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. The second introduces data science to life scientist. The third covers algorithmic and machine learning topics central to computational biology.
We make use of several bioinformatic and computational biology tools.
For graduate students, the course has a small project.
There are 5 assignments.