Course Activities 
Week 1 (Aug 2127) 
Get Familiar with Software: Intrudction to R 
R Brief Intro, R Guide For Reginners 

Read Chapter 1: Overview of Data Mining 
Lecture 1: Introduction 

Supplementary Reading: Data mining and statistics:
what is the connection? Friedman (1997) 
Homework 1.
Assigned on Aug 22, due on Sep 4. 
Week 2 (Aug 28Sep 3) 
Read Chapter 2: Theory of Supervised Learning 
Lecture 2: Statistical Decision Theory (I) 


Lecture 3: Statistical Decision Theory (II) 
Week 3 (Sep 4  Sep 10) 
Read Chapter 4.24.4: Linear Classificaton Methods for Binary Problems 
Lecture 4: Binary Classification (I): Basics 


Homework 2 Assignment. Assigned on Sep 5, due on Sep 19. 


Homework 2 Solution, Code 
Week 4 (Sep 11  Sep 17) 
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 

Curse of Dimensionality; Linear Binary Classification for High Dimensional Problems 
Lecture 6: Binary Classification (III): Extension to High Dimensional Classification Problems 
Week 4 (Sep 18  Sep 24) 
Read Chapter 4.1: Nonlinear Classification Methods 
Lecture 7: K nearest neighbor (Knn) methods 

Topic: Introduction to Multiclass Classifiction 
Lecture 8: Multiclass Classification 


Homework 3 Assignment.Assigned on Sep 19, due on Oct 3.
Solution, Code 