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Elio Masciari, Salvatore Strano, Sergio Savino, Alfredo Renga, Domenico Accardo, and Giancarmine Fasano

This specialization is intended for students seeking to explore the Autonomous Vehicle sector, which is undergoing profound transformation in today’s world. It offers a general overview of modern electronic and information technologies used in the Automotive and Aerospace fields and provides skills for several industrial sectors.

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This specialization is intended for students seeking to explore the Autonomous Vehicle sector, which is undergoing profound transformation in today’s world. It offers a general overview of modern electronic and information technologies used in the Automotive and Aerospace fields and provides skills for several industrial sectors.

Through the courses you will develop a multidisciplinary know-how: the all-important big data management, the principles of modelling and simulation of mechatronic systems, and how to develop the specifications for safe autonomous flight systems.

Today an aircraft can fly without a pilot and there are many different applications of autonomous systems, for example delivering a pizza directly to your home. Learn how the planes can find the right trajectory, recognise and avoid obstacles, and turn or increase speed.

The lessons focus on case studies in three engineering fields: robotics, controlled electro-hydraulic actuators and smart devices.

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What's inside

Three courses

A quick tour on Big Data and Business Intelligence

(4 hours)
This course provides a quick overview of basic concepts in Big Data and AI for beginners and practitioners. Topics include the CAP theorem, Turing assumption, and more.

Autonomous Aerospace Systems

(0 hours)
The course provides the knowledge needed to design and develop efficient driving and navigation solutions for autonomous vehicles. Driving can be strategic or tactical while navigation provides information about the vehicle's position, speed, and orientation.

Modelling and simulation of mechanical systems

(3 hours)
The course provides the principles of modelling and simulation of modern mechatronic systems, which are mechanical systems integrated with sensors and actuators. The aim is to show methodologies to improve mechanical systems by transforming them into mechatronic systems based on virtual models.

Learning objectives

  • How to schematize a real system
  • How to mathematically model multi-physics systems
  • How to analyse experimental measures
  • How to build matlab/simulink models

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