Conference Session

Embedded Systems and Mobile Computing

Collection

2013 ASEE Annual Conference & Exposition

Authors

Javad Shakib, DeVry University, Pomona

Tagged Divisions

Computing & Information Technology

, the behavioral change is possible because the involved systems haveknowledge about other co-located wireless devices. Page 23.1244.13References1. Gang Zhao, Network Protocols and Algorithms, 2011, Vol. 3, No. 1, Wireless Sensor Networks for Industrial Process Monitoring and Control: A Survey.2. L. Q. Zhuang, K. M. Goh and J. B. Zhang, 1-4244-0826-1/2007 IEEE , The Wireless Sensor Networks for Factory Automation: Issues and Challenges.3. http://www.ni.com/white-paper/7142/en, published May 05, 20124. Javad Shakib, Mohammad Muqri ,118th Annual ASEE Conference, Session: AC 2011- 389, Wireless Technologies in Industrial

Conference Session

Embedded Systems and Mobile Computing

Collection

2014 ASEE Annual Conference & Exposition

Authors

Vamshi Krishna Bolly, Purdue University; John Springer, Purdue University, West Lafayette, IN, USA; J. Eric Dietz, Purdue University

Tagged Divisions

Computing & Information Technology

. Rixner, and A.L. Cox. “The Hadoop distributed filesystem: Balancing portability and performance,” in Performance Analysis of Systems & Software (ISPASS), 2010 IEEE International Symposium, on pages 122-133, IEEE, 2010.7. G. Attebury, A. Baranovski, K. Bloom, B. Bockelman, D. Kcira, J. Letts, T. Levshina, C. Lundestedt, T. Martin, W. Maier, H. Pi, A. Rana, I. Sfiligoi, A. Sim, M. Thomas, and F. Wuerthwein. “Hadoop Distributed File System for the grid,” in Nuclear Science Symposium Conference Record (NSS/MIC), 2009 IEEE, on pages 1056-1061. IEEE, October, 2009.8. R. P. Padhy. “Big Data Processing with Hadoop-MapReduce in Cloud Systems,” in International Journal of Cloud Computing and Services Science (IJ

Conference Session

Curricular Issues in Computing and Information Technology Programs I

Collection

2014 ASEE Annual Conference & Exposition

Authors

Jeffrey Chastine, Southern Polytechnic State University (ENG); Charles Richard Cole, Southern Polytechnic State University; Christopher Welty, Southern Polytechnic State University

Tagged Divisions

Computing & Information Technology

resulted in 1) amore professional-looking game than in previous semesters where no collaboration occurred and2) a more natural way and interactive way for architects to convey their vision. As an example,the figure below (Figure 9) shows a project from a previous semester in which assets were eithermade by the game developer, or found for free on the Internet. While the space-shooting gameplayed very well, the structures were visually lacking. Page 24.193.17 Figures 9 a) a distant view of an arena and b) inside the arenaConclusion Why collaborate? Our institution has long had a reputation of using project-based educa-tion as

Conference Session

Innovations in Computing Education

Collection

2012 ASEE Annual Conference & Exposition

Authors

Mohammad Rafiq Muqri, DeVry University, Pomona; James R. Lewis, DeVry University, Pomona

Tagged Divisions

Computing & Information Technology

the best practices in implementing future iPhone apps development.Bibliography1. Muqri, M., Shakib, J., A Taste of Java-Discrete and Fast Fourier Transforms, American Society for Engineering Education, AC 2011-451.2. Shakib, J., Muqri, M., Leveraging the Power of Java in the Enterprise, American Society for Engineering Education, AC 2010-1701.3. Learning Objective-C: A Primer, iOS Developer Library, http://developer.apple.com/devcenter/ios/gettingstarted/docs/objectivecprimer.action4. The Objective- C Programming Language, February 2003, http://pj.freefaculty.org/ps905/ObjC.pdf5. Altenberg, B., Clarke, A., Mougin, P., Become an Xcoder : Start Programming the Mac Using Objective-C, CocoaLab, 2008, http

Conference Session

Information and Network Security

Collection

2014 ASEE Annual Conference & Exposition

Authors

Manghui Tu, Purdue University Calumet; Shiming Xue, Purdue University Calumet

Tagged Divisions

Computing & Information Technology

, R. (2008).The “big picture” of insider IT sabotage across U.S. critical infrastructures. Advances inInformation Security. 39, pp. 17-52.[12] Pearce, M., Zeadally, S., Hunt, R. (2013). Virtualization: issues, security threat, and solutions. Journal ofACM Computing Survey, 45(2), pp. 17:1-17:39.[13] Poolsapassit, N. and Ray, I. (2007). Investigating computer attacks using attack trees. In IFIPInternational Federation for Information Processing, 242. Advanced Digital Forensics III. pp. 331-343.[14] Popovsky B. and Frincke, D. (2004). Adding the fourth “R”. In Proceeding of the 2004 IEEE Workshop onInformation Assurance. pp.442-443.[15] Popovsky, B. E. Frincke, D. and Taylor, C.(2007). A

Conference Session

Embedded Systems and Mobile Computing

Collection

2014 ASEE Annual Conference & Exposition

Authors

Cho Sehyeong, Myong Ji University; Yeonseung Ryu, Myongji University; Sang-Kyun Kim, Myongji University

Tagged Divisions

Computing & Information Technology

same semantics: the return value is stored in the temporarymemory – the accumulator – and has exactly the same meaning: the number of successful inputitems. To further relieve students from the burden of syntactic detail, node types changeautomatically. For example, if one types in ‘putchar’ inside a processing node, the node Page 24.850.3automatically changes into an I/O node; if you type ‘a=b’ in an I/O node, it changes into aprocessing node. For another example, if one types in a function name, the processing node ismarked as a function call node for easy visual identification (see in Figure 1). Figure 1. Snapshot of CFL

Conference Session

Emerging Computing and Information Technologies II

Collection

2015 ASEE Annual Conference & Exposition

Authors

Edward F. Gehringer, North Carolina State University

Tagged Divisions

Computing & Information Technology

mellifluously,” New YorkTimes, April 22, 2012.[2] Fox, Armando; Canny, John, “Autograding and online ed technology,”https://docs.google.com/document/d/11e7HzGGRAvAhTce6L7P33fyQUo67wO_Qbec6cGynrKo/edit#heading=h.vo90ekim8uj0, accessed Feb. 2, 2015[3] Beitzel, B. D.; Gonyea, N. E., “The rubric interview: a technique for improving the reliabilityof scoring written products,” Proc. 2014 Virginia Tech Conference on Higher EducationPedagogy, p. 242.[4] Edwards, S.H; Perez-Quiñones, M.A., “Web-CAT: automatically grading programmingassignments.” In Proceedings of the 13th annual conference on Innovation and technology incomputer science education (ITiCSE '08). ACM, New York, NY, USA, 328-328, 2008.DOI=10.1145/1384271.1384371 http

Conference Session

Curricular Issues in Computing

Collection

2017 ASEE Annual Conference & Exposition

Authors

Joshua Levi Weese, Kansas State University; Russell Feldhausen, Kansas State University

Tagged Topics

Diversity

Tagged Divisions

Computing & Information Technology

- in-schools/report/19. Seehorn, D., Carey, S., Fuschetto, B., Lee, I., Moix, D., O'Grady-Cunniff, D., . . . Verno, A. (2011). CSTA K-12 Computer Science Standards. New York: Association for Computing Machinery. Retrieved March 31, 2016, from http://csta.acm.org/Curriculum/sub/CurrFiles/CSTA_K-12_CSS.pdf20. Seiter, L., & Foreman, B. (2013). Modeling the Learning Progressions of Computational. Proceedings of the ninth annual international ACM conference on International computing education research - ICER '13, (pp. 59-66).21. Snow, E., Haertel, G., Fulkerson, D., Feng, M., & Nichols, P. (2010). Leveraging Evidence-Centered Assessment Design in Large-Scale and Formative Assessment

Conference Session

Curricular Issues in Computing and Information Technology Programs II

Collection

2015 ASEE Annual Conference & Exposition

Authors

Bushra Tawfiq Chowdhury, Virginia Tech; Sam Blanchard, Virginia Polytechnic Institute and State University; Kirk W Cameron; Aditya Johri, George Mason University

