://www.abet.org/EAC/eac2000.html, accessed March 10, 1998. 2.) Hanneman, L.F., "A Collaborative Effort of Faculty and Employers to Develop ABET Criteria 2000 Outcomes Assessment Tools for Cooperative Education." American Society for Engineering Education Conference for Industry and Education Collaboration, 2000, Session CED 415. 3.) Mickelson, S. K., L. F. Hanneman, R. Guardiola, and T. J. Brumm, "Development of Workplace Competencies Sufficient to Measure ABET Outcomes.” Proceedings of the 2001 American Society for Engineering Education Annual Conference & Exposition, Session 1608. 4.) Hanneman, L.F., S.K. Mickelson, L.K. Pringnitz, and M. Lehman, "Constituent- Created, Competency-Based, ABET
Criteria 2000 Outcomes Assessment Tools for Cooperative Education." American Society for Engineering Education Conference for Industry and Education Collaboration, 2000, Session CED 415. 2. Mickelson, S. K., L. F. Hanneman, and T.J. Brumm, "Validation of Workplace Competencies Sufficient to Measure ABET Outcomes." . Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition. 3. Hanneman, L.F., S.K. Mickelson, L.K. Pringnitz, and M. Lehman, "Constituent-Created, Competency-Based, ABET-Aligned Assessment Tools for the Engineering Experiential Education Workplace. 2002 ABET National Annual Meeting 2nd National Conference on Outcomes Assessment For program
) and the Technology Accreditation Commission (TAC) of the AccreditationBoard of Engineering and Technology, Inc. (ABET) [1,2]. Designing curricula and courses thatutilize these modern tools without short-changing coverage of classical engineering theory canbe a delicate balance. Consider the use of finite element analysis (FEA) software. In the1970’s and early 1980’s, most courses in FEA courses were taught at the graduate level, withheavy emphasis on theory. Later in the 1980’s and into the 1990’s, FEA classes were added atthe undergraduate level, as use of the tool became more widespread in industry. Becausecommercial FEA programs were complex to learn and use, it was difficult to combine significanttheory with instruction in how to use a
vmpp vmppDifferentiating (1) gives v iRs 1 R di di v isat e t s (10) dv v v dv t t This gives v mpp i mpp Rs i sat vt
, 2008 4. Chang, K.C., Digital System Design with VHDL and Synthesis, IEEE CS, 2006 5. Sandige, Richard S., Digital Design Essentials, Prentice-Hall Inc., 2002 6. Altera Cooperation, FPGA University Program Tutorial Using Verilog HDL, 2008BiographyTariq Qayyum graduated from University of Engineering and Technology Lahore, Pakistan with BSEE degree in1978 and with MSEE degree from Rochester Institute of Technology, Rochester New York in 1982. He has beenteaching at Cal Poly Pomona since 1986. His interest includes digital design, microprocessors, and programminglanguages. Proceedings of the 2009 American Society for Engineering Education Pacific Southwest Regional Conference
(“Two-Dimensional, Steady-State Conduction”) of Incropera et al.’s textbook4, while the transient problem was adopted from Chapter 5 (“Numerical Methods in Heat Conduction”) of Çengel’s textbook5. Proceedings of the 2009 American Society for Engineering Education Pacific Southwest Regional Conference 294 A long bar of rectangular cross-section (0.4 m × 0.6 m) with a thermal conductivity of k = 1.5 W/m · °C, is subjected to the following boundary conditions: two sides are maintained at 200°C, one side is insulated, and the remaining side is subjected to convection with the
veryfriendly and useful for better understanding of the basic terms used in random variables andprocesses.AcknowledgementThis work was supported in part by the CONACYT under Grant No. 91013. Proceedings of the 2009 American Society for Engineering Education Pacific Southwest Regional Conference 344References 1. Li, S. G. and Lie, Q. (2004). Interactive Groundwater (IGW): An Innovative Digital Laboratory for Groundwater Education and Research, Computer Applications in Engineering Education, 11(4), 179-203. 2. Jovanovic Dolecek, G. (1997). RANDEMO: Educational Software for Random Signal Analysis, Computer Applications in
experiment’s parameters and Components control points, such as motors, solenoids, heating Figure 1. Remote Lab Environment (RLE) Components element, switches, etc.• Data acquisition & control unit (DAQ): an interface between the sensors and actuators, other instrument devices and computer- server(s). This module’s chief functionality is to communicate the computer commands to actuators as well as communicate the data measurements to the computer.• Computer (microcontroller): this component basically runs the experiment software and goes through the experiment steps and interacts with the user via the DAQ and sensors/actuators. Many controllers are available in the market. The National
