To provide students with a theoretical and practical hands-on knowledge of methods for the optimization, validation and verification of analytical procedures, through single operator statistics, interlaboratory exercises and analysis of variance with the ANOVA method.
The subject of the optimization of analytical procedures elements will be completed and deepened by the course Chemiometria Modulo B, focused on the approaches based on experimental design (Experimental Design or Design of experiments, DoE).
The second training bjective is to provide students with theoretical and practical hands-on knowledge of the main multivariate statistical methods for the analysis of chemical data. Through theoretical lessons, computer- classroom hands-on exercises, and practical examples, students will become familiar with the main pattern analysis methods (principal components analysis PCA, analysis of clusters) and modeling methods (ordinary least squares method and partial least squares PLS method) with a view to possible applications in analytical chemistry for the analysis and interpretation of data in complex systems .
After the course the students will be able to develop an analytical procedure, determine its performance, analyze multivariate data sets, and critically evaluate multivariate experimental results and related scientific literature.