| |
|
|
|
|
| |
Multivariate Data Analysis I |
|
Multivariate Data Analysis II |
| |
- The world is multivariate - Introduction to multivariate data modeling
- When are multivariate methods useful?
- Principles and applications of PCA, MLR, PCR...
|
|
- Data preprocessing
- PCA
- Multivariate regression
- Prediction
- Classification (SIMCA and PLS-DA)
- Multivariate Curve Resolution (MCR)
|
| |
|
|
|
| |
Experimental Design (DoE) |
|
Multivariate Analysis Of
Spectroscopic Data |
| |
- Introduction to experimental design
- Questions experimental design can answer
- Classical experimental strategies / Why is experimental design useful?
|
|
|
| |
|
|
|
| |
Multivariate Analysis of Sensory Data |
|
|
| |
- Univariate statistics
- Experimental setup
- Evaluation of panel data
- Principal Component Analysis (PCA)
- Varimax rotation
- Preference mapping
|
|
|
| |
|
|
|
| |
|
|
| |
Process modelling and optimisation |
| |
- Design of experiments
- Efficient data collection
- Screening designs
- Optimization designs
- Evolutionary Operation (EVOP) design
|
| |
|
|
|