SUNY Korea Computing Society
CSE 352 - Artificial Intelligence
CSE 352 - Artificial Intelligence
Topics covered include critique of artificial intelligence research; state-space problem representations and search algorithms; game-playing programs; theorem-proving programs; programs for the study and simulation of cognitive processes and pattern recognition. Further topics in current research as time permits.
| Details | Description |
|---|---|
| Credits | 3 |
| Prerequisites | C or higher in CSE 216 or CSE 219 or CSE 260; CSE major |
| Coordinator | Byungkon Kang |
Course Outcomes
An understanding of the fundamentals of knowledge representation, inference and theorem proving Working knowledge of reasoning in the presence of uncertain or incomplete information using techniques from machine learning An ability to apply knowledge representation and machine learning techniques to problems drawn from natural language processing, planning, robotics and intelligent agents.
Course Topics
| Topic | Materials |
|---|---|
| No topics added |
Textbooks
The Essence of Artificial Intelligence by Alison Cawsey; Prentice Hall (ISBN #978-0135717790)
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