Our regular bioinformatics research seminar features presentations of original research, invited speakers, and paper reading sessions. Please contact Peter Sykacek to be put on our mailing list for seminar announcements. Peter also maintains a list of past and upcoming talks.

We are collaborating with other universities in Vienna on establishing a new M.Sc. program, introducing a rigorously interdisciplinary approach to Bioinformatics. Please contact us if you are interested in joining the program as one of its first students.

Members of the group have been teaching at university level and as part of international conferences for several years. Here at Boku, we lecture a variety of courses. Due to the nature of our field, all our teaching is in English.

• We offer a one week block tutorial on microarray data analysis. Due to demand, this is offered both in January and in June. Places are limited, so please register early. The tutorial forms the elective course Bioinformatics, selected aspects (793.306).
• A special optional elective course introduces a microarray data analysis package that reduces the need for programming, Efficient Microarray Data Analysis Using R and FSPMA. (793.403 | course materials)
• We run an elective course on Bayesian Data Analysis in the Life Sciences, which comprises a mix of tought lessions, pencil and paper exercieses, and hands-on data analysis in the computer lab. (793.402 | course materials)
• We also offer an optional elective course providing an introduction to data analysis, Machine Learning and Pattern Recognition for Bioinformatics. (793.404 | course materials)
• We contribute introductions to Bioinformatics and Data Analysis as part of the compulsory Computational Mathematics and Bioinformatics lecture course (851.305).

Formal note: optional elective = Freifach, elective = Wahlfreifach.

Term times

The university provides a full term schedule (in German).