The calendar provides lecture and recitation topics, reading assignments, and homework and quiz dates. The reading assignments refer to the two recommended textbooks for the course.
N: Nilsson, N.J.
Artificial Intelligence: A New Synthesis. St. Louis: Elsevier Science & Technology Books, 1998.
R&N: Russell, S.J., and P. Norvig,
Artificial Intelligence: A Modern Approach (2nd edition). Paramus: Prentice Hall PTR, 2002.
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WEEK # |
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DAY 1 |
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DAY 2 |
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DAY 3 |
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1 |
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Introduction |
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No Recitation
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2 |
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Search
N - Chp 8
R&N - Chp 3
PS 1 due
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Search
N - Chp 9
R&N - Chp 4 |
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Recitation (PS 2)
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3 |
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Constraint Satisfaction
N - Chp 11
R&N - Chp 5
PS 2 due
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Games
N - Chp 12
R&N - Chp 6
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Recitation (PS 3)
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4 |
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Propositional Logic
N - Chp 13
R&N - Sec 7.4-6
PS 3 due
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Propositional Logic
N - Chp 13
R&N - Sec 7.4-6
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Recitation (PS 4)
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5 |
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First Order Logic
N - Chp 15
R&N - Chp 8
PS 4 due
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First Order Logic
N - Chp 15
R&N - Chp 8
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Recitation (PS 5)
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6 |
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Logical Proof
N - Chp 14, 16
R&N - Chp 9
PS 5 due
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Logical Proof
N - Chp 14, 16
R&N - Chp 9
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Recitation (PS 6)
PS 6 due
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7 |
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Quiz 1
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Rules
N - Sec 17.4
R&N Sec 9.3-4
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Recitation (PS 7) |
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8 |
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Language
R&N - Chp 22,23
PS 7 due
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9 |
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Language
R&N - Chp 22,23
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Recitation (PS 8)
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10 |
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Machine Learning
R&N - Chp 18
PS 8 due
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Decision Trees Naive Bayes
R&N - Chp 18
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Recitation (PS 9)
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11 |
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Continuous Features
R&N - Chp 19
PS 9 due
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Quiz 2
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Recitation (PS 10)
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12 |
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Linear Separators
R&N - Chp 19
PS 10 due
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Recitation (PS 11)
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13 |
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SVM
R&N - Chp 19
PS 11 due
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Neural Nets
R&N - Chp 19 |
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14 |
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Recitation (PS 12)
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15 |
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Neural Nets
R&N - Chap 19
PS 12 due
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Feature & Model Selection
R&N - Chap 19
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Recitation (PS 13)
PS 13 due
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16 |
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Learning Wrapup
R&N - Chp 19
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Philosophy |
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17 |
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Final Exam (Three hours) |
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