2 classes matched your search criteria.
STAT 5731 is also offered in Fall 2024
STAT 5731 is also offered in Fall 2023
STAT 5731 is also offered in Fall 2022
STAT 5731 is also offered in Fall 2021
Fall 2023 | STAT 5731 Section 001: Bayesian Astrostatistics (20703)
- Instructor(s)
- Class Component:
- Lecture
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person
- Meets With:
AST 5731 Section 100
- Times and Locations:
Regular Academic Session
UMTC, East Bank
Ford Hall 110
- 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. prereq: 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/20703/1239
Fall 2023 | STAT 5731 Section 002: Bayesian Astrostatistics (20704)
- Instructor(s)
- Class Component:
- Discussion
- Meets With:
AST 5731 Section 101
- Times and Locations:
Regular Academic Session
UMTC, East Bank
Lind Hall L102
- 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. prereq: 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:
- Class will meet in Lind L-102
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/20704/1239
ClassInfo Links - Fall 2023 Statistics Classes