Multivariate data analysis (chemometrics) can be used to solve problems involving large amounts of multivariate data generated by e.g. spectroscopy, chromatography or time series of many variables. In chemometrics informative patterns are found and interpreted instead of looking at classical, and often inadequate, univariate measures.
Chemometrics is widely used in science and in scientific papers. It is important to know what features to use, how to use them correctly and how to interpret plots. Chemometrics include hypothesis generating methods, but can also be used for classification and prediction.
Period
04-08-2014 - 08-08-2014 (1 weeks)
Target group
Master's students
Course aim
The course will give a thorough introduction to the chemometric methods, Principal Component Analysis (PCA) and Partial Least Squares (PLS) regression, including common data pre-processing.
Credits
5.0 ECTS credits
Course fee
EUR 0: Students on a bilateral exchange programme do not have to pay. Freemovers are obliged to pay participation fees while tuition fees only apply to freemovers from countries outside the EU/EEA/Switzerland.
Course leader
Mette Marie Lkke
Aarhus University International Centre
Address: Hoeg Guldbergs Gade 4, building 1650 Aarhus C
Postal code: 8000
City: Aarhus
Country: Denmark
Website: http://www.au.dk/summeruniversity
E-mail: SummerUniversity@adm.au.dk
Phone: +45 8942 2320
Introduction to Multivariate Data Analysis (Chemometrics)
label
Diverse
calendar_month
2014-01-13, 00:00
autorenew
2025-09-29, 17:01
history_edu
Ioana Dinescu
