Fall 2020  |  STAT 5731 Section 001: Bayesian Astrostatistics (34429)

Instructor(s)
Class Component:
Laboratory
Credits:
4 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
Completely Online
Class Attributes:
Online Course
Meets With:
AST 5731 Section 001
Times and Locations:
Regular Academic Session
 
09/08/2020 - 12/16/2020
Wed 09:05AM - 10:05AM
Off Campus
UMN REMOTE
Enrollment Status:
Open (12 of 15 seats filled)
Also Offered:
Course Catalog 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
Class Notes:
This course is completely online in an asynchronous format. There are no scheduled meeting times. Details will be provided in the course syllabus.
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/34429/1209

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