Sensors are embedded in so many systems that we interact with, that we can take for granted how much we rely on them. A normal garage door system can have up to 10 different sensors and a car can have nearly 100! Sensors are also used to collect large amounts of data about the world for research purposes, as well as performing complex control over many systems that we rely on. Analyzing this sensor data can help us make important decisions about our lives, cities, and environment. In this class you will 1) learn about sensor and data technology, 2) learn and practice electrical engineering through circuits labs, 3) assemble real sensor prototypes, and 4) program microcontrollers to control physical systems. You will get hands-on experience with electrical engineering, programming, and controlling physical systems with your own software. Dr. Will Barbour is a research scientist at the Institute for Software Integrated Systems at Vanderbilt University. His teaching and research interests focus on advanced computing techniques applied to transportation systems; examples include big data analytics, machine learning, optimization, and artificial intelligence. He currently works on the I-24 MOTION testbed, seeking to establish a nationally-recognized study area for automated vehicle technologies on an open roadway in Tennessee. Will’s other domain interests include pedestrian and cyclist accessibility, public transit planning, and transportation policy and equity. Dr. Barbour received his Ph.D. in civil engineering from Vanderbilt University, an M.S. degree in sustainable and resilient infrastructure systems from the University of Illinois at Urbana-Champaign, and a B.S. in Biosystems Engineering from the University of Tennessee, Knoxville. He has previously worked at Oak Ridge National Laboratory and CSX Transportation.