Tagged Divisions

Computing & Information Technology

: Balanced designs for deeper learning in an online computer science course for middle school students. 2014, Stanford University.[6] Lahtinen, E., K. Ala-Mutka, and H.-M. Järvinen. A study of the difficulties of novice programmers. in ACM SIGCSE Bulletin. 2005. ACM.[7] Streveler, R.A., et al., Learning conceptual knowledge in the engineering sciences: Overview and future research directions. Journal of Engineering Education, 2008. 97(3): p. 279-294.[8] Barney, B., Introduction to parallel computing. Lawrence Livermore National Laboratory, 2010. 6(13): p. 10.[9] Nevison, C.H., Parallel Computing for Undergraduates. National Science Foundation and Colgate

Conference Session

Emerging Computing and Information Technologies I

Collection

2017 ASEE Annual Conference & Exposition

Authors

Parameswari Ramanathan, Indiana University-Purdue University, Indianapolis; Eugenia Fernandez, Indiana University-Purdue University, Indianapolis

Tagged Divisions

Computing & Information Technology

firsttest/exam. Results are provided in Table 4. As you can see from the results, the percentage ofstudents whose grade stayed the same or improved was fairly consistent for assignment 1 and 2,increased a bit on the combined assignments, and was significantly higher for the first test/exam. A B C DFigure 1. Correlation of student's final grade with Assignment 1 (A), Assignment 2 (B), combined assignments (C) and first test/exam grades (D). Table 4. Results of Chi-square Goodness of Fit Test Comparing Proportion of Final Grade Equal to or Higher than Variable Grade Against Chance

Conference Session

Computing & Information Technology Division Technical Session

Collection

2016 ASEE Annual Conference & Exposition

Authors

Mayari I. Serrano, Purdue University, West Lafayette; Alejandra J. Magana, Purdue University, West Lafayette; Baijian Yang, Purdue University

Tagged Topics

Diversity

Tagged Divisions

Computing & Information Technology

. As illustrated in Figure 1, the focus ofthis problem-based activity is to promote students’ learning in the core concepts related toHyper-Text Transfer Protocol Secure, or HTTP over SSL. The learning objectives for thisparticular activity are: (a) review firewall, network design and web server configurationprocesses; (b) identify differences between HTTPS and HTTP; (c) migrate a website from HTTPto HTTPS; (d) acquire, activate and install certificates; (e) identify potential vulnerabilitiesrelated to data security; (f) define best practices related to HTTPS implementation; and (g)delineate optimal encryption method. Figure 1 presents the MEA.Once the learning objectives were identified, the next step in the process was to apply the

Conference Session

Curricular Issues in Computing and Information Technology Programs I

Collection

2015 ASEE Annual Conference & Exposition

Authors

Gholam Ali Shaykhian, -; Mohd Abdelgadir Khairi, Najran University; Jinan Ziade, University of Phoenix

Tagged Divisions

Computing & Information Technology

Figure 1. Survey participant’s choices based on factors. 7References[1] Creswell, J. W. (2004). Educational research planning, conducting, and evaluating quantitative and qualitative research (2nd ed.). Columbus, Ohio: Merrill Prentice Hall.[2] Karel, B. (2010). Introducing The MDM Market’s Newest 800lb Gorilla: Informatica Acquires Siperian! . Retrieved from http://blogs.forrester.com/business_process/2010/01/introducing-the-mdm- markets-newest-800lb-gorilla-informatica-acquires-siperian.html.[3] Madhukar, N. (2009, June 24). Federated MDM data domains - A Perspective. Retrieved from http://www.infosysblogs.com/customer

Conference Session

Curricular Issues in Computing and Information Technolog Programs

Collection

2013 ASEE Annual Conference & Exposition

Authors

Brian R. King, Bucknell University; Ashwin Satyanarayana, New York City College of Technology

Tagged Divisions

Computing & Information Technology

for a pattern to be "interesting". 2. Data Preprocessing. Real world data are generally (a) incomplete: lacking attribute values, lacking certain attributes of interest, or containing only aggregate data (b) noisy: containing errors or outliers and (c) inconsistent: containing discrepancies in codes or names. Certain basic preprocessing techniques are discussed here, including: • Data cleaning: fill in missing values, smooth noisy data, identify or remove outliers, and resolve inconsistencies. • Data integration: using multiple databases, data cubes, or files. • Data transformation: normalization and aggregation. • Data reduction: reducing

Conference Session

New Trends in Computing and Information Technology Education

Collection

2014 ASEE Annual Conference & Exposition

Authors

Vicky L. Smith, Indiana University Purdue University, Indianapolis; Eugenia Fernandez, Indiana University Purdue University, Indianapolis

Tagged Divisions

Computing & Information Technology

Science Teaching, 42(5), 36-41.9. Hoyt, J. E., & Winn, B. A. (2004). Understanding retention and college student bodies: Differences between drop-outs, stop-outs, opt-outs, and transfer-outs. NASPA Journal (National Association of Student Personnel Administrators, Inc.), 41(3), 395-417.10. Divjak, B., Ostroski, M., & Hains, V. V. (2010). Sustainable student retention and gender issues in mathematics for ICT study. International Journal of Mathematical Education in Science & Technology, 41(3), 293-310. doi: 10.1080/0020739090339841611. Wasburn, M. H., & Miller, S. G. (2008). Keeping women students in technology: Preliminary evaluation of an intervention. Journal of College Student Retention: Research

Conference Session

Curricular Issues in Computing and Information Technology Programs I

Collection

2014 ASEE Annual Conference & Exposition

Authors

Mohammad Rafiq Muqri, DeVry University, Pomona; Hasan Muqri, UCLA; Shih Ek Chng, DeVry University, Pomona

Tagged Divisions

Computing & Information Technology

undetermined coefficients we try the particular solution Qp(t) = (Acos10t + B sin10t) Qp’(t) = -10 Asin10t + 10B Substituting in Equation (1.10) and comparing coefficients we get A = 84/697 and B = 64/697 So a particular solution is Qp(t) = 1/697(84cos10t + 64 sin10t) (1.12) So the general solution is Q(t) = Qc(t) + Qp(t) (1.13) Q(t) = e-20t (c1cos15t + c2 sin15t) + 1/697(84cos10t + 64 sin10t) (1.14) Since I = dQ/dt, Differentiating Equation (1.14) and substituting the given the initial condition Q(0) = 0, we determine c1 = -84/697, c2 = -464/2091 Thus the formula for the charge is Q(t) = Q(t) = e-20t (-84/697cos15t - 464/2091 sin15t) + 1/697(84cos10t + 64 sin10t) And the

Conference Session

Curricular Issues in Computer-Oriented Programs

Collection

2011 ASEE Annual Conference & Exposition

Authors

Joseph Idziorek, Iowa State University; Mark F. Tannian, Iowa State University; Douglas W. Jacobson, Iowa State University

Tagged Divisions

Computing & Information Technology

effort is needed, educating all users ofinformation technology from the young to the old, technically savvy to the inexperienced. While Page 22.1379.13this paper was written in the context of university students, it is our belief our user-focusedapproach can be adapted to a wider range of audiences including high school students and          community groups to name a few. As educators, we feel this course fulfills in part our duty toprepare students to be constructive contributors as virtual residents of cyber space.Bibliography1. B. Schneier, Secrets

Conference Session

Emerging Computing and Information Technologies II

Collection

2017 ASEE Annual Conference & Exposition

Authors

Joseph William Beckman, Purdue University; Melissa Jane Dark, Purdue University; Pratik Kashyap, Purdue University; Sumra Bari, Purdue University, School of Electrical and Computer Engineering; Samuel S. Wagstaff Jr, Purdue University; Yingjie Chen, Purdue Polytechnic Institute; Baijian Yang, Purdue Polytechnic Institute

Tagged Topics

Diversity

Tagged Divisions

Computing & Information Technology

different representations can easily translate between them, and can assess theusefulness of a particular representation in different situations. Similarly, Spiro (1992) found thatwhen learners develop multiple representations they are better able to transfer knowledge to newdomains with increased cognitive flexibility (Spiro, 1992). Representational fluency in theSTEM fields can include: a) visualizing and conceptualizing transformation processes abstractly;b) understanding systems that do not exhibit any physical manifestations of their functions; c)transforming physical sensory data to symbolic representations and vice versa; d) quantifyingqualitative data, e) qualifying quantitative data; f) working with patterns; g) working withcontinuously

Conference Session

Emerging Information Technologies

Collection

2012 ASEE Annual Conference & Exposition

Authors

Robert E. Efimba P.E., Howard University; Tori Rhoulac Smith, Howard University

Tagged Divisions

Computing & Information Technology

, one of the authors has taught his mechanics courses from classlecture notes and handouts13,14, and provided CBA’s from a range of topics, such as: a. Vector algebra – addition and multiplication; b. Particle equilibrium; c. Equivalent Force and Moment Systems; d. Reactions for plane trusses and frames; e. Analysis of a three-bar truss; f. Geometric properties of lines, areas, or masses; g. Equilibrium of an object on a rough inclined plane; and h. Shear force and bending moment diagrams for cantilevers and simple beams.Some typical CBA’s are shown in the Appendix.For the data presented in this paper, students were organized into teams of four or five persons,with each team having approximately equal academic strength

Conference Session

Information and Network Security

Collection

2012 ASEE Annual Conference & Exposition

Authors

Tokunbo Ogunfunmi, Santa Clara University

Tagged Divisions

Computing & Information Technology

Calculate Quantize Harmonic Amplitudes Amplitudes Fig 2.1(a): Block Diagram of Split-Band LPC Encoder. Page 25.960.6The blocks are implemented in MATLAB Simulink. The Simulink Model is as shown in Fig.2.1(b) yout3 Signal To Workspace3

Conference Session

Potpourri

Collection

2015 ASEE Annual Conference & Exposition

Authors

Joseph Alan Nygate, Rochester Institute of Technology (CAST); Richard Cliver, Rochester Institute of Technology (CAST)

Tagged Divisions

Computing & Information Technology

– Geospatial LayoutHowever, the student’s initial feedback was that the diagram was not clear as the applications Page 26.929.7and locations used the same color and font. Consequently, in most of their homeworkassignments they used a coloring scheme such as shown in Figure 7. Figure 7: Student’s Diagram – Geospatial LayoutMoreover, other students realized that this sort of diagram is not scalable and will become veryunclear and messy if there are many applications and locations with complex mappingrequirements. They suggested the use of a matrix as shown in Figure 8 below. Building App. A App. B

Conference Session

Potpourri

Collection

2015 ASEE Annual Conference & Exposition

Authors

Gretchen G. Achenbach, National Center for Women & IT; Leslie G. Cintron PhD, University of Virginia; J McGrath Cohoon, University of Virginia; Philip Michael Sadler, Harvard Smithsonian Center for Astrophysics; Gerhard Sonnert, Harvard University

Tagged Topics

Diversity

Tagged Divisions

Computing & Information Technology

collective intelligence factor in the performance of human groups. Science, 330, 686-688. doi: 10.1126/science.119314710. Bear, J. B., & Woolley, A. W. (2011). The role of gender in team collaboration and performance. Interdisciplinary Science Reviews , 36(2), 146-153. DOI 10.1179/030801811X1301318196147311. Joshi, A., & Roh, H. (2009). The role of context in work team diversity reasearch: A meta-analytic review. Academy of Management Journal, 52(3), 599-627. http://www.jstor.org/stable/4039030612. Forrest, C. (2014). Diversity Stats: 10 tech companies that have come clean. Retrieved from TechRepublic: http://www.techrepublic.com/article/diversity-stats-10-tech-companies-that-have-come-clean/13. Pepitone, J. (2014

Conference Session

Topics in Computing and Information Technologies I

Collection

2015 ASEE Annual Conference & Exposition

Authors

Tanner Lund, Brigham Young University; Hayden Panike; Samuel Moses, Brigham Young University; Dale C Rowe, Brigham Young University; Joseph J Ekstrom, Brigham Young University

Tagged Divisions

Computing & Information Technology

Paper ID #13391Practical Data Mining and Analysis for System AdministrationTanner Lund, Brigham Young University Tanner Lund is a research assistant at Brigham Young University studying Information Technology. His fields of study include system administration and network management, with a specialization in dis- tributed computing and log analysis. He has a strong interest in machine learning and applying its princi- ples to network management.Hayden PanikeMr. Samuel MosesDr. Dale C Rowe, Brigham Young University Dr. Rowe has worked for nearly two decades in security and network architecture with a variety of

Conference Session

Curricular Issues in Computing and Information Technolog Programs

Collection

2013 ASEE Annual Conference & Exposition

Authors

Hoda Baytiyeh, The American university of Beirut

Tagged Divisions

Computing & Information Technology

' Percieved Satisfaction, Behavioral Intention, and Effectiveness of E-Learning: A Case Study of the Balckboard System." Computers & Education, Vol. 51, pp. 864-73.11. Marques, B. P., J. E. Villate, and C. V. Carvalho. (2011). "Applying the Utaut Model in Engineering Higher Education: Teacher's Technology Adoption." In 6th Iberian Conference on Information Systems and Technologies (CISTI), 1-6: IEEE.12. Sumak, B., G. Polancic, and M. Hericko. (2010). "An Empirical Study of Virual Learning Page 23.961.8 Environemnt Adoption Using Utaut." In Second International Conference on Mobile, Hybrid, and On-line

Conference Session

Topics in Computing and Information Technologies

Collection

2014 ASEE Annual Conference & Exposition

Authors

Manaz Rusi Taleyarkhan, Purdue University; Oluwatosin Alabi, Purdue University, West Lafayette; Alejandra J. Magana, Purdue University, West Lafayette; Thomas J. Hacker, Purdue University, West Lafayette

Tagged Divisions

Computing & Information Technology

of use: (a) to upload files of unprocessed data after experiments or todownload data for model validation (8 responses): “I have used NEEShub to downloadexperimental data required for model validation”; (b) to use it for collaboration anddocumentation purposes (3 responses): “I use it for the group space to share ideas and files withcolleagues at other institutions. I use it to completely document my experiments so that they areavailable to others and to me in the years to come;” (c) to find disciplinary content (2 responses):“We look up references, videos, earthquake info, etc.;” (d) to perform simulations (1 response).In the second open-ended question, we asked participants to report whether or not they wereconsidering keeping using

Conference Session

Curricular Issues in Computing and Information Technology Programs II

Collection

2014 ASEE Annual Conference & Exposition

Authors

Reneta Davina Lansiquot, New York City College of Technology; Ashwin Satyanarayana, New York City College of Technology; Candido Cabo, New York City College of Technology/CUNY

Tagged Divisions

Computing & Information Technology

Paper ID #8722Using Interdisciplinary Game-based Learning to Develop Problem Solvingand Writing SkillsDr. Reneta Davina Lansiquot, New York City College of Technology Reneta D. Lansiquot is Associate Professor of English and Assistant Director of the Honors Scholars Program where she earned her first degrees, an A.A.S. in Computer Information Systems and a B. Tech in Computer Systems, New York City College of Technology, City University of New York. She earned her Ph.D. in Educational Communication and Technology at New York University after completing her M.S. in Integrated Digital Media at Polytechnic University (now The

Conference Session

Emerging Information Technologies

Collection

2012 ASEE Annual Conference & Exposition

Authors

Erin Shaw, University of Southern California; Michael Crowley, University of Southern California; Jaebong Yoo, University of Southern California; Hao Xu, University of Southern California; Jihie Kim, University of Southern California

Tagged Divisions

Computing & Information Technology

results may only bemeaningful to specific instructors, given the unique nature of any one course, although we expectthat instructors who use question and answer style discussion boards will also find these resultsuseful. The next step in the study is to interview a second teacher, whose course workflows havebeen developed, starting with the results from this investigation.AcknowledgementsThe work was supported by the National Science Foundation, under Human-CenteredComputing grant #0917328. Page 25.177.8Bibliography 1. Deelman, E., Singh, G., Su, M., Blythe, J., Gil, Y., Kesselman, C., Mehta, G., Vahi, K., Berriman, G. B., Good, J

