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Welcome to Spring Semester 2013
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Syllabus
This syllabus is subject to change. In particular, dates for unreleased materials are only estimates and are likely to change slightly.
| Week | Dates | Topic | Slides | Videos | Homework | Due | Project | Due |
| 1 | 9/24 - 9/30 | Introduction to AI | small large | videos | ||||
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| 2 | 10/1 - 10/7 | Search and Planning | small large | videos | HW1: Search | 10/7 | P1: Search | 10/14 |
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| 3 | 10/8 - 10/14 | Constraint Satisfaction Problems | HW2: CSPs | 10/14 | ||||
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| 4 | 10/15 - 10/21 | Game Trees and Decision Theory | HW3: Games | 10/21 | P2: Games | 10/28 | ||
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| 5 | 10/22 - 10/28 | Markov Decision Processes (MDPs) | HW4: MDPs | 10/28 | ||||
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| 6 | 10/29 - 11/4 | Reinforcement Learning (RL) | HW5: RL | 11/4 | P3: RL | 11/11 | ||
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| 7 | 11/5 - 11/11 | Conclusion and Wrap-Up | Practice Final | 11/11 | ||||
| 8 | 11/12 - 11/18 | No Lecture, Final Exam Week | Final | 11/18 | ||||
WEEK 2
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