270275 VO Chemometrics and Data Analysis in Multidimensional Analysis (2011W)
Labels
DI 11:00-12:00 c.t., ab 11.10.2011,
Seminarraum des Instituts für Analytische Chemie
Seminarraum des Instituts für Analytische Chemie
Details
Language: German
Examination dates
Thursday
23.02.2012
Tuesday
28.02.2012
Thursday
15.03.2012
Monday
19.03.2012
Friday
23.03.2012
Monday
14.05.2012
Monday
09.07.2012
Thursday
23.08.2012
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-1, BC-1, CHE II-1.
Last modified: Sa 08.07.2023 00:22
- 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.