Primarily for science majors. A lecture and laboratory course that deals with basic observational techniques in astronomy. The laboratory section generally meets at night. Students use observational facilities at the McCormick and Fan Mountain Observatories. Additional work outside posted laboratory hours will be required to take advantage of clear skies.

Optional one hour laboratory for students in ASTR 3880 that provides practical experience in accessing and analyzing data related to the origin and geology of solar system planetary bodies, including the Moon, Mars, and outer planet satellites.

Primarily for astronomy/astrophysics majors. Students will be exposed to a research methods-intensive set of mini projects, with emphasis on current active areas of astrophysics research. The goal is to prepare students for research in astrophysics. Topics will include databases and database manipulation, astronomical surveys, statistics, space observatories and observation planning, intro to numerical simulations, and proposal writing.Prerequisites: ASTR 2110/2120 and PHYS 2660, or instructor permission.

Computational methods are widely applied in all areas of astrophysical research, including data analysis, instrumentation, and theory. This course covers advanced computing skills that optimize the scientific return from using increasingly complex code bases and sophisticated code development tools. Using Python, we introduce widely applicable numerical methods while training the students in the use of commonly used code development concepts.

Independent study of a topic of special interest to the student under individual supervision by a faculty member. May be repeated once for credit. Prerequisite: Instructor permission.

May be repeated once for credit. Prerequisite: Instructor permission.

Graduate students will be exposed to a research methods-intensive set of projects, with emphasis on current active areas of astrophysics research. The goal is to prepare students for research in astrophysics. Topics will include databases and database manipulation, astronomical surveys, statistics, space observatories and observation planning, intro to numerical simulations, and proposal writing.

Studies observed properties and physics of stars including radiative transfer; stellar thermodynamics; convection; formation of spectra in atmospheres; equations of stellar structure; nuclear reactions; stellar evolution; and nucleosynthesis. Includes applicable numerical techniques. Prerequisite: Instructor permission.

Computational methods are widely applied in all areas of astrophysical research, including data analysis, instrumentation, and theory. This course covers advanced computing skills that optimize the scientific return from using increasingly complex code bases and sophisticated code development tools. Using Python, we introduce widely applicable numerical methods while training the students in the use of commonly used code development concepts.

UVa staff and guest speakers discuss current research problems.