ISSP 2070 - Probabilistic Methods

Institution:

University of Pittsburgh-Pittsburgh Campus

Subject:

Intelligent Systems

Description:

This seminar provides an introduction to computational approaches for probabilistic modeling and inference. A particular focus is placed on bayesian networks, although other probabilistic models also will be studied. Medical applications are emphasized, however, the principles are general and no medical knowledge is needed to take the course. The course does not require knowledge of a computer programming language. An understanding of basic probability theory would be helpful, but is not required.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.pitt.edu

Phone Number:

(412) 624-4141

Regional Accreditation:

Middle States Association of Colleges and Schools

Calendar System:

Semester

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