ideas of quantum information. We briefly introduce adensity matrix formalism as it is essential to quantum information and quantum computation.Besides our existing lab experiments on thin-film growing, STM analysis, NMR analysis, etc.,we have added three experiments from our new QIL: (1) Quantum random number generator, (2)Coincidence measurements of entangled photons, and (3) Quantum eraser using entangledphotons. Students usually find the entanglement–based quantum eraser to be the most striking.Advanced Quantum MechanicsAdvanced Quantum Mechanics is required for physics and engineering physics students but isnot required for general engineering students. However, we strongly recommend it to studentswho plan to work in the fields of materials
total of 15 weeks in the Simulation-Based Design course wasdevoted to teaching fundamental concepts of the FEM. The purpose of this was to help studentsgain a basic understanding of FEM theory and allow students to have a better understanding ofthe various settings in the FEA software.The basic concepts or a general procedure for FEM theory [18] can be summarized as followings:(1) The FEM is a numerical approximation technique for solving deformation of an object. In this technique, after the x, y and z components of the deformation: 𝑢𝑢(𝑥𝑥, 𝑦𝑦, 𝑧𝑧), 𝑣𝑣(𝑥𝑥, 𝑦𝑦, 𝑧𝑧) and w(𝑥𝑥, 𝑦𝑦, 𝑧𝑧) of an object are determined, stress/strain of the object can be calculated through applicationthe of Hooke’s law.(2) The object is
, and first and second laws of thermodynamics, in consideration of steady state and transient analysis Typically the first half-a-dozen chapters in widely used thermodynamics textbooks inmechanical engineering cover the following topics or some combination of these, many times inthis order although variations in the text or the delivery of these topics can be observed:(1) Introductory concepts(2) Properties of a pure substance(3) The first law of thermodynamics(4) Energy analysis for a control volume(5) The second law of thermodynamics(6) EntropyExamples of texts which utilize this general format include the Fundamentals ofThermodynamics text by Borgnakke and Sonntag [9], Thermodynamics: An EngineeringApproach by Cengel and Boles
of SCS to be represented (See Figure 3) in such a way that made the connectionloops or cycles more easily detected and the behavior of the variables better understood in termsof how they are impacted by multiple actors or interactions with other variables. The Vensim modelwas then further translated using the Microsoft Data software to generate a 3D model (See Figure4) that allows further manipulation or abstraction of the key system elements by allowing: 1) therotation of the model so it can be viewed from different angles and perspectives; 2) Color coding ofvarious groups of variables and actors to identify patterns; and 3) identification or ranking ofvariables based on number of connections, and the degrees of separation between each
school), as well as the schools in the urban clusters that are not the primarymetropolitan area within the state.Motivating Rural Expansion The invention process is a tight coupling of engineering design with entrepreneurialthinking. A good invention process considers the end users, the market, and the stakeholders; thisentrepreneurial thinking enables students to identify opportunities for innovation. Specifically,invention includes the act of problem finding. While most engineering programming asksstudents to define a problem, some version of a problem is generally given. Finding the rightproblem to tackle is an entrepreneurial endeavor that students do not often experience [5].Teaching problem finding has two major advantages: 1
PhD degrees in Electrical and Computer engineering from Northwestern University, Evanston, Illinois, in 1998 and 2000, respectively. He has served as an associate editor of the IEEE Transactions on CAD of Integrated Circuits and Systems, and as a guest coeditor of the ACM Transactions on Embedded Computing Systems Special Issue on Dynamically Adaptable Embedded Systems. He has served on the technical program committee of a number of IEEE/ACM sponsored conferences (e.g., Field Programmable Gate Array (FPGA), Field Programmable Logic (FPL), Design Automation Conference (DAC), International Conference on Computer-Aided Design (ICCAD), and Asia and South Pacific DAC). He served as the program chair of the FPGA’18. He
level of the course, the time constraints,and the available budget, at the beginning of the semester each team was provided an ArduinoUno based programmable controller that was fully tested and ready to use. The hardware of thecontrol unit (see Figure 1) consisted of an original Arduino Uno board or a compatible SparkFunRedBoard, an Adafruit motor/stepper/servo shield, an Adafruit 16-Channel 12-bit PWM servoshield, a SparkFun or an Arduino USB host shield, a Grove base shield, a Bluetooth 4.0 USBmodule, a Sony Dual Shock 3 PS3 controller, and 6V and 12V battery packs. The total cost ofthis hardware stack is approximately $250. Several class sessions were devoted to give a generaloverview of the hardware mentioned above, provide the knowledge
valuable insightsinto current campus information needs, and raise the level of library efficiency in collectiondevelopment and technical services processing.IntroductionThe development and maintenance of relevant library collections that support engineeringeducation and research experience many challenges. Foremost, the subscription costsof science, technology, engineering and medicine (STEM) journals and databases hadreached an unsustainable level, with the annual inflation rate being much higher than inother disciplines [1]. Moreover, the number of publications supporting traditionalengineering disciplines and new and/or interdisciplinary research is on the rise.Furthermore, the overall expansion of digital content availability lead to an