-patterned adhesives," IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, Page(s): 105 - 111, February 2006.9. P. Glass, M. Sitti, and R. Appasamy, "A New Biomimetic Adhesive for Therapeutic Capsule Endoscope Applications in the Gastrointestinal Tract," Gastrointestinal Endoscopy, Vol. 65, No. 5, Page AB 91, April 2007.10. B. Kim, S. Park, C. Jee and S. Yoon, "An Earthworm-Like Locomotive Mechanism for capsule endoscopes," IEEE/RSJ International Conference on Intelligent Robots and Systems, Page(s): 2997 - 3002, August 2005.11. R. Siegwart and I. Nourbakhsh, "Introduction to Autonomous Mobile Robots," The MIT Press, 2004
significant studies1,2 concerning senior engineering capstone experiences have beenconducted in North America since the 1990's. The study by Todd et al.1 was conducted in 1995and included a array of 360 responses from engineering departments. There are many interestingfindings in the report, including the small number of programs with interdepartmental seniordesign courses and that a significant number of capstone experiences were individual rather thanteam projects. The authors suggested two “areas of improvement in engineering education,”including and increased practice of teamwork and involving industry in order to give studentspreparation for “real-world engineering practice.” There is little doubt that this study impactedengineering programs to
described in more detail elsewhere.14AcknowledgementsThe authors are grateful for support provided by the Intel Faculty Fellowship Program and theNational Science Foundation’s Course, Curriculum and Laboratory Improvement Program,under Proof-of-Concept grant DUE-0442832 and Phase 2 grant DUE-0717905. Any opinions,findings, and conclusions or recommendations expressed in this material are those of the authorsand do not necessarily reflect the views of the National Science Foundation.References1. Dutson, A., Todd, R., Magleby, S. & Sorensen, C. (1997). A Review of Literature on Teaching Engineering Design Through Project-Oriented Capstone Courses. J. Eng. Ed., 86, 17-28.2. Koretsky, M.D., Amatore, D., Barnes, C., & Kimura, S
Following a Brief Exposure,” Journal of Natural Resources and Life Sciences Education, Vol. 36, pp.58-65.12. Eatkins, P. and Christopherson, G. (2000). “The Importance of Context in Work Placements: Cooperative Education and the Development of Graduate Attributes for a Global Work Force,” http://www.waceinc.org/pdf/Eakins_Christopherson_6_1.pdf. Retrieved June 11, 2007.13. Freestone, R., Williams, P., Thompson, S .and Trembath, K. (2007). “A Quantitative Approach to Assessment of Work-Based Learning Outcomes: An Urban Planning Application,” Higher Education Research and Development, Vol. 26, No. 4, pp. 347-361.14. Gardner, P. D. and Kozlowski, S. W. J (1993). Learning the Ropes! Co-ops Do It Faster, Collegiate
15.504.7communication which can be made online). 6Written Test Performance by Both GroupsTo analyze and compare the performance of the two groups, a test was conducted afterthe class but during the course. The test consisted of ten questions in total related tocourse materials and documents from Society of Manufacturing Engineers (SME). Thetest scores from both groups were tabulated and shown below: Table 1: Test results for students in group 1 and 2 Group 2 (Digital Group 1 Image/video) S. No For 10 S. No For 10 1 7
to such changes.The algal masses consume the dissolved oxygen for respiration leading to anoxic conditions inthe waters which in turn could result in massive fish kills and related organisms.4 The algalblooms are a strong indication of the overall health of a body of water in any region, and throughmonitoring the water quality of a specific ecosystem it becomes much easier to devise a waterquality management plan towards reversing or preventing the changes that are negativelyaffecting the region.5The monitoring of water quality using remote sensing was initiated in the 1970’s using earthresources technology satellite, later renamed Landsat1 (ERTS-1). Since then, the digitalevaluation of remotely sensed data has been widely used to estimate
faculty mightconsider for instructional improvement.References[1] Canary, H., & Jennings, M. (2008). Principles and influence in Codes of Ethics: A centering resonance analysis comparing pre- and post-Sarbanes-Oxley codes of ethics. Journal of Business Ethics , 80, 263-278.[2] Carley, K. (1997). Extracting team mental models through textual analysis. Journal of Organizational Behavior , 533-558.[3] Corman, S., Kuhn, T., McPhee, R., & Dooley, K. (2002). Studying complex discursive systems: Centering resonance analysis of communication. Human Communication Research , 28, 157-206.[4] Crawdad Technologies, L. (2005). Crawdad Text Analysis System version 1.2. Chandler, AZ.[5] Grosz, B., Weinstein, S., & Joshi, A. (1995). Centering
placementRequested equipment within the proposed experiment: This laboratory experiment projectfocuses on the optimal placement of the nodes. The optimal power setting of the transmitter issuch that the Receiver Signal Strength (RSS) at the receiver is greater than the sensitivity at thereceiver while the bit error rate (BER) is able to remain in a given range during the desiredlifetime of the network. This research laboratory project also deals with the optimal basestation(s) placement (with its unlimited power supply) situated centrally in such a way as toreduce the power consumed by nodes during communication of sensors data.Results: The software package for the optimal placement of the nodes that can be delivered withthe Received Signal Strength
