The objective of this course is to provide participants with basic knowledge on a) the fundamental aspects of experimental design and b) workflows, platforms and tools to increase reproducibility at all scientific levels.

Topics:

• Why is a clear experimental design important?;
• Key aspects of experimental design;
• Estimation of sample size;
• Why is reproducibility in science important?;
• Working with Github;
• Data processing workflows;
• Notebooks (R and Jupyter);
• Manuscript and data repositories.