Quality Engineering and Management
School: Technische Universität München
Platform: edX
Registration Link: Quality Engineering and Management
Start Date: July 1, 2015 (10 Weeks)
Workload: 3-4 Hours Per Week
Holly Ott
Instructors: Martin Grunow and Holly Ott
Credentials: Grunow teaches production, operations, and logistics management at Technische Universität München. He has authored or co-authored over 100 articles in research journals, including the Journal of Production Economics and Flexible Services and Manufacturing Journal. He is especially interested in the electronics and automotive industries. Ott, a Ph.D. in electrical engineering from the University of Virginia, also teaches at the school. Before entering academia, she worked for Siemens, Motorola, and IBM.
Graded: Students can earn a verified certificate for $50 by completing all course requirements.
Description: DMAIC – Define, measure, analyze, improve, and control – are quality engineering fundamentals that serve as the foundation behind methodologies like six sigma. In this course, students will understand the theoretical fundamentals and statistical tools behind each of these quality components. Focusing on all aspects of the value chain – including design and development, quality control, inventory and returns, supply chains, and customer service – the course will cover methods and techniques that include “sampling, statistical process control, process capability, regression analysis, and design of experiments.”
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