Listed in: Physics and Astronomy, as ASTR-200
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.
How to handle overenrollment: 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
Students who enroll in this course will likely encounter and be expected to engage in the following intellectual skills, modes of learning, and assessment: quantitative work, lab work and working in groups
Cost: $75 ?
M 12:30 PM - 01:50 PM SCCE A126
W 12:30 PM - 01:50 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.
|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.