|SCIENTIFIC DISCIPLINARY SECTOR||CHIM/01|
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.
At the end of the course, the student will be able to:
1) know the basic theoretical aspects of the main techniques of statistical analysis of scientific data, particularly regarding analytical data.
2) apply these methods to the statistical analysis of specific datasets.
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.
Office hours: Always, by appointment.
Office hours: The teacher is always present in the Department. It is recommended to arrange an appointment by e-mail.
MARCO GROTTI (President)
FRANCISCO ARDINI (President Substitute)
All class schedules are posted on the EasyAcademy portal.
Oral examination with a short presentation of a case-study previously assigned and questions related both to the case-study and to the other topics of the course.
The oral examination is performed by two professors and it is about 45-minutes long. During the examination, the student answers to multiple-choice questions, orally explains subjects related to the content of the course and discusses 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 the teachers.
Oral lessons will be delivered in Italian language, but the slides are in English.