The success of modern research in many areas of biology, pharmacy and medicine is becoming more and more dependent on the support of suitable computer programmes. Modern lab techniques generate sequence data on a large scale - examples of this are the sequencing of DNA or RNA molecules or the amino acid sequences of proteins - the connection and meaning of which only become clear to scientists with the help of computer-assisted processing. In order to achieve this it has to be possible to save and search for large amounts of data efficiently and to understand the biological/chemical function of the represented molecules and to reproduce this on the computer. The same applies for the functioning of regulatory networks, individual cells or in general all computer-assisted research in natural science. Computer science should support natural scientific research by means of imaging, simulations or predictions (for example the topology of a molecule or active substance) as well as allowing the efficient recovery of known information in the rapidly growing databases.
In addition to profound knowledge in computer science, graduates who want to work in this area require knowledge in biology and chemistry as well as a solid mathematical background. In accordance with this the degree is offered in cooperation with the Departments of Biology, Chemistry and Mathematics. About two thirds of the degree is in computer science and about one third of the courses are in the cooperating departments.
Bachelor degree course
The main focus of the bachelor course is core computer science and mathematics. As a computer is essentially no longer a particularly efficient calculating machine, imaging, simulation or predictions of natural scientific applications are ultimately based on mathematical models. These can be discrete (for example graphs) or continuous, or can be based on stochastic estimates. Necessary mathematical skills are an essential basis and are also a part of the bachelor course. The computer science lectures and seminars are a part of the degree course Computer Science. The focus here is on software development and basics such as efficient algorithms and data structures.
Master´s Course of Studies "Computer Science"
In the master degree course there is a wide choice of courses from the area computer science and from the area of application computer science in life sciences. In addition there are courses in biology and chemistry to improve natural scientific knowledge. Students can choose courses from the list of courses offered according to their own interests. Together with the student's mentor the offer of courses can be adapted further to suit the needs of the student.
Any more questions?
If you have any more questions about the course please don't hesitate to contact us. Please see the below contacts in the department.
Prof. Dr. Markus Nebel | |
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Gebäude 48, Raum 655 | |
Sprechstunde nach Vereinbarung | |
Tel.: | 0631/205-2509 |
E-Mail: | wwwagak@cs.uni-kl.de |
General degree support and advice
Dr. habil. Bernd Schürmann | |
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Gebäude 48, Raum 373 | |
Sprechstunde nach Vereinbarung | |
Tel.: | 0631/205-2507 |
E-Mail: | bernd.schuermann@cs.rptu.de |