Advanced Artificial Intelligence (Winter 2008)
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Revision as of 19:01, 6 February 2008
This is the page for Advanced AI for Winter 2008
Dr. Regli's Office Hours are 14:00-15:00 M-W, right before class.
The syllabus for the course is available here.
Homeworks
Homework #1 is available here.
Homework #2 is available here.
Homework #3 is available here.
Lecture slides
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).
