Reference material

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= Topics and Playlist 2012 =
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6= Topics and Playlist 2015 =
Assignment of material to quizzes is tentative, but final assignment will be announced
Assignment of material to quizzes is tentative, but final assignment will be announced
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! September !!Day!! Topic !! Quiz #  !! Playlist  
! September !!Day!! Topic !! Quiz #  !! Playlist  
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5 || Wed || What it's all about ||<!-- 1 --> || Start me up, Stones
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9 || Wed || What it's all about ||<!-- 1 --> || Start me up, Stones
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| 10 || Mon || [http://courses.csail.mit.edu/6.034f/ai3/saint.pdf Goal trees and problem solving] || 1 || This could be the last time, Stones
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| 11 || Fri || [http://courses.csail.mit.edu/6.034f/ai3/saint.pdf Goal trees and problem solving] || 1 || This could be the last time, Stones
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| 12 || Wed || [http://courses.csail.mit.edu/6.034f/ai3/ch3.pdf Rule-based expert systems (pp.53-60)] || 1 || Engineer's Song, Chorallaries
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| 14 || Mon || [http://courses.csail.mit.edu/6.034f/ai3/ch3.pdf Rule-based expert systems (pp.53-60)] || 1 || It's Only Rock and Roll
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| 14 || Fri || [http://courses.csail.mit.edu/6.034f/ai3/ch4.pdf Basic search] || ---|| Searchin', Beatles
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| 16 || Wed || [http://courses.csail.mit.edu/6.034f/ai3/ch4.pdf Lightning review: Basic search] || 1 || Searchin', Beatles<br> Route 66, Stones
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| 17 || Mon || [http://courses.csail.mit.edu/6.034f/ai3/ch5.pdf Optimal search] || 1 || Route 66, Stones
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| 18 || Fri || [http://courses.csail.mit.edu/6.034f/ai3/ch5.pdf Optimal search] || 1 || Trouble, Keith Richards
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| 19 || Wed || [http://courses.csail.mit.edu/6.034f/ai3/ch6.pdf Games] || 1 || It's Only Rock and Roll, Stones
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| 21 || Mon || [http://courses.csail.mit.edu/6.034f/ai3/ch6.pdf Games] || 1 || Olympic Anthem
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| 24 || Mon || [http://courses.csail.mit.edu/6.034f/ai3/ch12.pdf Constraints in interpretation] || 2srn || I Can't Get No Satisfaction, Stones
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| 23 || Wed || [http://courses.csail.mit.edu/6.034f/ai3/ch12.pdf Constraints in interpretation] || 2 || I Can't Get No Satisfaction, Stones
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| 26 || Wed || Quiz 1|| - || -
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| 25 || Fri || Constraints in resource allocation || 2 || Paint it Black, Stones
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| 28 || Mon || [http://courses.csail.mit.edu/6.034f/sussman Gerald J. Sussman: Propagator systems] || 2srn || -
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| 30 || Wed || Quiz 1|| - || -
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! October !!Day!! Topic !! Quiz #!! Playlist
! October !!Day!! Topic !! Quiz #!! Playlist
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| 1 || Fri || [http://courses.csail.mit.edu/6.034f/ai3/ch19.pdf Nearest neighbor learning] /[http://courses.csail.mit.edu/6.034f/sleep.pdf Sleep] || 2 || ABC song, Ray Charles et al.
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| 5 || Mon || [http://courses.csail.mit.edu/6.034f/ai3/ch21.pdf Identification tree learning] || 2 || - <!-- Romanian national anthem, Desteapta-te române! -->
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| 1 || Mon|| Constraints in resource allocation || 2 || Paint it Black, Stones
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| 7 || Wed || [http://courses.csail.mit.edu/6.034f/ai3/ch25.pdf Genetic algorithms] || 3srn || Let's spend the night together, Stones
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| 3 || Wed || [http://courses.csail.mit.edu/6.034f/ai3/ch26.pdf Constraints in recognition] || 2srn || The First Time I Saw your Face, Flack
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| 9 || Fri || Edward Boyden: Real neural nets || 2srn || -
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| 5 || Fri || [http://courses.csail.mit.edu/6.034f/sussman Gerald J. Sussman: Propagator systems] || 2srn ||
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| 12 || Mon || Holiday: Columbus day || - || -
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| 10 || Wed|| [http://courses.csail.mit.edu/6.034f/ai3/ch19.pdf Nearest neighbor learning] /[http://courses.csail.mit.edu/6.034f/sleep.pdf Sleep] || 2 || ABC song, Ray Charles et al.
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| 12 || Fri|| [http://courses.csail.mit.edu/6.034f/ai3/ch21.pdf Identification tree learning] || 2 || TBD <!-- Romanian national anthem, Desteapta-te române!  -->
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| 13 || Tue || [http://courses.csail.mit.edu/6.034f/ai3/netmath.pdf Neural net learning] || 3 || 19th Nervous Breakdown, Stones 
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| 14 || Wed || Deep neural nets  || 4srn || Ain't no mountain high enough, Marvin Gaye
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| 16 || Fri || Nancy Kanwisher: What lights up when you think || 2srn || -
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| 19 || Mon || [http://courses.csail.mit.edu/6.803/pdf/yip.pdf Learning in sparse spaces] || 3/3srn || You talk too much, Peas
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| 21 || Wed || Quiz 2|| - || -
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| 23 || Fri || [http://courses.csail.mit.edu/6.034f/ai3/ch16.pdf Learning from near misses] || 3/3srn || Miss You, Stones <!-- Shippin up to Boston, Dropkick Murphys Imma Be Rocking
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that Body, Peas -->
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| 26 || Mon || [http://courses.csail.mit.edu/6.034f/ai3/SVM.pdf Support-vector machines], [http://ai6034.mit.edu/fall11/images/SVM_and_Boosting.pdf SVM (and Boosting) Notes] || 3 || Oh no, not you again, Stones
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| 15 || Mon|| [http://courses.csail.mit.edu/6.034f/ai3/netmath.pdf Neural net learning] || 3 || 19th Nervous Breakdown, Stones 
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| 28 || Wed || To be determined || - || -
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| 30 || Mon ||  Mathew Wilson: What rats think about || 3srn || -

