Engineering Data Analytics
David S. Kim
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Engineering Data Analytics

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Engineering Data Analytics introduces students to foundational concepts within the discipline, the centrality of models in analysis methodologies, and the significance of probability in dealing with uncertain quantities. The textbook provides engineering students with the skillsets necessary to evaluate complex systems-whether physical or operational-when closed form or simulation approaches are unavailable or inadequate, as is often the case. The book sheds light on the complex tapestry of engineering data analytics, covering statistical quality control to experimental design strategies. It o...