CHEMOMETRICS WITHOUT EQUATIONS (or Hardly Any) - HANDS ON! Two day course (Sunday and Monday)

Price:	Conferee: $1,300; Student: $650; Non-conf: $1,500
Date:	Sunday, September 28, 9:00 am
Location:	Two day workshop Sunday and Monday, fee includes use of PC for Hands-On Exercises,
Instructors:	Barry M. Wise, Jeremy M. Shaver, Willem Windig; Eigenvector Research, Inc.

Chemometrics without Equations concentrates on two areas of chemometrics: 1) exploratory data analysis and pattern recognition, and 2) regression. Participants will learn to safely apply techniques such as Principal Components Analysis (PCA), Principal Components Regression (PCR), and Partial Least Squares (PLS) Regression. Examples will include problems drawn from process monitoring and quality control, predicting product properties, and others. The target audience includes those who collect and/or manage large amounts of data that is multivariate in nature. This includes bench chemists, process engineers, and managers who would like to extract the most information from their measurements. The course will finish with a short section on how to apply these models for online predictions, Multivariate Statistical Process Control and inferential sensing. Students will work problems using MATLAB and PLS_Toolbox on computers provided (maximum of two students per computer).

1. Introduction

   1.1 what is chemometrics?

   1.2 resources

2 Pattern Recognition Motivation

   2.1 what is pattern recognition?

   2.2 relevant measurements

   2.3 some statistical definitions

3. Principal Components Analysis

   3.1 what is PCA?

   3.2 scores and loadings

   3.3 interpretation

   3.4 supervised and unsupervised pattern recognition

   3.5 examples

4. Regression

   4.1 what is regression?

   4.2 classical least squares (CLS)

   4.3 inverse least squares (ILS)

   4.4 principal components regression (PCR)

   4.5 partial least squares regression (PLS)

   4.6 examples

5 On-line Applications

   5.1 clients and servers

   5.2 available technologies (COM, ActiveX, etc.)

   5.3 using MATLAB and PLS_Toolbox on-line

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