Pennsylvania State University 3 credits EMET
Exploration of central concepts and technologies of smart manufacturing with focus on the internet of things, data analytics for production data, simulation and digital twins, and process and manufacturing systems optimization. Smart Manufacturing introduces the concepts and technologies of modern data-driven smart manufacturing. The purpose of the course is to empower students to incorporate smart manufacturing thinking and technologies into manufacturing processes. Key smart manufacturing topics that the student will explore include the industrial internet of things, data analytics and predictive machine learning, simulation and the digital twin, and process and manufacturing systems optimization. The course includes a laboratory component to provide students experience with implementing these technologies. The laboratory exercises are a mix of hardware development via internet of things sensor collection, software use for data analysis and visualization, numerical modeling for digital twin creation, and systemic process optimization.
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