CSCI8581
CSCI 8581 - Big Data in Astrophysics (4 Cr.)
Computer Science and Engineering Administration (11108)
TIOT - College of Science and Engineering
CSCI 8581 - Big Data in Astrophysics (4 Cr.)
Course description
This course will introduce key concepts and techniques used to work with large datasets, in the context of the field of astrophysics.
Prerequisites: MATH 2263 and MATH 2243, or equivalent; or instructor consent.
Suggested: familiarity with astrophysics topics such as star formation and evolution, galaxies and clusters, composition and expansion of the universe, gravitational wave sources and waveforms, and high-energy astrophysics.
Prerequisites: MATH 2263 and MATH 2243, or equivalent; or instructor consent.
Suggested: familiarity with astrophysics topics such as star formation and evolution, galaxies and clusters, composition and expansion of the universe, gravitational wave sources and waveforms, and high-energy astrophysics.
Minimum credits
4
Maximum credits
4
Is this course repeatable?
No
Grading basis
A-F - A-F Grade Basis
Lecture
Credit will not be granted if credit has been received for:
02843
Fulfills the writing intensive requirement?
No
Typically offered term(s)
Every Spring