Stanford University · Course
Decision Making Under Uncertainty (AA228)
Decision Making Under Uncertainty (AA228) is a ten-week Stanford Online graduate course on computational methods for decisions with stochastic dynamics, model uncertainty and imperfect state information, with applications in aviation, autonomous vehicles and robotic exploration.
Who it suits
- Engineers building autonomous or decision-support systems.
- Learners who want probabilistic models and decision theory in a computational setting.
What it covers
- Bayesian networks and influence diagrams.
- Dynamic programming and reinforcement learning.
- Partially observable Markov decision processes.
- Applications in air traffic control, aviation surveillance, autonomous vehicles and planetary exploration.
Before you start
- Stanford lists a conferred bachelor’s degree with an undergraduate GPA of 3.0 or better.
Common questions about Decision Making Under Uncertainty (AA228)
- How long is it?
- Stanford lists 10 weeks at 9 to 15 hours a week, for 3 to 4 academic units.
- Is it open for enrolment?
- Stanford’s page said it was not open when we read it and showed it as offered in autumn; check the page.
- Which certificates count it?
- Stanford lists several, including the Artificial Intelligence and Robotics and Autonomous Systems graduate certificates.
More like this
Keep learning on Infrato
- Path: AI for software developers
- More from Stanford University: all Stanford University listings in the directory
- Explore all AI courses
Where this comes from
Written from Stanford University’s own pages, read on 2026-10-14. Content, prices and availability change, so the provider’s page is the source. We are not affiliated with Stanford University and this is not an endorsement.