Winter 2023
Meeting:
MW 2:30pm - 3:50pm / PAA A216
SLN:
10623
Section Type:
Laboratory
Instructor:
Catalog Description:
Teaches how to effectively use Python for research and astronomical data analysis. Introduction to key tools and libraries used in astronomy and how to use these to analyze data , visualize datasets, automate analyses, and apply this knowledge to reproducing results of some key astronomy papers. Prerequisite: ASTR 300; recommended: knowledge of Python and related astronomy libraries at the ASTR 300 level highly recommended.
GE Requirements Met:
Natural Sciences (NSc)
Quantitative and Symbolic Reasoning (QSR)
Credits:
3.0
Status:
Active
Last updated:
July 8, 2025 - 12:58 am