Javascript is currently not supported, or is disabled by this browser. Please enable Javascript for full functionality.

Skip to Main Content
University of Pittsburgh    
2019-2020 Graduate & Professional Studies Catalog 
    
 
  May 09, 2021
 
2019-2020 Graduate & Professional Studies Catalog [Archived Catalog]

Add to Portfolio(opens a new window)

CS 2710 - FOUNDTNS OF ARTIFICIAL INTELLGNC


Minimum Credits: 3
Maximum Credits: 3
This course covers the foundational techniques in artificial intelligence, including: problem definition and analysis, heuristic search, adversarial search, knowledge representation, planning and constraint satisfaction, and methods for reasoning under uncertainty. Attention will be given to the roles of these techniques in the design of intelligent agents.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad LG/SNC Basis
Course Requirements: PLAN: Computer Science (CS-PHD; CS-MS; CSMSBS-MS) or Computer Engineering (COEAS-PHD; COEAS-MS; COEENG-PHD; COEENG-MCO)


Click here for class schedule information.



Add to Portfolio(opens a new window)
Catalog Navigation