Calender - 473 Autumn 2003
Turn in copy of your summary of readings on dates indicated
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Monday Sept 29 	- syllabus, state space search
Wednesday Oct 1 - lecture: from DFS to A*
Friday Oct 3 - how to implement an A* search algorithms in Java
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Monday Oct 6 - planning with A*
Wednesday Oct 8 - lecture: expressivity and complexity of STRIPS planning
Friday Oct 10 - planning in plan space
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Monday Oct 13 - hierarchical planning
Wed Oct 15 - introduction to propositional logic
Fri Oct 17 - reasoning with propositional logic: DPLL
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Mon Oct 20 - Feedback on planners - Jeffry Bigham teaches
Wed Oct 22 - Local search - Walksat
Fri Oct 24 - Resolution
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Mon Oct 27 - Prolog 
Wed Oct 29 - IN CLASS EVALUATION
Fri Oct 31 - Games - minimax
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Mon Nov 3 - Games - alpha/beta
Wed Nov 5 - Midterm exam
Fri Nov 7 -  Probabilistic planing & games of chance (6.5, 13.1-13.4)
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Mon Nov 10  - Bayes rule; Naive Bayes (13.5-13.6)
Wed Nov 12  - Bayesian Nets: semantics  (14.1-14.2)
Fri Nov 14  - Exact inference in Bayesian nets (14.4)
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Mon Nov 17 - Monte Carlo inference algorithms (14.5)
Wed Nov 19 - Maximum Likelihood learning with complete data (20.1-20.2)
                  note: skip pages 719-722
Fri Nov 21 - Project 3 discussion [project 2 due]
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Mon Nov 24 - Learning with incomplete data (EM) (20.3)
Wed Nov 26 - Neural networks I (20.5)
Fri Nov 28 - Thanksgiving - no class
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Mon Dec 1 - Neural networks II (20.5) 
Wed Dec 3 - Decision trees I (18.1-18.2)
Fri Dec 5 - Decision trees II (18.3)   [project 3 due]
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Mon Dec 8 - Overview of advanced topics:
   DBN's, MDP's, POMDP's, reinforcement learning
Wed Dec 10 - Philosphical foundations (1.1, 26.1, 26.2) [No notes necessary]
Fri Dec 12 - Final Exam
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Programming projects:

1. A* planner
2. Using Java Bayes
3. Building a SPAM filtering using naive Bayes or neural nets