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Extraction of information and facts from data mining of random sequences for undergraduate research

Conference Session
Mid Atlantic Papers
Collection
2017 Mid-Atlantic Section Fall Conference
Authors
sunil Dehipawala, Queensborough Community College; Raul Armendariz, Queensborough Community College; George Tremberger Jr, CUNY Queensborough Community College; Tak Cheung, CUNY Queensborough COmmunity College
Tagged Topics
Mid-Atlantic Section Fall Conference
couldsuggest some underlying nonrandom issues. The Black Sholes model used in option trading,related to the 1997 Economics Nobel Prize, contains a distribution that can be described by adifferential equation. A similar approach for the analysis of SDO images has been reported by usearlier 3. The adaptation to community college student research was done by calibrating originaldata using NASA packages, such as The Interactive Data Language (IDL) and/or The InteractiveFITS File Editor (Fv), with the posed RGB image of an astronomical object so that popular imageprocessing software such as ImageJ could be used 4, 5, 6.The SDO data can be used to study magnetic topology via the formula of quasi- separatrix layersQSL or quashing factor Q. The grouping of
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FiERCE: Empowering Girls in Engineering Through Role-Models and Mentoring

Conference Session
Mid Atlantic Papers
Collection
2017 Mid-Atlantic Section Fall Conference
Authors
Laura Bayerle; Marietta R. Scanlon, Pennsylvania State University, Berks Campus
Tagged Topics
Diversity, Mid-Atlantic Section Fall Conference
-engineering-and-tech/.6. Grandy, J. (1998). Persistence in science of high-ability minority students. Journal of HigherEducation, 69(6), 589-620.7. Li, Q., Swaminathan, H., & Tang, J. (2009). Development of a classification system forengineering student characteristics affecting college enrollment and retention. Journal ofEngineering Education, October, 361-76.8. Lord, S., Camacho, M., Layton, R., Long, R., Ohland, M., & Wasburn, M. (2009). Who’spersisting in engineering? A comparative analysis of female and male Asian, black, Hispanic,native American, and white students. Women and Minorities in Science and Engineering, 15,166-190.9. Bottomley, L., Rajala, S., & Porter, R. (1999, November). Women in engineering at NorthCarolina State
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