Lecture Notes (arranged in order of topics)
 

1. Statistics Review

2. Experiments Comparing Two Values

3. ANOVA-Analysis of Variance (One Way)

4. Two Way ANOVA

5. Two Way ANOVA (With No Replication)

6. Latin Square Design

7. Model Development

8. Two-level Factorial(2^k) Designs

9. Taguchi's Contributions

10. Replicated Full Factorial Design

11. Model Building

12. Fractional Factorial Designs

13. Bicycle Example

14. Response Surface Methodology (RSM)

14.5 Orthogonal Arrays