role of problem representation in physics. In D. Gentner and A. L. Stevens (eds.), Mental models (pp. 75-98), Hillsdale, NJ: Erlbaum Associates.4. Larkin, J. H., McDermott, J., Simon, H. A., & Simon D. (1980). Models of competence in solving physics problems. Cognitive Science, 4, 317-345.5. Simon, H. A., & Simon, D. (1978). Individual differences in solving physics problems. In R. S. Siegler (ed.), Children’s thinking: What develops (pp. 325-348). Hillsdale, NJ: Erlbaum Associates.6. Gray, G. L., Costanzo, F., & Plesha, M. E. (2005). Problem solving in statics and dynamics: A proposal for a structured approach. Proceedings of the American Society for Engineering Education Annual Conference &
engineering programslook toward providing international education opportunities for their students.1 A. T. Conley, A. M. Crispo and M. Vang, "Malta Final Report," Pavlis Institute for Global Technological Leadership, Houghton, 2014.2 J. Allan, H. Carlson, S. Peterson and B. Martinez, "Ghana 2014 Project Report," Pavlis Institute for Global Technological Leadership, Houghton, 2014.3 E. Wachlin, L. Dawson, L. Harris and A. Kubicki, "Go Ghana 2013: Project Report," 2013.4 J. Allan, et. al.5 J. Allan, et. al.6 The Guardian, "Is India still a developing country?," Guardian News and Media Limited, 6 April 2014. [Online]. Available:http://www.theguardian.com/global-development/poverty-matters/2014/apr/07/is-india-still-a- developing
study will be conducted in the future by theauthor in order to capture multiple influential factors and investigate the effectiveness of remotelaboratories more profoundly.References1. Bal, M. Virtual manufacturing laboratory experiences for distance learning course in engineering technology. Paper session presented at the meeting of 2012 ASEE Annual Conference and Exposition, San Antonio, Texas, United States, June 2012.2. Fujita, J. S. T., Cassaniga, R. F., And Fernandez, F. J. R. Remote laboratory. In Proceedings of the 2003 IEEE International Symposium on Industrial Electronics. Rio. de Janeiro, Brazil. 1104–1106, 2003.3. Yoo, S. And Hovis, S. Technical symposium on computer science education. In Proceedings of the 35th
: Successful Collaborations to Improve High School Student Achievement” Accessed on 3/10/2014 from Los Angeles County Office of Education http://apep.gseis.ucla.edu/bestla/BEST-InsideSchlUnivPartnerships.pdf 7. Ing, M., Huang, P., LaCombe, N., Martinez-Lopez, Y., and Haberer, E. D., 2012, “Creating Opportunities for Reflection: Analyzing Middle School Student Work During a Service-Learning Course on Solar Cells”, International Journal for Service Learning in Engineering, Vol.7, No.1, Spring 2012 8. Bagiati, A., Yoon, S. Y., Evangelou, D., and Ngmabeki, I., 2010, “Engineering Curricula in Early Education: Describing the Landscape of Open Resources”, Journal of Early Childhood
build out the network and to betterunderstand the social stratification caused by the introduction of the technology.References[1] United Nations Millennium Development Goals. http://www.un.org/millenniumgoals/.[2] A. R. Mickelson, Q. Lv, L. Shang, and S. R. Sterling. “A 2009 NapoNet video”. http://www.youtube.com/watch?v=X7t71DDNOnY.[3] GTR|Grupo de Telecomunicaciones Rurales: Rural Telecommunications Group. http://gtr.telecom.pucp.edu.pe/.[4] Pontificia Universidad Catolica del Peru: The Catholic University of Peru. http://www.pucp.edu.pe/content/index.php.[5] Publicaciones|GTR: Publications. http://gtr.telecom.pucp.edu.pe/publicaciones.[6] R. Patra, S. Nedevschi, S. Surana, A. Sheth, L. Subramanian, E. Brewer. WiLDNet: Design and
Page 15.1309.5following work experiences and classes. The goal of the reflective discussion group was toassess students’ educational experiences to their overall professional formation9. This protocolfollowed a four step accidental competency discourse where students are asked to recall positiveor negative experiences which are then analyzed for learning outcomes10. The four step strategyconsists of the following four steps: Situation, Affect, Interpretation, and Decision (SAID). Thefirst step starts with providing prompts to the students to elicit the positive or negativeexperiences (Situation, S) and to get the students to elaborate on what actually happened. Thenext step was to ask the students how it affected (A) them personally. The
