Head of department: László Komáromi Dr., Ph.D., college professor
E-mail: komaromil (at) gdf.hu
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).