270275 VO Chemometrics and Data Analysis in Multidimensional Analysis (2010W)
Labels
Di, 11:00 - 12:00 Uhr c.t., Seminarraum Analyt.ChemieBeginn: 05.10.2010
Details
Language: German
Examination dates
- Friday 18.02.2011
- Friday 11.03.2011
- Tuesday 05.04.2011
- Tuesday 12.04.2011
- Wednesday 01.06.2011
- Tuesday 21.06.2011
- Wednesday 17.08.2011
Lecturers
Classes
Currently no class schedule is known.
Information
Aims, contents and method of the course
Assessment and permitted materials
Minimum requirements and assessment criteria
Students will be familiar with the theoretical background of modern data analysis strategies by the end of the lecture. After passing the exam, they will therefore be able to introduce themselves rapidly into solving concrete problems with standard software (such as e. g. MatLab).
Examination topics
Evaluation: oral examination
Reading list
Matthias Otto: "Chemometrie", Klaus Danzer et al. "Chemometrik", Springer Verlag Berlin, Folien zur Vorlesung
Association in the course directory
AN-2, LA-Ch.
Last modified: We 19.08.2020 08:06
- Patter Recognition: (hierarchical) cluster analysis, principal component analysis
- Modelling of Data: regression methods in one and more variables, principal component analysis, neural networks.
- Time Series Analysis: autocorrelation functions
- Quality Assurance and Good Laboratory Practice
- Experimental Design.
In addition to simultaneously analyzing multicomponent mixtures, chemometrics also allows to classify samples according to not directly quantifiable criteria, such as discriminating different wines from each other by their smell or taste with so-called "artificial noses" or "artificial tongues". The main focus of the lecture will be on the actual analytical application of these techniques. Therefore, in-deep mathematical derivations will be foregone as far as possible.