ASTR 324 A: Introduction to Astrostatistics and Machine Learning in Astronomy

Spring 2024
Meeting:
TTh 10:00am - 11:20am / PAB B360
SLN:
10573
Section Type:
Lecture
Instructor:
Catalog Description:
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.
GE Requirements Met:
Quantitative and Symbolic Reasoning (QSR)
Credits:
3.0
Status:
Active
Last updated:
June 15, 2024 - 2:33 am