Electronic Engineering for Intelligent Vehicles University of Parma

Overview

The Electronic Engineering for Intelligent Vehicles course at University of Parma, entirely taught in English and designed in synergy with the industrial partners of the MUNER consortium, offers the choice between two curricula: Electronic and Communication Systems and Autonomous Driving Engineering.

Career prospects

The Graduate in Electronic Engineering for Intelligent Vehicles will have a multidisciplinary training allowing him to understand, propose and adapt what is being developed in the flourishing field of Information and Communication Technologies, playing a fundamental role in the innovation of the automotive sector whose future evolution will increasingly depend on such technologies.

The overall education, focused on Electronics as the founding language of information-related technologies, allows to successfully work in all the contexts in which electronic devices are paired to physical systems to acquire, process, and control their behavior.

The ability of communicating with the other Information Technology disciplines, allows the Graduate in Electronic Engineering for Intelligent Vehicles to be an ideal candidate to play the role of project manager in the conception, design, realization and maintenance of complex systems in which the overall functionality depends on the interaction of multiple heterogeneous systems with a strong electronic component.

Based also on the chosen curriculum the Graduate will:

Electronic and Communication System (ECS): understand the operating principles and design constrains of the fundamental electronic and communication devices and subsystems as well as how they can be controlled and securely connected with each other and the surrounding environment in automotive and motorbike applications.

Autonomous Driving Engineering (ADE): be able to deal with concepts, methods and architectures used to enable advanced driver assistance systems up to fully autonomous driving.  They will be able to participate in concept development, design requirements, and operating strategies to account for the safety and functionality of end-users and intelligent transportation systems dealing with perception devices, intelligent algorithms and methods, and planning and control strategies.