ENBIS-20 Online Conference

28 September – 1 October 2020; Online

Active Session by Sonja Kuhnt and Shirley Coleman on 'Hands on Projects for Teaching DoE'

29 September 2020, 17:00 – 18:00



Sonja Kuhnt, PhD, Professor of Mathematical Statistics at FH Dortmund University of Applied Sciences and Arts, Germany

Shirley Coleman, PhD, Technical Director at Industrial Statistics Research Unit, Newcastle University, UK

About the Session:

Are you interested in case studies and real-world problems for active learning of statistics? Then come and join us in this interactive session organised by the SIG Statistics in Practice. A famous project for students to apply the acquired knowledge of design of experiments is Box's paper helicopter. Although being quite simple and cheap to build, it covers various aspects of DoE. Beyond this, what other possible DoE projects are realistic in a teaching environment? What are your experiences in using them? Can we think of new ones? There are lots of ideas we could explore, involving more complex scenarios like time series dependents with cross overs, functional data analysis, as well as mixture experiments. We want to share projects, discuss pitfalls and successes and search our mind for new ideas. Come and join us for this session. You may just listen, enjoy and hopefully contribute to the discussion or even share a project idea. Please send an email to Sonja or Shirley if you have a hands-on project and are willing to share it with us. The project should be doable within 2-3 teaching lessons and affordable material. If selected, we ask you to introduce the case during the session briefly (5 minute maximum). You can do it either live or via a recorded mini-presentation.


Sonja Kuhnt is a professor of mathematical statistics in the department of computer science at FH Dortmund University of Applied Sciences and Arts. She received her doctoral degree and habilitation in Statistics from TU Dortmund University. Her research interests include the design and analysis of real and computer experiments, categorical data analysis and robust statistics. She serves the statistical community in her function as director of ENBIS and by being an associate editor of CSDA and Statistical Papers.

Shirley Coleman is a Technical Director in the School of Mathematics, Statistics and Physics at Newcastle University. She received her doctoral degree in computer graphics, statistics and morphometry from Newcastle University. Her research interests include the design and analysis of experiments to tackle real challenges and find workable solutions in marine and healthcare sectors, process and manufacturing industry and digital marketing. She serves the statistical community in her function as an Honorary Officer of the Royal Statistical Society, a past president of ENBIS and contributor to academic journals and popular press.

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