NFOB16000U Exploratory Data Analysis / Chemometrics
Bacheloruddannelsen i fødevarer og ernæring
In industry and research huge amounts of physical, chemical,
sensory and other quality measurements are produced on all sorts of
materials, processes and products. Exploratory data analysis /
chemometrics offers a tool for extracting the optimal information
from these data sets through the use of modern software and
The course will give a step-by-step theoretical introduction to exploratory data analysis / chemometrics supported by practical examples from food science, environmental science, pharmaceutical science etc.
Methods for exploratory analysis (Principal Component Analysis), multivariate calibration (Partial Least Squares) and basic data preprocessing are considered. The mathematics behind most of the concepts will be given together with the practical applications and considerations of the methods. Even more important, though, is the understanding and interpretation of the computed models. As is methods for outlier detection and model validation. Computer exercises and cases will be performed applying user-friendly software. A thorough introduction to the software will be given.
The course introduces basic chemometric methods (PCA and PLS) and their use on different kinds of multivariate data of relevance for research and development. Furthermore, the exploratory element in research and development is illustrated.
After completing the course the student should be able to:
- Describe chemometric methods for multivariate data analysis (exploration and regression)
- Describe techniques for data pre-preprocessing
- Describe techniques for outlier detection
- Describe method validation principles
- Understand the basics of the algorithms behind the PCA and PLS
- Understand the math of data pre-processing
- Apply theory on real life data analytical cases
- Apply commercial software for data analysis
- Interpret multivariate models (both exploratory and regression)
- Discuss and respond to univariate versus multivariate data analytical methodology in problem solving in society
See Absalon for a list of course literature
- Theory exercises
- Project work
- 7,5 ECTS
- Type of assessment
- Oral examination, 15 minWritten assignment, during courseIndividual oral examination without preparation time in the course curriculum. The oral examination weights 50%, while the remaining 50% is based on the final report. It is sufficient to pass the combined evaluation. However, omitting one of the two will be graded as a fail.
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
Several internal examiners
If you fail your exam, a new final report must be submitted AND you will repeat the oral examination (same as ordinary examination) with an internal examiner.
Criteria for exam assesment
See Learning Outcome