AST5731
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AST 5731 - Bayesian Astrostatistics (4 Cr.)
Astrophysics, Minnesota Institute for (11092)
TIOT - College of Science and Engineering
Course description
This course will introduce Bayesian methods for interpreting and analyzing large data sets from astrophysical experiments. These methods will be demonstrated using astrophysics real-world data sets and a focus on modern statistical software, such as R and python.
Prerequisites: MATH 2263 and MATH 2243, or equivalent; or instructor consent
Suggested: statistical course at the level of AST 4031, AST 5031, STAT 3021, or STAT 5021
Prerequisites: MATH 2263 and MATH 2243, or equivalent; or instructor consent
Suggested: statistical course at the level of AST 4031, AST 5031, STAT 3021, or STAT 5021
Minimum credits
4
Maximum credits
4
Is this course repeatable?
No
Grading basis
A-F - A-F Grade Basis
Laboratory
Lecture
Requirements
011062
Credit will not be granted if credit has been received for:
02815
Fulfills the writing intensive requirement?
No
Typically offered term(s)
Every Fall