States Coast Guard Academy. He received his Ph.D. from New Mexico State University, his M. S. and B.S. degrees at Rensselaer Poly- technic Institute, all in Electrical Engineering. He was previously an Associate Professor of Electrical and Computer Engineering at the University of Tennessee and was a Development Engineer at the Hewlett Packard Company. His areas of interest include laboratory development, antennas, wireless communica- tions, signal processing, and instrumentation. Page 26.116.1 c American Society for Engineering Education, 2015 A Successful “Applications
University Press, 2014).6. Clements, D. H. Curriculum research: Toward a framework for ‘Research-based Curricula’. J. Res. Math. Educ. 38, 35–70 (2007).7. Dym, C., Agogino, A., Eris, O., Frey, D. D. & Leifer, L. J. Engineering design thinking, teaching, and learning. J. Eng. Educ. 94, 103–120 (2005).8. Daly, S. R., Adams, R. S. & Bodner, G. M. What does it mean to design? A qualitative investigation of design professionals’ experiences. J. Eng. Educ. 101, 187–219 (2012).9. Bannan-Ritland, B. The Role of Design in Research: The Integrative Learning Design Framework. Educ. Res. Page
differentengineering disciplines to solve many important manufacturing automaton problems. As a finalproject, students are expected to model and simulate a work cell for the selected application andto perform the same with the physical robots in the lab. They will compare both outcomes forevaluation of the calculated results. Students submit a comprehensive engineering report todocument all requirements. Experiments and projects are designed and implemented in asequence that would allow the students to acquire a complete manufacturing automationexperience. This included on-line and off-line robot programming (uploading and downloadingprograms between robots controllers and simulation software), robot integration (addingperipherals to a robot(s) to create a
the student adaptability to the equipment and easiness to use it toproduce results 6, or to introduce hands-on approach to teach wireless sensor networks atundergraduate level 7. For sensor networks the Scatterweb’s MSB430 sensor platform waspreferred 7, 10. From computer engineering perspective, teaching embedded systems for wirelessnetworking was considered, with the use of the microcontrollers MSP430 from TexasInstruments and ARM7-TDMI-S from ARM 9. SDR platforms were also considered for radarapplications 11.While the volume of literature on the use of SDR in teaching and research is growing at a fastrate, there is very little coverage on the lab set-up that uses SDR to illustrate the specialcharacteristic of wireless communications
definition of mission engineering is the deliberate planning, analyzing,organizing, and integrating of current and emerging operational and system capabilities toachieve desired mission effects.Mission engineering applies the mission context to complicated and complex system(s) ofsystems [2]. Most current systems engineering practices do not fully address the uniquecharacteristics of mission engineering, addressing the end-to-end mission as the ‘system’ andextending further beyond data exchange between the individual systems for cross-cuttingfunctions, controls, and trades across the systems.Mission engineering differs from the established term of mission analysis in that the latter onlyaddresses examination of current operational and system
#1936through NSF/CNS grant. The views and conclusions contained herein are those of the authorsand should not be interpreted as necessarily representing the official policies, either expressed orimplied of NSF.References[1] Berman, M., Chase, J. S., Landweber, L., Nakao, A., Ott, M., Raychaudhuri, D., Ricci, R., and Seskar, I. (2014). GENI: A federated testbed for innovative network experiments. Computer Networks, 61:5–23.[2] Riga, N., Edwards, S., and Thomas, V. (2016). The Experimenter’s View of GENI, pages 349–379. In: McGeer R., Berman M., Elliott C., Ricci R. (eds) The GENI Book. Springer, Cham .[3] Thomas, V., Riga, N., Edwards, S., Fund, F., and Korakis, T. (2016). GENI in the classroom. In the GENI Book, pages 433–449. Springer.[4
: “[t]here has not been any official training or demonstration of laboratory protocols atthis point.” However, as time progressed, BEST Fellows increasingly agreed that their learning wasbeing adequately supported by their lab experience. For example, the same individual with thenegative experience in the second week reported that there was nothing that hindered his/herlearning in the sixth week. BEST Fellows also rated their experience in the Friday workshop positively. Moreover,Fellows were in agreement that working together during these workshops was helpful. Whenasked what aspects of the workshop promoted their learning, Fellows responded: “[s]haring outexperiences and open group discussions”, “[t]he readings and paired
