The course is designed to provide graduate students in the biomedical sciences with experience in the application of basic statistical analysis techniques to a variety of biological problems. Please see Program for details.
Attendees will work through short tutorial on the topics discussed
in the class. During the practical exercises students will learn how to work with the widely used "R" language and environment for statistical computing and graphics.
The course participants are also strongly encouraged to submit in advance any real-world questions (and the relevant data) that they may have; problems which fit the workshop's goals and are of broad interest will be used as examples in order to make the course more concrete. More advanced problems might be discussed with the teachers during the exercise session.
No particular prerequisite are required for this course. However, we strongly suggest you to get familiar with the R statistical analysis package prior attending the course to avoid spending too much time during the practical exercises with the syntax of the program. You could either read some documentations to get a feel for the R language or (even better) download the program locally on your computer and try some simple examples present in the tutorials:
Please find here some useful links:
- R main site (with information how to dowload and install the program)
- R Contributed documentations
- Introduction to R
- Some additional R examples will be posted here soon:
Short tutorial [ppt] [worms.txt]
Registration and Fee
The course was held from March 5 to March 9 ,
The registration fee for academics is 100 CHF.
The final schedule will be available here.
Location, housing and transportation