Systems for intelligent fleet management include dispatching emergency ambulances, garbage trucks, firefighting drones, relief-support vehicles, taxi cars, ride-pooling vans, cargo ships, and microtransit minibuses. Such systems must exercise fair and efficient control over vehicles and also make decisions in the face of ethical dilemmas such as those that occur in the trolley problem. In this course, students will put their hands on developing such systems.

During the course, students will learn about system design, algorithm design, problem modeling, problem-solving, and decision-making. Course prerequisites are skills in mathematics, programming (e.g. Python, C, Java, C++), statistics (e.g. mean, standard deviation), or ethics. Course activities include normally developing research ideas, individual supervision, team tasks, invited talks, as well as potential conference participation.