Announcements

Administrative Information

Meeting time	MW 04:00pm -- 5:15pm
Location	ECEE 283 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 warehousing, frequent pattern analysis, classification, clustering, outlier analysis, 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 and Jian Pei, Data Mining: Concepts and Techniques, 3rd Edition, Morgan Kaufmann, 2011.

Grading (tentative)

• Class participation: 10%
• Homework assignments: 35%
• Coure project: 35%
• Exam: 20%