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PFS0169
Experimental Design
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.
Syllabus and other information
Syllabus
PFS0169 Experimental Design, 4.0 Credits
Subjects
BiologyEducation cycle
Postgraduate levelGrading scale
Pass / Failed
Prior knowledge
MsC or PhD students in biology, chemistry, forestry, engineering, energy scienceObjectives
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. After the course the students will be able to: -determine important factors and responses for natural and industrial systems -construct a worksheet containing planed experiments in the selected factors -calculate a regression model and study its diagnostics -carry out screening and optimization -construct response surfaces and use them for optimization -use software for experimental designContent
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.Additional information
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.Responsible department
Department of Forest Biomaterials and Technology