“Mastering Designs of Experiments: Free Three-Day Online Training Program”

2023-04-24 08:40:35

Despite rapid advances in the complexity and scope of research techniques, most experiments are still conducted the same way: manually and “one factor at a time”. A new approach is needed to arrive at relevant scientific knowledge more quickly. Join our free three-day online training program on Designs of Experiments, June 6, 7, and 8.

Plans of experiments (DOE for Design of Experiments) are a method for determining the relationship between factors influencing a process and its outcome. There are usually many factors that can have an effect, and it is crucial to manipulate them together, not one at a time.

Engineering Techniques and JMP have developed a webinar program over three days to give you the opportunity to discover and better understand the experimental designs. We are pleased to offer this offer free.

The online training will take place from June 6 to 8 and will consist of one hour of interactive webinar each day. It will entitle you to a certificate which will constitute a serious asset for your CV.

In this series d’workshops, we will present inspiring examples of the use of DOEs in many aspects of bringing products to market, including design, discovery, product and process development, scale, the transfer or even the development of analytical methods. We’ll also provide you with the know-how and resources you’ll need to get started with design of experiments.

FREE REGISTRATION

At the end of this workshop, you will have learned:

  • Why Design of Experiments offers a faster, more predictable, and more informed way to learn than other experimentation approaches.
  • The most common DOE terminology and types.
  • How to design, analyze and present the results of your first DOEs.

The workshop will give you the opportunity to deepen what you have learned and gain guidance through hands-on exercises and Q&As so you can get started with your first DOEs.

This three-part workshop has been designed to provide the know-how and resources that scientists and engineers need to become familiar with design of experiments.



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