CS 435 Introduction to Data Mining Fall 2008
Goals:
This data mining course introduces concepts, algorithms, techniques, and
applications of data mining. Topics include background of data mining, data preprocessing,
classification, clustering, associationrules mining. This course is designed
for CS senior undergraduate students.
Class Schedule: T TH 6:00 PM  7:25 PM 
Classroom: Science II, 260 
Instructor: Dr. Lei Yu 
TA: Yi (Andrea) Xu 
Telephone: (607) 7776250 

Email: lyu AT cs DOT 
Email: yxu4 AT

Office Location: G16,

Office Location: N1,

Office Hours: T TH 12:30PM  1:30PM or by appointment 
Office Hours: M W 10:00AM11:00AM 
Prerequisite:
Topics:
Textbook:
Homework:
There will be 4 written assignments.
Examinations:
There will be several quizzes and two exams in class.
Grading:
Final grades will be based on class participation (10%), quiz (10%), homework (4 assignments, 20%), Exam I (30%), Exam II (30%).
Academic Integrity:
Discussion of general concepts and questions concerning the homework
assignments among students is encouraged. However, each of you is expected
to work on the homework solutions on your own. Sharing of any part of
solutions is prohibited. If you are unclear about the policy, please consult
with the instructor before you act. Suspected cases of academic
misconduct will be pursued fully in accordance to the
Student Academic Honesty
Code of
Late Policy:
Each assignment is due at the beginning of class on the due date. Any
assignment received within the next 24 hours will be penalized by 20% of the
full credit; any assignment received within the time between 24 hours and 48
hours pass the deadline is penalized by 50% of the full credit; No assignment
will be accepted after 48 hours pass the deadline. Rare exceptions of this policy
may be made at the discretion of the instructor under demonstrably
circumstances.

Last updated on 09/02/2008 