2010-2011 Undergraduate Catalog 
    
    Aug 07, 2020  
2010-2011 Undergraduate Catalog [ARCHIVED CATALOG]

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IE 300 - Engineering Data Analysis and Process Improvement

3 Credit Hours
Engineering statistical methods as applied to modern engineering and business environments, process improvement, inferences about process output and behavior, and measurement systems. Content includes engineering and statistical tolerances; tools for creative problem solving and process analysis; statistical process control including capability analyses and measurement studies, including gauge R&R studies; quality control in lean environments including short runs and mixed model environments; service applications including non-normality and autocorrelation; an overview of the theory of constraints; one-way analysis of variance; design of experiments including screening, two-factor, and fractional designs; and Six Sigma, including DMAIC and DFSS methodologies. A lab component emphasizes the use of teams to provide hands-on experiences, enhance learning, and develop skills in group dynamics.

Contact Hour Distribution: 3 hours lecture.
(RE) Prerequisite(s): Statistics 251.
Comment(s): Available to other majors who have completed an introductory course in probability and statistics.
Registration Permission: Consent of instructor.



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