CHEMOMETRICS
Basic knowledge of general chemistry and analytical chemistry (especially the main instrumental techniques) is required.
written test and optional oral test
The principal univariate and multivariate methods for chemical data treatment are presented in the course. The aim of the course is to provide the basis of chemometrics illustrating its application in the following contests: design of experiment, exploratory analysis, prediction, data processing. The course is structured with theoretical lessons and practical lessons with compulsory attendance.
Introduction to chemometrics: multivariate data
Data collection and pretreatment
Univariate and multivariate exploratory analysis
Projection methods
Cluster analysis
Classification
Regression methods
Spectroscopic data pretreatment
Introduction to experimental design: screening and optimization design
Chemometrics: a practical guide, K. R. Beebe, R. J. Pell, M. B. Seasholtz
Introduzione alla Chemiometria, R. Todeschini
Chemometrics: data analysis for the laboratory and chemical plant, P. Brereton
Introduction to multivariate statistical analysis in chemometrics, K. Varmuza, P. Filzmoser
Fondamenta di Chimica Analitica, M. Forina - ebook: http://www.sisnir.org/index.php/edsisnir
Chemometrics: a textbook, D.L. Massart and B. Vandeginste
48 hours of lectures and practical exercises with PC