Minneapolis, MN
August 23, 2022
June 26, 2022
June 29, 2022
18
10.18260/1-2--41153
https://peer.asee.org/41153
226
Elizabeth Milonas is an Assistant Professor with the Department of Computer Systems Technology at New York City College of Technology - City University of New York (CUNY). She teaches various topics related to data science and relational and non-relation database technologies. Her research focuses on organization techniques used in big data, ethics in data science curriculum, and evaluation of data science programs/curricula. She has a Ph.D. in Information Systems from Long Island University, an MS in Information Systems from NYU, and a BS in Computer Science from Fordham University.
Dr. Qiping Zhang is an associate professor in the Palmer School of Library and Information Science at the C.W. Post Campus of Long Island University, where she also serves as director of the Usability Lab. Dr. Zhang holds a Ph.D. (under the guidance of Dr. Gary Olson and Dr. Judy Olson) and an M.S. in information and library studies from the University of Michigan, Ann Arbor, and an M.S. (under the guidance of Professor Su Wang) and a B.S. in cognitive psychology from Peking University in Beijing, China. Prior to joining Long Island University in 2006, she was an assistant professor in the College of Information Science and Technology at Drexel University.
Dr. Duo Li is the chief research scientist of Green Island Hotel Industry Research Institute of Shenyang City University. Duo Li is the member of ASIST&T and his research interests are focusing on HumanComputer-Interaction, Big Data, Data Analytics, Social Networking, and Hospitality Management.
QUALIFICATIONS: Skilled professional experienced in big data, data analysis, bibliometric, social networking sites, statistic software, and online learning system. Full skilled in establishing, operating, and maintaining online course on Blackboard. Educated in data visualization, multidimensional scaling analysis, and human computer interaction. Well versed in Camtasia, and graphics processing software.
EDUCATION: Doctor of Philosophy in Information Studies, May 2017. LONG ISLAND UNIVERSITY, POST CAMPUS, Brookville, NY; Master of Science, Management Engineering, January 2010. LONG ISLAND UNIVERSITY, POST CAMPUS, Brookville, NY; Bachelor of Science, Automotive Engineering, July 2007. BEIJING INSTITUTE OF TECHNOLOGY, Beijing, P.R. China
The data science domain has increased exponentially due to advances in technology, including in infrastructure, storage, and analytical tools and techniques. The demand for data science technologies and skills is evident in various industries, such as retail, health care, finance, and all areas of economy and society. Data science careers are the top careers in the U.S. across many disciplines. The need for skilled workers in this domain will only continue to grow, requiring college graduates who can support this growth. Many colleges across the United States have already adopted undergraduate data science curriculum and programs. However, it is not clear whether undergraduate data science programs offered by colleges with different rankings provide similar or dissimilar data science competencies. The goal of this study is to compare program structure and competencies of undergraduate data science programs offered by colleges in the three US News ranking categories: National, Regional and National Liberal Arts. The research questions answered as a result of this study are: Do undergraduate data science program profiles vary by college ranking? Do undergraduate data science program competencies vary by college ranking?
Milonas, E., & Zhang, Q., & Li, D. (2022, August), Do Undergraduate Data Science Program Competencies Vary by College Rankings? Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--41153
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