Artificial Intelligence

Tuesday and Thursday, 2:00-3:15
Room 202, Warren Weaver Hall
Professor Ernest Davis

Reaching Me

Prerequisites: V22.0201 (Computer Systems Design I) and V22.0301 (Basic Algorithms)

Required textbooks

Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach, 3rd edition. (Be sure you get the third edition, which has a blue cover.)

Class mailing list

You should be automatically subscribed to the class email list at this link.


There are many cognitive tasks that people can do easily and almost unconsciously but that have proven extremely difficult to program on a computer. Artificial intelligence is the problem of developing computer systems that can carry out these tasks. We will focus on three central areas in AI: natural language processing, representation and reasoning, and learning.




All assignments should be uploaded onto the NYU Classes site. Problem sets should be in either plain text, PDF, or Word.

Problem sets and programming assignments are due at the beginning of class on the due date. Problem sets will be accepted up to a week late with a penalty of 1 point out of 10. Programming assignments will be accepted up to two weeks late with a penalty of 1 point out of 10 the first week and 2 points the second week.


CYK Parse algorithm.
CYK Parse Example.
Semantic Interpretation
Text Interpretation
Notes on ambiguity
Propositional Logic
Davis-Putnam Procedure
Davis-Putnam: Example
Examples of first-order languages and sentences
Guide to Expressing Facts in a First-Order Language
Inference in Datalog
Trace of the subroutine "consequences"
1R learning algorithm
Tagging NL text using the K-gram model
ID3 algorithm
ID3 example
Clustering Algorithms
Minimum description length learning


The midterm exam will be Thursday, March 13.
Topics on Midterm Exam.
Sample Midterm Exam.
Solutions to Sample Midterm Exam.

The final exam will be Tuesday May 13, 2:00-3:50, WWH 102.
Topics on Final Exam


You may discuss any of the assignments with your classmates (or anyone else) but all work for all assignments must be entirely your own. Any sharing or copying of assignments will be considered cheating. By the rules of the College of Arts and Science, I am required to report any incidents of cheating to the department. My policy is that the first incident of cheating will result in the student getting a grade of F for the course. The second incident, by CAS rules, will result in a semester suspension from the College.

In general you may not use material found on the web in assignments. If in some particular case, you think it is legitimate to use material found on the web, consult with me personally. If you think it is legitimate and for whatever reason are unable to consult with me, then include a specific citation of where it comes from; that way, it is clear that you had no dishonest intention in mind. (Your grade may be docked, because you did not do the assignment yourself, but it will not be treated as cheating.) If it is determined that you got material from the web, and you did not include a citation, then that constitutes dishonest concealment of sources, and will be considered cheating.

CS Department policy on academic dishonesty