Tentative Class Schedule

CSE 6369
Reasoning with Uncertainty for Data Interpretation, Modeling, and Decision Making
Tentative Lecture and Assignment Schedule
Fall 2015 - TTh 9:30 - 10:50
Class Date Readings Lecture Topics Assignments
1 08/27 Slides Course Details and Overview  
2 09/01 Slides Reasoning with Uncertainty - Statistical Approaches  
3 09/03 Slides Fuzzy Logic, Bayesian & Non-Bayesian Belief Systems  
4 09/8 Slides Dempster Shafer Theory  
5 09/10   Dempster Shafer Theory  
6 09/15   Dempster Shafer Theory  
7 09/17 Slides Graphical Models  
8 09/22 Slides from RN Bayesian Networks  
9 09/24   Graphical Models Homework 1 due
10 09/29   Sampling Methods  
11 10/01   Markov Chain Monte Carlo Methods  
12 10/06 Estimation and Filtering Optimal Estimation and Filtering  
13 10/08   Kalman Filter  
14 10/13   Kalman Filter  
15 10/15   Monte Carlo Methods & Bootstrap Filters  
16 10/20 Slides Markov Models Project 1 due (Omega (64 Bit Redhat Linux), 64 Bit Linux (Ubuntu), 32 Bit Linux, Cygwin, OSX (32 Bit), OSX (64 Bit) code)
17 10/22   Hidden Markov Models  
18 10/27   Hidden Markov Models  
19 10/29   Learning Hidden Markov Models  
20 11/03 Slides (v2) Markov Decision Models and Decision Theory  
21 11/05   Markov Decision Problems  
22 11/10   MDPs  
23 11/12   POMDPs Homework 2 due
24 11/17   Decision-Making in POMDPs  
25 11/19   POMDPs  
26 11/24   Game Theory  
  11/26   Thanksgiving Break - No Class  
27 12/01   Student Presentations  
28 12/03   Student Presentations  
29 12/08   Studetn Presentations & Advanced Topics Optional Project 2 due
30 TBD   Final Project Presentations



Manfred Huber
2015-08-27