ASTRO 406 - Computational Astrophysics
Section: 001
Term: WN 2008
Subject: Astronomy (ASTRO)
Department: LSA Astronomy
Requirements & Distribution:
Advisory Prerequisites:
MATH 216, prior or concurrent enrollment in PHYSICS 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 a practical working knowledge of the numerical methods most widely used in astrophysics. 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 astronomical applications. We first cover most common scientific numerical methods, such as interpolation, data smoothing, least squares fitting, root finding, and numerical integration. We then study in depth minimization of functions and parameter fitting, including Monte Carlo methods, often applied in astronomical and physical modeling. We also focus on the statistical description of astronomical data, including the Kolmogorov-Smirnov test and moments of a distribution. We apply these methods as needed for real-life research applications, which are common to the numerical modeling in physics, chemistry, and research in industry.

ASTRO 406 - Computational Astrophysics
Schedule Listing
001 (LEC)
TuTh 11:30AM - 1:00PM
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