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LLEK10246U Advanced Chemometrics
Full Degree Master
A (Tues 8-12 + Thurs 8-17)
Continuing and further
Study Board of Food, Human Nutrition and
Department of Food Science
Rasmus Bro (2-7767456b74746933707a336970)
Saved on the
MSc Programme in Food Science and Technology
MSc Programme in Biology -Biotechnology
MSc Programme in Agriculture
Basic chemometric methods like PCA and PLS are useful tools in
data analysis but in many data analytical problems more advanced
methods are necessary to solve the problems.
The methods studied in this course will be selected from these main
topics: Data preprocessing methods, variable selection methods,
clustering and classification techniques, calibration transfer
methods, non-linear regression and multi-way methods.
Computer exercises on real data using commercial software are an
integrated part of the course.
The course introduces advanced chemometric methods and their use
on different kinds of multivariate data of relevance for research
After completing the course the student should be able to:
Summarize basic chemometric methods
Describe advanced chemometric methods for multivariate (clustering,
classification and regression) data analysis
Describe advanced techniques for data pre-preprocessing
Describe advanced methods for variable selection
Apply theory on real life data analytical cases
Apply commercial software for data analysis
Report in writing a full data analysis of a given problem including
all aspects presented under Knowledge.
Discuss advantages and drawbacks of advanced methods
See course web-site.
Scientific papers, book chapters and course notes.
Teaching and learning methods
The students will be introduced to the theory
through lectures and seminars. The students will work on data
analytical problems using the taught methods and software to
analyse data. The students can bring their own data analytical
problems to work on; this requires that the course teachers
consider the data as suitable to illustrate the taught methods. The
results are presented in written reports which is orally defended
at the end of the course.
Competences corresponding to the course LLEF10174
Exploratory Data Analysis / Chemometrics (must have experience with
PCA and PLS regression)