Overview
Description
Experimental design and data analysis using statistical methods; factorial design and process optimization.
Requirements
Recommended Preparation
- Introductory knowledge of probability distributions.
Original catalog text
Recommended Preparation
Recommended Preparation: Introductory knowledge of probability distributions.
Units
Lecture3
Catalog Details
Offering
Offered: Every Fall
Terms
fall
Attributes
Standard
Learning Outcomes
- differentiate between classical and factorial experimental design and use the latter technique to gather information about a process with a limited number of experiments.
- use a general statistical software package, such as SAS or Minitab, and the experimental design software package Design Expert.
- screen important factors from unimportant factors, develop empirical models for individual process responses, and optimize process parameters to simultaneously satisfy multiple target responses.