over 140 articles, chapters in textbooks, and technical reports, many in the area of process planning and improvement, and has been an invited speaker or panelist at numerous technical symposia. He is co-author of the textbook Applied Integer Programming, published by Wiley in 2010. From 1979-84, Bob was a senior operations research analyst with Lockheed Corporation. At Lockheed, he worked in conceptual and preliminary design of aircraft and missiles, performing mission effectiveness, cost, and risk analysis. He received a Ph.D. in Mathematics and an M.S.I.E. from Alabama in 1979, and a B.S. in Mathematics/Physics from Alabama in 1972. Since 1996, Bob has been a Registered Professional Engineer in quality
testing and coverage metrics 2.1. Unit tests in Visual Studio 2.2. Code coverage metrics 2.3. Test automation 3. Support for automated user interface tests 3.1. Simple tests 3.2. Data-driven tests 3.3. Web and desktop application tests 4. Introduction to Team Foundation Server (TFS) 4.1. Features of TFS 4.2. Installation of TFS 4.3. Backup creation and recovery 4.4. Version control 4.5. Reports 5. Introduction to Microsoft Test Manager 5.1. Creating a Test Plan 5.2. Executing the tests 5.3. Managing the environments 6. Performance Tests in Microsoft Test Manager 6.1. Lab Center’s features and functionalities 6.2. Recommended architecture and environment
partners to integrate manyof these activities in order to provide more professional practice skills beyond traditionalengineering education to our students. We believe our recent success in fostering sustainedindustrial partnership is the direct result of the following practices: Proactive recruitment: selecting partners who have long-term interest to affiliate with the program and replacing inactive members through normal attrition. Relevant engagement: involving partners with activities that have potential impacts on the program and providing them with a well-planned agenda so they feel full engaged and take ownership of the affiliation. Steady leadership: selecting and retaining strong leaders who understand
technician career. Introductory programs in various STEM middle schools have a smoothtransition to Career and Technical Education or Career Academies in high schools. The high school program inAutomation and Production Technology (APT) provides viable entry path to the college and career pipeline for theadvanced manufacturing industry. This program plus related adult vocational programs are both aligned with theManufacturing Skill Standards Council, Certified Production Technician (MSSC-CPT). This articulation of nationalcertifications into college coursework is now known as “the Florida Plan,” with MSSC as the first, 2007, andexample adopted articulated certification in Florida. The APT (with embedded MSSC) program is available forimplementation by
students gave a total of 277 responses or anaverage of 8.15 items per student. The number of student responses ran from 1 to 17 per student.The topics were selected from a low frequency of once to a high of 12 times with an average of2.50 selections per topic.If the authors were to analyze the technology and society course on their own based on thetextbooks and course content, they probably would not have done as thorough a job of selectingcontent items or topics as the 34 students did. The instructor in the course attempts to present thecourse in a conscientious manner, but the intent is not to spend the entire semester teachingethics. The course detailed plan includes many topics such as: 1. The Natural World 2. Application of
faculty input, the scope and objective of their seniordesign project will be defined. This process also gives the students a sense of ownership of theproject.All senior design teams in the BME program present their project proposal in early October. Theresearch team is expected to already have a detailed experimental plan by then. They should alsohave completed basic lab skill training. The team will use the remaining one and half monthbefore the semester end to work on experimental setup and conduct pilot tests. It is important forthe faculty to make sure that the students start with small-scale pilot runs for each new study.These pilot runs save resources and time, and provide valuable guidance to improve theexperimental design. The student
realities. Come and play.”Organic Growth Across CampusInnovation Sandbox was prototyped during the 2012-2013 academic year. The development ofthis program is a mirror of the innovation process itself -- much of the development was organicand focused on the evolving needs of the constituents. A NCIIA Planning Grant2 served as thecatalyst for this effort; this grant was leveraged into a targeted donation from an alumnus, andsupplemented by an additional match from the College of Engineering through an industrialpartner. In addition, the Center for Innovation & Entrepreneurship contributed significant timethrough leadership and technical support to enable this as a university-wide program.The early supporters of the program concept in the College
