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Jan 15, 2025
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IE 460 - Design for Quality3 lecture hours 0 lab hours 3 credits
Course Description
This course covers the basic approaches to statistically designed experiments including hypothesis testing by the use of ANOVA, Analysis of Means, Student t, F, Chi-square and Z tests, and decision making by use of statistics, factorial, and Taguchi methods. (prereq: MA 262 )
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
• recognize applicability of experimental design techniques
• plan and conduct a designed experiment
• analyze experimental data, draw conclusions, and make recommendations regarding process improvements
Prerequisites by Topic
• Basic understanding of probability, statistical distributions, calculating means and standard deviations, student “t” tests and central limit theorem
Course Topics
• Review of Statistics (3 classes)
• Hypothesis Testing (6 classes)
• Analysis of Means (6 classes)
• Applications of Factorial Designs (2 classes)
• One-Way and Two-Way, ANOVA (4 classes)
• Fractional Factorial designs (3 classes)
• Taguchi Methods (5 classes)
• Examinations (2 classes)
Laboratory Topics
• No laboratory in this course
Coordinator
Aaron Armstrong
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