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CMSC 462 - Artificial Intelligence

Institution:
Shippensburg University of Pennsylvania
Subject:
Description:
Overview of artificial intelligence. Emphasis on basic tools of AI, search and knowledge representation, and their application to a variety of AI problems. Search methods include depth-first, breadth-first, and AI algorithms; knowledge representation schemes include propositional and predicate logics, semantic nets and frames, and scripts. Planning using a STRIPS-like planner will also be addressed. Areas that may be addressed include natural language processing, computer vision, robotics, expert systems, and machine learning. This class is available for graduate credit.
Credits:
4.00
Credit Hours:
Prerequisites:
CMPE 211 (Grade of C or Higher) or SWEN 200 (Grade of C or Higher)
Corequisites:
Exclusions:
Level:
Instructional Type:
Lecture
Notes:
Additional Information:
Historical Version(s):
Institution Website:
Phone Number:
(717) 477-7447
Regional Accreditation:
Middle States Association of Colleges and Schools
Calendar System:
Semester

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