was the first implementation, despite significant planning during the summer, it wasdifficult to align all aspects of the four courses. There was significant, real time trial and errorduring the first implementation. Now that we have taught the sequence once, we can improve thesequencing and alignment of the different assignments.In addition, students reported feeling burnt out at the end of the sequence. Part of the cause canbe addressed by the sequencing of content and assignments during the term. In the firstimplementation, the latter part of the quarter had too many simultaneous assignments. A moredifficult challenge is programmatic. Taking four core engineering courses at one time is a veryheavy load. Most of our students were taking a
with an optimization decision. The TSP is a fundamental combinatorialoptimization problem with numerous applications in OR. It can be described as the problem offinding a minimum total distance of visiting n cities, starting and ending in the same city andvisiting the other cities exactly once (Rego et al.)[10]. The classic KP consists of a set of itemswhose values and weights are deterministic; the objective is to find a subset of items to put in theknapsack in order to maximize the total values without incurring overflow (Chen and Ross)[11].An interesting dilemma arose regarding strategy. Students could select the travel route tomaximize rewards and design the seats according to the planned destinations and thecharacteristics of the
they suggested. The sponsors identifiedand contacted the appropriate level representative, and worked out the plan and logistics for theIntrapreneurship Study Team visit. Alumni and development groups at the colleges wereengaged and kept informed as appropriate. Once all the individual company representatives wereidentified, a formal charter was developed for this group that was named the Industry Team(called IT). The Intrapreneurship Study Team leader, Leo Hanifin, made personal contacts toeach for a kick off meeting to lay out the reason for the study, and the engagement of eachcorporation in the Intrapreneurship Study Team visits. The critical elements of thecollaborative process to engage industry were thus: 1. Choosing a cross
in this paper serve as alighthearted yet engaging introduction to soil behavior and material property evaluation. Weplan to continue using these props in the future to help students develop a sense of proportion.Developing this sense of proportion and understanding the fundamentals of material propertyevaluation are essential for aspiring civil and geotechnical engineers.During future geotechnical laboratories, we plan to introduce a bonus laboratory activity wherestudents design their own experiments while thinking of their own food analogies. Our goal is tocontinue to expand our database of food test results. We encourage other geotechnicalinstructors to do the same, and we look forward to the sharing of results. Who will find the foodwith
., Legislative Law and Process in a Nutshell. 2nd ed. St. Paul, MN: West Publishing, 1986.Filson, L., The Legislative Drafter's Desk Reference. Congressional Quarterly, Inc., Washington, D.C. 1992.Gross, B. The Legislative Struggle. New York, NY: McGraw-Hill, 1953.Overview of Systems Engineering: http://www.sie.arizona.edu/sysengr/whatis/whatis.html.Juran, J., Juran on Planning for Quality. New York, NY: The Free Press, 1988.Crosby, P., Quality is Free. McGraw-Hill. New York. 1979.Schrunk, D., The Quality Approach to the Science of Laws. Presented at 16th Annual International Deming Research Seminar, New York, February, 2010.Quality of Laws web site: www.qualityoflaws.com.Onishi, A., Futures of global interdependence (FUGI) global modeling system
required to complete a team-based, year-long, externally sponsored capstone project. The student teams work under thesupervision of a liaison engineer from the sponsoring company, a faculty adviser and a designcoordinator (i.e., a course instructor). Team size typically ranges from three to five students, withan optimum team size of four.Student teams visit the site, learn the details of the project and prepare a written proposal for theclient in fall quarter. The proposal describes the scope of work, plan of implementation for therest of the academic year with detailed tasks, deliverables and milestones. Teams work on theproject in winter and spring quarters. The project culminates with a final report summarizing theteam’s work, calculations
during Page 26.1079.4their first semester of their engineering programs. Female engineering students have higherrepresentation in this study than their average representation in undergraduate engineeringprograms. To date, we have had a much greater number of female students express interest inand qualify for participation in the study as compared to males. Also, as can be seen in the table,the majority of the students who participate identify as ethnically White. As recruitment for the study continues, the research teams 12 plans
