Application of Sensing Systems - 665.681

This course will cover the core concepts and applications of sensing systems. These include problem identification, communication, process control, types of sensors and how they work, sensor data collection techniques, data acquisition protocols, signal processing, system design (low power and mobile), machine learning, and applications including but not limited to smart health, gesture interaction, robotics, and automotive. The course is geared towards giving students direct experience in building sensing systems to act and respond (using machine learning) to information in the environment and solving programming and analytical challenges with data collected from multiple sensors. The course emphasizes an understanding of both data (using systems theory, probability, and simulation), algorithms (using synthetic and real data sets) and hardware (using IoT devices). The assignments weigh conceptual (assessments, readings, discussions, and projects) and practical (labs, problem sets) understanding equally. Prerequisites (AS.110.109 Calculus II, EN.605.206. Introduction to Programming Using Python, and some knowledge of databases and circuits)