Experimental Design (DoE)
Experimental Design presents a smart, structured and effective methodology for designing and conducting experimental plans and analyzing experimental results. The course introduces Classical experimental strategies and their relevance to Formulations type
- Introduction to experimental design
- Questions experimental design can answer
- Classical experimental strategies / Why is experimental design useful?
- Principles of experimental design
- Problem formulation; which design type to use
- Screening designs: types, purposes and principles
- Optimizations designs: types, purposes and principles
- Analysis of screening designs: main effects, interactions, ANOVA
- Analysis of optimization designs: main effects, interactions, square effects, response surface ANOVA
- Response surface modeling and interpretation
- Developing an effective strategy from screening to optimization
- How to integrate experimental design in a global multivariate strategy
- Constrained designs: D-optimal and mixture designs
- How to recognize a constrained experimental situation
- Building constrained designs
- Results interpretation.
Who should participate in this program?
Our courses are addressed to all scientists and
engineers who collect and analyze data e.g. within
quality control, process analysis, R&D,
spectroscopy... or anyone confronted with situations
where the understanding of multivariable
relationships is central.
Prior knowledge of The Unscrambler is
not required to attend our courses.
- The number of seats for the course is limited to 12
- Deadline for registrations: 3 weeks before the course-start
- Participants are required to bring their own Laptop.
Find a Experimental Design (DoE) training course near you
|Experimental Design (DoE)
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