270246 PR Practice in Multidimensional Analytical Chemistry (2020W)
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 Tu 01.09.2020 08:00 to Fr 25.09.2020 23:59
- Deregistration possible until Fr 25.09.2020 23:59
Details
max. 6 participants
Language: German
Lecturers
- Peter Lieberzeit
- Mahdieh Bagheri
- Shahin Haghdoust
- Elias Leutgeb
- Wisnu Arfian Anditya Sudjarwo
- Felix Thier
- Christine Unger
- Martin Werner
Classes
n. Ü.
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 27.11.2020 15:48