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Course Deactivation Proposal

Viewing: ASTR 2141 : Data Analysis in Astrophysics

Last approved: Mon, 10 Apr 2017 08:01:34 GMT

Last edit: Thu, 09 Feb 2017 16:40:55 GMT

This course is being renumbered as ASTR 3141, thus we needed to de-activate the course.
Columbian College of Arts and Sciences
Physics (PHYS)
ASTR
2141
Data Analysis in Astrophysics
Data Analysis in Astrophysics
Spring 2017
3
Course Type
Basic Activity
Lecture
Default Grading Method
Letter Grade

No
No
PHYS 1012 or PHYS 1022
Corequisites
prior study in physics or astrophysics
20
O. Kargaltsev
Frequency of Offering

Term(s) Offered

Are there Course Equivalents?
No
 
No
Fee Type


No


Principles of data analysis in astrophysics; basic analysis of astronomical data from NASA satellites and ground-based telescopes; linking measurements from the data to physics concepts; observing programs and proposals; study of cosmic phenomena through practical experience with data. Students should have completed a programming course before enrolling.
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
Uploaded a Course Syllabus
N/A
Course Attribute


Key: 10352