The design of experiments is all about learning as much as possible from the smallest amount of data. Nowadays, the combination of high-throughput methods to characterize phenotypes and rigorous experimental designs opens up unprecedented opportunities. However, it is very common to see undervalued data and incomplete results due to a lack of implementation of the right designs.
During this course, the fundamentals of determining the effects of given factors or covariates on a phenotypic trait will be given. This includes how to evaluate controlled and uncontrolled variability using the appropriate experimental design. The course is mostly practical-driven and aims to provide the skills to use these methodologies in future professional activities.