George Mason University
George Mason University Mason
George Mason University

OR 719: Graphical Models for Inference and Decision Making

Instructor Information

Section Information

Theory and methods for inference and decision making in environments characterized by uncertain information. Covers graphical probability and decision models. Studies 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 provided. Students apply what they learn to a project of their own choosing.

Course Information from University Catalog

Credits: 3

Prerequisites:

Instructor Information
Expertise