Eigenvector University Europe
October 4, 2021 - October 8, 2021
Eigenvector Research, Inc. is pleased to offer the Tenth Annual EigenU Europe. This year we are again headed to Montpellier, FRANCE where we will be staying at the beautiful Marriott Courtyard.
The 2021 edition of EigenU Europe will span five days and will offer our three-day Basic Chemometrics series followed by two days of specialty and advanced topics.
Complete information about the course can be found by following the links below.
- Target Audience
- Course Descriptions and Outlines
- About the Instructors
- Course Fees
- Registration, Deadlines and Cancellations
- Lodging and Transportation
- Daily Schedule
Eigenvector University Europe is aimed at engineers, chemists and other scientists who want to be able to analyze their own laboratory or process data, develop their own data models or develop instruments that produce analytical data. It is especially well suited for those with an interest in process analytical technology (PAT) in the pharmaceutical, food and beverage, and process industries. The course serves individuals with a need for exploratory data analysis, development of predictive models such as analytical instrument calibrations, soft sensor models, multivariate statistical process control (MSPC), fault detection and sample classification. No prior knowledge is required for this course, although some knowledge of basic statistics and elementary linear algebra is useful.
The Monday-Wednesday block of EigenU Europe will cover the fundamentals of many commonly used chemometric methods such as principal component analysis (PCA) and partial least squares (PLS) regression. Emphasis will be on applying these techniques in the chemical process and laboratory environment for pattern recognition, instrument calibration, and sample classification. The course material is drawn from our popular Eigenvector University Series. The class begins with a brief review of Linear Algebra for Chemometricians, and moves quickly into Chemometrics I:PCA and then on to Chemometrics II: Regression and PLS. Aspects of Advanced Preprocessing methods will also be covered. The first three days will conclude with an introduction to Variable Selection.
Thursday we are offering Introduction to Hyperspectral-Multivariate Image Analysis. This class focuses on how multivariate methods such as PCA and PLS can be applied to hyperspectral image data. Aspects of classification and curve resolution will also be covered along with particle and texture analysis.
EigenU Europe concludes Friday with Machine Learning for Calibration and Classification. This class considers methods such as Support Vector Machines (SVMs), Artificial Neural Networks (ANNs) and Locally Weighted Regression (LWR), plus our recently added Boosted Regression and Classification Trees (XGBoost). We will also cover Hierarchical Models. Note that Friday’s class begins and ends early!
Participants must bring their own laptops with current versions of Solo or PLS_Toolbox (and MATLAB) installed. Demo copies will work just fine. Users with Eigenvector accounts can download free demos. If you don’t have an account, start by creating one. If you cannot provide your own computer, please contact us and we will try to arrange one for you, rental fees may apply.
Eigenvector University Europe will include the following modules from our annual Eigenvector University. Click on each title for more detailed information about the module.
|October 4 – 6, 2021||
|Linear Algebra for Chemometricians|
|Chemometrics II – Regression and PLS|
|Advanced Preprocessing for Spectral Applications|
|October 7, 2021||
|Introduction to Hyperspectral/Multivariate Image Analysis (MIA)|
|October 8, 2021||
|Machine Learning for Calibration & Classification|