Course takes place on 15-16th of September and 6th of October 2026 at the Faculty of Pharmaceutical Sciences (Ottergemsesteenweg 460, B-9000, Ghent).
The DoE training is hands-on and designed for individuals who want to actively engage in Experimental Design and gain a better understanding of the statistical analysis of experimental data.
The course emphasizes the Optimal Design of Experiments, matching the experimental design to the problem while considering all experimental boundary conditions and constraints. Optimal DoE is computer-aided, meaning experiment runs and regression models are generated by computer algorithms; the software package used is JMP. The topics are illustrated through case studies and examples from industrial R&D, making the training particularly relevant for professionals in that field.
The course begins by covering the necessary theory, including basic training in linear multiple regression analysis for analyzing experimental data and establishing statistical process models needed for parameter screening and optimization. JMP software package will be introduced, and simple cases will be reviewed to describe the basic DOE approach. Next, more complex examples with specific experimental conditions are covered. In each of the case studies, the goal is to improve the performance of a process or product through efficient exploration and optimization. On the last day of the course, time is set aside to address any questions related to participant’s own use-cases.
Instructors: Frank Deruyck & Volker KraftRegistration is possible up to one week before the day of the respective session.
Registrations can only be cancelled by email. Cancellations earlier than 2 weeks before the course start will be fully refunded. In case the cancellation occurs later than two weeks before, but earlier than one week before the start of the course, half of the registration fee will still be due. In case of cancellation less than one week before the start of the course, the full registration fee will still be due. For UGent PhD students, the price of the registration fees for the Academic (UGent postdoc or professor) category will be considered when calculating the cancellations fees.
The organization reserves the right to reschedule or cancel the training in case of insufficient number of participants.
Faculty Pharmaceutical Sciences - Seminar room 3 (Alexander Fleming)
Faculty Pharmaceutical Sciences - Seminar room 1 (Rosalyn Yalow)
Faculteit Farmaceutische Wetenschappen