CHEMOMETRICS
- Overview
- Assessment methods
- Learning objectives
- Contents
- Full programme
- Bibliography
- Teaching methods
- Contacts/Info
Basic knowledge of general chemistry and analytical chemistry (especially the main instrumental techniques) is required.
Written test and optional oral test.
Written test: a theoretical part (15/30 maximum note) and a practical part (15/30 maximum note). Both parts must reach the score of 8/15 as minimum score to be considered passed. The final note will be the sum of the two notes.
Optional oral test (only for students that obtained 8/15 in both part of the written test): a couple of short questions with maximum note 5/30. The final note will be the sum of the written part and the oral part.
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 (4h)
Data collection and pretreatment (4h)
Univariate and multivariate exploratory analysis (4h)
Projection methods (8h)
Cluster analysis (4h)
Classification (4h)
Regression methods (8h)
Spectroscopic data pretreatment (4h)
Introduction to experimental design: screening and optimization design (8h)
.
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
Chemometrics: a textbook, D.L. Massart and B. Vandeginste
48 hours of lectures and practical exercises with PC
Office hours by appointment