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Workshop: Your guide to solving complex problems by mastering Design of Experiments
Mastery of the fundamentals of statistical design and analysis of experiments enables you to ensure effectiveness and efficiency in your empirical learning across a range of science and engineering situations – but you may soon have questions about how to solve more complex problems using Design of Experiments (DOE).
In this workshop, you will learn about designs that go beyond classical factorial and fractional factorial designs and explore how optimal designs can be tailored to the practical constraints of your process or system.
You will have the opportunity to discover unique methods for maximising your insight when time is a variable or when you have curve responses. You will also learn more about sequential approaches to experimentation, including newer approaches like Bayesian optimisation.
This three-part series is intended to expand existing knowledge of DOE concepts. Participants are encouraged to first learn the basics of DOE by registering for the on-demand workshop ‘Getting Started with Design of Experiments’.
Programme benefits
This three-part workshop – has been designed for scientists and engineers who want to make their experimentation more efficient and effective. Follow along in your own time with JMP’s Statistical Discovery Software and give your learning a valuable boost.
Support when and where you need it
JMP experts know DOE and have years of experience putting these techniques into practice. During the workshop, the JMP team provide real-time assistance to attendees, giving answers to the most popular questions. You’ll see the theory in the workshop – then it’s up to you to test it out.
Give your CV something to shout about!
Nothing beats hands-on experience, and you’ll get plenty of that in this course, where you’ll learn from a number of case studies, chosen for their effectiveness at communicating the grounding principles and fine details. By attending all three webinar sessions, or watching them on-demand after the live broadcast, you’ll be eligible for a certificate.
In this workshop, you will learn about designs that go beyond classical factorial and fractional factorial designs and explore how optimal designs can be tailored to the practical constraints of your process or system.
You will have the opportunity to discover unique methods for maximising your insight when time is a variable or when you have curve responses. You will also learn more about sequential approaches to experimentation, including newer approaches like Bayesian optimisation.
This three-part series is intended to expand existing knowledge of DOE concepts. Participants are encouraged to first learn the basics of DOE by registering for the on-demand workshop ‘Getting Started with Design of Experiments’.
Programme benefits
This three-part workshop – has been designed for scientists and engineers who want to make their experimentation more efficient and effective. Follow along in your own time with JMP’s Statistical Discovery Software and give your learning a valuable boost.
Support when and where you need it
JMP experts know DOE and have years of experience putting these techniques into practice. During the workshop, the JMP team provide real-time assistance to attendees, giving answers to the most popular questions. You’ll see the theory in the workshop – then it’s up to you to test it out.
Give your CV something to shout about!
Nothing beats hands-on experience, and you’ll get plenty of that in this course, where you’ll learn from a number of case studies, chosen for their effectiveness at communicating the grounding principles and fine details. By attending all three webinar sessions, or watching them on-demand after the live broadcast, you’ll be eligible for a certificate.
Free