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.

Prerequisites

• 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.