Course Schedule
1st week
09/09 Course overview, Chapter 1 : Introduction
2nd week
09/16 Chapter 2 : Bayesian Decision Theory
3rd week
09/23 Chapter 2 : Bayesian Decision Theory
4th week
09/30 Chapter 2 : Bayesian Decision Theory
5th week
10/07 Chapter 2 : Bayesian Decision Theory
6th week
10/14 Chapter 2 : Bayesian Decision Theory
7th week
10/21 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
8th week
10/28 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
9th week
11/04 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
10th week
11/11 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
11th week
11/18 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
12th week
11/25 Chapter 6 : Multilayer Neural Networks
13th week
12/02 Chapter 6 : Multilayer Neural Networks
14th week
12/09 Chapter 6 : Multilayer Neural Networks
15th week
12/16 Chapter 6 : Multilayer Neural Networks