Page 25.1253.12and analyzed, therefore enabling the students to have a broader understanding of the differentkinds of network attacks’ behavior.Bibliography1. J. P. Anderson, Computer Security Threat Monitoring and Surveillance, Technical Report, James P. Anderson Co., Fort Washington, PA, April 1980.2. E. Denning, “An Intrusion-Detection Model,” IEEE Transactions on Software Engineering, Volume 13, Number 2, pp. 222-232, 1987.3. S. E. Smaha, “Haystack: An Intrusion Detection System,” Fourth Aerospace Computer Security Applications Conference, pp. 37-44, Austin, Texas, 1988.4. J. D. Howard, An Analysis of Security Incidents on the Internet 1989 – 1995, Dissertation, Carnegie Mellon University, Pittsburgh
Exposition, June 14-17, Austin Tx.6. Mahan, K., Huget, J., Chappell, J., Woodbury, K. and Taylor, R., 2009, “Excel in ME: Extending and Refining Ubiquitous Software Tools,” AC 2009-2295, 2009 ASEE Annual Conference and Exposition, June 14-17, Austin Tx.7. John, James E. and Keith, Theo G., 2006, Gas Dynamics, 3rd edition, Pearson Prentice Hall, Upper Saddle River, New Jersey.8. Dennard, John S. and Spencer, Patricia B., 1964, Ideal-Gas Tables for Oblique-Shock Flow Parameters in Air at Mach Numbers from 1.05 to 12.0, NASA TN D-2221, National Aeronautics and Space Administration, Washington, D.C. Page 22.665.19
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% Page 24.1170.9 Teams are asked to give a 10 minute presentation on their project during exam week. The following slides are suggested, but each team is free to vary this as they feel appropriate: Problem Description Alternatives Considered Final Design (CAD Model and S/W Flowchart) Video of Working Prototype (Approx. 2 Min) Results Problems Encountered/Overcome Lessons Learned Teams are asked to dress in business attire, as they would for an interview, and to make their slides on a CAD system or on PowerPoint. The rubric used for the presentation is shown in Table 4 below with typical results. Table 4: Presentation Rubric
and Self-Regulated Learning for Freshmen Engineering Students”, Proceedings of the 2011 ASEE Annual Conference, Paper Number: AC 2011-1679, 2011.18. David T. Butterworth, “Teaching C/C++ Programming with Lego Mindstorms”, International Conference on Robotics in Education (RIE), 2012.19. L. Johnson, S. Adams, and M. Cummins, Mobile apps. The NMC horizon report: 2012 higher education edition. Austin, Texas: The New Media Consortium, 2012.20. K. Brennan and M. Resnick, “New Frameworks for Studying and Assessing the Development of Computational Thinking”, Proceedings of the 2012 Annual Meeting of the American Educational Research Association, 2012.21. V. Barr and C. Stephenson, “Bringing computational thinking to K-12
Paper ID #32632Program Encryption Toolkit: A Tool for Digital Logic Education andUndergraduate ResearchDr. Jeffrey Todd McDonald, University of South Alabama Dr. Jeffrey ”Todd” McDonald is a Professor of Computer Science in the School of Computing at the University of South Alabama. He received his Ph.D. in Computer Science from Florida State University in 2006, his Master of Science degree in Computer Engineering from the Air Force Institute of Technology in 2000, and his Bachelor of Science degree in Computer Science from the U. S. Air Force Academy in 1990. His research interests include program protection and
, http://nces.ed.gov/fastfacts/display.asp?id=40, . (accessed: 4/1/2015). 4. Reeve Hamilton, “At UTEP, Success Is Not All About Graduation Rates”, March 2, 2012, http://www. nytimes .com/2012/03/02/us/utep-calls-for- success-criteria-other-than-graduation rates.html?pagewanted=all&_r=0 5. Steve Bossart, Senior Energy Analyst, DOE “Smart Grids & Microgrids for Government & Military Symposium” October 24-25, 2013, Arlington, VA. 6. X. Fang, S. Misra, G. Xue, D. Yang. Smart grid – the new and improved power grid: a survey. IEEE Communications Surveys Tutorials (2011). 7. B. Flores, "CAMPUS DIVERSITY FACTS”, http://research.utep.edu/ Default .aspx?tabid=44271, 1995-2007, (accessed 4/1/2015). 8
ASEE Pacific Southwest Conference, 2006.5. ExCEEd Teaching Workshop, West Point Military Academy, 2007. http://www.asce.org/exceed/seminars.cfm6. Lord, S., and L. Perry, “Tablet PC – Is it Worth it? A Preliminary Comparison of Several Approaches to UsingTablet PC in an Engineering Classroom,” ASEE Computers in Education Journal, pp. 66-75, YEAR?7. Razmov, V., and R. Anderson, “Pedagogical Techniques Supported by the Use of Student Devices in TeachingSoftware Engineering,” SIGCSE’06, March 1–5, 2006.8. Frolik, J, and J. B. Zurn, “Evaluation of Tablet PCs for Engineering Content Development and Instruction,ASEE National Conference Proceedings, 2004.9. Felder, R., and R. Brent, “Death by PowerPoint,” Chemical Engineering Education, Vol. 39
