These are other on-line sources of information about the qual, AI research, AI courses at Stanford, and people in and out of the QUAIL group.

The Qual

• The Stanford Computer Science Ph.D. requirements.
• Ronny Kohavi's Reading List from 1994 (postscript)
• Ronny Kohavi's Qualifying Exam Study notes

The QUAIL Study Group (1996-1997)

• Eyal Amir
• Urszula Chajewska (URL?)
• Patrick Doyle
• Lise Getoor
• Pedrito Maynard-Reid II
• Avi Pfeffer
  
  
• Click here to search for pages on the net that refer to this web site.

Research References

• A Survey of Cognitive and Agent Architectures

On-Line AI Courses

Stanford

• CS 157: Computational Logic. (Spring 1994 and 1995) Course notes. Taught by Mike Genesereth.
  
• CS 221: Introduction to Artificial Intelligence Course Homepage.
  
• CS 221: Introduction to Artificial Intelligence (Autumn 1995) Course notes. Taught by Jean-Claude Latombe.
  
• CS 221b: Artificial Intelligence Annex (Spring 1995) Course Notes. Taught by Scott Benson
  These notes are actually difficult to use because they lack the figures. However, Scott has assembled some good references.
  
• CS 229: Introduction to Machine Learning (Spring 1996) Course Homepage. Taught by Nils Nilsson and Pat Langley.
  
• CS 323: Applications of Nonmonotonic Reasoning (Winter 1996) Course Homepage. Taught by John McCarthy.
  
• CS 329: Knowledge Representation and Reasoning under Uncertainty (Winter 1996) Course Homepage. Taught by Daphne Koller.
  
• CS 329: Agent Architectures (Fall 1996) Course Homepage. Taught by Karl Pfleger.
  
• CS 523: Readings in Artificial Intelligence (Winter 1996) Course Homepage. Taught by Mehran Sahami.
  

Berkeley

• CS 294-3: Logics for Reasoning under Uncertainty (Fall 1994, Berkeley) Course Homepage. Taught by Daphne Koller.