Free chemometric course suggested for students of the Curriculum "Analytical Chemistry for study of the Environment", best at the first year.
Theoretical and practical knowledge of the main techniques for scientific data analysis, with special reference to analytical chemistry data. Learning the use of statistic tools for data treatment and validation of analytical methods.
Introduzione all’analisi dei dati. Disegno sperimentale. Pre-trattamento dei dati. Visualizzazione dei dati. Riconoscimento di pattern. Analisi di regressione. Tecniche statistiche per la validazione di metodi analitici.
Oral lessons and practical exercises.
Introduction to data analysis. Experimental design. Data pre-treatment. Data display. Pattern recognition. Regresion analysis. Statistics for analytical method validation.
David Livingstone. A Practical Guide to Scientific Data Analysis. John Wiley & Sons, 2009. ISBN: 978-0-470-85153-1.
Ricevimento: Always, by appointment.
FRANCISCO ARDINI (President)
MARCO GROTTI (President)
Oral examination
The oral examination is performed by two professors and it is about 30-min long. During the examination, the student answers to questions related to the content of the course while discussing a case-study previously assigned. In this way, the commission is able to evaluate if the learning outcomes have been achieved. If not, the student is asked to study more thoroughly and/or take benefit from further explanations by teachers.
Oral lessons will be delivered in Italian language, but the slides are in English.
