CAMO Software
   
Chemometrics & Spectroscopic Multivariate Data Analysis (MVA) and Design of Experiments (DoE)

The integrated seminar has been designed to give participants a strong foundation in the basics and fundamentals of Multivariate Data Analysis and DoE. The programme combines theoretical studies and practical workshops, ensuring that each participant gets individual focus, and understands the practical uses of MVA & DOE applications in R&D, Product Development, PAT, Laboratory, Quality Control & Assurance and Consumer Insights.Numerous real world data sets will be analyzed during the seminar.

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Multivariate Data Analysis (MVA) and Design of Experiments (DoE)
09 - 11 March 2009

     
Expand / Collapse  Course Details Fee: 15000 TBH (including VAT)
 
  • The world is multivariate –Introduction to multivariate data modelling
  • When are multivariate methods useful?
  • Principal Component Analysis (PCA)
  • Multivariate regression
  • Relevant data collection
  • Multivariate modeling step by step
  • Pretreatment and scaling
  • Detecting and dealing with outliers
  • Calibration, validation
  • Prediction
  • The different validation methods
  • Basic rules for successful data analysis
  • Classification
 
  • What is Experimental Design?
  • Experimental Design in R&D Projects
  • Screening Designs
  • Optimization Designs and their Analysis
  • Experimental design and PCA
  • From Screening to Optimization
  • Designs for product and process optimization
  • Multivariate analysis of data collected on the basis of experimental designs
     
 
Register Now



Early Bird Discounts:
10% of normal fees for registrations before Feb 20, 2009
  Venue:
King Park Avenue Hotel
(Seminar Room: Pakamas Room, Floor 2)
9/999 Moo1 Srinakarin Road, Pravet
Bangkok, Thailand
Tel: +66 2748 1035 Fax: +66 2748 1050
 
       
 
 
Course Instructor
     

Suresh Kumar Suresh Kumar BV
Chemometric Consultant, CAMO Software

Suresh Kumar, has an M.Sc. in Physical Chemistry. A chemist by profession, Suresh has more than 10 years of experience in the Quality Control, Analytical Research & Development divisions of Food, Pharmaceuticals, Analytical Instruments Manufacturing, with emphasis on multivariate data analysis & calibration.

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