270246 PR Practice in Multidimensional Analytical Chemistry (2016W)

Continuous assessment of course work

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Registration is open from We 22.06.2016 08:00 to Su 16.10.2016 23:59
Deregistration possible until Su 16.10.2016 23:59

Details

max. 15 participants

Language: German

Lecturers

Classes

Labor Prof. Lieberzeit

Information

Aims, contents and method of the course

During this laboratory course students will generate multidimensional data sets e.g. by the means of spectrometric methods or sensor arrays. These will be the basis for getting to know different multivariate data analysis techniques, such as e.g. neural networks, PCA and cluster analysis. In the field of gas sensing, data can additionally be referenced by GC-MS.

Assessment and permitted materials

Evaluation: experimental work (50%), quality of protocols (25%), final examination (25%). Passing threshold 75%, above that linear scale.

Minimum requirements and assessment criteria

Practical knowledge of basics in multivariate data analysis with MatLab.

Examination topics

Reading list

- Vorlesungsunterlagen "Chemometrie". Der Besuch der VO im Praktikumssemester ist empfohlen, aber keine Voraussetzung.
- Richard G. Brereton, Chemometrics: Data Analysis for the Laboratory and Chemical Plant, ISBN: 978-0-471-48978-8

Association in the course directory

AN-1, AN-4, BC-1, CHE II-1

Last modified: Mo 07.09.2020 15:42