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    Jan 17, 2022  
2014-2015 Undergraduate Catalog 
    
2014-2015 Undergraduate Catalog [ARCHIVED CATALOG]

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IE 340 - Process Improvement through Planned Experimentation

3 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): 202 and 300.
Recommended Background: Completion of an introductory course in probability and statistics.



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