Course Schedule
1st week
09/06 Course overview, Chapter 1 : Introduction
2nd week
09/13 Chapter 2 : Bayesian Decision Theory
3rd week
09/20 Chapter 2 : Bayesian Decision Theory
4th week
09/27 Chapter 2 : Bayesian Decision Theory
5th week
10/04 Chapter 2 : Bayesian Decision Theory
6th week
10/11 Chapter 2 : Bayesian Decision Theory
7th week
10/18 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
8th week
10/25 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
9th week
11/01 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
10th week
11/08 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
11th week
11/15 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
12th week
11/22 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
13th week
11/29 Chapter 6 : Multilayer Neural Networks
14th week
12/06 Chapter 6 : Multilayer Neural Networks
15th week
12/13 Chapter 6 : Multilayer Neural Networks
16th week
12/20 Chapter 6 :
Multilayer Neural Networks
17th week
12/27 Chapter 6 :
Multilayer Neural Networks