of quality and source of received support for student wellbeing,” Student Success, vol. 10, no. 3, pp. 64–75, 2019, doi: 10.5204/ssj.v10i3.1407.[6] P. Pihkala, “Eco-anxiety, tradgedy, and hope: psychological and spiritual dimensions of climate change,” Zygon, vol. 53, no. 2, pp. 545–569, 2018, doi: 10.1111/zygo.12400.[7] S. Every-Palmer, S. Mcbride, H. Berry, and D. B. Menkes, “Climate change and psychiatry,” Aust. N. Z. J. Psychiatry, vol. 50, no. 1, pp. 16–18, 2016, doi: 10.1177/0004867415615946.[8] K. Usher, J. Durkin, and N. Bhullar, “Eco-anxiety: How thinking about climate change- related environmental decline is affecting our mental health,” Int. J. Ment. Health Nurs., vol. 28, no. 6, pp
expressed in this work are those of the author and do not necessarily representthose of the National Science Foundation.References[1] V. Hunt, S. Prince, S. Dixon-Fyle, and L. Yee, "Delivering through diversity," McKinsey & Company Report. Retrieved April, vol. 3, p. 2018, 2018.[2] ASEE, "Transforming Undergraduate Education in Engineering, Phase I: Synthesizing and Integration Industry Perspectives.," 2013.[3] J. L. Arminio et al., "Leadership experiences of students of color," NASPA journal, vol. 37, no. 3, pp. 496-510, 2000.[4] C. R. Romano, "A qualitative study of women student leaders," Journal of College Student Development, 1996.[5] A. Kezar and D. Moriarty, "Expanding our understanding of
12.895.5velocity, Ujet, of 1 m/s. Jet details: Jet Qjet = 3.33x10-5 m3/s H Ujet = 1 m/s Reynolds number = 6612 Measurement field (a) Flow field region under analysis. 0 0.1 m/s
Figure 6 – Air-X power output graph [13] The national oceanic and atmospheric administration (NOAA) collects andmonitors the wind speed every six minutes throughout the year in Money Point [2]. Inorder to properly analyze the wind speed, we determined the portion of the month windspeeds were above 3.2 meters per second (the lower speeds do not contribute any output)and the average of those speeds (see Table 2), we determined an average speed of 4.5m/soccurring 35% of the time (10.5 days/month). From Figure 1, an Air-X 400 Watt windturbine would generate 20 watts of instantaneous power with a 4.5 m/s wind, providingan average daily energy output of 168 watt-hr. YearMonth 2006
2 Male FemaleBasic digital systemsWomen with research experience background rated both Combinatorial Logic and SynchronousLogic marginally higher than those who did not except for women faculty who rated the topics lower. Page 11.664.9The results for males were the opposite, that is, research experience was associated with lower ratingsfor males (see Figure 5). F ig u re 5 : R e sp o n d e n ts w ith re se a rc h e x p e rie n c e : S y n ch ro n o u s L o g ic 2 .5
graduate a student is required tocomplete each aspect of the design process. Table 1 describes design components and projectassignments to be completed in a student’s junior or senior year. Each student must complete theindividual score card prior to the graduation. Page 23.397.4Table1. Individual Design Score Card (S: Senior, J: Junior) Design Components Year First Second Third Fourth Semester Semester Semester Semester Scoping I J Scoping II S Background Survey I J Background Survey
. Thispredictive modeling exercise was a useful experience for the undergraduate designers.Future work with the user interface will include presenting the thermodynamic properties,processes, and cycles in the form of P-v, T-v, and T-s diagrams. This will visually allowthe students to recognize works being performed, heats being transferred, and other vitalfunctions of the refrigeration system.5. Conclusions:The air conditioner laboratory system described in this paper is a simple, real lifeapplication for demonstrating basic thermodynamics processes and principles. The dataand GUI is accessible over the web, which allows the system to be used for at homelaboratory experiments and classroom demonstrations. It was fairly inexpensive, ascompared to $25,000
ScheduleMeeting Format Objective(s) SubjectNumber of class Addressed 1 Lecture 3, 7 Introduction to the Course; Introduction to LabVIEW, Loading software, Your First VIThe course begins by outlining the advantages and disadvantages of various levels ofprogramming languages are discussed beginning with assembly/machine language, to high-level languages, to graphical languages. LabVIEW is introduced, a simple VI is createdfor the class, then the advantages of the LabVIEW (graphical) language are discussed.The LabVIEW example is used to introduce its two windows: The Front Panel, which isthe human interface to controlling LabVIEW and the Diagram
