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Class Schedule (Tentative)
Date
Topic
Reading
01.
Jan 23
Probability Basics
Russel Norvig Ch. 13
Homework 0
posted. Due 01/31/08 by noon.
02.
Jan 28
Probabilistic Reasoning
Russel Norvig Ch. 14.1-14.3
03.
Jan 30
Exact Inference
Russel Norvig Ch. 14.4
04.
Feb 04
Sum Product Algorithm
Factor Graph paper
05.
Feb 06
Approximate Inference: Stochastic
Russel Norvig 14.5
06.
Feb 11
Approximate Inference: MCMC
MCMC Survey
07.
Feb 13
Approximate Inference: MCMC (Contd.)
Homework 1
posted. Due 02/21/08 by noon.
08.
Feb 18
Probabilistic Reasoning over Time I
Russell Norvig Ch. 15.1-15.2
09.
Feb 20
Probabilistic Reasoning over Time I (Contd.)
Russell Norvig 15.2
10.
Feb 25
Probabilistic Reasoning over Time I (Contd.)
Russell Norvig Ch 15.2-15.3
11.
Feb 27
Probabilistic Reasoning over Time II
Russell Norvig Ch. 15.4-15.5
Homework 2
posted. Due 03/06/08 by noon.
12.
Mar 03
Making Simple Decisions
Russell Norvig Ch. 16
13.
Mar 05
Markov Decision Processes
Russell Norvig Ch. 17.1-17.2
14.
Mar 10
Markov Decision Processes (Contd.)
Russell Norvig Ch. 17.3-17.4
15.
Mar 12
Midterm Review
Mar 17
Spring Break
Mar 19
Spring Break
16.
Mar 24
Game Theory
Russell Norvig Ch. 17.6
17.
Mar 26
Midterm
18.
Mar 31
Game Theory (Contd.)
19.
Apr 02
Learning from Observations
Russell Norvig 18.1-18.3
20.
Apr 07
Learning, Boosting
Russell Norvig 18.4
21.
Apr 09
Boosting (Contd.)
Homework 3
posted. Due 04/18/08 by noon.
22.
Apr 14
Learning Theory
Russell Norvig 18.5
23.
Apr 16
Statistical Learning
Russell Norvig 20.1-20.2
24.
Apr 21
Neural Networks
Russell Norvig 20.5
25.
Apr 23
Reinforcement Learning
Russell Norvig 21.1-21.2
Homework 4
posted. Due 05/02/08 by noon.
26.
Apr 28
Reinforcement Learning (Contd.)
27.
Apr 30
Reinforcement Learning (Contd.)
28.
May 05
Learning with Hidden Variables
Russell Norvig 20.3
39.
May 07
Final Review
40.
May 15
Final Exam
1:30-3:30pm
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Last modified on April 30, 2008
Artificial Intelligence II