Course Schedule
1st week
09/08 Course overview, Chapter 1 : Introduction
2nd week
09/15 Chapter 2 : Bayesian Decision Theory
3rd week
09/22 Chapter 2 : Bayesian Decision Theory
4th week
09/29 Chapter 2 : Bayesian Decision Theory
5th week
10/06 Chapter 2 : Bayesian Decision Theory
6th week
10/13 Chapter 2 : Bayesian Decision Theory
7th week
10/20 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
8th week
10/27 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
9th week
11/03 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
10th week
11/10 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
11th week
11/17 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
12th week
11/24 Chapter 6 : Multilayer Neural Networks
13th week
12/01 Chapter 6 : Multilayer Neural Networks
14th week
12/08 Chapter 6 : Multilayer Neural Networks
15th week
12/15 Term Project Demonstration & Presentation