Spring 2019

Intro to Data Science with Astronomical Applications

Listed in: Physics and Astronomy, as ASTR-200


Kate Follette (Section 01)


The purpose of this course is to introduce data analysis and visualization techniques that will allow students to excel in further coursework in astronomy and other STEM majors. Students will be introduced to 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 data. We will sharpen these skills through the lens of astronomical data collection and analysis, though the skills themselves are applicable in many other fields.

Recommended requisite: ASTR 111 or 112 and COSC 111. Limited to 20 students. Spring semester. Professor Follette.

If Overenrolled: Preference first to sophomores, then first-years, then juniors, then seniors, with special preference within each year to majors in astronomy, physics, then other STEM disciplines, others

Cost: $75 ?

ASTR 200 - LEC

Section 01
M 01:00 PM - 01:50 PM SCCE A126
W 01:00 PM - 01:50 PM SCCE A126
F 01:00 PM - 01:50 PM SCCE A126

ASTR 200 - LAB

Section 01
Th 01:00 PM - 04:00 PM SCCE A126

This is preliminary information about books for this course. Please contact your instructor or the Academic Coordinator for the department, before attempting to purchase these books.

ISBN Title Publisher Author(s) Comment Book Store Price
An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements 2nd Edition University Science Books 1996 Taylor Amherst Books TBD
The Visual Display of Quantitative Information Graphics Press, 1992 Tufte paperback edition $32 each at www.edwardtufte.com Amherst Books TBD

These books are available locally at Amherst Books.


2024-25: Not offered
Other years: Offered in Spring 2019