CS 251: Data Analysis and Visualization

Course Information for Spring 2012

Time: MWF 8-8:50am Lecture, M 1-2:15/2:30-3:45 Lab
Place: Roberts 221/228

Instructor Information

Prof. Bruce A. Maxwell
Office: Roberts 224B
Phone: 859-5854
AIM: brucemaxwell@mac.com

Office hours: Knock

Course Description

This course covers the analysis and visualization of scientific data. Topics will include data management, basic statistical analysis, data mining techniques, and the fundamental concepts of machine learning. Students will also learn how to visualize data using 2-D and 3-D graphics, focusing on techniques that highlight patterns and relationships. Course projects will use data from active research projects at Colby.

Textbooks

Witten and Frank, Data Mining: Practical Machine Learning Tools and Techniques, Morgan Kaufmann, 3rd Ed, 2011.

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