Artificial Intelligence

Geiger, Davi


The final exam is Tuesday, May 13th, at 7 pm in room 101, WWH. More information below

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

Mailing list link

Office Hours and Location: Wednesdays 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


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

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

Informed Search (ppt)

Adversarial Search (ppt)

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

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

First Order Logic (FOL) (ppt)

Inference in FOL (ppt)

The extra class is this Friday, April 11th, at 3 pm (*not 5 pm*) in room 109, WWH. We will complete the inference in first order logic.

5. Uncertainty & Learning
Uncertainty and Probability (ppt)

Bayesian Probability (ppt)

Learning (ppt)

Evaluation: 60% final exam, 40% mid term exam. Hoemworks are provided to help students learn the material, but no grading will be done.

Midterm Exam: Tuesday March 11th.
MidtermExam.Solution (pdf)

Final Exam: May 13th, 7pm to 9 pm
It covers all the material in the course, including chapter 18th, but not chapter 20th.
Last year, 2007, exam and solution is here (pdf)

Homeworks: Students are encouraged to work with others. There is no grading. Solutions will be posted two weeks after the problems are posted.

Homework1 (txt)
Posted January 30th.

Solution1 (pdf)
Posted February 20th.

Homework2 (txt)
Posted February 20th.

Solution2 (pdf)
Posted February 27th.

Homework3 (txt)
Posted April 1st.

Solution3 (pdf)
Posted April 20th.

Homework4 (txt)
Posted April 20th.

Solution4 (pdf)
Posted April 20th.