0 or 3 credits
Spring 2026 Laboratory Lecture Upper DivisionData from last updated 7/9/2026
Spring 2026
Spring 2026 Instructors: ,
A study of data quality for Six Sigma level of improvement, applying a Six Sigma DMAIC (Define, Measure, Analyze, Improve and Control) improvement methodology, utilizing information tools and techniques. The course addresses advanced topics in statistical based continuous improvement, data quality; and Big Data Analytics concepts, as pertains to systematic problems. An embedded certificate in SS is included in the body of knowledge.
Learning Outcomes1Explain how Six Sigma principles are used for continuous improvement.
2Apply the DMAIC and Big Data approach in solving team based, project based problems.
3Demonstrate understanding of data quality principles as applied to compelling business cases.
Prerequisites
Restrictions
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