Exam: Wedn., 12/17/13, 2pm-4:30pm, Baker Laboratory 200. See notes.
Hwk. #4 has been posted. See below. Due: Wedn. Dec. 10, 11:59pm on CMS.
Hwk. #3 has been posted. See below. Due: Tuesday Nov. 25, 5pm on CMS.
Midterm: Thursday Oct. 23, 7:30pm, Kimball B11. (http://registrar.sas.cornell.edu/Sched/PRELF.html)
Midterm: (1) Covers up to and including slide set #10 below (Adversarial Search), (2) Study slides and relevant Russell & Norvig parts, (3) look over Hwk #1 with solns, and (4) I released a short Hwk #2, with 3 questions to help you study/practice for the remaining materials.
Hwk. #2 has been posted. See below. Due: Wedn., Oct 22, 10am, CMS. NOTE: no extensions because soln. will be released later that day to study for midterm.
Hwk. #1 has been posted. See below. Due: Friday, Sept. 26, 10am, CMS.
Office hours: TBA
Prof. Bart Selman
Vasily Kuksenkov <firstname.lastname@example.org>
Andreas Veit <email@example.com>
Sneha Prasad Hebbur Narasimha Prasad <firstname.lastname@example.org>
Abdulkareem Adesokan <email@example.com>
Jonathan Hayon <firstname.lastname@example.org>
Humale Khan <email@example.com>
William Lee <firstname.lastname@example.org>
Siddharth Panchanathan <email@example.com>
Michael Wang <firstname.lastname@example.org>
Jerry Yeh <email@example.com>
Peaky (Alex) Yuter <firstname.lastname@example.org>
Introduction (part 1) (pdf)
Introduction, cont. (part 2) (pdf)
news link: When Machines Outsmart Humans
Search --- Uninformed (pdf)
Search --- Informed (pdf)
Search --- Local Search (pdf)
Reinforcement Learning (RL) --- Intro (pdf)
RL --- Passive
RL --- Active
Adversarial search (pdf)
Adversarial search --- Games / Deep Blue (auxiliary materials) (pdf)
Knowledge Representation and Reasoning (KR&R) --- Part I (pdf)
KR&R --- Part II (pdf))
Machine Learning --- Intro (pdf))
Decision Tree Learning (pdf))
Neural Networks (pdf))