Design of Experiments (DoE) consists of a panel of chemometric procedures and algorithms aimed at planning the experimental work in a rational way, which means projecting the experiments in order to acquire the highest amount of high-quality and relevant information while performing the lowest number of experiments, thus reducing the experimental effort. In this scenario, the aim of the course is to introduce the DoE to beginners, providing a simple description of the mathematical principles behind these tools but mainly focusing on practical aspects, real-case application and results interpretation thanks to a large variety of practical examples and real datasets. Together with the theoretical description of the most common designs, a few practical exercises will be proposed and carried out together with the students by means of the open-source software CAT, freely downloadable, in order to provide the students with all the basic knowledge to autonomously apply DoE in their future career. Finally, brief hints to more advanced techniques aimed at investigating more complex or specific problems will be presented to provide the students a wider panorama of the countless opportunities offered by Design of Experiments.
The course will be held in classroom C1, on June 9, 2026 (10:30-12:30 and 14:00-16:00, 4 hours in total).
- Docente: Monica Locatelli