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Emerging Automotive Technologies

Chalmers University of Technology via edX MicroMasters


The automotive industry is changing in fundamental ways with the increased focus on sustainable and self-driving cars. Today, the internal combustion engine is increasingly complemented or even replaced with an electric motor. Vehicles are becoming more and more autonomous, creating an ever-increasing need for better software. Consequently, skilled automotive engineers are required to meet the demands of this new environment.

In this MicroMasters program, you will learn the fundamentals of not only how a vehicle is designed, but also how to model and simulate the vehicle dynamics. Learn how to implement intelligent perception and decision procedures needed for self-driving cars and how model-based design is widely used in industry to accurately simulate the vehicle but also to design efficient algorithms.

Graduates from the MicroMasters program will be equipped with the necessary skills for a career within the automotive industry and will have a broad perspective of the emerging technologies within the development of automotive technologies.


Courses under this program:
Course 1: Electric and Conventional Vehicles

Learn how electric and conventionalpowertrains work and methods to analysetheir performance and energy consumption.

Course 2: Road Traffic Safety in Automotive Engineering

Learn the fundamentals of passive and active safety in automotive engineering

Course 3: Hybrid Vehicles

Learn to design hybrid powertrains which meet the needs of modern vehicles, by combining the strengths of both electric motors and combustion engines

Course 4: Model-Based Automotive Systems Engineering

Learn how to model and simulate system dynamics in automotive engineering

Course 5: Sensor Fusion and Non-linear Filtering for Automotive Systems

Learn fundamental algorithms for sensor fusion and non-linear filtering with application to automotive perception systems.

Course 6: Multi-Object Tracking for Automotive Systems

Learn how to localize and track dynamic objects with a range of applications including autonomous vehicles

Course 7: Decision-Making for Autonomous Systems

Learn effectivetactics for making keydecisionswhen working with autonomous, self-driving vehicles.


Taught by

Sven Andersson, Mats Svensson, Anders Grauers, Jonas Fredriksson, Lennart Svensson, Yuxuan Xia, Jonas Sjöberg, Robert Thomson, Lars Hammarstrand, Karl Granström, Marco Dozza, Giulio Bianchi Piccinini, Jonas Bärgman and András Bálint


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