Data Science in Astronomy

5 credits

Introduction to statistical and machine learning methods and algorithms frequently used in modern astronomy research. The Python programming language will be used almost exclusively due to its widespread usage in astronomy. The course will use a variety of cutting-edge data science tools, techniques, and numerical methods widely used in the astronomy community, with an emphasis on utilizing publicly available codes. May be coscheduled with ASTR 254. Prerequisites: PHYS 2A/2AR-B-C-D or 4A-B-C-D-E and BILD 62 or COGS 18 or CSE 11 or CSE 6R or CSE 8A or CSE 8B or DSC 10 or PHYS 41.