Calendar

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This calendar provides the course lecture topics and related readings from the suggested course textbook, Artificial Intelligence. 3rd edition, by Patrick H. Winston.


LEC # LEC DAY TOPIC FOCUS SPEAKER TOPICS
1 Wed - PHW Introductory preview: what is AI?
2 Mon R PHW Rules in symbolic integration, a case study, pp. 61
3 Wed R PHW Rules in rule-based expert systems, pp. 53-60, 119-137
4 Mon R PHW Basic search, Chapter 4
5 Wed R PHW Optimal search, Chapter 5
6 Wed R PHW Search in games, Chapter 6
7 Mon R PHW Constraint in the blocks world, pp. 249-272
8 Wed R PHW Constraint in maps and schedules
9 Mon R PHW Rules implemented via the Rete Algorithm, pp. 138-160
10 Wed - - In-class examination
11 Wed R PHW Constraint in language, Chapter 29
12 Mon R PHW Frames as representation paradigm, pp. 179-202
13 Wed R PHW Frames as inference mechanism, pp. 202-206
14 Mon R PHW Learning by nearest neighbors Chapters, 19
15 Wed R PHW Learning by building identification trees, Chapter 21
16 Mon L PHW Learning by back propagation in neural nets, Chapter 22
17 Wed L PHW Learning by evolving a solution, Chapter 25
18 Wed L PHW Support Vector Machines
19 Mon - - In-class examination
20 Wed L,S PHW Learning by analyzing differences, Chapter 16
21 Mon L,S PHW Learning by exploiting linear combinations in vision, Chapter 26
22 Wed - PHW What I learned about biz after I thought I knew everything
23 Mon L,S PHW Learning by exploiting sparse spaces in speech
24 Wed S G Pawan Sinha
25 Mon L,S PHW Learning by explanation and repair, Chapters 17 and 18, evaluation
26 Wed - PHW Farewell Summary

Topic Focus

R = Focus on Reasoning   L = Focus on Learning   S = Focus on Science 

Speaker

PHW = Patrick Winston   G = Guest