ASTR513

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ASTR513 - Statistical and Computational Methods in Astrophysics

Astronomy Graduate UA - UA General

Course Description

This course introduce basic computational methods for solving problems numerically in astrophysics and the foundations of modern statistical methods that are used in current research problems, with emphasis on big-data science. The topics will include basic scientific algorithms to solve integrals and simple differential equations frequently encountered in astrophysics, frequentist and Bayesian inference methods, non-linear regressions methods, modeling of data, Monte Carlo techniques, error estimation, and model selection.

Min Units

3

Max Units

3

Repeatable for Credit

No

Grading Basis

GRD - Regular Grades A, B, C, D, E

Career

Graduate

May be convened with

Component

Lecture

Optional Component

No

Typically Offered Main Campus

Spring