Research Activities / Projects

Computer Science department's research activities / projects you can find on the webpages of our professors:

Prof. Bikker:
Embedded Systems / Electric mobility
Latest: secuRIn

Prof. Höppner:
Data analysis / Data Mining

Prof. Gerndt:
Robotics
Latest: KoMMa.G

Prof. Jensen:
e-Learning
Latest: eCULT

Prof. Justen:
Real-time simulation

Prof. Klawonn:
Biostatistics

Prof. Müller:
Latest: ValTrac

Prof. Riegler:
MINT university teaching methodology,
computer aided assessments
Latest: VITA

Prof. Schiering:
Networks
Latest: secuRIn

 

More project aktivities:

 

Some projects in detail

Data Mining

Collection of large amounts of data is often used in all areas of science, manufacturing, economics and management. People need the right data analysis techniques to extract the relevant information from the original data.

E-Learning

The internet provides global information, which provides a new possibility for people to gain knowledge anytime, anywhere.

Computer Aided Assessments

The VITA Project seeks to strengthen the practice component in learning through computer support.  Computer-assisted practice tasks have been used since Fall/Winter 2006/2007 at the University Braunschweig/Wolfenbüttel in various course offerings in diverse departments. The current focus in in the areas of mathematics and the natural sciences, i.e., primarily in MINT subjects.

eCULT

eCULT stands for "eCompetence and Utilities for Learners and Teachers". The computer department also participates in this project. From October 1, 2011, the University of Ostfalia invests about a million euros in ten years to introduce innovative educational and programming education.

RoboCup

RoboCup was established in 1995; 1997, the first robot World Cup competition held in Japan. The ultimate goal of the project is to 2050, the development of completely independent humanoid robots, to win the title of the human football world. This complex idea challenges all college students.

OstfaliaCup

The OstfaliaCup project is developing an autonomously controlled vehicle on a 1:10 scale. The vehicle is capable of track and object recognition with the help of camera and sensors that allow for barrier and crossing recognition, as well as parking navigation. The broadly conceived project offers students from all departments work on an interdisciplinary task.