Experimental design
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• June 1 for a course that starts in the autumn semester
• November 15 for a course that starts in the spring semester
• April 1 for a course that starts in the summer
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Syllabus:
Matematisk statistik B, Statistisk försöksplanering, 5 poäng
Experimental design
General data
- Code: MSAB03
- Subject/Main field: Mathematical Statistics
- Cycle: B-level
- Credits: 7,5
- Progressive specialization: - - -
- Education area: Naturvetenskap 100%
- Answerable faculty: Faculty of Science, Technology and Media
- Answerable department: Department of Engineering, Physics and Mathematics
- Approved: 2006-02-02
- Version valid from: 2006-01-23
Aim
There is a need for experiments in most research projects. Statistical design of experiments (DoE) is a rational and cost effective approach to practical experimentation that allows the effect of factors to be assessed usingonly the minimum of resources.Most experimental situations involve many factors and responses. One of the main themes of the course is to learn to handle the multivariate experimental situatuion.The student will learn to: create efficient experimental designs to match the objectives, analyse experimental data using sound statistical principles, improve and optimise products and processes
Content
The course has the following parts:* Introduction. How and when should Design of Experiments be used?* Problem formulation, selection of goals, factors, responses, type of model and design* Full factorial designs, the basis of all designs.* Analysis of full factorial designs I: evaluation of raw data, regression analysis and model interpretation* Analysis of full factorials II: fault detection* Screening designs - which factors dominate and what are their optimal ranges* What to do after screening: optimisation of modification of the design.* Optimisation designs, how do we find an optimum or a compromise* Robustness testing - verification that the method or process is robust within the given specifications.
Selection rules and procedures
The selectionprocess is in accordance with the Higher Education Ordinance and the local order of admission.
Grading system
Fail (U), Pass (G), or Pass with distinction (VG)
Course reading
Required literature
- Author: Eriksson L, Johansson E, Kettaneh-Wold N, Wikström C, Wold S
- Title: Design of Experiments. Principles and Applications
- Edition: February 07 2000
- Publisher: Umetrics Academy
- URL: www.umetrics.com