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May 03, 2024
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ISE 5300 - Introduction to Designed Experiments
Design and analysis of engineering experiments approached from linear statistical model point of view. Blocking designs, full and fractional factorial designs, analysis of variance, and introduction to response surface methodology. Software for statistical analysis is utilized.
Requisites:
Credit Hours: 2
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 2.0 lecture
Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
Learning Outcomes:
- Analyze simple comparative experiments.
- Analyze three-level and mixed-level factorial and fractional factorial designs.
- Apply blocking in experimental design.
- Apply design of experiments to design and optimze industrial processes and products.
- Apply the analysis of variance to design and analyze experiments with a single factor.
- Describe the response surface methods.
- Design and analyze two-level factorial experiments.
- Design and analyze two-level fractional factorial experiments.
- Use software tools to design and analyze experiments.
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