Course Activities 
Week 12 (August 24Sep 6) 
Read Chapter 1: Overview of Data Mining 
Lecture 1: Introduction 

Get familiar with R and RStudio 
R Intro, RStudio Intro 

Supplementary Reading: Data mining and statistics:
what is the connection? Friedman (1997) 
Homework 1
PDF,
LaTex. Assigned on August 25, due on Sep 8. 
Week 3 (Sep 7  Sep 13) 
Read Chapter 2: Theory of Supervised Learning 
Lecture 2: Statistical Decision Theory (I) 


Lecture 3: Statistical Decision Theory (II) 


Homework 2 PDF, Latex. Assigned on Sep 10, due on Sep 29.

Week 4 (Sep 14  20 ) 
Read Chapter 4.24.4: Linear Classification Methods for Binary Problems 
Lecture 4: Binary Classification (I): Basics 
Week 5 (Sep 21  Feb 27) 
Supplementary Reading: Choosing Between Logistic Regression and Discriminant Analysis, Press, S. and Wilson, S. (1978) 
Lecture 5: Binary Classification (II): Logistic Regression and Discriminant Analysis 