Statistics – Computation
Scientific paper
May 2003
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003aas...202.1012j&link_type=abstract
American Astronomical Society Meeting 202, #10.12; Bulletin of the American Astronomical Society, Vol. 35, p.712
Statistics
Computation
Scientific paper
Motivated by the need to better prepare undergraduate students at the City University of New York (CUNY) for NASA research experiences, a series of courses and workshops in Computational Earth and Space Science has been developed and piloted for both CUNY faculty and students. The outcome is the institutionalization of a Computational Earth and Space Science course team-taught by faculty at Medgar Evers College (MEC) and the City College for New York (CCNY). While the course is specifically targeted towards undergraduate students, participants include CUNY faculty and graduate students. Course participants gain familiarity with software tools, image processing and data analysis and modeling techniques used in Earth and Space Science applications and research of interest to NASA and related agencies.
The course borrows concepts and ideas from a workshop session given at South Carolina State University; innovative Scientific Programming Courses at MEC; an intersession IDL workshop for CUNY faculty and students hosted by CCNY; and a cross-listed Special Topics course team-taught at both CCNY and MEC. The importance for faculty lies in strengthening undergraduate research mentorship by becoming aware of areas and techniques of special interest to NASA, as well as to contributing to data reduction in parallel areas of science. The program provides the necessary knowledge for student participants to take advantage of local and national research programs, and to enhance their value in the scientific workforce. [Curriculum development is supported by NASA MU-SPIN NCC5-530 and NASA Space Science/Minority Initiative NAG5-10142.]
Austin S.
Johnson Percy L.
Steiner Jean
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