Provide students with a theoretical and applicative knowledge of methods for the design of experiments (DOE) by which empirical models capable of describing complex systems can be developed. In particular, students will learn, also through numerous practical exercises, how to plan statistically optimal experiments capable of highlighting variables with a greater influence on the behavior of the system under examination and to develop models capable of predicting their behavior in different conditions. These models will be possibly used to optimize analytical procedures (e.g. pre-treatment of samples or optimization of a chromatographic run), synthetic or derivatization reactions, industrial procedures.
At the end of the course, the student will be able to develop and optimize an analytical procedure, a chemical process or a synthesis using different experimental design schemes, as well as to critically evaluate results and the scientific literature on the subject.