Machine Learning for Infrastructure Systems

3 credits · College of Engineering catalogue

Advisory Prerequisite: None. Enforced Prerequisite: Graduate or senior standing. (3 credits) Machine learning techniques – supervised, unsupervised, and Bayesian learning – with real-world applications in infrastructure systems will be explored. Foundational theory with hands-on examples from transportation, energy, systems, etc., will equip students to develop intelligent, data-driven solutions for complex infrastructure challenges.