Autonomous Vehicle Engineering

Università di Napoli Federico II

This Autonomous Vehicle Engineering specialization at Università di Napoli Federico II offers a comprehensive exploration of the rapidly evolving sector, providing essential skills and knowledge for operating in the Automotive and Aerospace industries. Students will delve into cutting-edge electronic and information technologies, gaining expertise in big data management, mechatronic system modeling, and autonomous flight system specifications.

The curriculum encompasses multidisciplinary learning, with a focus on robotics, controlled electro-hydraulic actuators, and smart devices. Through case studies and practical applications, students will master the art of schematizing real systems, mathematically modeling multi-physics systems, and analyzing experimental measures. Additionally, they will develop proficiency in building Matlab/Simulink models.

Upon completion of this specialization, graduates will be adept at designing and managing autonomous systems, poised to contribute to groundbreaking advancements in the field.

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Autonomous Vehicle Engineering
Course Modules

This program covers essential topics such as big data management, autonomous aerospace systems, and modeling and simulation of mechanical systems. Students will develop a strong foundation in these areas, preparing them for success in the autonomous vehicle sector.

A quick tour on Big Data and Business Intelligence

A quick tour on Big Data and Business Intelligence is the first module, focusing on managing big data, building a big data framework, extracting value from big data, and designing an AI process.

Autonomous Aerospace Systems

The second module, Autonomous Aerospace Systems, delves into designing and developing efficient driving and navigation solutions for autonomous vehicles, ensuring students acquire vital skills for this dynamic field.

Modelling and simulation of mechanical systems

Modelling and simulation of mechanical systems is the focus of the third module, where students will learn to schematize real systems, mathematically model multi-physics systems, and develop Matlab/Simulink models.

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