- 0
- 51 weeks long, 10-20 hours a week
- edX
- English
Course Overview
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.
Course Circullum
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.
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This Course Include:
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.
- Provider:edX
- Certificate:Certificate Available
- Language:English
- Duration:51 weeks long, 10-20 hours a week
- Language CC: