Conference Session

Curricular Issues in Computing and Information Technology Programs I

Collection

2015 ASEE Annual Conference & Exposition

Authors

Alireza Kavianpour, DeVry University, Pomona; Simin Shoari; Behdad Kavianpour, University of California, Irvine

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Diversity

Tagged Divisions

Computing & Information Technology

. 3 Page 26.10.42 Three-Dimensional MomentsGiven a three-dimensional density distribution function f (x, y, z), the (p+q+r)order moments are defined in terms of the Riemann integral as: +∞ +∞ +∞ mpqr = rxp ryq rzr f (x, y, z)dxdydz −∞ −∞ −∞ where ri is the normal distance to axis i, i = x, y, z, and p, q, r = 0, 1, 2, ... The integration extends over the domain of f . For an object with limitedvolume in the x, y, z space, the integration extends over the volume of theobject. The second order moments about x,y, and z axes, i.e., p

Conference Session

Curricular Issues in Computing and Information Technology Programs I

Collection

2016 ASEE Annual Conference & Exposition

Authors

Hassan Rajaei, Bowling Green State University; Saba Jamalian, Bowling Green State University

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Diversity

Tagged Divisions

Computing & Information Technology

, James and Jamjoom, Hani and Shae, Zon-Yin and others, "Enabling high-performance computing as a service," Computer, pp. 72-80, 2012.12. Alshuwaier, Faisal, Abdullah A. Alshwaier, and Ali M. Areshey. "Applications of cloud computing in education." Computing and Networking Technology (ICCNT), 2012 8th International Conference on. IEEE, 2012.13. Mircea, Marinela, and Anca Ioana Andreescu. "Using cloud computing in higher education: A strategy to improve agility in the current financial crisis." Communications of the IBIMA 2011 (2011): 1-15.14. Gong, C., Liu, J., Zhang, Q., Chen, H. & Gong, Z. (2010) “The Characteristics of Cloud Computing”, Parallel Processing Workshops (ICPPW), 2010 39th International Conference

Conference Session

Emerging Computing and Information Technologies I

Collection

2016 ASEE Annual Conference & Exposition

Authors

Justin L. Hess, Purdue University, West Lafayette; Lorraine G. Kisselburgh, Purdue University; Carla B. Zoltowski, Purdue University, West Lafayette; Andrew O. Brightman, Purdue University, West Lafayette

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Diversity

Tagged Divisions

Computing & Information Technology

Conference Session

Emerging Computing and Information Technologies I

Collection

2017 ASEE Annual Conference & Exposition

Authors

Damla Turgut, University of Central Florida; Lisa Massi, University of Central Florida; Salih Safa Bacanli, University of Central Florida; Neda Hajiakhoond Bidoki, University of Central Florida

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Diversity

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Computing & Information Technology

mentor (11variables) on the post-survey is 4.35 (out of 5) with std = 0.97. An inspection of the Q-Qplots and histogram graphs for the remaining five variables (v2, v4, v5, v8, and v12) forwhich the confidence interval were not computed (variables not normally distributed) showone or two outliers. These outliers could be a reflection of the type of research project andthe student’s academic level.Table 2 (Evaluation 1): CISE REU Survey Constructs Differences df Std. Error 95% confidence interval Mean SmdConstructs

Conference Session

Potpourri

Collection

2016 ASEE Annual Conference & Exposition

Authors

Roxanne Moore, Georgia Institute of Technology; Douglas Edwards, Georgia Institute of Technology; Jason Freeman, Georgia Institute of Technology; Brian Magerko, Georgia Institute of Technology; Tom McKlin, SageFox Consulting Group; Anna Xambo, Georgia Institute of Technology

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Diversity

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Computing & Information Technology

, pp. 131–141, Apr. 2008.[10] L. Williams, E. Wiebe, K. Yang, M. Ferzli, and C. Miller, “In Support of Pair Programming in the Introductory Computer Science Course,” Computer Science Education, vol. 12, no. 3, pp. 197–212, 2002.[11] C. D. Hundhausen, N. H. Narayanan, and M. E. Crosby, “Exploring studio-based instructional models for computing education,” in SIGCSE, 2008, vol. 8, pp. 392–396.[12] J. Cuny, “Address to the Computer Science Community,” 2012. [Online]. Available: http://www.ncwit.org/sites/default/files/legacy/pdf/CS10K_Cuny.pdf. [Accessed: 13-Apr-2015].[13] Q. H. Mahmoud, “Revitalizing Computing Science Education.,” IEEE Computer, vol. 38, no. 5, pp. 98–100, 2005.[14] A. J. Blood and R. J. Zatorre, “Intensely

Conference Session

Curricular Issues in Computing

Collection

2017 ASEE Annual Conference & Exposition

Authors

Tony Andrew Lowe, Purdue University, West Lafayette (College of Engineering); Sean P. Brophy, Purdue University, West Lafayette (College of Engineering)

Tagged Topics

Diversity

Tagged Divisions

Computing & Information Technology

, aspects of teamwork, or work that is not deemed to use or be a direct precursor to CTconcepts (e.g. statistics). The pedagogical approach used a semi-flipped classroom whereinstudents are expected to engage in the materials and come to class prepared. The typicalsequence of assessment is shown in Figure 1 and as follows.Figure 1 Pedagogical overview of HFYE 1. Reading – The course is supported by an online textbook which includes programming exercises. Problems are assigned from the text book weekly. 2. Q&A – Each class starts with a question and answer session based on the readings to focus the class session. 3. Readiness Assessment Test (RAT) - Students take this initial quiz to assess their self- guided learning