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the Net Generation, D.G. Oblinger and J.L. Obliner, Editors. 2005, EDUCAUSE.6. Technology and Student Achievement: The Indelible Link. 2008, International Society for Technology in Education (ISTE).7. Lai, K.-W. and K.-S. Hong, Technology use and learning characteristics of students in higher education: Do generational differences exist? British Journal of Educational Technology, 2015. 46(4): p. 725-738.8. Thompson, P., The digital natives as learners: Technology use patterns and approaches to learning. Computers & Education, 2013. 65: p. 12-33.9. Kirkwood, A., Teaching and learning with technology in higher education: blended and distance education needs ‘joined-up thinking’ rather than
positions include: Signal Platoon Leader, 32nd Signal Battalion, Darmstadt, Germany; Assistant Brigade S-3 Operations for the 22nd Signal Brigade; G-6 Signal Officer for V Corps Artillery, Schwetzingen, Germany; Company Commander of Delta Company, 551st Signal Battalion and Delta Company, 369th Signal Battalion, 15th Signal Brigade, Fort Gordon, Georgia; Chief of Enterprise Operations, Southwest Asia Cyber Center, Camp Arifjan, Kuwait. He has deployed twice for year-long assignments to Baghdad, Iraq in support of Operation IRAQI FREEDOM I from 2003-2004 and to Camp Arifjan, Kuwait to support theater communications in Southwest Asia from 2012-2013. LTC Lowrance’s education includes a Bachelor’s Degree in Electrical
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modeling and simulation concept andwas able to use it to speed the development of their project.References 1. FIRST Robotics, Link: http://www.firstinspires.org/ 2. Tetrix Robotics, Link: http://www.tetrixrobotics.com/3. Atmel ATxmega256A3BU microcontroller based XPlained board, Link: http://www.atmel.com/tools/XMEGA-A3BUXPLAINED.aspx4. F. Gonzalez, J. Zalewski, G. Pinzon, “An Educational Tool to Support Introductory Robotics Courses,” Proceedings of the. 122nd ASEE Annual Conference, Seattle WA. June 14-17, 2015. Paper No. 13128.5. Florida Gulf Coast University’s Whittaker Center for STEM Education, Link: http://www.fgcu.edu/WhitakerCenter/sro.html6. Denavit, J., R. S. Hartenberg, “A Kinematic Notation for Lower-Pair Mechanisms
using anIntegrated Virtual reality based e-learning tool with course management tool”, Innovative Techniques in InstructionTechnology, E-learning, E-assessment and Education, Proceedings, Springer, 2008.[20] Hazim El-Mounayri and Eugenia Fernandez and Tamer Wasfy, “Innovative Virtual Reality Environment forOnline Delivery of Advanced Manufacturing Curriculum: Development, Certification, and Assessment, 2008ASME International Mechanical Engineering Congress & Exposition (IMECE2008), 2008.[21] H. El-Mounayri, T. Wasfy, E. Fernandez, C. Feldhaus, and S. Lang, “Assessment of a dual-credit online Coursefor STEM pathways”, ASEE 2010 Global Colloquium on Engineering Education, Singapore, Oct. 18-21, 2010.[22] Wasfy, H.M., Wasfy, T.M., Peters, J.M
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Page 26.460.9Subsumption Architecture in the 1980’s at MIT. This paradigm for controlling robots wasrevolutionary in its treatment of the three robot primitives - sense, plan, and act, which up untilthat time involved a heavy planning and world modeling component. Behavior based controlprograms did not rely on planning, but they separated the robot’s brain into modular behaviorsthat were triggered by sensor inputs. The output of the behaviors sent commands to the actuators,and these commands could be suppressed by other behaviors. The simplest manner in which tochoose which behavior the robot executes at any time is to list behaviors in an order of priority.The behaviors cooperate in that any behavior can be executed at any time, if the right
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Students Construct Understanding ?,” ISLS Int. Soc. Learn. Sci., no. 206, pp. 497–503, 2002.[14] T. Chambers, J. Raush, and G. Massiha, “Pilot solar thermal power plant station in southwest Louisiana,” Int. J. Appl. Power Eng., vol. 2, no. 1, 2013.[15] C. W. Borst, K. A. Ritter III, and T. L. Chambers, “Virtual Energy Center for Teaching Alternative Energy Technologies,” in IEEE VR 2016 Conference, 2016, pp. 157–158.[16] K. Johnson, “Solar Energy in the United States: A Decade of Record Growth,” 2015.[17] K. S. Hale and K. M. Stanney, Handbook of virtual environments: Design, implementation, and applications. CRC Press, 2014.[18] R. R. Hake, “Interactive-engagement versus traditional methods: A six-thousand-student
