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CEIS310

Process Improvement

DeVry University 3 credits Engineering Technology and Information Sciences

Course Description

In this course, the two main processes of six sigma will be introduced – DMAIC (define, measure, analyze, improve, control) and DMADV (define, measure, analyze, design, verify). Students will learn how these principles are applied to improve existing processes and create new ones. Emphasis will be placed on DMAIC and statistical process, product control and machine learning for process improvement. General statistic principles will be reviewed and new topics addressing principles of statistical process control will be covered. Material covered represents competencies and proficiencies aligned to Lean Six Sigma Yellow Belt certification. Prerequisites: Complete at least 1 of the following: MATH221 Statistics for Decision-Making; TECH221 Data-Driven Decision-Making.

Code
CEIS310
Credits
3
Subject
Engineering Technology and Information Sciences

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