Conference Session

Information and Network Security

Collection

2013 ASEE Annual Conference & Exposition

Authors

john pickard, East Carolina University; Te-shun Chou, East Carolina University; Philip J Lunsford II P.E., East Carolina University; John Spence

Tagged Divisions

Computing & Information Technology

Security Instruction. J. Educ. Resour. Comput. 6(4), 5. doi: 10.1145/1248453.1248458.2. Cao, X., Y. Wang. Wang, A. Carciula & Wang. 2009. Developing a multifunctional network laboratory for teaching and research. In Proceedings of the 10 th ACM conference on SIG-information technology education, 155-160. Fairfax, Virginia, USA: ACM.3. Curtis, S. 2011. World IPv4 Stocks Finally Run Out. TechWeek Europe.4. DoD HPC. 2012. IPv6 not Needed Here. Retrieved 11 December, 2012 from http://www.hpcmo.hpc.mil/cms2/5. EMC. 2012. EMC Academic Alliance. Retrieved 11 December, 2012, from https://education.emc.com/academicalliance.6. Hamza, M. K., Alhalabi, B., Hsu, S., Larrondo-Petre, M. M., and Marcovitz, D.M. 2003. Remote

Conference Session

Information and Network Security

Collection

2014 ASEE Annual Conference & Exposition

Authors

Jane LeClair, National Cybersecurity Institute at Excelsior College; Denise Pheils, National Cybersecurity Institute

Tagged Divisions

Computing & Information Technology

). Page 24.196.1111. McGee, M. (2013) Retrieved from the internet on 12/24/2013 http://www.databreachtoday.com/settlement-in-avmed-breach-suit-a-618812. Osborne, M. (2006). Managing information security. Rockland, MA: Syngress Publishing.13. Paramaguru, K. (2013). “Target sued for credit card hack”. Time.com. 12/20/2103.14. Ricart, P., Soulis, F., Nadeau, Y. (2013). Beware of social engineering. CA Magazine. 146(8).15. Ruppert, B. (2009) Retrieved from the internet on 12/20/2013 at http://www.sans.org/reading-room/whitepapers/incident/protecting-insider-attacks-33168?show=protecting-insider-attacks-33168&cat=incident16. Sales, N. (2013). “Regulating cyber-security”. Northwestern University Law Review. 107(4).17. Woodyard, C. (2013) Retrieved

Conference Session

Curricular Issues in Computing and Information Technology Programs II

Collection

2015 ASEE Annual Conference & Exposition

Authors

Chengying Xu, Florida State University; Seyed Mousavinezhad, Idaho State University

Tagged Divisions

Computing & Information Technology

Design (CAD) of Recursive/Non-Recursive FiltersA b s t r a c t. Computer Tools are integral part of many engineering design courses, they shouldbe used in the right place, right time. Courses in the Digital Signal Processing/Filter areas(including speech, image and video processing) have been traditionally viewed by students to befairly mathematical subjects including many abstractions (e.g., spectrum, analysis/designmethods in time/frequency domains, SNR, bandwidth, white/pink noise, various transforms, etc.)The pedagogical value of this work is that, with the help of modern engineering tools,engineering educators can better help students visualize these apparently difficult (but important)concepts. We focus on the subject of designing digital

Conference Session

POTPOURRI

Collection

2013 ASEE Annual Conference & Exposition

Authors

Afsaneh Minaie, Utah Valley University; Paymon Sanati-Mehrizy, Icahn School of Medicine at Mount Sinai; Ali Sanati-Mehrizy; Reza Sanati-Mehrizy, Utah Valley University

Tagged Divisions

Computing & Information Technology

Technology, Sensing, and Simulation (CE)Stanford CS221: ArtificialUniversity28 Intelligence: CS Principles and Techniques CS229- Machine Learning EE 294 A – AI EE 294 B – Probabilistic Models in AI EE 294C – Machine LearningUniversity of Genetic CE889-7-AU: Offering an MSc inEssex29(U.K.) Programming and ARTIFICIAL Computational