4 Class Schedule











CSE 4309 / CSE 5361 - Artificial Intelligence II
Tentative Lecture and Assignment Schedule
Spring Semester 2013 - TTh 2:00 - 3:20





Class Date ReadingsLecture Topics Assignments










1 01/15 RN Ch. 1-2 Course Details and Overview





2 01/17 RN Ch. 3 Review - Search





3 01/22 RN Ch. 10.1-10.3 Review - Planning





4 01/24 RN Ch. 11.1-11.3 Review - Planning with Uncertainty





5 01/29 RN Ch. 13, 16.1-16.4 Representing Uncertainty - Probability and Decision Theory





6 01/31 RN Ch. 14.1-14.3 Uncertainty and Bayesian Networks





7 02/05 RN Ch 14.4 Bayesian Networks and Exact Inference





8 02/07 RN Ch. 14.5 Sampling-Based Inference Methods





9 02/12 RN Ch. 16.5 Decision Networks





10 02/14 RN Ch. 15.1-15.3 Markov Models Homework1 due





11 02/19 RN Ch. 15.5 Hidden Markov Models and Dynamic Bayesian Networks





12 02/21 RN Ch. 20.3.3 Hidden Markov Models





13 02/26 RN Ch. 17.1 Markov Decision Processes





14 02/28 RN Ch. 17.2-17.3 MDPs and Utility-Based Agents





15 03/05 RN Ch. 21.1-21.2 Learning Utilities for MDPs





16 03/07 RN Ch. 21.3 Learning Utilities in MDPs





03/12 Spring Vacation- No Class





03/14 Spring Vacation- No Class





17 03/19 RN Ch. 17.4 POMDPs





18 03/21 RN Ch. 15.4, 14.5.2 Belief State and Sequential Monte Carlo Tracking Homework 2 due





19 03/26 POMDPs and Belief-State Tracking





20 03/28 POMDP Learning





21 04/02 POMDP Learning





22 04/04 RN Ch. 23.1 Language Processing and Grammars





23 04/09 Language Processing and Grammars





24 04/11 RN Ch. 22.1 Probabilistic Language Processing and N-Gram Models Homework 3 due





25 04/16 RN Ch. 24.2 Basic Image Processing





26 04/18 RN Ch. 24.3.1 Image Processing and Appearance-Based Recognition





27 04/23 RN Ch. 4.1.4 Genetic Algorithms





28 04/25





29 04/30





30 05/02 Conclusions Homework 4 due (Data Set)





31 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.