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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

Specific Issues:

  • 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.

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