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The Faculty of Computer Science is a very research-oriented faculty. Current applied computer science research topics are carried out through public and private third party funding streams. Both master's programmes are involved in our innovative R&D projects. At the Faculty of Computer Science there are currently four work groups researching in the following areas:

  • Software Engineering
  • IT Security
  • Cloud Computing
  • Technologies for Big Data Applications

High Performance Cluster for Big Data applications

The Faculty of Computer Science has developed a scalable system in which various standard software components work on a common application with real data. Since the beginning of 2013, teaching staff and students have had at their disposal for this, a powerful high performance cluster (HPC) for comprehensive data analyses. In past semesters several bachelor's and master's theses, some of them excellent, have already been produced. In his prize-winning thesis "Analysis and implementation of a big data architecture on a computer cluster", Tim Schmiedl developed the Lioncub platform. Besides the basic technology Apache Hadoop, the distributed databank system HBase and the streaming framework Storm are also used.

As a powerful reference platform for big data technologes, Lioncub is being continually expanded and optimized in the Faculty. Currently the Lioncub platform administers over one million articles from social networks and news portals, made available over a web interface. Upon entering a keyword, the documents are searched and results are shown within only a few seconds in the form of diagrams or URL lists. However this application is not the core purpose of Lioncub. Far more important is the use of Lioncub as a research platform for the Faculty for innovative software from the big data environment. With relatively little effort it is possible to implement other applications. For example, data from the CAN-Bus from cars can be read and with the help of Lioncub, comparative conclusions on the driving behaviour of the drivers can be drawn.

The Faculty will continue to expand the HPC in the coming years; a first expansion is currently taking place. The HPC offers great potential for teaching and research. It can be assumed that big data will not only have deep-reaching effects on product development, company processes and science, but also on our society as a whole.

Find out more about the research work of our Faculty here.