Important announcements related to the course will be posted here. Please check this page regularly.
- December 8 - Assignment 5 solutions have been posted on Blackboard.
- December 8 - Extra credit assignment posted on Blackboard.
- December 1 - The Final Exam will be held in room 135 Shillman
Hall on December 15
- November 17 - Assignment 5 posted on the website and
Blackboard. Submission is due in class on December 1.
- November 2 - Solutions to the Midterm have been posted on
Blackboard under Course Material.
- October 20 - Assignment 4 posted on the website and
Blackboard. Submission is due through Blakboard by November 10.
- October 19 - Midterm Exam will be held in room 135 Shillman
Hall on October 27
- October 7 - Solutions for Assignment 2 have been posted on
Blackboard under Course Material
- October 7 - Assignment 3 posted on the website and
Blackboard. Submission of Part I is due in class on October 13 and
Part II through Blakboard by October 20.
- September 21 - Final Exam date finalized for December 15
- September 15 - Assignment 2 posted on the website and
Blackboard. Submission of Part I
is due in class on September 29 and Part II through Blackboard by October 6 11:59 pm.
- September 8 - Assignment 1 posted on the website and
is due through Blackboard by September 15 11:59 pm.
- September 7 - Office hours for Prof. Sliva have changed.
- September 2 - Classroom changed to 435 Ryder Hall.
- July 14 - Class website is up and running!
First day of
class: September 8--6:00-9:00pm.
|Professor Amy Sliva
|Office: 256 West Village H
|Office Hours: Th 3:30pm-4:30pm
| Abdorrahim Bahrami
|Office: Computer Aided Reasoning Lab (LAB 316)
||This course introduces the fundamental problems, theories, and algorithms of the
artificial intelligence field. Topics covered include: automated deduction and problem-solving; heuristic search and planning; Bayesian inference and statistical learning methods; natural language processing. Required course work
includes the creation of working programs that solve problems, reason
logically, and/or improve their own performance using techniques
presented in the course.
|| 435 Ryder Hall
|| Thursday 6:00-9:00pm
||Artificial Intelligence: A Modern Approach
(3rd Edition) by Stuart Russell and Peter Norvig, Prentice Hall (2010) (ISBN 0-13-604259-7).|
See the resources page
for more useful online links and recommended texts.