training” modules, whether they participated in aReflection exercise that emphasized ethics, etc. ) we can begin to identify the “best practices”that are linked to more positive outcomes.Bibliography 1. Ross, M., & Jones, E. (2002). Can team effectiveness be predicted? Team Performance Management, 14 (5), 248-268. 2. Bunderson, S., & Sutcliffe, K. M. (2002). Comparing alternative conceptualizations of functional diversity in management teams: process and performance effects. Academy of Management Journal, 45 (5), 875-893. 3. Gandara, D., May, J., & Gandhi, A. (2010). Cross-Functional Teamwork: Creating a measure for effectiveness. Paper presented at the 31st annual meeting of the Industrial
AC 2010-2357: INCORPORATING SOCIAL AND ETHICAL IMPLICATIONS OFNANOTECHNOLOGY IN SCIENCE, TECHNOLOGY AND SOCIETY (STS)COURSESAhmed Khan, DeVry University Dr. Ahmed S. Khan is a senior Professor in the EET dept., College of Engineering & Information Sciences, at DeVry University, Addison, Illinois. He received his M.Sc (applied physics) from University of Karachi, an MSEE from Michigan Technological University, an MBA from Keller Graduate School of Management., and his Ph.D. from Colorado State University. His research interests are in the areas of Fiber Optic Communications, Faculty Development, Outcomes Assessment, Application of Telecommunications Technologies in Distance Education, and Social
bicycle frame was chosen as the principal designed product for several reasons.The primary reason is that the frame is a highly evolved mechanical structure [3] for whichnumerous materials are used depending on the service requirements. The other reasons includeeasy access to bicycles, familiarity with the features and the enormous public interest in the fieldas evident from the internet search engines [e.g. 4]. Investigation of the reasons for the choice ofthe material(s) in each case and the processes suitable for making the frame out of them wouldprovide an exciting opportunity for mechanical engineering students to learn how to link productfunctional requirements with materials and processes in a rational manner.The CES 4.5 (Cambridge
Gender Equitable Curricula in High School Science and Engineering Stacy S. Klein1, 2, 3,4, Robert D. Sherwood, 4 1 Department of Biomedical Engineering, Vanderbilt University, Nashville, TN / 2University School, Nashville, TN / 3Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN / 4Department of Teaching and Learning, Vanderbilt University, Nashville, TNAbstractAs part of a Research Experiences for Teachers (RET) supplement to the VaNTH EngineeringResearch Center for Bioengineering Educational Technologies (www.vanth.org), aninterdisciplinary group of secondary teachers and college faculty have
record is considered a measure of success of REUsis external validation for the importance of communication skills for engineers. Nearly 50 yearsago, the founder of the IEEE Professional Communication Society called clear speech andwriting “…prime and necessary characteristics of the successful engineer.”7 More recently,ABET 2000’s Criterion 3 (g) stated that “Engineering programs must demonstrate that theirgraduates have:…an ability to communicate effectively.”8Unlike the wide-angle view of many of the papers on REUs, in which communications andlibrary activities often are mentioned in passing, this paper focuses in on how one relatively new
with a substantial technology advance, person, or company)Week two: Read entire book.Week three: Summarize the book in a single page (three paragraphs), which explain 1. What were the social and technical settings of the time ? 2. What was the particular technical challenge addressed, and why was it important ? 3. What was discovered/found, and how was it received by competitors, professionals (corporate management, etc), family, friends and society ?Week four: In nine-ten pages, respond to the following questions: 1. What technical challenge did s/he address
-year Associate Degree Electronic EngineeringTechnology (EET) or closely associated BMET programs. Some applicants have a militaryelectronics background. Only a handful of applicants come from the very few Bachelors Degreeprograms such as the program at East Tennessee State University. Why would someone enterthe Bachelors program in BMET when he or she could enter the BMET profession in half thetime and for significantly less costs? The answer is expanded professional and financialopportunities during his or her professional career.The Biomedical Engineering Occupation SpectrumThe success and future of academic programs in engineering technology are often related to theemployability of its graduates.1 The U. S. Department of Labor expects
engine.The fuel energy is calculated as mass flow rate (kg/s) times the lower heating value of diesel fuel(J/kg). The lower heating value for the No. 2 diesel fuel used in the tests is 42,550,560 [J/kg].The fuel mass flow rate is obtained by running the WAVE Engine model. The WAVE enginemodel also provides a good estimate for the heat for Gas-to-Metal that represents the heatrejected through the radiator.Brake power is defined as the power obtained from the engine after all the losses and can be Page 10.24.6calculated as the torque delivered to drive train (Nm) times the angular velocity of the flywheel Proceedings of the 2005 American Society