, New Zealand. Itfaces challenges in attracting engineering students given the specialized nature of itsengineering offering (and poor student understanding of these specializations) and extremelystrong competition from New Zealand‟s two most established engineering universities, TheUniversity of Auckland and Canterbury University. Indeed, local secondary schoolengineering students have many decades of tradition of leaving the city, primarily forCanterbury in order to pursue their studies. This tradition is firmly in the mindset of parents,secondary school teachers and careers advisors.To help retain engineering students in the Wellington region, a partnership has been formedbetween VUW and the Wellington Institute of Technology (WelTec), the
, in2000’s decade, Massachusetts Institute of Technology (MIT) has developed a program tomotivate female high school students to pursue engineering [28]. However, these programs,although achieving relative success, involved students with a pre-existing interest in engineering-related careers. Also, these programs contained a very low part of female population of highschool in the U.S. [28].Similarly, the governments of other countries have recognized the importance of increasinginterest in the field of engineering and have developed policies to motivate women to work in thefield. For example, in March 2002, the Norwegian government passed legislation requiring that40 percent of the executive board of director members should be women by the year
Setra pressure transducers. All flow loops wereconstructed using 2” PVC with the ability to connect pressure transducers and flow meters toLabview modules or multimeters. This setup is capable of producing stable volumetric flow ratesbetween 5-130 GPM with a maximum pressure of 45 PSI.The external flow equipment was primarily composed of an Engineering Laboratory Designwind tunnel with a working test section of 0.3x0.3x0.6m and a maximum linear free streamvelocity of approximately 7.2 m/s. For the purpose of the external flow experiment a cylinderwith a pressure tap on one face was mounted to a rotating damper actuator and allowed to rotatearound its axis. This allowed the pressure at any point along the surface of the cylinder to bemeasured
development of achat-bot built on student’s questions and understandings and perceptions of course contentprovides the instructor with a unique look onto the minds of students. With the oversight anddirection of the instructor and with the aid of students a true content specific engineeringartificial intelligence may be created. Through this process we may better understand thecomplex learning process of our students. Page 15.181.12Bibliography1. S. Crown, "Using Web-Based Games to Enhance the Teaching of Engineering Graphics" Proceedings of theIASTED International Conference, Computers and Advanced Technology in Education. Philadelphia, PA. May1999
manyinstitutions that have benefited from The Whitaker Foundation’s industrial internshipprogram in biomedical engineering. This combination of internship opportunities forstudents offers a rich source of data for assessment of six of the BME program’soutcomes: 1.a, 1.e, 2.a, 2.b, 2.d, and 3.c.The relevant objectives (numbers) and associated outcomes (letters) that can be assessedwith data from student internships are given below. The numbers and letters inparentheses refer to ABET outcomes 3a-3k.1. To educate students to be successful in Biomedical Engineering by emphasizing engineering and biology as related to basic medical sciences and human health. After completing the B. S. in Biomedical Engineering, graduates will be
. R., & Lee, H. S. (2010). Measuring engineering design self-efficacy. Journal of Engineering Education, 99(1), 71-79.6 Zoltowski, C. B., Oakes, W. C., & Cardella, M. E. (2012). Students’ ways of experiencing human-centered design. Journal of Engineering Education, 101(1), 28-59.7 Charyton, C. et al. (2011). Assessing creativity specific to engineering with the revised creative engineering design assessment. Journal of Engineering Education, 100(4), 778-799.8 Schilling, W. W. (2012). Effective assessment of engineering design in an exam environment. Proceedings from the 2012 ASEE Conference.9 Sobek, D. K. (2002). Preliminary Findings from Coding Student Design Journals. Proceedings from the 2002 ASEE Conference.10 Nesbit, S
these patterns into four dimensions, with twopossibilities in each dimension. Table 1 summarizes the four dimensions and provides someconcrete examples of how they manifest in learning preferences.Over the past several decades, many studies have shown that some MBTI types tend to strugglein or drop out of engineering programs more than others. These findings are most oftenexplained by mismatches between traditional teaching styles and the learning preferences ofmany of our students. In general, traditional engineering education is biased towards Introversion(I) over Extraversion (E), Intuition (N) over Sensing (S), Thinking (T) more than Feeling (F),and Judgment (J) over Perception (P).4,6,9 The S-N dimension is particularly influential
