WORCESTER POLYTECHNIC INSTITUTE
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Class | Date | Reading | Notes | Due | Material | Slides | Video |
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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 |
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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 |
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5 | Mon 18 Mar | 3.5-3.7 | 5 | Exam 1 | Solving problems by searching - informed |
05-InformedSearch.pptx chapter03.pdf |
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6 | Tue 19 Mar | 4.1-4.2 | 6 | . | Beyond classical search |
06-07-ContinuousSearch.pptx chapter04a.pdf chapter04b.pdf |
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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 |
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9 | Mon 25 Mar | 6.1-6.2 | 9 | Exam 2 | Constraint satisfaction problems 1 |
09-CSP.pptx chapter06.pdf |
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10 | Tue 26 Mar | 6.3-6.4 | 10 | . | Constraint satisfaction problems 2 |
09-CSP.pptx chapter06.pdf |
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11 | Thu 28 Mar | 7.1-7.8 | 11 | . | Logical agents & Propositional logic |
10-Logic.pptx 11-Logic.pptx chapter07.pdf |
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12 | Fri 29 Mar | 8.1-8.3 | 12 | Proj 1 | First order logic |
12-Logic.pptx chapter08.pdf |
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13 | Mon 1 Apr | 9.1-9.5 | 13 | Exam 3 | Inference in first order logic |
13-Logic.pptx chapter09.pdf |
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14 | Tue 2 Apr | 10-10.3, 10.4.4, 11.1-11.2.2 | 14 | . | Planning. |
14-ClassicalPlanning.pptx 14-PlanningInRealWorld.pptx |
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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 |
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17 | Mon 8 Apr | 13.4-13.5 | 17 | Exam 4 | Quantifying uncertainty - independence and Bayes' rule |
17-BayesianNetworks.pptx chapter13.pdf |
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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 |
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19 | Thu 11 Apr | 18.1-18.4 | 19 | . | Learning from examples |
19-IntroToMachineLearning.pptx 1x-DecisionTrees.pptx chapter18.pdf |
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20 | Fri 12 Apr | 18.7-18.8 | 20 | Proj 2 | Learning from examples - artificial neural networks |
20-NeuralNets.pptx chapter18.pdf |
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-- | 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 |
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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). |
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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). |
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