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Design and Analysis of Experiments (DoE)
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Download Section 1 Data Files and All Course Slides
1a Introduction to Design of Experiments
1b Dependent and Independent Variables
1c Purpose of DoE
1d Stages of DoE
1e Factor, Level and Treatment
1f Two Factors Two Levels Experiment
1g Plots for Two Factors Two Levels Experiment
1h Regression Equation for Two Factors Two Levels Experiment
1i Minitab Demonstration: Two Factors Two Levels Experiment
1j Two Factors Two Levels with Interaction
1k Regression Equation for for 2x2 Experiment with Interaction
1l Minitab Demo 2x2 Experiment with Interactions
1m Catapult Experiment with 2 Factors
1n Noise Factors Three Types
1o Blocking
1p Analysis of Covariance
1q Replication and Repetition
1r Catapult Experiment with 2 Replications
1s Minitab Demo - Catapult Experiment with 2 Replications
1t Adding the Third Factor
1u Three Factors Regression Equation
1v Results of Three Factors Experiment
1w Minitab Demo - Three Factors Experiment
1x Three Factors Experiment with Center Point
1y Minitab Demo Experiment with Center Point
1z Partial Factorial Design Introduction
1z1 Confounding in Partial Factorial Design
1z2 Design Resolution
Section 1 Quiz
Download Section 2 Data Files
2a ANOVA
2b Regression Getting Started
2c Assumptions in Regression
2d Comparing Models
2e R Square Predicted
2f Model Simplification
Section 2 Quiz
Download Section 3 Data Files
3a Screening Designs
3b Plackett Burman Design Demonstration
4a Types of Factorial Designs
4b Split Plot Design
4c Minitab Demo - Split Plot Design
4d Catapult Full Factorial Design
4e Minitab Demo - Catapult Full Factorial Design - Part 1
4f Minitab Demo - Catapult Full Factorial Design - Part 2
5a Response Surface Designs
5b Central Composite Design
5c Minitab Demo - Central Composite Design
Section 3 Quiz
Final Course Test
1. Foundation of Design of Experiments (Definitions and Basic Concepts)
Download Section 1 Data Files and All Course Slides
1a Introduction to Design of Experiments
Preview
1b Dependent and Independent Variables
1c Purpose of DoE
1d Stages of DoE
1e Factor, Level and Treatment
1f Two Factors Two Levels Experiment
1g Plots for Two Factors Two Levels Experiment
1h Regression Equation for Two Factors Two Levels Experiment
1i Minitab Demonstration: Two Factors Two Levels Experiment
1j Two Factors Two Levels with Interaction
1k Regression Equation for for 2x2 Experiment with Interaction
1l Minitab Demo 2x2 Experiment with Interactions
1m Catapult Experiment with 2 Factors
1n Noise Factors Three Types
1o Blocking
1p Analysis of Covariance
1q Replication and Repetition
1r Catapult Experiment with 2 Replications
1s Minitab Demo - Catapult Experiment with 2 Replications
1t Adding the Third Factor
1u Three Factors Regression Equation
1v Results of Three Factors Experiment
1w Minitab Demo - Three Factors Experiment
1x Three Factors Experiment with Center Point
1y Minitab Demo Experiment with Center Point
1z Partial Factorial Design Introduction
1z1 Confounding in Partial Factorial Design
1z2 Design Resolution
Section 1 Quiz
2. Understanding ANOVA and Regression (A quick overview)
Download Section 2 Data Files
2a ANOVA
2b Regression Getting Started
2c Assumptions in Regression
2d Comparing Models
2e R Square Predicted
2f Model Simplification
Section 2 Quiz
3. Screening, Modelling and Optimizing Designs
Download Section 3 Data Files
3a Screening Designs
3b Plackett Burman Design Demonstration
4a Types of Factorial Designs
4b Split Plot Design
4c Minitab Demo - Split Plot Design
4d Catapult Full Factorial Design
4e Minitab Demo - Catapult Full Factorial Design - Part 1
4f Minitab Demo - Catapult Full Factorial Design - Part 2
5a Response Surface Designs
5b Central Composite Design
5c Minitab Demo - Central Composite Design
Section 3 Quiz
Conclusion
Final Course Test
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