2011-2012 University Catalog 
  
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2011-2012 University Catalog

STAT 719 - Computational Models of Probabilistic Reasoning

Credits: 3 (NR)
Introduces theory and methods for building computationally efficient software agents that reason, act, and learn environments characterized by noisy and uncertain information. Covers methods based on graphical probability and decision models. Students study approaches to representing knowledge about uncertain phenomena, and planning and acting under uncertainty. Topics include knowledge engineering, exact and approximate inference in graphical models, learning in graphical models, temporal reasoning, planning, and decision making. Practical model building experience is provided. Students apply what they learn to semester-long project of their choosing.

Equivalent to OR 719/CSI 775

Prerequisite(s): STAT 652 or SYST/STAT 664, or permission of instructor.

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