Pattern Recognition, Fall 2018

Course Schedule

1st week

        09/11   Course overview, Chapter 1 : Introduction

2nd week

        09/18   Chapter 2 : Bayesian Decision Theory

3rd week

        09/25   Chapter 2 : Bayesian Decision Theory

4th week

        10/02   Chapter 2 : Bayesian Decision Theory

5th week

        10/09   Chapter 2 : Bayesian Decision Theory

6th week

        10/16   Chapter 2 : Bayesian Decision Theory

7th week

        10/23   Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation

8th week

        10/30   Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation

9th week

        11/06   Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation

10th week

        11/13   Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation

11th week

        11/20   Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation

12th week

        11/27   Deep Learning

13th week

        12/04   Deep Learning

14th week

        12/11   Deep Learning

15th week

        12/18   Deep Learning       

16th week

        12/25   Deep Learning

17th week

        01/01