This course (e-learning module followed by workshop) equips doctoral students with knowledge and tools to recognize, discuss and address ethical issues of their research.

This course offers a practical introduction to the fundamentals of data analysis and R

The course offers an introduction to graphical models and their application to complex biological systems. Graphical models combine a statistical methodology with efficient algorithms for inference in settings of high dimension and uncertainty. The unifying graphical model framework is developed and used to examine several classical and topical computational biology methods.