experiential learning modules in the domains of circuits analysis, biosignals andsystems analysis, and experimental design in collaboration between the BME Department ofNorthwestern University and ECE Department of University of Florida. Future plans includeassessing whether students who have benefitted from the flipped classroom continue to besuccessful in further courses in the curriculum.References1. Sheppard, S.D., et al., Studying the Career Pathways of Engineers, in Cambridge Handbook of Engineering Education Research, A. Johri and B.M. Olds, Editors. 2014, Cambridge University Press: New York, NY, Page 26.1087.11
, physical keys (e.g., smart cards andsmart card readers), the supporting server infrastructure, and the related locking mechanismsthemselves (e.g., magnetic or electromechanical locks). With careful planning, design, testing,and deployment, the advantage can be tilted back in favor of active defenders so long as theyare willing to consider the security of the system as a whole and not only its parts.REFERENCES 1. Das, S., and Beaman, J. Direct selective laser sintering of metals, January 2004. 2. Hull, C. Apparatus for production of three-dimensional objects by stereolithography, March 1986. 3. Laxton, B., Wang, K., and Savage, S. Reconsidering physical key secrecy: Teleduplication via optical decoding. 4. TOOOL. Assa twin
Machine Design class taken in fall 2013. Alexis’s contribution to the Twisted Sister Project was the concept and design of the articulating center drum, as well as the rear body frame design. These components enabled the robotic rover to climb over non-uniform obstacles that existed in its drive path while retaining traction on at least three out of the four wheels during motion. Outside of school he works seasonally at a private tax office in his local town in Long Island. His experi- ence both in and out of school has furthered his innate abilities to plan, organize and lead design projects to proliferate his experience with mechatronic design. Alexis continues his desire for mechatronic design as he is currently
Paper ID #11339Measuring Engineering Students’ Ability to Thrive in Diverse and Global En-vironmentsDr. Joyce B. Main, Purdue University, West Lafayette Joyce B. Main is an Assistant Professor in the School of Engineering Education at Purdue University. She holds a Ph.D. in Learning, Teaching, and Social Policy from Cornell University, and an Ed.M. in Administration, Planning, and Social Policy from the Harvard Graduate School of Education.Matilde L. Sanchez-Pena, Purdue University Matilde Sanchez-Pena is a first year PhD student in the Engineering Education program at Purdue Uni- versity. Her research interests are global
causes of the problem, when taking intoaccount the many different perspectives of all the process stakeholders. People Methods Measurement (Lack of (Weak root (Lack of control experience) cause) plan) Ineffective corrective action (Problem) Machines Materials (Missing Environment (Lack of Information, Multiple (Absence of analytical formats) quality) equipment
about which students are shifting and where are they going? Are these the samestudents that come in undeclared? A follow-up study in the 2015-2016 school year is planned tofurther explore these issues.References 1. Orr, M. K., Brawner, C. E., Lord, S. M., Ohland, M. W., Layton, R. A., & Long, R. A. (2012, October). Engineering Matriculation Paths: Outcomes of Direct Matriculation, First-Year Engineering, and Post- General Education Models. In Frontiers in Education Conference (FIE), 2012 (pp. 1-5). 2. Besterfield‐Sacre, M., Atman, C. J., & Shuman, L. J. (1997). Characteristics of freshman engineering students: Models for determining student attrition in engineering. Journal of Engineering Education, 86(2
, establishing reliability is a very procedure dependent process and the studiesthat reported low reliability conducted their reliability training in a decentralized manner. 2,3 Thismethod is not conducive to establishing agreement between raters by impeding the discussion and Page 26.1176.6debate that is associated with a typical norming and calibration process. Those with higherreliability conducted their reliability training in a local environment that promotes interaction,discussion and debate between raters, leading to increased agreement and enhanced measures ofreliability. This stresses the importance of having a well-planned, well-supported
,”There’s Plenty of Room at the Bottom”, Engineering and Science, 23(5): 22-36, 1960. 4. Mongillo, John, “Nanotechnology 101”, Greenwood Press, 2007. Page 26.1183.13 5. Roco, Mihail C. , Chad A. Mirkin, and Mark C. Hersam, “Nanotechnology Research Directions for Societal Needs in 2020: Summary of International Study”, Springer, 2011.6. Greenberg, A. “Integrating Nanoscience into the Classroom: Perspectives on Nanoscience Education Projects”, ACS Nano, Vol.3, No. 4, 2009, pp. 762-769.7. The National Nanotechnology Initiative – Strategic Plan, December 2007.8. Veety, E., et al., “Multidisciplinary Undergraduate Minor
