This course takes place on 15-16th of September and 6th of October 2026 at the Faculty of Pharmaceutical Sciences.
COURSE OVERVIEW
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 is divided into three lecture, each lasting 6 hours. 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.
Target audience
The target audience is professionals or students in chemical, pharmaceutical & healthcare sciences and engineering.
Pricing (for full 3-day course)
- Industry (non CESPE member): 1700.- EUR
- Industry (CESPE member): 1200.- EUR
- Academic (non-UGent): 850.- EUR
- Academic (UGent postdoc or professor): 700.- EUR
- Academic (UGent PhD student): Free
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. UGent PhD students can attend this course for free! If you have any questions please email CESPE@UGent.be.