Announcements

• Jan 13, 2009: Starting on Wednesday Jan 14, all lectures will be held in KOBL 102 (map).
• Jan 13, 2009: Students taking this course for credit should sign up for the course at moodle.cs.colorado.edu using the enrollment key that was given out at the first lecture.

Administrative Information

Meeting time	MW 04:00pm -- 5:15pm
Location	KOBL 102 map
Instructor	Qin (Christine) Lv
Phone	(303) 492 - 8821
Email
Office	ECCR 1B05C
Office hours	TBD

Course Description

This course introduces basic data mining concepts and techniques for discoverying interesting patterns hidden in large-scale data sets, focusing on issues relating to scalability and efficiency. Topics covered in this course include data preprocessing, data warehouse, association, classification, clustering, and mining specific data types such as time-series, social networks, multimedia, and Web data.

Prerequisites

• Basic knowledge on linear algebra, probability, and statistics, although key related concepts will be reviewed during the course.
• Familarity with at least one programming language. Able to read pseudo code and understand basic data structrues.

Textbook

Jiawei Han and Micheline Kamber, Data Mining: Concepts and Techniques, 2nd Edition, Morgan Kaufmann, 2006.

Grading

• Class participation: 10%
• Homework assignments: 35%
• Coure project: 25%
• Exams: 30%