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.
The Decision-Making for Autonomous Systems Certificate, which is part of Emerging Automotive Technologies MicroMasters Program and is also offered by EdX in partnership with Chalmers University of Technology - ChalmersX, 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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What you'll learn
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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- 49 days
- 10 hrs/week
Start dates & application deadlines
DisciplinesStatistics Data Science & Big Data View 505 other Short Courses in Data Science & Big Data in United States
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We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
We are not aware of any English requirements for this programme.
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International249 USD/fullTuition FeeBased on the tuition of 249 USD for the full programme during 49 days.
National249 USD/fullTuition FeeBased on the tuition of 249 USD for the full programme during 49 days.
- Limited access: Free
- Unlimited access + Verified Certificate for $249 USD