ISSP 2160 - FOUNDTNS OF ARTIFICIAL INTELLGNC Minimum Credits: 3 Maximum Credits: 3 The principal topics of AI are: representation knowledge, reasoning and problem solving, knowledge acquisition and machine learning, robotics, and natural language understanding. This course surveys these areas in order to provide an understanding of artificial intelligence methods and research problems. Specific topics include: action and object-centered representations, the search paradigm, planning and constraint satisfaction, qualitative reasoning, analogical reasoning, default reasoning, induction, other methods of learning, and knowledge engineering. Academic Career: Graduate Course Component: Lecture Grade Component: Grad LG/SNC Basis Course Requirements: PLAN: Intelligent Systems (MS, PHD) Click here for class schedule information.
Add to Portfolio(opens a new window)
|