Mobile and Ubiquitous Computing. 3 credits, 3 contact hours

Catalog description

This course presents a comprehensive view of mobile and ubiquitous computing, from design choices for various mobile/IoT/robotic platforms to their applicability in smart cities, smart homes and digital health, and pertinent performance trade-offs in the context of mobile sensing. Topics will introduce fundamentals of sensing and analytics as applicable to smart phones, personal wearables, edge processors, AR/VR systems, and mobile robots, and will cover a range of techniques relevant to applications, systems, networking, localization, activity classification, and deep learning under resource constraints. The course will also introduce students to emerging paradigms such as intermittent computing and human-robot teaming. Students will participate in instructor-led weekly discussions, acquire practical programming skills for various mobile platforms through in-class labs, critique mobile systems research papers through in-class presentations, and work on a semester-long project.