CSCI8581: Big Data in Astrophysics

4 Credits

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.

View on University Catalog

All Instructors

A Average (3.858)Most Common: A (83%)

This total also includes data from semesters with unknown instructors.

47 students
FDCBA
  • 4.53

    /5

    Recommend
  • 4.06

    /5

    Effort
  • 4.36

    /5

    Understanding
  • 4.55

    /5

    Interesting
  • 4.53

    /5

    Activities


      Contribute on our Github

      Gopher Grades is maintained by Social Coding with data from Summer 2017 to Spring 2024 provided by the Office of Institutional Data and Research

      Privacy Policy