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This course represent a continuation to the course Chemometrics in Analytical Chemistry. Various multivariate chemometric methods are introduced showing the differences among exploratory, classification and regression algorithms. The practical applications are emphasised solving specific analytical issues. The preprocessing data treatment is introduced demonstrating the importance of proper combination of individual steps for the achievement of reliable results.
Last update: VED402 (16.12.2013)
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Students will be able to: Describe fundamental concepts of multivariate statistics. Prepare experimental multidimensional data for their statistical processing and evaluation. Explain the principles of multivariate chemometric methods, including exploratory, classification and regression approaches and to use them for specific analytical and spectroscopic measurements. Last update: VED402 (16.12.2013)
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A:Meloun M., Militký J., Hill M: Počítačová analýza vícerozměrných dat v příkladech, Academia Praha 2005, ISBN 80-200-1335-0 Last update: VED402 (01.10.2013)
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1. Data vector, data matrix and fundamental operation 2. Multivariate statistical distributions, probability distributions 3. Data corrections - methods of noise suppression, baseline corrections, multiplicative scatter correction 4. Data matrix processing and data treatment 5. Estimations and hypothesis testing 6. Multivariate analýza rozptylu 7. Exploratory data analysis 8. Principal component analysis 9. Discrimination analysis 10. Cluster analysis 11. Fuzzy cluster analysis 12. Partial least squares approach 13. Canonic correlation 14. Multivariate regression methods Last update: Matějka Pavel (30.08.2013)
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electronic materials - available in the domain vscht.cz Last update: Matějka Pavel (31.08.2013)
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none Last update: Matějka Pavel (31.08.2013)
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| Teaching methods | ||||
| Activity | Credits | Hours | ||
| Konzultace s vyučujícími | 0.7 | 20 | ||
| Obhajoba individuálního projektu | 0.5 | 14 | ||
| Účast na přednáškách | 1 | 28 | ||
| Práce na individuálním projektu | 0.5 | 14 | ||
| Příprava na zkoušku a její absolvování | 1.3 | 36 | ||
| Účast na seminářích | 1 | 28 | ||
| 5 / 5 | 140 / 140 | |||
| Coursework assessment | |
| Form | Significance |
| Regular attendance | 5 |
| Defense of an individual project | 15 |
| Examination test | 40 |
| Continuous assessment of study performance and course -credit tests | 20 |
| Oral examination | 20 |