This course will build on Arctic Research Methods I, training students in methods needed to conduct Arctic convergence research projects. Techniques will including ground-based and remote sensing measurements of snow, ice, soil, vegetation, and built infrastructure. Students will also learn communication and education approaches necessary to facilitate collaboration between Arctic communities and researchers.

This course provides a basic introduction to the open-sources statistical software R for students who have never used this software or have never formally learned the basics of it. Topics include: Numeric calculations, simple and advanced graphics, object management and work-flow, RStudio, user-contributed packages, basic programming, writing of functions, statistical modeling and related graphs, distributed computing, reproducible research and document production via markup language. Cr/F.

Conservation of mass, momentum, and energy, discretization and discretization schemes, boundary and initial conditions, turbulence and turbulence models, two-equation models, CFD software such as OpenFOAM, best practice guidelines for CFD. The class incorporates the use and creation of Open Educational Resources (OER)

Fundamental approach to analytical listening with attention to learning how to aurally recognize and apply the basic elements of music to a wide variety of specific musical works in oral and written contexts. Critical thinking and listening skills will be developed through study of music in a variety of cultural and historical perspectives. Some participation in musical life of the University may be required, unless this is the fully online version. This course does not fulfill a music major program requirement nor does it satisfy the Fine and Performing Arts Discovery requirement for any music major program.