2 classes matched your search criteria.

Fall 2021  |  STAT 5731 Section 001: Bayesian Astrostatistics (35277)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Meets With:
AST 5731 Section 100
Times and Locations:
Regular Academic Session
 
09/07/2021 - 12/15/2021
Mon 09:05AM - 11:00AM
UMTC, East Bank
Akerman Hall 215
Enrollment Status:
Open (8 of 10 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 Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/35277/1219

Fall 2021  |  STAT 5731 Section 002: Bayesian Astrostatistics (35278)

Instructor(s)
Class Component:
Laboratory
Meets With:
AST 5731 Section 101
Times and Locations:
Regular Academic Session
 
09/07/2021 - 12/15/2021
Wed 09:05AM - 11:00AM
UMTC, East Bank
Kenneth H Keller Hall 4-250
Auto Enrolls With:
Section 001
Enrollment Status:
Open (8 of 10 seats filled)
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 Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/35278/1219

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