This course aims to give students a system level knowledge of in-vehicle data communication networks, of standards and applicability of wireless communication systems, and of the most relevant network technologies for connected and automated vehicles, which include connected vehicles’ services and connected vehicles’ functions. The course starts with an overview on Intelligent Transport Systems (ITS) and wireless networks, which represent the main pillar for the next generation of Cooperative, Connected and Automated Mobility (CCAM). Indeed, vehicles are no longer purely mechanical systems. Electronic Control Units (ECUs), distributed in the vehicle body, implement a wide range of functions, ranging from vehicle dynamic control (ABS, ASD, ESP,...) to driver assistance, safety functions, vehicle automation, to entertainment and digital information. The complexity of these functions is steadily increasing and un the coming years they will more widely rely on wireless communication services to provide their services. In this fast changing scenario, communication systems for vehicles assume a pivotal role. Then, the most relevant protocols for in-vehicle (CAN, LIN, Automotive Ethernet) and inter-vehicle (DSRC, C-V2X) communications will be presented, with a focus on the communication between vehicle to infrastructure and vehicle to vehicle. The course will also present the basics of network simulation tools, which represent a key enabler for testing in advance safety-critical and large scale use cases for connected and automated mobility. Part of the course will be dedicated to a laboratory activity in which students, in groups, will use a connected vehicle simulator to gain hands-on experience on standard-compliant wireless communication systems based on Wi-Fi, and on how different communication parameters affect the performance of the network. Part of the course will also be dedicated to connected vehicle use cases and enablers, with a group discussion and presentation. This part of the course will be highly interactive and will be aimed at discussing and identifying solutions to technical challenges that arise with the most recent technologies and use cases for CCAM.