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University at Buffalo 3 credits Industrial and Systems Engineering
This course provides a comprehensive, applied introduction to Six Sigma methodologies for quality and process improvement, with a strong emphasis on data-driven decision-making and real-world problem-solving. Students learn to identify and execute high-impact, customer-focused quality improvement projects using structured Six Sigma methodologies, including DMAIC (Define, Measure, Analyze, Improve, Control). Topics include but are not limited to: six sigma metrics, quality tools and problem-solving methods, measurement system analysis and process capability, design of experiments and root cause analysis, leadership and change management. The focus of this course is centered on practical application. By the end of the course, students will be able to lead and contribute to Six Sigma projects, interpret statistical analysis results, and drive data-based process improvements.
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Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
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