Event: A workshop dedicated to equipping you with the knowledge and skills to effectively tackle intricate issues through the application of Design of Experiments methodology
In an exciting development for the scientific and engineering community, a three-part workshop is being offered to help professionals make their experimentation more efficient and effective. This workshop, facilitated using JMP's Statistical Discovery Software, is designed to expand existing knowledge of Design of Experiments (DOE) concepts and goes beyond classical factorial and fractional factorial designs.
The workshop, led by experts Marco Salfi and Owen Jonathan, is intended for those who wish to maximise insight when time is a variable or when there are curve responses. Participants will learn unique methods for optimizing experiments, including optimal designs tailored to practical constraints of a process or system, and sequential approaches to experimentation, such as Bayesian optimisation.
Before diving into the three-part series, it is strongly recommended that participants first learn the basics of DOE. To that end, the organisers have made available an on-demand workshop, 'Getting started with Design of Experiments', which provides a solid foundation for the more advanced topics covered in the main workshop.
During the workshop, JMP experts will provide real-time assistance, ensuring that participants get the most out of their learning experience. The first part of the workshop focuses on Optimal/Custom Designs, including a recap of basic DOE designs, a case study example, an introduction to optimality criteria, and resources for further learning.
The exact institution offering this workshop was not identified in the provided search results, but it promises to be an invaluable opportunity for those seeking to improve their experimental design skills and take their work to the next level. Stay tuned for more updates on this exciting event!
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