virtual objects and omnidirectional treadmills enable unrestrictednavigation through a virtual environment by natural walking movements. Other tools as 3-dimensional joysticks or sensor-enhanced clothes may come into play. To evaluateperspectives and potential for the use of mixed reality settings within engineering educationan empirical study was carried out, focusing on the impact of spatial presence and flow oncognitive processes. Therefore an experimental research design was chosen. A mixed realitysimulator (Virtual Theater) was used which combines two natural user interfaces: a headmounted display (HMD) and an omnidirectional treadmill. To assess the effects of naturaluser interfaces on cognitive processes, a two-group-plan (treatment and
☐ ☐ ☐ ☐ ☐ ☐ Know how to prepare an effective presentation ☐ ☐ ☐ ☐ ☐ ☐ Maintain eye contact during a conversation ☐ ☐ ☐ ☐ ☐ ☐ Represent a colleagues’ position when they are not present ☐ ☐ ☐ ☐ ☐ ☐ Demonstrate a successful event they have planned ☐ ☐ ☐ ☐ ☐ ☐ Influence others ☐ ☐ ☐ ☐ ☐ ☐ Go above and beyond what is asked
that influencepartially-distributed teams. While numerous studies have identified contributors to the outcomesof virtual teams in general, the impact of the degree of virtuality specifically remains an openarea with little previous research which is what the authors are going to focus on building aframework to address.Research ObjectivesThe primary goal of this research study is to form a framework which will enable theincorporation of experiencing working on virtual teams in engineering. In order to do this theauthors have to understand the impact of changes in degree of virtuality on student engineeringteam learning outcomes. For this purpose, there will be five basic hypotheses to be tested as partof the research plan. In Hypothesis 1, the
operators and phone carriers (DSL), and 3) campus connections that isprovided to students by universities. As expected, mobile data and home broadband had similartotal time results. These type of connections can vary due to network congestion and plan levelOn the other hand, university provide connections generally have faster response times andhigher capacity which enable campus operations to be about 10% faster. In all cases, the actualcalculation time would be nearly identical since all HPC nodes are the same. Table 6.2: Total Time for Solution (Network and Calculations) Total Phone Tablet Tablet Nodes Mobile Data Home Broadband
, have similar results. This allows us to increase our data set and tounderstand if these methods are more generally applicable to a range of courses and under whatconditions. Our second direction, which we have learned might be the most important part of thiswork, is how should the criterion map be created? Even though our results seem to show positiveresults, we suspect that the criterion map is fundamental in this process. For example, if the termsin a field are highly connected (larger degree) then does this make it easier or harder for a student.Also, how does the timing of when the terms are presented in the course impact the longitudinalstudy. Our plan is to use this new metric in these studies and to try and answer these questions forthe
,” future plans include: Continuation of the STEM camp as a STEAM Camp Continued effort to improve the efficacy of our assessment process o Use of past data to establish a database to aid in iterative improvements Better understand how the introduction of “Arts” into STEM improves learning outcomes and/or general framework of the education modules Establish a website where our developed education modules will be made available to others Integrate the support of K-12 teachers into the program with the intent to inform/collaborate on how to improve the efficacy of the delivery and messages presented through STEAM Camp informal environmental education program o Although
from public safety tosupporting environmental research.ACUASI’s recently expanded education mission has funded a new, joint faculty position at UAF’sGeophysical Institute (GI) and the College of Engineering and Mines (CEM) to teach UAS technology.The first classes took place during UAF’s winter 2014 term; going forward, a foundation for UASeducation and training has been established, and UAF has just approved plans for an undergraduateaerospace engineering minor beginning fall 2015. Faculty hired specifically for the center’s STEMprogram are an integral part of the university’s UAS technology courses. Page 26.1613.2Leveraging strong
was always taught to go above and beyond and challenge accepted thinking.” Participant 24) Research experiencesFor many students their research experiences in various environments helped them develop as aresearcher. These experiences allowed them to develop a range of laboratory skills, workindependently on projects, and gain a first-hand idea of what research is like. “My internship at [Company X] that helped me understand that I liked laboratory work on the industrial scale.” Participant 31 “Working in a laboratory at a Singaporean university for a summer, in which I was generally left to my own devices, allowing me to plan my own activities and learned to be self-motivated, along with becoming