"I enjoy mentoring students new to research on multi-disciplinary approaches to computational and predictive biomedicine."
Professor Madhavi Ganapathiraju
Submitted by Betty Savka on March 20, 2009 - 1:53pm
Course Title:
Knowledge Representation (CS 3740)
Credits:
3
Description:
The course will presuppose familiarity with AI programming techniques and research methods. Specific topics include: logic-based representations, semantic networks, frame-based representations, rule-based methods, object oriented methods, conceptual dependency networks, nonmonotonic reasoning, and specific issues in representation of casual, temporal, and spatial relations.
Prerequisites:
ISSP 2160, CS 2710 or consent of instructor
Recitations:
none
Frequency:
This course is usually offered in the spring term.