We expect students to join the course several months after starting their PhD allowing them to already have data and some code. This will allow applying the concepts developed to their own data and code.We assume that the students have some experience with programming as one cannot reproduce analyses using a graphical interface but only using code. We’ll try to be as agnostic as possible language wise, but prior exposure of bash/git, Matlab, Python are a plus.
During the course, active participation is expected. In session 1, we'll use padlet to interact with each other (anonymous postings are allowed) and also do group work. In session 2, we use GitHub (that you learn in session 1) and you will be required to share code and review each other’s code. It is recommended to share something you are working on, but if you feel uncomfortable with that, you can prepare something else to be shared/reviewed. In session 3, you must present in front of everybody.
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Publication of new courses All planned PhD courses at the PhD School are visible in the course catalogue. Courses are published regularly.