Astronomy 200 - Astronomical Data Science
Astronomical Data Science
Spring
2024
01
4.00
Kimberly Ward-Duong
W F 2:45 PM - 4:00 PM; M 3:05 PM - 4:20 PM
Smith College
AST-200-01-202403
McConnell 406
kwardduong@smith.edu
This course introduces the computational, statistical and data visualization techniques essential
to research and further coursework in astronomy and other STEM majors. Students learn how to use the Python programming language to analyze and manipulate data; how to create, interpret and present visualizations of those data; and how to apply statistical analysis techniques to astronomical data. Students use real databases from major international observatories spanning a variety of research areas, e.g., star properties across the galaxy, exoplanet discoveries, deep surveys of distant galaxies, asteroids and comets in the solar system, and more. Prerequisites: AST 100, AST 111 or AST 228; CSC 110 or equivalent recommended. Enrollment limited to 25.
to research and further coursework in astronomy and other STEM majors. Students learn how to use the Python programming language to analyze and manipulate data; how to create, interpret and present visualizations of those data; and how to apply statistical analysis techniques to astronomical data. Students use real databases from major international observatories spanning a variety of research areas, e.g., star properties across the galaxy, exoplanet discoveries, deep surveys of distant galaxies, asteroids and comets in the solar system, and more. Prerequisites: AST 100, AST 111 or AST 228; CSC 110 or equivalent recommended. Enrollment limited to 25.
[CE] AST 100, 111 or 228