2009-2010 University Catalog 
  
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2009-2010 University Catalog

IT 819 - Computational Models for Probabilistic Inference

Credits: 3
Graphical models for encoding conditional independence assumptions in a multivariate discrete probability distribution. Includes computational methods for updating probabilities when evidence is observed on some variables in model. Algorithms for finding most probable instantiation of network. Applications in expert systems and decision analysis.

Prerequisites
SYST 664 or 652

Hours of Lecture or Seminar per week
3
Hours of Lab or Studio per week
0