Calendar

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Contents

Tentative Syllabus, 2007

September

Monday Tuesday Wednesday Thursday Friday
5
What is AI?
Pset 0 released
6
No recitations
7
No recitations or mega-recitation
10
Symbolic integration
11 12
Goals and rules (pp.53-60)
Pset 0 due
13
Pset 1 released
14
Mega-recitation: 11 AM in 32-123
17
Basic search
18 19
Optimal search
Pset 1 due
20 21
Mega-recitation
24
Student Holiday
25
Students in Monday tutorials should attend a Tuesday tutorial.
26
Quiz 1 in lecture
27
Pset 2 released
28
No mega-recitation this week

October

Monday Tuesday Wednesday Thursday Friday
1
Games
2
3
Constraints in drawings
Pset 2 due
4
5
Mega-recitation
8
Columbus Day, Holiday
9
Columbus Day, Holiday
10
Constraints in maps and schedules
11

Pset 3 released
12
Mega-recitation
15
Learning to recognize objects
16
17
Frames and representation
Pset 3 due
18
19
Mega-recitation
22
Genetic algorithms
23
24
Quiz 2 in lecture
25
26
No mega-recitation this week
29
Nearest neighbor learning
30
31
Identification tree learning
Pset 4 out

November

Monday Tuesday Wednesday Thursday Friday
1
2
Mega-recitation
5
Neural net learning
6
7
Support-vector machines
Pset 4 due
8
9
Mega-recitation
12
Veterans Day, holiday
13
14
Quiz 3 in lecture
15
16
Mega-recitation
19
Self-organizing maps
20
21
The AI BIZ
Drop date
22
Thanksgiving, Holiday
23
Thanksgiving, Holiday
26
Boosting
27
28
Learning from near misses
29
30
Mega-recitation


Pset 5 due

December

Monday Tuesday Wednesday Thursday Friday
3
Architectures for intelligence and are we just rats with big brains
4
5
Quiz 4 in lecture
6
7
Mega-recitation
10
Cross-modal clustering and birdsongs
11
12
Farewell summary and discussion of the final
13
14
17
18
Final, Walker, 9-12
29
29
21
24
25
26
27
28
31
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