This tutorial provides an in depth review of the ever evolving technical area called Data Analytics, a subset of Big Data, that encompasses data analysis, data fusion, data storage, data sources, infrastructure and technology, screening and filtering algorithms, machine learning, and complexity. These techniques will be introduced with respect to their individual contribution to data analytics and to their combined contributions to data analytics systems. Specific use cases will be presented in which participants will observe, both through presentation and videos, the individual and combined applications and value of these techniques and systems for specific commercial and Department of Defense (DoD) use cases. Participants will emerge from this tutorial with a focused understanding of data analytics principles and techniques that will enable them to apply these concepts toward building engineering systems for mission decision support. This tutorial is applicable to individuals interested in systems engineering with respect to analysis of complex systems, mission support, and automated decision aides. Paul Hershey works for Raytheon Technologies Company, where he is a Principal Engineering Fellow focusing on data analytics, autonomous systems, modeling and simulation, and cyber security. He has been an IEEE member since 1980. He received his Ph.D. and M.S. degrees in electrical engineering from the University of Maryland, College Park, MD, USA, and his A.B. degree in mathematics from the College of William and Mary, Williamsburg, VA, USA. He has published 39 patents (granted) and over 60 peer-reviewed technical articles. Previously, Dr. Hershey was an adjunct professor at George Washington University where he also served on the Curriculum Advisory Board. He presently serves on technical program committees for the IEEE International Systems Conference and the IEEE International System of Systems Engineering Conference. He is a Distinguished Lecturer on data analytics for the IEEE Systems Council.
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