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Astronomy
Description: This course provides training in the fundamentals of astroinformatics: applying "big data" techniques to research topics in astronomy. Course material will include case studies of astroinformatics projects that exist presently and that are coming in the future; tutorials in computational approaches; exposure to relevant statistical approaches; and training in creating informatics research topics. The course will conclude with a term project in which students will apply the skills they have learned to existing data sets. Letter grade only.
Units: 3
No sections currently offered.
Prerequisite: Admission to Astronomy and Planetary Science PhD
Astronomy
Term : Summer 2023
Catalog Year : 2022-2023
AST 520 - Astroinformatics: Big Data In Astronomy
Description: This course provides training in the fundamentals of astroinformatics: applying "big data" techniques to research topics in astronomy. Course material will include case studies of astroinformatics projects that exist presently and that are coming in the future; tutorials in computational approaches; exposure to relevant statistical approaches; and training in creating informatics research topics. The course will conclude with a term project in which students will apply the skills they have learned to existing data sets. Letter grade only.
Units: 3
No sections currently offered.
Prerequisite: Admission to Astronomy and Planetary Science PhD