The widespread use of wireless and mobile systems, combined with advances in machine learning, has led to the vision of the "Artificial-intelligence Internet of Things" (AIoT). In this vision, wireless signals not only interconnect, but also perceive and interact with people and the physical world. This graduate-level course will cover the fundamentals of wireless and mobile sensing, such as RF and acoustic propagation, signal processing, and machine learning. It will also explore their applications in various domains, such as digital health, human-computer interaction, virtual reality, autonomous vehicles, climate and agriculture. In each lecture, we will discuss recent research papers that introduce new designs, algorithms, protocols and applications for wireless and mobile sensing. Students will also learn how to design and build AIoT systems through a semester-long research-oriented course project.
Grading Policy
This class will be graded as follows:
Reading Questions: 20%
Participating in Class Discussions: 20%
Course Porject: 60%
Reading Questions
We will be reviewing and discussing 1-2 assigned papers during each lecture. Please read the assigned papers before the class and submit a review by the midnight the night before the class (i.e., Sunday 11:59 PM for a Monday lecture and Tuesday 11:59 PM for a Wednesday lecture). Please submit your review here.
Course Schedule and Materials
Note: the schedule below is tentative and subject to change. Please check it regularly.