Calendar 2006

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Contents

September

Monday Tuesday Wednesday Thursday Friday
6
What is AI?
Pset 0 released
7
No recitations
8
No recitations or mega-recitation
11
Symbolic integration
12 13
Goals and rules (pp.53-60)
Pset 0 due
14
Pset 1 released
15
Mega-recitation: 11 AM in 32-123
18
Basic search
19 20
Optimal search
Pset 1 due
21 22
Mega-recitation
25
Student Holiday
26
Students in Monday tutorials should attend a Tuesday tutorial.
27
Quiz 1 in lecture
Pset 2 released
28 29
Mega-recitation

October

Monday Tuesday Wednesday Thursday Friday
2
Games
3
4
Genetic algorithms
5
6
Mega-recitation
9
Columbus Day, Holiday
10
Columbus Day, Holiday
11
Constraints in drawings
12
13
Mega-recitation
16
Constraints in maps and schedules
17
18
Frames and representation
19
20
Mega-recitation
23
Learning to recognize objects
24
25
Quiz 2 in lecture
26
27
Mega-recitation
30
Nearest neighbor learning
31

November

Monday Tuesday Wednesday Thursday Friday
1
Identification tree learning
2
3
Mega-recitation
6
Neural net learning
7
8
Self-organizing maps
9
10
Veterans Day, Holiday
13
Support-vector machines
14
15
Quiz 3 in lecture
16
17
Mega-recitation
20
Boosting
21
22
The AI Busines
23
Thanksgiving, Holiday
24
Thanksgiving, Holiday
27
Learning from near misses
28
29
Learning by explanation
30

December

Monday Tuesday Wednesday Thursday Friday
1
Mega-recitation
4
To be determined
5
6
Quiz 4 in lecture
7
8
Mega-recitation
11
To be determined
12
13
Farewell summary
14
15
18
19
20
21
22
25
26
27
28
29