270275 VO Chemometrics and Data Analysis in Multidimensional Analysis (2012W)
Labels
DI 11:15-12:15, ab 09.10.2012,Seminarraum des Instituts für Analytische Chemie
Details
Language: German
Examination dates
Tuesday
18.12.2012
Tuesday
12.02.2013
Tuesday
19.02.2013
Tuesday
26.02.2013
Wednesday
27.03.2013
Wednesday
03.04.2013
Tuesday
16.04.2013
Tuesday
23.04.2013
Friday
24.05.2013
Friday
25.10.2013
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, BC-1, CHE II-1, 2 LA-Ch 32-34.
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.