The course deals with an introduction to statistics and basics of good experimental design. Amongst others, the principle of the three R’s are discussed; Replication, Randomization, and Reducing noise factors. Furthermore, specific experimental design are being discussed (e.g., CRD, RCBD, split-plot design, mixed models, Latin-squares, etc.). Finally, participants apply what they learn in the course to their own specific case(s) and discuss this in small groups.

Former occurrences of this course

• 19-21 December 2018
• 23-25 May 2018
• 20-22 December 2017
• 19-23 May 2017
• 19-21 December 2016