Course Information for Spring 2016

Time: MWF 9:00-9:50
Place: Davis 117
Final exam: Sunday May 15, 2016 at 9am (Exam Period 13)

Instructor Information

Prof. Stephanie R. Taylor (Lectures)
Office: Davis 114
Email: s r taylor _at_ colby _dot_ edu
Office hours: M 1:00-3:00, T 2:30-4:30, F 1-3
By appointment (email me), and whenever my door is open

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.

Recommended Textbook

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