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CS 890AJ - Directed Readings in Bayesian Methodologies
Students should understand basic principles of Bayesian networks, including representation (Bayesian and Markov networks) and inference (variable elimination and join tree propagation). A comprehensive project, including a functioning system and extending the field in a new direction, is required. 3.000 Credit hours 0.000 TO 3.000 Lecture hours 0.000 TO 3.000 Other hours Levels: Graduate Schedule Types: Lecture, Directed Reading, Examination Computer Science Department Restrictions: Must be enrolled in one of the following Levels: Graduate

CS 890AJ - Directed Readings in Bayesian Methodologies

Students should understand basic principles of Bayesian networks, including representation (Bayesian and Markov networks) and inference (variable elimination and join tree propagation). A comprehensive project, including a functioning system and extending the field in a new direction, is required.
3.000 Credit hours
0.000 TO 3.000 Lecture hours
0.000 TO 3.000 Other hours

Levels: Graduate
Schedule Types: Lecture, Directed Reading, Examination

Computer Science Department

Restrictions:
Must be enrolled in one of the following Levels:
Graduate

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