Utilization of Current Design of Experiments (DoE) Methodologies
In an exciting three-part online training programme, participants will delve into the intricacies of Design of Experiments (DoE), a powerful methodology that can significantly enhance scientific and engineering solutions. Led by JMP's experts, this programme offers a comprehensive introduction to DoE, complemented by hands-on exercises using JMP's statistical discovery software.
On the first day, attendees will be introduced to the fundamentals of Design of Experiments, with example case studies illustrating its importance. This foundational knowledge will pave the way for a deeper understanding of the subject matter.
Day 2 of the programme will introduce the state-of-the-art capabilities of modern DoE, including the use of Functional Data Analysis for curve analysis. Participants will be provided with homework to reinforce their learning.
The third and final day of the programme will showcase applications of modern DoE methods, offering inspirational examples of the use of DoE in various aspects of bringing products to market.
Attending all three webinars will result in receiving a certificate. The programme is led by Xi Wu, a PhD candidate in theoretical physics in Berlin with a focus on solid state physics and quantum chaos, and Yang Xiyu, a project manager at the International Office of the University of Applied Sciences Potsdam and trainer for intercultural competence.
Modern DoE offers a rich landscape of tools and capabilities for experimental design. Using DoE can help deliver results faster and more efficiently, saving time and money, and providing a competitive edge. Participants will learn how to build better, cheaper solutions and how to reduce total experimental effort by 50% or more.
The training programme also serves as supporting evidence for a Chartered Chemist (CChem) application. Modern screening designs help identify important factors more efficiently, making DoE an invaluable tool for scientists and engineers.
The best way to learn DoE is by getting started in applying it. The programme provides a solid theoretical understanding of Design of Experiments, complemented by hands-on exercises using JMP's statistical discovery software.
Join us for this free, three-part online training programme and unlock the potential of Design of Experiments to revolutionise your scientific and engineering projects.
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