More about the goals of the course can be found in overview.
The syllabus is divided into 3 modules. The first covers basic programming in R with focus on techniques often used in life science studies. The second introduces data science to life scientists. This includes descriptive statistics, visualization and statistical test. The third covers algorithms and topics from machine learning central to computational biology. This year we will have a focus on deep learning .
We make use of several bioinformatic and computational biology tools.
For graduate students, the course has a small project.
There are 5 assignments.