Class Schedule

CSE 5361 - Artificial Intelligence II
Tentative Lecture and Assignment Schedule
Spring Semester 2009 - MW 2:30 - 3:50
Class Date Readings Lecture Topics Assignments
1 01/21   Course Details and Overview  
2 01/26 RN:2 Intelligent Agents  
3 01/28 RN:11 Agents using Search and Planning  
4 02/02 RN:12 Agents using Search and Planning  
5 02/04 RN:11-13 Planning and Uncertainty  
6 02/09 RN:11-13 Planning and Uncertainty  
7 02/11 RN:14,15 Uncertainty  
8 02/16 RN:16 Uncertainty Homework 1 due ( Agent Code )
9 02/18 RN:16 Belief Networks  
10 02/23 RN:20 Learning in Bayesian Networks  
11 02/25 RN: 16 Probabilistic Agents  
12 03/02   Decision Networks  
13 03/04 RN:17 Markov Decision Processes  
14 03/09 RN:17 MDPs continued Homework 2 due ( Agent Code )
15 03/11 RN:20-21 Learning in MDPs  
  03/16   Spring Vacation- No Class  
  03/18   Spring Vacation- No Class  
16 03/23 RN:21 Reinforcement Learning  
17 03/25   Partially Observable MDPs  
18 03/30 LCK95 Partially Observable MDPs Homework 3 due ( Agent Code )
19 04/01   Sensor Processing and Uncertainty  
20 04/06 Slides Hidden Markov Models  
21 04/08   Hidden Markov Models  
22 04/13   Hidden Markov Models  
23 04/15 RN:22 Natural Language  
24 04/20 RN:23 Natural Language and Speech  
25 04/22 RN:24 Computer Vision Homework 4 ( Agent Code )
26 04/27 RN:19 Machine Learning  
27 04/29   Genetic Algorithms  
28 05/04   Multi-Agent Systems Homework 5 due ( Agent Code ), ( jahmm HMM Library , jahmm User Guide)
29 05/06   Multi-Agent Systems  
30 TBD   Project Presentation ( Sample Projects)

This schedule is tentative and subject to change. If changes are necessary they will be announced in class and posted in the schedule on the course page.


Manfred Huber
2009-01-20