Lecture | Date | Topic | Recommended Readings (from Russell and Norgiv) | Lecture Slides | Comments & Additional notes |
Introduction. What is AI | Chapter 1 presents a more complete and very interesting overview of the history and goals of AI research.Chapter 2 also contains some interesting ideas about one way to think about the structure AI systems. | Lectures-01-Introduction.pdf4 per page | |||
2 | Search | Chapter 3 presents the search techniques covered in the lectures as well as other ideas not covered. | Lectures-02-Heuristic-Search.pdf4 per page | . | |
3 | Backtracking Search | Chapter 5 talks about CSPs which are a general way of representing a useful class of search problems | Lectures-03-Backtracking-Search.pdf4 per page | ||
4 | Game Tree Search | Chapter 6 talks about Game tree search, which are search problems when facing an opponent. | Lectures-04-Game-Tree-Search.pdf4 per page | ||
5 | Knowledge Representation | Chapters 7 to 10. Especially chapters 8 and 9. | Lectures-05-KR.pdf4 per page | ||
6 | Reasoning Under Uncertainty | Chapters 13 and 14 | Lectures-06-Uncertainty.pdf4 per page | ||
7 | Planning | Chapters 11 and 12 | Lectures-07-planning.pdf4 per page | ||
7 | Decision Making under Uncertainty | Chapter 16 | Lectures-08-Decision-Making.pdf4 per page | . | |
Thursday, March 3, 2011
Lectures slides
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