Introduction to Astrostatistics and Machine Learning in Astronomy

3 credits

Introduces students to data science tools and techniques commonly used in data driven astronomy and astrophysics. Combines introductory theoretical background with hands-on work on examples of data analysis with modern astronomical datasets. Prerequisite: MATH 124 or MATH 134; MATH 125 or MATH 135; MATH 126; and ASTR 300 or ASTR 302; recommended: basic understanding of scientific measurement and statistics at the level of a first-year undergraduate lab. Offered: Sp.