270246 PR Practice in Multidimensional Analytical Chemistry (2018W)
Continuous assessment of course work
Labels
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 Sa 01.09.2018 08:00 to Tu 25.09.2018 23:59
- Deregistration possible until Tu 25.09.2018 23:59
Details
max. 6 participants
Language: German
Lecturers
Classes
Currently no class schedule is known.
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
Results of experiments and final exam
Reading list
orlesungsunterlagen "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
- 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: Fr 18.01.2019 13:48