COMP 180: Computing and Data Analysis for the Sciences

Course Information

About

Scientific computing emphasizes data analysis and visualization in a scientific context - analyzing data quickly for understanding by the individual, sharing automated workflows with collaborators, and preparing results for later publication.

Description

This course will emphasize rapid, interactive, and reproducible collaborative analysis of data for scientific contribution.

Outcome

At the end of this course, students will be well versed in the use of a specific, interactive environment for data analysis (likely Python, R, or MATLAB as indicated in the course notes) for analyzing data and sharing results.

Syllabi

See the Current Course Syllabi.