e S ys te m fo r E v a lu a tio n o f E d u c a tio n (S E E D ) A ssist in a ccre d ita tio n stra te gie s S ys t em for t h e D e p ts. E v a lu a t io n o f E d u ca t ion SEED R e p o s ito r y o f as s e ss m e n t s trat e gie s & to o ls C o o rd in a t e p r o
catalogue theseinstruments and methodologies used to assess and evaluate current and past E-teams,entrepreneurial programs and courses, the University of Pittsburgh in association with NCIIA isconducting an extensive survey of NCIIA funded projects. Principal investigators (PI) were askedabout their current assessment/evaluation practices, their future assessment needs, themethods/instruments they have employed, etc. Each PI was asked to submit copies of assessmentinstrument(s)/method(s) so that they could be accurately catalogued in the database. Anextensive literature and web-site review was also conducted to identify and classify otherassessment tools that might be useful to NCIIA participants.From the results of the survey, a web-based
function model was developed. 0.71 ⋅ e −0.58⋅s G p ( s) = 4 ⋅ s +1 Page 25.388.5It is a typical first order plus dead-time process model.Proportional-Integral (PI) Controller TuningOnce the process model was developed, tuning parameters were calculated using a number ofmethods1 and the system performance was evaluated as shown in Fig. 6. This figure shows theresponse of the control system when a temperature setpoint change of 10F was
educating future professionals with engineering principles integrated with practical experience. Twelve programs in the United States offer four-year bachelor degrees in general Engineering Technology (1). General Engineering Technology degree programs offer an interdisciplinary platform. In addition, many discipline specific engineering technology degrees are offered at the bachelor‟s level. For example, ninety-four ABET accredited programs offer bachelor degrees in Electrical Engineering Technology in the U.S.A. Similarly, sixty-six and six ABET accredited bachelor degree programs are offered in Mechanical Engineering Technology and Industrial Engineering Technology in the United States, respectively (1). A graduate program in
% Page 25.190.8Figure 1 “Did you use the workshop information and ideas in your course(s)?” How were workshop ideas and information used? Faculty who said they used workshop ideas andinformation were asked to indicate how. The response frequencies varied by workshop type and arelisted in Table 4. The conference workshop attendees reported adding new classroom activities(19 responses) and sharing workshop information/ideas with colleagues (11 responses) mostfrequently. Many participants also said they expected to use other ideas from these workshops intheir future teaching (18 responses). The curriculum design workshop was designed to help withcourse and program
to determine the oral presentation grade. Near the completion of the course, the attributes and characteristics sheets originally prepared and submitted by each student, but now including all of the comments from their group members evaluating the student‟s performance as PM, are complied and given back to the students. Therefore, at the conclusion of the course, students have a clear record of their individual performance as PMs as measured against their own initial list of the attributes and characteristics of a ‘good’ PM. This seems to be an extremely effective summary document as part of this approach to introducing, stressing and measuring project management performance.Student Reflections
Total 248 (64%) 138 (36%) 386Figure 2 shows the population breakdown by major. Students could report multiple majors, thusthe total count here is greater than our population total. 70 60 50 Number of Students 40 30 20 10 0 om e Ch cal al r S er
schedulers3,4,5,6,7,8,19,21,22,23,26,41,42, and finally (level 4)the product release generator22. The long-range objective of this research is to assist FABManagers in maintaining a stable FAB with maximum utilization of resources and withminimum inventory in an acceptable time frame.Our research was based on past and existing multidisciplinary ASU/Intel team(s) andASU/Motorola team(s) organized through the SSERC working on operational methods forsemiconductor manufacturing. The ASU/Intel team(s) have been working on an Intel providedabstract problem of the FAB process and the ASU/Motorola team(s) have been working inseveral FABs solving multiple scale problems from the atomistic scale of Chemical VaporDeposition (CVD)2,44 to machine level controllers in diffusion and to