Module code: SPA7038P
Credits: 15.0
Semester: SEM2
Contact: Prof Richard Nelson
Astrophysics has been revolutionized by the advent of large accessible data sets and public domain software for accessing that data and also for modelling astrophysical systems. This module will introduce a range of data analysis and modelling methods used in astrophysics, such as Markov Chain Monte Carlo fitting and N-body simulation. Students will develop practical skills with hands-on experience of modern software packages and data from observatories and space missions such as the James Webb Space Telescope, Kepler and the Parker Solar Probe. Minimal programming background is assumed, but students should be familiar with using computers and mathematics at a level commensurate with BSc in Physics (or equivalent).
Connected course(s): UDF DATA
Assessment: 100.0% Coursework
Level: 7
