Decision-Making for Autonomous Systems
link Source: www.edx.org
date_range Starts on September 17, 2021
event_note Ends on October 28, 2021
list 6 sequences
assignment Level : Advanced
chat_bubble_outline Language : English
card_giftcard 840 point
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Key Information

credit_card Free access
verified_user Fee-based Certificate
timer 60 hours in total

About the content

In autonomous vehicles such as self-driving cars, we find a number of interesting and challenging decision-making problems. Starting from the autonomous driving of a single vehicle, to the coordination among multiple vehicles.

This course will teach you the fundamental mathematical model for many of these real-world problems. Key topics include Markov decision process, reinforcement learning and event-based methods as well as the modelling and solving of decision-making for autonomous systems.

This course is aimed at learners with a bachelor's degree or engineers in the automotive industry who need to develop their knowledge in decision-making models for autonomous systems.

Enhance your decision-making skills in automotive engineering by learning from Chalmers, one of the top engineering schools that distinguished through its close collaboration with industry.

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Syllabus

  • Use Markov decision process (MDP) a mathematical framework for modellingdecision-making
  • Understand and apply reinforcement learning and event-based methods
  • Model and solve decision-making problems for autonomous systems
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Instructors

Jonas Sjöberg
Professor, Research group leader, Mechatronics, Electrical engineering
Chalmers University of Technology

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Content Designer

Chalmers University of Technology
Chalmers University of Technology
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Platform

Edx

Harvard University, the Massachusetts Institute of Technology, and the University of California, Berkeley, are just some of the schools that you have at your fingertips with EdX. Through massive open online courses (MOOCs) from the world's best universities, you can develop your knowledge in literature, math, history, food and nutrition, and more. These online classes are taught by highly-regarded experts in the field. If you take a class on computer science through Harvard, you may be taught by David J. Malan, a senior lecturer on computer science at Harvard University for the School of Engineering and Applied Sciences. But there's not just one professor - you have access to the entire teaching staff, allowing you to receive feedback on assignments straight from the experts. Pursue a Verified Certificate to document your achievements and use your coursework for job and school applications, promotions, and more. EdX also works with top universities to conduct research, allowing them to learn more about learning. Using their findings, edX is able to provide students with the best and most effective courses, constantly enhancing the student experience.

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