Objectives: Provide students with basic workflows, platforms and tools to increase reproducibility at all scientific levels.

Topics: Why reproducibility in science is important; Working with Github; Data processing workflows to maximize reproducibility; Notebooks (R and Jupyter); Manuscript and data repositories.

More information available here.