CMPS 445 Data Mining and Visualization - Sections 1 and 2 - Winter 2014Course meets MWF 3:30-4:40pm and Tu 3:15-5:45pm in Sci III 311
Course DescriptionKnowledge 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.
Units and Contact Time5 quarter units. 4 units lecture (200 minutes), 1 unit lab (150 minutes).
Required TextbookData 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 MaterialsAuthor's website (textbook errata): http://www.cs.uiuc.edu/~hanj/bk3
ACM/IEEE Body of Knowledge TopicsCC-IS: Intelligent Systems
CC-IM: Information Management
ABET Outcome CoverageThe course maps to the following performance indicators for Computer Science (CAC/ABET):
- Apply and perform the correct mathematical analysis.
- Identify key components and algorithms necessary for a solution.
- Produce a solution within specifications.
- Recognize ethical issues involved in a professional setting.
Moodle LinkThe direct link to the course on Moodle is http://moodle.cs.csubak.edu/moodle/course/view.php?id=79