CS 251: Data Analysis and Visualization

Project Information for Spring 2016

Main course page

The lab exercises will be posted here weekly. The work in lab will lead into and be part of the week's project. Labs will also count significantly towards participation.

Time:Labs M 1-2:20, T 2:30-3:50
Place:Davis 102
Section A Lecture:8am-9am
Place:Davis 117

Lab Instructor Information

Prof. Bruce A. Maxwell
Office: Davis 112
Phone: 859-5854
AIM: brucemaxwell@mac.com

Office hours: Knock
M 10pm-late, R 7:30pm-late
Any time 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.

Useful Links

Data Links


  1. Designing a GUI
  2. Managing Data
  3. 3D Viewing
  4. Integrating Data and Viewing
  5. Linear Regression
  6. Principal Component Analysis
  7. Clustering Analysis
  8. Machine Learning
  9. Final Project Design