Course description



This course is designed to provide the practical skills needed to enable a student to migrate from a classroom-based learner to a productive scientist. The course is organized into 5 modules:

  • Basic Unix command-line skills [1 wk]
  • Python skills, focussing on astronomical libraries (e.g. AstroPy, Astroquery) [2-3 wks]
  • Data analysis and modeling with an introduction to Bayesian analysis (e.g. LMfit, EMCEE) [3-4 wks]
  • Scientific Presentations: Papers, Talks, Posters [2 wks]
  • Introduction to Design of astronomical instruments [2 wks]
© Mutel, Robert L 2019