Welcome! This is the course website for Targeted Learning in Biomedical Big Data, offered in the Spring 2018 semester at UC Berkeley.
The schedule of video lectures and content is publicly available here.
Our first lab for Targeted Learning in Biomedical Big Data is a simple introduction to computationally reproducible research with R, git, and GitHub. We’ll discuss the importance of computational reproducibility and set some standards for how these principles apply to the work we’ll do in this class.
The above resources provide a mechanism to remedy any deficiencies that may be present in background knowledge on scientific computing. You may wish to consult them regularly as the course progresses.
For our second lab, we’ll continue our discussion of computationally reproducible research and further explore the simple toolbox at which we’ve already started to take a look.