high-level algorithmic languages, assimilation of methods of computational mathematics for solving applied problems of chemical and technological processes.