AST5731
AST 5731 - Bayesian Astrostatistics (4 Cr.)
Astrophysics, Minnesota Institute for (11092)
TIOT - College of Science and Engineering
AST 5731 - Bayesian Astrostatistics (4 Cr.)
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
Typically offered term(s)
Every Fall