Courses

Spring 2014

Data Mining: W4240
Time: Tuesday and Thursday, 6:10PM to 7:25PM
Location: 614 Schermerhorn
Book: An Introduction to Statistical Learning by James, Witten, Hastie and Tibshirani, The Elements of Statistical Learning by Hastie, Tibshirani and Friedman, Data Mining with R by Torgo (readings from Chapter 1)

Syllabus
Lecture 1    Lecture 2    Lecture 3    Lecture 4 (not given)    Lecture 5    Lecture 6    Lecture 7    Lecture 8    Lecture 9    Lecture 10    Lecture 11    Lecture 12

Homework 1    Homework 1 Demo Script    Homework 2 Homework 3    HW3 Demo Script 1    HW3 Demo Script 2


FALL 2013

Data Mining: W4240
Time: Tuesday and Thursday, 6:10PM to 7:25PM
Location: 501 Schermerhorn
Office Hours: 10:00AM to 11:50AM, Wednesday, 1009 SSW
TA: Feihan Lu, 2:30PM to 4:30PM, Monday, 10th Floor Lounge SSW
TA (Section 2): Gustavo Lacerda, 4:10PM to 6:00PM, Wednesday, 207 Math
Professor (Section 2): Sid Dalal, 3:40PM to 4:40PM, Friday, 614 Schermerhorn
Book: An Introduction to Statistical Learning by James, Witten, Hastie and Tibshirani, The Elements of Statistical Learning by Hastie, Tibshirani and Friedman, Data Mining with R by Torgo (readings from Chapter 1)

Syllabus (updated 9/3/13)


Topics in Advanced Statistics: Statistical Methods for Energy and Environmental Problems: G8325
Time: Wednesday, 2:10PM to 4:00PM
Location: 1025 SSW


Syllabus (updated 8/26/13)
Lecture 1

SPRING 2013

Data Mining: W4240
Time: Tuesday and Thursday, 6:10PM to 7:25PM
Location: 310 Fayerweather
TA: Gustavo Lacerda, Yunxiao Chen
Book: The Elements of Statistical Learning by Hastie, Tibshirani and Friedman, Data Mining with R by Torgo (readings from Chapter 1)

FALL 2012

Applied Data Mining: W3026/W4026
Time: Monday and Wednesday, 8:40AM to 9:55AM
Location: 420 Pupin
TA: Zach Shahn
Book: Data Mining: Practical Machine Learning Tools and Techniques, 3rd Edition by Witten, Frank and Hall

Copyright 2013 by Lauren Hannah