CMPS 445 Data Mining and Visualization
- Sections 1 and 2 - Winter 2014
Course meets MWF 3:30-4:40pm and Tu 3:15-5:45pm in Sci III 311
Course Description
Knowledge discovery in and visualization of large datasets, including data
warehouses and text-based information systems. Topics covered include data
mining concepts, information retrieval, analysis methods, storage systems,
visualization, implementation and applications.
Prerequisite:
CMPS 312
Units and Contact Time
5 quarter units. 4 units lecture (200 minutes), 1 unit lab (150 minutes).
Required Textbook
Data Mining: Concepts and Techniques, Third edition. Jiawei Han, Micheline
Kamber, and Jian Pei. Morgan Kaufmann Publishers, 2012,
ISBN-13 978-0-12-381479-1.
Recommended Textbook and Other Supplemental Materials
Author's website (textbook errata): http://www.cs.uiuc.edu/~hanj/bk3
ACM/IEEE Body of Knowledge Topics
CC-IS: Intelligent Systems CC-IM: Information Management
ABET Outcome Coverage
The course maps to the following performance indicators for
Computer Science (CAC/ABET):
- a1:
- Apply and perform the correct mathematical analysis.
- b1:
- Identify key components and algorithms necessary for a solution.
- b2:
- Produce a solution within specifications.
- e1:
- Recognize ethical issues involved in a professional setting.
Moodle Link
The direct link to the course on Moodle is
http://moodle.cs.csubak.edu/moodle/course/view.php?id=79