Course Information for Spring 2011
Time: MWF 8-8:50am
Place: Roberts 221
Prof. Bruce A. Maxwell
Office: Roberts 224B
Office hours: TBA, Knock
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.
Witten and Frank, Data Mining: Practical Machine Learning Tools and Techniques, Morgan Kaufmann, 2005.