Design of Experiments (DOE) Professional

A practical, application-focused curriculum covering core DOE methods:

1. DOE Foundations

• Why DOE vs. OFAT (one-factor-at-a-time)
  
  
• Types of experiments and common pitfalls
  
  
• Selecting the right design for the objective
  
  

2. Screening Designs

• Full factorial vs. fractional factorial designs
  
  
• Main effects and interactions
  
  
• Confounding and resolution concepts
  
  

3. Factorial Designs (Hands-On)

• 2-level factorial designs
  
  
• Analyzing effects and interactions
  
  
• Graphical analysis and ANOVA basics
  
  

4. Optimization Techniques

• Response Surface Methodology (RSM)
  
  
• Central Composite & Box–Behnken designs
  
  
• Finding optimal settings and robustness
  
  

5. Practical Execution

• Planning runs and randomization
  
  
• Blocking and noise management
  
  
• Data collection and integrity