WSQ - Practical Design of Experiment (DoE) for Engineers and Researchers

Topic 1 Fundamentals of Design of Experiment 

• Introduction to Design of Experiment (DoE)
• Dependent and Independent variables
• Purpose of DoE
• Stages of DoE
• Factor, Level and Treatment
• Introduction to single factor experiments
• One-Way Analysis of Variance (ANOVA)
• Decomposition of the Sum of Squares

Topic 2 Factorial DoE

• Introduction to Factorial DoE
• Main Effects and Interactions between factors
• Why using Factorial DoE
• Two-Factors Two-Levels (2^2) DoE
• Regression equation for 2^2 DoE
• 2^2 experiment with Interactions
• Regression model for 2^2 DoE with Interactions
• Analysis of Variance (ANOVA) of 2^2 DoE
• Adding the third factor – 2^3 DoE
• ANOVA of 2^3 DoE
• Regression model for 2^3 DoE
• General 2^k DoE
• Analysis procedure of any 2^k DoE
• Blocking a replicated design
• Analysis a 2^k DoE with blocks as replicates
• Confounding a 2^k DoE in blocks

Topic 3 Fractional Factorial DoE 

• Introduction to Fractional Factorial DoE
• One-Half fraction designs
• Confounding in partial factorial design
• Design resolution
• ANOVA of fractional DoE
• One-Quarter fraction designs

Topic 4 Screening, Modeling and Optimizing DoE

• Screening designs
• Plackett Burman design
• Taguchi design
• Response Surface Method (RSM)
• Central Composite Design (CCD)

Final Assesment

• Written Assessment (Short Answer Questions)
• Case Study

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