SEARCHShort Course Topics
The following courses are typical of those taught at Eigenvector University and most are available for on-site instruction. Click on any course title to see a more detailed view of the course contents:
Chemometrics Without Equations Series
Basic Chemometrics Series
- Linear Algebra for Machine Learning and Chemometrics
- MATLAB for Machine Learning and Chemometrics
- Chemometrics I – Principal Components Analysis (PCA)
- Chemometrics II – Regression and Partial Least Squares (PLS)
- Clustering and Classification
Advanced and Specialty Topics
- Advanced Preprocessing for Spectroscopic Applications
- Applied Multiway Analysis
- Batch Multivariate Statistical Process Control (MSPC) for PAT
- Calibration Model Maintenance
- Calibration Transfer and Instrument Standardization
- Chemometrics in Mass Spectrometry
- Chemometrics in Metabolomics
- Classical Least Squares (CLS) Methods
- Common Mistakes in Chemometrics (and how not to make them)
- Correlation Spectroscopy
- Data Visualization
- Design of Experiments for QbD
- Getting PLS_Toolbox/Solo Models Online
- Hierarchical and Optimized Models
- Implementing Chemometrics in PAT
- Introduction to Multivariate Image Analysis
- Modeling Fluorescence EEM Data
- MSPC-Multivariate Statistical Process Control
- Multi-block, Multi-set, Multi-level and Data Fusion Methods
- Multivariate Curve Resolution
- Machine Learning for Calibration and Classification
- PLS_Toolbox Beyond the Interfaces
- Robust Methods
- Script Speedup, Parallelization and Algorithms
- Variable Selection
In addition, we have courses based on our popular Chemometrics without Equations structure. See the main course page for more information in general on our courses.