ASTRO 406 - Computational Astrophysics
Section: 001
Term: FA 2017
Subject: Astronomy (ASTRO)
Department: LSA Astronomy
Requirements & Distribution:
Waitlist Capacity:
Advisory Prerequisites:
Prior or concurrent enrollment in MATH 216, 256 or 286, prior or concurrent enrollment in PHYSICS 235, 240 or 260, and some knowledge of programming.
Other Course Info:
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
May not be repeated for credit.
Primary Instructor:

Computational Astrophysics develops practical working knowledge of the numerical methods most widely used in current research. The theory underlying the methods is one important aspect of the course, but theory is put into practice by development and use of numerical routines, some already written, for specific research applications. We first cover most common scientific numerical methods, such as interpolation, data smoothing, least squares fitting, and root finding. We then study in depth minimization of functions and parameter fitting, including Markov Chain Monte Carlo methods, often applied in astronomical and physical modeling. We also focus on the statistical description of data, including the Kolmogorov-Smirnov test and moments of a distribution. We apply these numerical methods as needed for real-life applications, common to all natural sciences.

Course Requirements:

No data submitted

Intended Audience:

No data submitted

Class Format:

No data submitted

ASTRO 406 - Computational Astrophysics
Schedule Listing
001 (LEC)
TuTh 1:00PM - 2:30PM
NOTE: Data maintained by department in Wolverine Access. If no textbooks are listed below, check with the department.

ISBN: 9781400848911
Statistics, data mining, and machine learning in astronomy : a practical Python guide for the analysis of survey data, Author: Zeljko Ivezic, Andrew J. Connolly, Jacob T. VanderPlas, and Alexander Gray., Publisher: Princeton University Press Online-Aus 2014
Syllabi are available to current LSA students. IMPORTANT: These syllabi are provided to give students a general idea about the courses, as offered by LSA departments and programs in prior academic terms. The syllabi do not necessarily reflect the assignments, sequence of course materials, and/or course expectations that the faculty and departments/programs have for these same courses in the current and/or future terms.

Click the button below to view historical syllabi for ASTRO 406 (UM login required)

View Historical Syllabi
The CourseProfile (ART) system, supported by the U-M Provost’s 3rd Century Initiative through a grant to the Office of Academic Innovation, provides additional information about: course enrollments; academic terms and instructors; student academic profiles (school/college, majors), and previous, concurrent, and subsequent course enrollments.

CourseProfile (ART)