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Viewing: ASTR 3141 : Data Analysis in Astrophysics

Last approved: Tue, 09 May 2017 08:03:56 GMT

Last edit: Sun, 07 May 2017 17:53:26 GMT

Catalog Pages referencing this course
Programs referencing this course
Columbian College of Arts and Sciences
Physics (PHYS)
ASTR
3141
Data Analysis in Astrophysics
Data Analysis in Astrophysics
Fall 2017
3
Course Type
Lecture
Default Grading Method
Letter Grade

No
No
PHYS 1012 or PHYS 1022
Corequisites
Prior study in physics or astrophysics
20
S. Guiriec
Frequency of Offering

Term(s) Offered

Are there Course Equivalents?
No
 
No
Fee Type


No


Principles of data analysis in astrophysics and basic analysis of astronomical data from NASA satellites and ground-based telescopes.
Content Objectives
1. Become familiar with a wide range of complex astronomical phenomena;
2. Become familiar with various observational techniques;
3. Be able to derive physical properties of a cosmic object from real astronomical data.

Skills Objectives
1. Lean how to reduce and analyze data from world’s top observatories;
2. Learn most popular astronomical data analysis software;
3. Practice programming skills
4. Apply statistical methods in practice
N/A
Course Attribute

The mental health statement is included in the syllabus; please see the last item on the last page.
candaceg (Sun, 19 Feb 2017 01:25:57 GMT): Rollback: syllabus update: mental health statement.
Key: 10735