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-other- than-graduation rates.html?pagewanted=all&_r=05. Steve Bossart, Senior Energy Analyst, DOE “Smart Grids & Microgrids for Government & Military Symposium” October 24-25, 2013, Arlington, VA.6. X. Fang, S. Misra, G. Xue, D. Yang. Smart grid – the new and improved power grid: a survey. IEEE Communications Surveys Tutorials (2011).7. B. Flores, "CAMPUS DIVERSITY FACTS”, http://research.utep.edu/ Default .aspx?tabid=44271, 1995-2007, (accessed 4/1/2015).8. J.V. Koch, “TQM: Why is its impact in higher education so small?,” TQM Magazine, vol. 15, no. 5, 2003, pp. 325.9. R. Schroeder, et al., “TQM in Education: Changing the Culture of Schools ” 1997; nsf.gov. http://www.nsf.gov
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and assessment of this paper’s activities in their classrooms.References 1. Rogers, C. and Portsmore, M. 2004. “Bringing Engineering to Elementary School.” Journal of STEM Education. 5(3): 17-28. 2. Norton, S. 2004. “Using Lego to Integrate Mathematics and Science in an Outcomes Based Syllabus.” Proc. AARE Annual Conference. Melbourne, Australia. 3. Ortiz, A.M. 2011. “Fifth Grade Students’ Understanding of Ratio and Proportion in an Engineering Robotics Program.” Proc. Amer. Soc. Eng. Ed. Session M444B. British Columbia, Canada. 4. Williams, K., et al. 2012. “Enriching K-12 Science and Mathematics Education Using LEGOs.” Advances in Engineering Education. 3(2). 5. RWTH - Mindstorms NXT Toolbox
; Giles, C.L. CiteSeerx: an architecture and web service design for an academic document search engine. Proceedings of the 15th international conference on World Wide Web 883–884 (2006).17. Uren, V., Buckingham Shum, S., Bachler, M. & Li, G. Sensemaking tools for understanding research literatures: Design, implementation and user evaluation. International journal of human-computer studies 64, 420–445 (2006).18. Chau, D.H., Kittur, A., Hong, J.I. & Faloutsos, C. Apolo: making sense of large network data by combining rich user interaction and machine learning. Proceedings of the 2011 annual conference on Human factors in computing systems 167–176 (2011).19. Cairns, P. & Cox, A.L. Research Methods for Human-Computer
.). San Francisco: Morgan Kaufmann.6 Prensky, M. (2001). Digital game-based learning (1 ed.). St. Paul, MN: Paragon House.7 Berque, D. (2006). An evaluation of a broad deployment of DyKnow software to support note taking and interaction using pen-based computers. Journal of Computing Sciences in Colleges, 21(6), 204-216.8 Lindell, S. (2010). Real-time collaboration tools for digital ink. Journal of Computing Sciences in Colleges, 25(3), 24-31.9 Ramesh, C., Rusu, A., Ismail, M., & Skoglund, M. (2007). TrACS: transceiver architecture and wireless channel simulator. Paper presented at the Proceedings of the 20th annual conference on Integrated circuits and systems design
languages. Limits in conceptual knowledge means that they are limited to solving well-defined tasks with specified tools. When faced with a more open-ended or complex problems, limits in conceptual knowledge will mean they will probably not be able to solve the problem. Proficiency The individual has some conceptual knowledge of both computing systems and their application domain. When presented with a problem, they are able select the appropriate tools(s), seek the necessary information, and present a solution. The regularly used technical skills are committed to memory and external information resources are
. Page 25.1281.13While on one hand, the feedback we collected does not provide a fully comprehensive evaluationof our outcomes, the feedback does provide us with confidence that we made the right choice inadopting the CPLD into our logic circuits course. It also provided us with the guidance toformulate our recommendations with regard to how to improve future offerings. Thus in closing,we feel that our course change achieved the initial goals and is successful.References 1. M. Radu, C. Cole, M. Dabacan, and S. Sexton, “Extensive Use of Advanced FPGA technology in Digital Design Education,” ASEE National Convention, 2008, session 2139 2. G. Wang, “Teaching Digital Logic Using CAD Tools in a Teaching-Oriented University, ASEE
Syllabus Week Day 1 Lecture Day 2 Lecture Lab Assignment(s) 1 Introduction Use Cases Java Refresher and Data Team Member Resume The Software Crisis Collection 2 Requirements System Behavior OO CASE Tool and Effort Lab 1 Report Domain Models Sequence Diagrams Estimation Contracts 3 Interaction Diagrams Assigning Responsibilities Project, Cycle 1: Lab 2 Report Analysis 4