At the end of the course, the student should be able to identify and apply a method for experimental planning.
Course Prerequisites
Knowledge of univariate basic statistics, and calculation programs (Excel).
Teaching Methods
The course alternates lectures with exercises in the computer lab on data sets provided by the teacher but performed in the first person by the student. These exercises will cover all the techniques seen during lectures. Open-source chemometrics software will be used.
Assessment Methods
The exam consists of evaluating laboratory activities and a personal production, which will be presented during the oral exam at the end of the course.
Texts
D. Montgomery, “Progettazione e analisi degli esperimenti”, Milano, McGraw-Hill, 2005
Contents
The planning of experiments, according to experimental design techniques, will include screening designs, complete and fractional designs and quadratic models (Central Composite, Face Centered, Doehlert). Factorial designs of discrete variables at more than two levels, D-optimal designs and designs for mixtures are illustrated. Introduction to Mixture and Process Designs.
