Name of course:
Introduction to multivariate data analysis (chemometrics)
Level of course: PhD course
Time of year: April/May 2019
No. of contact hours/hours in total incl. preparation, assignment(s) or the like:
Capacity limits: Minimum 10 and maximum 25 participants
Objectives of the course:
The purpose of the course is to give an introduction to some of the common methods in multivariate data analysis, and give the students tools and knowledge to understand and perform PCA and PLS data analysis on their own data.
Learning outcomes and competences:
At the end of the course, the student should be able to:
Attendance for a minimum of 80% of the theoretical and practical lessons is required to obtain the course diploma. Approved report.
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.
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.
Some mathematical and statistical expressions will be used in the course and a variety of data (e.g. chemical, sensory and spectroscopic data) will be used as examples.
Enrolled in a science-based PhD programme. Master’s students can participate as a part their Master’s project in agreement with the supervisor.
Name of lecturer:
Assistant Professor Ulrik Kræmer Sundekilde, Department of Food Science, Aarhus University, Denmark
Type of course/teaching methods:
Lectures, computer exercises, data analysis of your own data, writing and presenting report.
Selected chapters and papers will be announced later. You will receive a folder with information and printouts from the lectures at the beginning of the course.
Passed/not passed assessment based on written report, presentation and discussion of results considering the learning outcomes.
Department of Food Science, Aarhus University
Special comments on this course:
Course fee: 1750 DKK for PhD and Master’s students and AU-FOOD staff (covers 1 year software license and coffee/bread/fruit in the morning and afternoon), 5000 DKK for others.
The course is organized in combination with the PhD course ‘Introduction to metabolomics’ and it is possible to follow both courses, although the courses can be taken individually, if necessary. A discount is available if you follow both courses - see below.
AU Konferencecenter, Fredrik Nielsens Vej 4, 8000 Aarhus
Deadline for registration is 1 April 2019. Information regarding admission will be sent out no later than two workdays after registration deadline.
The course fees are:
Metabolomics only (covering bread/coffee/fruit and folder):
PhD students and master students enrolled at Danish Universities and AU-FOOD staff: 750 DKK
Others: 3000 DKK
Chemometrics only (covering bread/coffee/fruit, folder and LatentiX license):
PhD students and master students enrolled at Danish Universities and AU-FOOD staff: 1750 DKK
Others: 5000 DKK
Metabolomics and Chemometrics (covering bread/coffee/fruit, folder and LatentiX license):
PhD students and master students enrolled at Danish Universities and AU-FOOD staff: 2000 DKK
Others: 7500 DKK
If you have any questions, please contact Ulrik Sundekilde, e-mail: email@example.com.