CENG 533

Probabilistic Reasoning

Graphical Probability Models. Bayesian Reasoning. Bayesian Networks. Learning in Bayesian Networks. Knowledge Engineering. Temporal Models. Inference in Dynamic Bayesian Networks. Markov Decision Processes.

Topics
Introduction
Graphical Probability Models
Representing Knowledge in an Uncertain World
Bayesian Reasoning
Inference in Bayesian Networks
Learning in Bayesian Networks
Summary and Examination
Knowledge Engineering
Bayesian Network Applications
Temporal Models
Inference in Dynamic Bayesian Networks
Markov Decision Processes
Partially Observable Markov Decision Processes
Project Presentations