| Date |
Lecture |
Reading |
HW |
Presentations |
| Sep. 3 |
Introduction. Course
logistics. History
of AI. notes |
Ch. 1, AIMA |
||
| Sep. 8 |
Agents. notes |
Ch. 2, AIMA |
||
| Sep. 10 | Uninformed search. notes |
Ch. 3, AIMA
(w/o
3.6 and bidirectional search) |
Problem
Set 1, due 9/18 Scores Stats |
|
| Sep. 17 |
Informed search. notes |
Ch. 4, AIMA, Sec. 4.1-4.3 |
||
| Sep. 22 |
Online search. notes |
Ch. 4, AIMA,
Sec. 4.5 |
Problem
Set 2, due 9/29 Scores Stats |
|
| Sep. 22 |
Constraint satisfaction problem. notes |
Ch. 5, AIMA |
||
| Sep. 24 |
Multi-agent search and games. notes |
Ch. 6, AIMA |
||
| Oct. 1 |
Logical agents. notes |
Ch. 7 (w/o 7.6 & 7.7) |
Problem
Set 3 Due 10/6 Scores Stats |
|
| Oct. 6, 8 |
First-order logic.notes |
Ch. 8 & 9,
AIMA |
Problem
Set 4 Due 10/13 Scores Stats |
|
| Oct. 8, 13 |
Planning. notes |
Ch. 10 (Sec. 3) & 11 (Sec.
1-3), AIMA |
Problem
Set 5 Due 10/18 at 5:00pm Scores Stats |
|
| Oct. 15 |
Uncertainty. Introduction to
probability. notes |
Ch. 13, AIMA |
||
| Oct. 20 |
Midterm problems solution
scores stats |
|||
| Oct. 22 |
Bayesian networks I. notes |
Ch. 14, AIMA |
||
| Oct. 27 |
Hidden Markov models. |
Ch. 15, AIMA |
||
| Oct. 29 |
Bayesian networks II. notes |
Ch. 14, AIMA |
Problem
Set 6 Due 11/12 Scores Stats |
"BN Software" Takahashi, Rafael & Wald, Robert presentation |
| Nov. 3 |
Hidden Markov models. notes |
Ch. 15, AIMA |
"Finding
genes using HMMs" Visuvasam, Rohan & Holodak, Scott |
|
| Nov. 5 |
Kalman filters and dynamic
Bayesian networks. notes |
Ch. 15, AIMA | ||
| Nov. 10 |
Decision making under
uncertainty. notes example |
Ch. 16, AIMA |
"Human motion modeling
and Kalman filters" Marcel, Cody & Jaheriss, James |
|
| Nov. 12 |
Markov decision processes. notes |
Ch. 17, AIMA |
Problem
Set 7 Due 11/26, 5pm Scores Stats |
"Indexing
and searching of audio content on the web" Holmes, Michael & Shoyket, Alex |
| Nov. 17 |
Decision trees. notes |
Ch. 18, AIMA | "User
modeling for human-computer interaction" Caldarella, Christophe & Son, Justin |
|
| Nov. 19 |
Statistical learning. notes |
Ch. 20, AIMA | "Spam filtering using
Bayesian classifiers" Kijak, Nicolas & Schlund, Thomas |
|
| Nov. 24 |
EM algorithm. notes |
Ch. 20, AIMA | ||
| Dec. 1 |
Neural networks. notes |
Ch. 20, AIMA | Problem
Set 8 Due 12/10 |
"EM-based
Segmentation of motion in video" Pao, Henry & Sim, Phil |
| Dec. 3 |
Kernels and SVMs. notes |
Ch. 20, AIMA | "Optical
character recognition using NNs" Hedberg, Joseph & Silkotch, Sara |
|
| Dec. 8 |
Reinforcement learning. notes |
Ch. 21, AIMA | "AI
techniques for churn reduction in wireless industry" Yaragatti, Mahesh & Smolney, Nicholas |
|
| Dec. 10 |
Speech and language modeling.
Computer vision. Medical informatics. Review session notes. |
"Face
detection using SVMs" Gilbert, Ezra & Chen, Andrew "Elevator control using reinforcement learning" McEnroe, Timothy & Wong, James "DBNs for speech modeling" Spoltore, Roy, Soares, Guilherme & Valz, Kori |
||
| Dec.
17 |
Final: 8am - 11am. problems solutions grades |
