Department of Basic and Technical Sciences

Head of department: László Komáromi Dr., Ph.D. college professor

E-mail: komaromil (at)
Phone: +36 (1) 203-0304 (ext.: 1250)

E-Learning Science Workshop

Workshop objectives
To contribute through research and development to the increased effectiveness of e-learning, while at the same time improve its methodology and quality. To summarize national and international experience in operating e-learning platforms and to enhance results achieved so far.

Research work

  • MOOCs: practice and accomplishment
  • E-learning tools and environments, student perceptions and learning experience
  • Assessment, validation and performance support in e-learning methods  
  • Innovation and e-learning models
  • Learning in virtual communities and networks
  • Collaborative learning in online environments
  • Accessing LCMS systems via mobile devices
  • E-learning and knowledge management
  • Methodology for electronic testing
  • Economic Issues of e-learning

3D Modelling and Production Science Workshop

Workshop objectives

To develop procedures facilitating the production of single or complex structures with the help of 3D modelling. A specific case is the development of the dragon structure and some electronic board units of unmanned aerial vehicles.

Research work

  • Flying devices used for data collection can have a variety of prices, with huge differences.  DGC researchers have ventured to prove that they are able to create, from limited resources, a mini UAV capable of taking pictures of its surroundings within a one kilometre radius.

Interdisciplinary Applications of Mathematics Science Workshop

Workshop objectives

To develop and implement applications that use different areas of mathematics
The two main areas of research and development:
(A) Educational applications, methodology, participation in projects.   
(B) Flow modelling and analysis.

Research work

  • Research in the field of physical and biological applications of mathematical analysis (mainly differential equations).
  • Development and application of mathematical methods in digital image processing.
  •  Achieving new practical results in probability theory and mathematical statistics, focusing on the fields of reliability and risk theory (e.g. entropy-based risk analysis) and on economic and social sciences.
  • Physical applications: dissipative and non-dissipative thermal processes. Thermodynamic applications. Dynamic systems.
  • Mathematical modelling of logistic processes (A and B).