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- Introduction to Python scripting
- Introduction to the Unix shell and usage of cluster resources
- Version control with git and github
- Unit testing
Computation is an integral part of today's research as data has grown too large or too complex to be analysed by hand. An ever growing fraction of science is performed computationally and many wet-lab biologists spend part of their time on the computer. Many scientists struggle with this aspect of research as they have not been properly trained in the necessary set of skills. The result is that too much time is spent using inefficient tools when progress could be faster.
Who should apply?
This is a course for researchers in the life sciences who are using computers for their analyses, even if not full time. The target student will know a little bit of computer usage, but not consider himself an expert. A target student will have written a for loop in some language before, but will not know what git is (or at least not be very comfortable with advanced git usage).