CS 6501 Signal Processing, Machine Learning and Control

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The CS 6501 Signal Processing, Machine Learning and Control course is the main category of Cyber-Physical Systems (CPS). It provides the essential groundwork for signal processing, machine learning, and closed-loop control. Knowledge in these areas is essential to understand and build a CPS. However, this material is not presented traditionally and cannot replace deep expertise in these topics. Instead, the principles and skills taught in this course focus on the intersection of networks and physics and how they affect each other. Such knowledge is lacking in traditional courses in these particular areas. The course consists of two modules: (i) Signal Processing and Machine Learning and (ii) Feedback Control.

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