Subject: Experimental design, optimization, sampling
Course type: PhD courseLanguage: Swedish/English depending on students
Points: 7.5 or 15, see below
Prerequisites: MsC or PhD students in biology, chemistry, forestry, engineering, energy science
Objectives: The course aims to give basic knowledge needed for selecting and analyzing an appropriate experimental design that with minimal experimental cost can provide maximum knowledge about a system. Standard examples from handbooks are used to introduce practical aspects and lead to an understanding of the more advanced research examples. It is possible for the students to take the full 15 points course or to stop after 7.5 points.
Content: Statistics and distributions, analysis of variance, regression modeling, factorial and fractional factorial designs, other screening designs, response surface designs, D-optimality, mixture designs, blocking, multiple responses, sampling considerations, advanced topics.
This is a self-study course. The lecture/exercise/discussion sessions are concentrated in blocks and between the blocks reading and calculation assignments are given. Experienced guest lecturers will be used for some topics.
Examination: oral examination
Standard handbooks:
1) L. Eriksson, E. Johansson, N. Kettaneh-Wold, C. Wikström & S. Wold, Design of Experiments, Principles and Applications 3rd ed. , Umetrics Academy, MKS Umetrics, Umeå, 2008. For 7.5 ECTS
2) R. Meyers & D. Montgomery, Response Surface Methodology. Proces and Product Optimization uisng Designed Experiments 2nd ed. , Wiley, New York, 2002. For 15 ECTS