Goos, Peter

For over more than a century, statistical thinking has proven to be extremely valuable in many fields of human endeavor. The statistical analysis of observational data and the use of designed experiments are corner stones of the scientific method. They should therefore be key tools in engineers’ toolbox. Given the increasing availability of large data sets and the fact that modern products and processes are more and more complex, the need for engineers with strong statistical skills, predictive modelling capabilities and expertise in design of experiments will increase dramatically in the near future. It is the duty of engineering academics to ensure that engineering curricula prepare future engineers for the new challenges ahead, connecting statistics, data science and design of experiments with engineering applications.

In this seminar, Peter Goos discussed best practices, resources and enabling software teaching statistics, data science and design of experiments. Considering five different scenarios, Peter presented how a modern stats curriculum can deliver better solvers of real-world engineering problems. You can watch the recording and download the presentation, just fill the form on the right. For any question or discussion about JMP’s academic support, please meet the JMP team at the SEFI2019 exhibition.

Quote (approved by Carlos) – feel free to add: “Excellent work! A very good presentation. In addition, I was in my office with a fellow professor of statistics when I got the email (about the webinar), and of course, he was delighted.”
Prof. Dr. Carlos Rioja del Rio, Escuela Superior de Ingenieria – University of Cádiz (ESI), Spain, manager of the SEFI working group for curriculum development.?

Any question, or interested in a remote demo or free on-site workshops? Talk to the JMP Academic Team at the SEFI2019 exhibition or email to volker.kraft@JMP.com

Register now for this free webinar.

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