BIOINF 2120 - SYMBOLIC METHODS IN ARTIFICIAL INTELLIGENCE

Minimum Credits: 3
Maximum Credits: 3
This course is designed for students who do not necessarily have a background in computer science and want to learn and apply methods in artificial intelligence to problems in biomedicine. The course will introduce and provide the foundations of artificial intelligence methods in logical knowledge representation and reasoning, biomedical ontologies and terminologies and information retrieval. Prerequisites for this course include introductory mathematics and programming.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad LG/SNC Basis
Course Requirements: PREQ: BIOINF 2012 and 2015

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