WORCESTER POLYTECHNIC INSTITUTE
Computer Science Department

*** Still Changing ***

CS4341 - Artificial Intelligence
D'13 - SCHEDULE

Version: Sat Mar 23 15:03:36 EDT 2013

Mon, Tue, Thu, Fri - 3:00 pm - AK 233

Class Date Reading Notes Due Material Slides Video
1 Mon 11 Mar 1 1 . Introduction chapter01.pdf .
2 Tue 12 Mar 2-2.3 2 . Intelligent agents 02-03-IntelligentAgents.pptx
chapter02.pdf
.
3 Thu 14 Mar 2.4, 3.1 3 . Intelligent agents.
Problem-solving agents.
02-03-IntelligentAgents.pptx .
4 Fri 15 Mar 3.2-3.4 4 Proj 0 Solving problems by searching: uninformed. 04-UninformedSearch.pptx
chapter03.pdf
.
5 Mon 18 Mar 3.5-3.7 5 Exam 1 Solving problems by searching - informed 05-InformedSearch.pptx
chapter03.pdf
.
6 Tue 19 Mar 4.1-4.2 6 . Beyond classical search 06-07-ContinuousSearch.pptx
chapter04a.pdf
chapter04b.pdf
.
7 Thu 21 Mar 4.1 7 . Genetic Algorithms (for Project 3) -- .
8 Fri 22 Mar 5.1-5.4 8 . Adversarial search 08-AdversarialSearch.pptx
chapter05.pdf
.
9 Mon 25 Mar 6.1-6.2 9 Exam 2 Constraint satisfaction problems 1 09-CSP.pptx
chapter06.pdf
.
10 Tue 26 Mar 6.3-6.4 10 . Constraint satisfaction problems 2 09-CSP.pptx
chapter06.pdf
.
11 Thu 28 Mar 7.1-7.8 11 . Logical agents & Propositional logic 10-Logic.pptx
11-Logic.pptx
chapter07.pdf
.
12 Fri 29 Mar 8.1-8.3 12 Proj 1 First order logic 12-Logic.pptx
chapter08.pdf
.
13 Mon 1 Apr 9.1-9.5 13 Exam 3 Inference in first order logic 13-Logic.pptx
chapter09.pdf
.
14 Tue 2 Apr 10-10.3, 10.4.4, 11.1-11.2.2 14 . Planning. 14-ClassicalPlanning.pptx
14-PlanningInRealWorld.pptx
.
15 Thu 4 Apr 8.4, 12.1-12.6 15 . Knowledge representation . .
16 Fri 5 Apr 13.1-13.3 16 . Quantifying uncertainty 16-Probability.pptx
chapter13.pdf
.
17 Mon 8 Apr 13.4-13.5 17 Exam 4 Quantifying uncertainty - independence and Bayes' rule 17-BayesianNetworks.pptx
chapter13.pdf
.
18 Tue 9 Apr 14.1-14.2, 14.4, 16.1-16.2 18 . Probabilistic reasoning
Making simple decisions.
18-BayesianInference.pptx
chapter14a.pdf
chapter16.pdf
.
19 Thu 11 Apr 18.1-18.4 19 . Learning from examples 19-IntroToMachineLearning.pptx
1x-DecisionTrees.pptx
chapter18.pdf
.
20 Fri 12 Apr 18.7-18.8 20 Proj 2 Learning from examples - artificial neural networks 20-NeuralNets.pptx
chapter18.pdf
.
-- Mon 15 Apr -- -- -- Patriots Day - No Classes -- --
21 Tue 16 Apr 19.1-19.3 21 Exam 5 Knowledge in learning . .
-- Thu 18 Apr -- -- -- Project Presentation Day - No Classes -- --
22 Fri 19 Apr 21.1-21.2 22 . Reinforcement Learning 22-ReinforcementLearning.pptx .
23 Mon 22 Apr 22.1-22.4 23 Exam 6 Natural Language Processing 23-NLP.pptx
chapter22.pdf
.
24 Tue 23 Apr 23 24 . Natural language for communication 24-NLP.pptx .
25 Thu 25 Apr 24 25 . Perception . .
26 Fri 26 Apr IBM's Watson system 26 Proj 3 Natural language processing;
Hypothesis generation;
Evidence-based learning
ppt slides What is?;
Introduction;
Science;
Jeopardy;
Destroys;
Future.
27 Mon 29 Apr -- 27 Exam 7 i. {TA evaluation forms}
ii. An Intro to WPI CS AI Research -- Profs. Beck (3:15pm), Chernova (3:30).
. .
28 Tue 30 Apr -- 28 . i. {Instructor evaluation forms}
ii. An Intro to WPI CS AI Research -- Profs. Rich (3pm), Sidner (3:15), Heffernan (3:30).
. .