Course takes place on 29th and 30th of April, and 6th of May 2026 at the Faculty of Pharmaceutical Sciences (Ottergemsesteenweg 460, B-9000, Ghent).
COURSE OVERVIEW
Design of experiments, or DOE, is a key tool for product and process improvement and innovation in pharmaceutical domain. This course motivates the standard and routine use of a fully flexible approach to the design of experiments, named optimal design of experiments, by showing its industrial application in a variety of case studies covering a wide range of practical situations. The increasing computing power has made optimal experimental design a key tool for scientists and researchers in the 21st century.
The course will cover completely randomized experiments, blocked experiments and split-plot types of experiments, applied to screening experiments and response surfaces experiments. This training will conclude with a discussion of definitive screening designs and OMARS designs, which allow an efficient combination of screening and response surface experimentation. Throughout the course, the introduction of new theoretical concepts, demonstrations with the JMP software and exercises are intertwined.
All sessions will be taught by Peter Goos. Peter Goos is a full professor at the Faculty of Bio-Science Engineering of the University of Leuven and at the Faculty of Business and Economics of the University of Antwerp, where he teaches various introductory courses on statistics and probability. His main research area is the statistical design and analysis of experiments. Besides a number of articles in top scientific journals in marketing, transportation, quality, operations research and statistics, Peter published numerous books and received the Brumbaugh Award, the Youden Award, the Shewell Award and the Lloyd S. Nelson Award of the American Society for Quality, the Ziegel Award and the Statistics in Chemistry Award from the American Statistical Association, and the Young Statistician Award of the European Network for Business and Industrial Statistics.
Target audience
The target audience is professionals, researchers, and PhD students in chemical, pharmaceutical, and healthcare sciences and engineering who wish to enhance their understanding and application of optimized experimental design.
COURSE PROGRAMME
A detailed overview of the different modules can be found in the following document.
Registrations are open for this course, please follow the ‘REGISTER HERE‘ link above for further details, including registration fees. If you have any questions please email Mark Gontsarik (mark.gontsarik@ugent.be).