Revision as of 22:33, 1 October 2015

6= Topics and Playlist 2015 =

Assignment of material to quizzes is tentative, but final assignment will be announced well before each quiz.

srn in an assignment means the material will be in the "spiritual" and "right-now" part of the quiz. See Grading and collaboration policy.

September Day Topic Quiz # Playlist
9 Wed What it's all about Start me up, Stones
11 Fri Goal trees and problem solving 1 This could be the last time, Stones
14 Mon Rule-based expert systems (pp.53-60) 1 It's Only Rock and Roll
16 Wed Lightning review: Basic search 1 Searchin', Beatles
Route 66, Stones
18 Fri Optimal search 1 Trouble, Keith Richards
21 Mon Games 1 Olympic Anthem
23 Wed Constraints in interpretation 2 I Can't Get No Satisfaction, Stones
25 Fri Constraints in resource allocation 2 Paint it Black, Stones
28 Mon Gerald J. Sussman: Propagator systems 2srn -
30 Wed Quiz 1 - -
October Day Topic Quiz # Playlist
1 Fri Nearest neighbor learning /Sleep 2 ABC song, Ray Charles et al.
5 Mon Identification tree learning 2 -
7 Wed Genetic algorithms 3srn Let's spend the night together, Stones
9 Fri Edward Boyden: Real neural nets 2srn -
12 Mon Holiday: Columbus day - -
13 Tue Neural net learning 3 19th Nervous Breakdown, Stones
14 Wed Deep neural nets 4srn Ain't no mountain high enough, Marvin Gaye
16 Fri Nancy Kanwisher: What lights up when you think 2srn -
19 Mon Learning in sparse spaces 3/3srn You talk too much, Peas
21 Wed Quiz 2 - -
23 Fri Learning from near misses 3/3srn Miss You, Stones
26 Mon Support-vector machines, SVM (and Boosting) Notes 3 Oh no, not you again, Stones
28 Wed To be determined - -
30 Mon Mathew Wilson: What rats think about 3srn -
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