Fachbereich 3: Mathematik / Naturwissenschaften

Mathematisches Institut

top group

middle group

bottom group

not grouped

Basic information

Total number of students	70
Number of master degree students	65

Total score for support in the study entry phase

6/14 points

Graduations in appropriate time, undergraduate degrees	no graduates at the time of data collection
Graduations in appropriate time, master's	no graduates in the surveyed period

International orientation, bachelor's	3/9 points
International orientation, master's	8/9 points

Third party funds per academic	not calculated because mainly teacher qualification courses
Doctorates per professor	mainly teacher qualification

Teacher support	no survey
Support in studies	no survey
Courses offered	no survey
Study organisation	no survey
Exams	no survey
Transition to Master's studies	no survey
Research orientation	no survey
Job market preparation	no survey
Support for stays abroad	no survey
Rooms	no survey
Library	no survey
IT-infrastructure	no survey
Overall study situation	no survey

Teacher qualification students	870
Teacher qualification programmes	teacher qualification degree courses are offered
Teacher qualification centre	Link
Teacher Qualification Monitor (in German)	Link

Further degree courses of the department

none

Further information about study entry phase
https://www.uni-koblenz-landau.de/de/studium/vor-dem-studium
Special features regarding the equipment
Meeting room with video conferencing; Computer lab.
Website with further information on research activities
www.uni-koblenz-landau.de/de/koblenz/fb3/mathe/forschung
Other special features
Mathematics in Koblenz is characterised by a close linking of specialised studies and didactics. Key areas of research and teaching lie in the fields of Simulation and Optimisation and Materials Education and Mathematical Modelling. In the teacher training course, the combination of applied mathematical problems with modern didactic methods guarantees optimum preparation for working in schools. The modelling, simulation and optimisation of complex systems in the non-teacher training courses of study prepares students for practice in research and application.