G22.2560-001

Artificial Intelligence

Geiger, Davi


 

Classes are schedule Wednesdays 7:00 pm to 8:50 pm, 251 Mercer St, Room 101.

Mailing list link

Office Hours and Location: Tuesdays 4:00 to 6:00 pm, at 719 Broadway Room 1225.


Books: Artificial Intelligence: A Modern Approach. (Second Edition) by Stuart Russell and Peter Norvig


Syllabus:

1. Introduction to Artificial Intelligence.
Intelligent Agents (ppt)

2. Problem Solving: Search, Informed Search, Game Playing
Search (ppt)

Informed Search (ppt)

Adversarial Search (ppt)

2.Computer Vision and Inference
Introduction to Computer Vision and Inference (ppt)



2. Knowledge and Logic
Propositional or Boolean Logic (ppt)

First Order Logic (FOL) (ppt)

Inference in FOL (ppt)



3. Uncertainty & Learning
Uncertainty and Probability (ppt)

Bayesian Probability (ppt)

Learning (ppt)



Evaluation: 35% homeworks, 40% final exam, 25% mid term exam.

Midterm Exam: Wednesday March 7th.
Solution (pdf)


Final Exam: Wednesday May 2nd.
Final Exam Information (txt)
Solution (pdf)


Homeworks: Students are encouraged to work with others. However, each student should submit/write its own homework.

TA: Uri Klein,
Office: 715 Broadway, room 1206,
Office hours: Thursday, 11:00 am to 12:00 (noon).
email: uriklein@nyu.edu
Grading policy (pdf) , or Grading policy (word document) , or Grading policy (txt)


Homework1 (pdf) , or Homework1 (word document) , or Homework1 (txt)
Due February 7th at 9:00 pm, either at the TA's mail box or hand in to professor (see Grading policy (pdf) )
Solution1 (pdf)

Homework2 (txt) ,
Due February 28th at 9:00 pm, either at the TA's mail box or hand in to professor )
Solution2 (pdf)

Homework3 (txt) ,
Due April 11th at 9:00 pm, either at the TA's mail box or hand in to professor )
Solution3 (pdf)

Homework4 (txt) ,
Due April 25th at 9:00 pm, either at the TA's mail box or hand in to professor )
Solution4 (pdf)