The ubiquity of Electronic and Information Technology in today’s and tomorrow’s vehicles is a mandatory requirement for achieving safer, greener, and more enjoyable drive.
This calls for up-to-date professionals devoted to the development, design, and integration of Electronic and Information Technology subsystems into new generation vehicles. The aim of the Inter-University Master’s Degree in Electronic Engineering for Intelligent Vehicles (EEIV) of the Motor Vehicle University of Emilia Romagna (MUNER) is to train engineers capable of operating in this challenging and exciting field, with specific focus on the understanding of the main Electronic and Communication Systems as well as Autonomous Driving applications.
The Electronic Engineering for Intelligent Vehicles course, entirely taught in English and designed in strong cooperation with MUNER companies operating in the automotive sector, is organized in two curricula, each one of which open to 25 students: Electronic and Communication Systems (ECS) and Autonomous Driving Engineering (ADE). The syllabus has been designed in strong cooperation with MUNER Companies operating in the automotive sector to allow seamless insertion of the EEIV graduate in high-profile roles in the research, development, and manufacturing environments focused on vehicles and automotive technologies.
What you will learn
Common for ECS (Electronic and Communication Systems) and ADE (Autonomous Driving Engineering) - Taught in Bologna
Mandatory - 24 CFU
Advanced automotive sensors - 6 CFU
Hardware-software design of embedded systems I.C. - 12 CFU
Automatic control - 6 CFU
Guided choice elective courses - 12 CFU
Power electronics for automotive - 6 CFU
Test, Diagnosis and Reliability - 6 CFU
Statistics and machine learning for signal processing - 6 CFU
ECS curriculum (Taught in Bologna)
Mandatory - 15 CFU
Signals and systems for vehicular communications - 6 CFU
Wired and wireless interconnections - 9 CFU
Guided choice elective courses - 6 CFU
Dynamics and compliant design of road vehicles - 6 CFU
Deep learning for engineering applications - 6 CFU
Guided choice elective courses - 3 CFU
Ground vehicle dynamics - 3 CFU
Connected vehicles - 3 CFU
ADE curriculum (Taught in Bologna)
Mandatory - 21 CFU
Image processing and computer vision - 6 CFU
Vehicular radio propagation - 9 CFU
Deep learning for engineering applications - 6 CFU
ECS curriculum (Taught in Modena)
Mandatory - 12 CFU
Applied topics in automotive electronics - 12 CFU
Guided choice elective courses - 12 CFU
Artificial intelligence for automotive - 6 CFU
Automotive connectivity - 6 CFU
Automotive cyber security - 6 CFU
Industrial co-teaching - 6 CFU
Modeling and control of electromechanical systems - 6 CFU
ADE curriculum (Taught in Parma)
Mandatory - 15 CFU
Electronics and lighting technologies for automotive - 12 CFU
Computer engineering laboratory - 3 CFU
Guided choice elective courses - 12 CFU
3D perception, Learning-based data fusion - 6 CFU
Autonomous driving and ADAS technologies - 6 CFU
Path and trajectory planning - 6 CFU
Vehicular communications - 6 CFU
Virtual systems and Human machine interface - 6 CFU
Common for ECS and ADE
Free choice courses - 12 CFU
Final examination with optional internship - 24 CFU
Attendance for laboratory activities is compulsory for 70% of the hours.
After graduation
The Graduate in Electronic Engineering for Intelligent Vehicles will have a multidisciplinary training allowing to understand, propose and adapt what is developed in the flourishing field of Information and Communication Technologies, playing a key role in the innovation of the automotive sector, the future evolution of which will increasingly depend on these technologies.
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 provide for vehicle functionality and end-user safety, and intelligent transportation systems based on perception devices, intelligent algorithms and methods, and planning and control strategies.
Every degree course has one or more professors who can provide information and help future students clarifying their doubts about attending the course.
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