individual experiences and see ifwe could find common themes. We know that using such a small sample size can mean thatgeneralizations are difficult, but we also know that these individuals have an important story totell.This paper explores their stories that were collected through an interview process. We analyzedthe transcripts for themes and have used Yosso’s Community Cultural Wealth model to describethe findings.Theoretical FoundationsThe underrepresentation of students of color, women, first-generation and low-income studentsin engineering education is often framed in a way that positions the students lacking the skillsneeded to navigate these institutions. Tara Yosso [1] created the Community Cultural WealthModel to challenge the notions of
students to tacklethe RF engineering challenges of tomorrow – a Panel DiscussionAbstractThe trend is clear, technology innovations will increase at even faster rates in the future. Thishas been particularly true in communications as RF technology becomes ubiquitous in dailylife. The IoT explosion and 5G revolution are driving increased demand for RF engineers posinga challenge to how schools keep up with that demand, and best prepare the next generation of RFengineers.This session will be a panel discussion bringing together voices from multiple universitiessharing how they are each innovating their RF curriculum and helping prepare engineeringstudents ready to tackle tomorrow’s RF challenges. More specifically, we will learn about howthe
flip without the student dislike of it. The effective engagement and reachingmore students was supported by the above results. Moreover, a narration of one of our sessions isprovided in the Appendix A, which also demonstrates the active engagement. The final part ofthe hypothesis is supported by the students’ anonymous evaluation of the course at the end of thesemester for the experimental class. This was the tool that confirmed the successful resolution ofthe unpopularity of the flip. A few of the related rating and comments are provided in Table 1. Table 1: Student evaluation data of the experimental class Evaluation area Student rating Encouragement of
represents different attributes noticed in each group member during the groupdiscussion with professor.Figure 1: Initial Group Make-upStep III: Professor-Students Interactive SectionDuring step III, professor visited each group and asked questions from each group members on thetopic selected for discussion. During this session, every member’s in each group written documentwas assessed and each member was questioned by the professor. Professor assigned number toevery group member based on the way questions asked were answered. The assigned numberindicates the level at which each group member contributed and participated in the questioningsection. At this point, none of the students understood or were familiar with the professor intendedmethod. The
contributions. Theauthors also found that students were aware and skeptical about the fairness of the system. Ingeneral, although SPARK was a tool for assessment or to manage teamwork, the authors foundthat the process and tool needed revision for transparency, and to make it generically applicable[35]. The authors suggested that SPARK if integrated into a learning environment, couldimprove students’ learning of teamwork skills and reduce team problems [35]. Besides itsgeneral benefits of being able to rate the students’ contribution, SPARK relied on only threedirect aspects of teamwork 1) quality of work, 2) quantity of posting, and 3) effectiveness as ateam member on a scale of three where 1 showed no contribution and 2 showed above
Next Generation ScienceStandards resulted in education standards that included engineering design [42]; a number of statesare evolving efforts that will result in specific education practices and standards developed forcomputing [43]. That approach has resulted in changes in pre-teacher and teacher education acrossa number of states. Still, they correctly indicate that distinct STEM disciplines becomeincreasingly relevant at higher and higher levels of education as students progress through highschool to college with specific science topics such as biology, psychology, chemistry and physicsbecoming defined courses.Figure 1 STEM, non-STEM and business degrees for National Council on Education Statisticsclassifications using US National Science
strongly feel that diversity is an important issue, whichmay skew the results toward a population that is more knowledgeable about diversity than wemight expect. In addition, many faculty who did not bring up diversity on their own may alsofeel strongly about diversity, and simply didn’t think about it at the time of the interview.However, our position as investigators studying educational reform more broadly does provide asmall advantage - since we did not position ourselves as the “diversity police,” interviewees mayhave felt they could speak more freely about the inequalities they have encountered inengineering education. We ask two general questions about this data set: (1) Given the wide range of excludedgroups categorized under the
. Better evaluationrubrics will be developed and validated before using in the evaluation processes in practices. Theresults will be benchmarked for generalization [36].References 1. F.B.V. Benitti, “Exploring the educational potential of robotics in schools: A systematic review,” Computers & Education 58.3(2012):978-988. 2. M. J. Koehler and P. Mishra, “What is technological pedagogical content knowledge?” Contemporary Issues in Technology and Teacher Education 9.1(2009):60-70. 3. R. E. Ferdig, “Assessing technologies for teaching and learning: understanding the importance of technological pedagogical content knowledge,” British Journal of Educational Technology 37.5(2006):749-760. 4. P. Mishra, M. J. Koehler
