ENBIS-17 in Naples
9 – 14 September 2017; Naples (Italy)
Abstract submission: 21 November 2016 – 10 May 2017
Special Session: Teaching Statistics in Industry
12 September 2017, 15:40 – 16:40
- Submitted by
- Birger Madsen
- Birger Madsen (Novozymes), Jacqueline Asscher (Kinneret College on the Sea of Galilee)
- This special “interactive” session will discuss the statistical concepts and tools needed in industry in a first talk, how to teach them, in a second talk, and allow time for discussion and debate.
Talk 1. Birger Stjernholm Madsen (Novozymes)
What do people in industry need to know about statistics? This depends on the type of employee: Engineer/Scientist, Technician, Administrative staff, Operator. Also, on which part of the organisation: R&D, Production, Quality Control, Administrative areas. Which topics do they need to learn, on what level of understanding, e.g. understanding of mathematical formula vs. interpretation of output? Are there any topics that should be left out, or emphasized more respectively less than in traditional teaching?
Talk 2. Jacqueline Asscher (Kinneret College on the Sea of Galilee)
Teaching methods for engaging industry courses that enable participants to use the tools being taught will be presented. The focus is on active learning, where participants use methods, discuss issues and make decisions, and on experiential learning, where we create a lovely world where useful information is organized in nice tables and graphs, and participants have the experience of working in this world, inspiring them to want to learn the tools they need to create it. Tools include: a variety of classroom exercises based on real case studies; exercises using simulators; real physical experiments; demonstrations and exercises using statistical software. A list of issues that the statistician giving the course should consider is shared.
In the second part of the session some challenges and controversial issues will be posed to the audience. For instance: Suggest "what" and "how" for a 3 hour presentation on statistics for process operators! And for a 2 day introduction to statistics for engineers! Is it better to standardize the analysis procedures and force people to follow them, or to just convey the concepts and the tools to enable a proper analysis?
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