This course focuses on Intelligent Transportation Systems (ITS) with emphasis on Advanced Traffic Control and Management Systems (ATMS) and applications of Artificial Intelligence (AI) in ATMS. Topics include: Overview and Introduction to ITS; Traffic Flow Modeling for ITS: Macroscopic, Microscopic and Mesoscopic; Transportation Networks Modeling and Traffic Assignment; Genetic Algorithms (GA) for Optimization (Artificial Intelligence Part I); Applications of GA: Emergency Evacuation Optimization, Origin-Destination; Estimation, Dynamic Congestion Pricing; Artificial Neural Networks (Artificial Intelligence Part II); Applications of NN: Automated Incident Detection (AID), Short-Term Traffic Flow; Forecasting Traffic Control and Optimization Theoretical Primer; Reinforcement Learning (Artificial Intelligence Part III); Introduction to Deep Learning (Deep NN + RL); Freeway Traffic Control and Optimization; Street Traffic Control and Optimization. Other Research Topics (time permitting), e.g., Modelling and Exploiting Vehicle Automation and Connectivity for 21st Century Traffic Control.