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PNS0049

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

PNS0049 Experimental Design, 7.5 Credits

Subjects

Biology,Statistics, Computer Science and Systems Science,Technology, Chemistry

Education cycle

Postgraduate level

Grading scale

Pass / Failed

Prior knowledge

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. 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 design

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.

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