ASTR513
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ASTR513 - Statistical and Computational Methods in Astrophysics
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