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As the need for AI in the curriculum is growing, there is a need for a class in reasoning under uncertainty. Topics such as Fuzzy logic and fuzzy systems are very popular but not currently covered in a course. Other topics such as HMMs are popular for speech and other signal processing applications, as is Kalman filters and their unique application to knowledge. Robotic and autonomous systems in particular must deal with uncertainty due to their reliance on their onboard sensing systems. This course will provide a solid overview of various subjects related to uncertainty. In discussions with the CE department regarding future directions in AI at KU, they agreed with the CS faculty that this would be an appropriate course to strengthen KU’s AI offerings.