CS 680:Advanced AI Winter 2011
Dr. Regli's Office Hours are 14:00-15:00 M-W, right before class.
The syllabus for the course is available here.
Homework #1 is available here.
Lecture Unit 1: Introduction to Uncertainty.
Lecture Unit 2: Bayes Nets (Ch 14 from R&N).
Lecture Unit 3: Inference in Bayes Nets (Ch 14 from R&N).
Lecture Unit 4: Kalman Filtering (Not from R&N).
Lecture Unit 5: Particle Filtering (Not from R&N).
Lecture Unit 6: Temporal Probability (Ch 15 from R&N).
Example of the Dishonest Casino (Dynamic Bayes Nets).