ASTRO 406 - Computational Astrophysics
Section: 001
Term: FA 2018
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:

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Intended Audience:

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Class Format:

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ASTRO 406 - Computational Astrophysics
Schedule Listing
001 (LEC)
TuTh 1:00PM - 2:30PM
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