University at Buffalo 3 credits Computer Science & Engineering
This course introduces basic and advanced signal processing and Machine Learning algorithms that aid in mobile computing and IoT. It will brush the fundamentals of signals and systems that is critical to understand the rest of the material. It will then focus more on wireless signals based mobile computing and IoT systems that can aid in a broad spectrum of applications ranging from localization, navigation, breathing, heart-rate estimation, autonomous driving perception and many more to come. It will also cover algorithms that can use IMUs for tracking that can be used in health, sports and other applications. It will wrap with some latest algorithms across the intersection of ML and IoT systems. This course is dual-listed with CSE 525. Requisites: CSE 220, CSE 250, and (EAS 305 or EE 305 or CIE 308 or CE 305 or MTH 411 or STA 301 ), and School of Engineering and Applied Science Major.
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