Advanced Artificial Intelligence (Winter 2008)

Revision as of 18:52, 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).

Lecture Unit 6: Temporal Probability (Ch 15 from R&N).

Example of the Dishonest Casino (Dynamic Bayes Nets).

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