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Provided by: Creascience

Screening and Optimization Designs

Design of Experiments

Creascience
Training Provided by Creascience

Target Audience This applied training session in statistics is aimed at all scientific staff collecting data and making decisions based on them.

Aims It covers the design of efficient experiments requiring few runs for screening and optimization purposes.

Prerequisites This three-day course deals with the construction of advanced designs for screening and optimization. It assumes that attendees are familiar with the construction of factorial designs and a working knowledge of the analysis of variance.

Course FormatDifferent teaching tools are used: lectures, group discussions and interpretation hands-on exercices on computers (EXCEL macro developed by Creascience).

This is primarily ilt training
computer labComputer Lab Work
group study and discussionThis class may involve group study
instructor led trainingThis class may be available at a classroom in Montreal, QC,
Contact Creascience for more information
Course Level:introductory
Duration:3 days
Training Presented in:English
Screening and Optimization Designs

Course Topics

  • The design of experiments (DOE) approach
  • Review of factorial designs: construction and analysis
  • Generalities on fractional factorial designs
    • How to reduce the number of runs
    • The notion of model in fractional designs
    • Integrating the objective of the experiment in the design
    • Impact of fractioning
    • Notions of repetition and balance
  • Screening Designs
    • Fundamental principles
    • Construction principles
    • A simple case
    • General case: design resolution, choice of a design, design construction and data analysis
    • Plackett-Burman Designs
    • Designs at three levels
    • Mixed-Level Designs
    • Advanced Methods
  • Taguchi Designs
  • Response Surface Methodology
    • Context of application and objectives
    • Another approach than ANOVA is needed
    • Statistical background
    • Constructions of designs for response surfaces
    • Analysis of results and regression model selection
    • Use of the model
    • Dynamic experimental designs
    • D and A optimal designs
    • Handling qualitative variables
  • About The Training Provider: Creascience
    Creascience - Creascience offers an wide array of training sessions in statistics aimed primarily at non-statisticians. We also provide specific training courses on statistical methods aimed at statisticians. People attend our training sessions to gain basic knowledge or to deepen some specific aspects. The training sessions are offered both in our offices and on-site, depending on the client s needs. We...
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    This page was last updated on sb5- 10/03/08 at 12:14:47 - 03:00:45