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Nov 09, 2024
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IE 340 - Design of Experiments3 Credit Hours
Development and discussion of fundamental theory, concepts and procedures required for the efficient design and analysis of industrial experiments. Topics covered include the statistical approach, screening procedures for factor and interaction effects in one-factor and multiple-factor experiments with and without restrictions on randomization, two-level and mixed-level full and fractional factorial designs with and without blocks, response surface methodology, and Taguchi methods. Integrated treatment of these topics provides knowledge and skills for process and product improvement in engineering applications. Use of specialized software for experimental data analysis.
(RE) Prerequisite(s): IE 200 .
Recommended Background: Completion of an introductory course in probability and statistics.
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