Course
Objectives:
|
|
The objective of this course is to teach how to plan, design and conduct experiments efficiently and analyze the resulting data to obtain objective conclusions. Both statistical design and analysis issues will be discussed.
|
|
|
Applications from various fields of engineering (including chemical, mechanical, civil, mining engineering, materials science, industrial, etc.) will be illustrated throughout the course.
|
|
|
Computer software packages (Minitab and Design Expert) to implement the methods presented will be illustrated and the students will be required to use these software for homework and project. |
Textbook: Design and Analysis of Experiments , 6 th edition, by D. C. Montgomery, John Wiley & Sons, 2005
|
|
Topics:
| 1. |
Introduction (Chapter 1)
|
| 2. |
Simple Comprative Experiments (Chapter 2)
|
| |
- Sampling Distribution |
| |
- Hypothesis Testing |
| 3. |
Experiments with Single Factors (Chapter 3)
|
| |
- Analysis of Variance (ANOVA) |
|
- Model Adequacy Checking |
|
- Practial Interpretation of Results |
| 4. |
Completely Randomized Design; Block Design (Chapter 4)
|
| 5. |
Introduction to Factorial Design (Chapter 5)
|
| 6. |
2^k Factorial Design (Chapters 6-7) |
| 7. |
Fractional Factorial Design (Chapters 8-9) |
| 8. |
Fitting Regression Models (Chapter 10) |
| 9. |
Response Surface Methodologies and Process Optimization (Chapter 11) |
| 10. |
Robust Parameter Design and Process Robustness Studies (Chapter 12) |
|
|
Prerequisite
: MATH 483 or MNGE
417, or an Introductory Probability and Statistics course
|
|