’ with this statement from nearlyevery demographic at the start of the course (Figure 11). This statement also elicited the most‘strongly disagree’ responses of any question, by many demographics. By the end of the course,however, most demographics increased their support by 3% for adult environmental educationfunded by government agencies.DiscussionEnvironmental Knowledge The 3 general findings for knowledge surveys were (1) that students started atsignificantly different knowledge levels based on most demographics, (2) their knowledgeincreased across all demographics, and (3) that at the end of the course there were no longerstatistically significant differences in knowledge levels across nearly all demographics.Differences in initial
process [1]. Figure 1 provides arepresentation of conjecture mapping which defines the high level conjecture, embodiments,mediating processes and outcomes used to frame the design. When designing learningenvironments, the process begins with establishing a high level conjecture which outlines thekind of learning the design attempts to support. Embodiments generate the mediating processesthat produce the desired outcome. These embodiments could include tools, materials, tasks andparticipant structures, and discursive practices. A design may or may not include all theseelements. Mediating processes are required to produce outcomes; they utilize particular tools fora particular task in a learning environment enacted in certain ways to produce
creating a cultureof preparedness. Through efficient and effective preparedness, the CCR will serve as one of the leadingentities ensuring that Mississippians can recover quickly from incidents, especially those underservedpopulations. Moreover, the CCR will assist local Emergency Management specialists, educators, publicand private organizations and underserved communities with the ability to mitigate, prepare, respond,recover and more successfully bounce back from adverse weather-related events. This will beaccomplished by the following: 1) Community training and outreach (targeting the underserved communities and vulnerable populations) a. Collaborate with National Weather Service to provide general information on weather
, Borrego4 studied the careers ofengineering education researchers by focusing on reviewing job postings and conducting asurvey of engineering deans. Borrego summarizes her findings in her 2006 manuscript: The results suggest that engineering education program graduates will be competitive for a variety of staff and faculty positions in colleges and schools of engineering. However, availability of tenure track positions will be limited, as a Ph.D. in the discipline is generally required and very few Engineering Education departments currently exist.(4, p. 1)Borrego’s results can be considered a prediction of the today’s engineering education job market:jobs will be available, but tenure track positions will be
undivided attention to a certain classroom activity. Students atour university are given iPads as part of their overall educational experience, thus every studentwas afforded the opportunity to participate. The teacher brought extra fully-charged iPads toeach session to accommodate students who forgot their tablets or experienced technical issues.Table 1 depicts the participation summary for our study. The study logged 528 self-reportedchanges to learning dimensions across all blocks. On average, participating students logged 17.4assessments per session, at a rate of one update every 2.7 minutes. On average, participantslogged 32.4 comprehension updates, 33.4 motivation updates, and 39.8 interaction updates.Because it is impossible to
"Desirable Characteristics of DataRepositories for Federally Funded Research" [1], outlining a set of recommended features andqualities that are considered desirable for data repositories handling research data resulting fromfederally funded research. The document establishes a set of standards and guidelines to ensurethat data resulting from federally funded projects is preserved in repositories that effectivelymanage and disseminate it.On August 25, 2022, Dr. Alondra Nelson, then Acting Director of OSTP, issued a Memorandum[2] recommending that all federal agencies formulate new plans or update existing ones,outlining their approach to ensuring public access to peer-reviewed publications and the researchdata associated with federally funded
leadership roles must enroll for three credits, while all otherstudents enroll for two. We use the general rule of thumb that for every credit hour, we expectstudents are work around 2-3 hours per week.Enrollment in the program has consisted mainly of Aerospace Engineers, with approximately70-80% of the students enrolled from the Aerospace Engineering Department. This prevalencecan be attributed to two factors. Firstly, the program is administered by the AerospaceEngineering Department. Secondly, Aerospace Engineering students can allocate up to six creditstowards their technical elective, while other departments may not accept as many or any atall.The rest of the student makeup comprises Electrical, Computer, and Mechanical engineeringstudents. The
receiving high-quality mentoring duringour doctoral work, we ourselves did not receive the hidden curriculum we offer here, and weknow that doctoral programs in engineering and engineering education focus on training studentsto be independent researchers rather than to develop research agendas and manage researchgroups as faculty. We hope to support the next generation of faculty by offering practical adviceabout three aspects of earning tenure at a research institution that are rarely explicitly discussed:(1) developing and disseminating a compelling narrative about your work, (2) promoting theimpact of your work, (3) leading a research group, and (4) creating an internal and externalsupport team.We structured this paper to highlight both our
! , y(7) = 9 (b) (𝑡 − 3𝑦’ + 𝑦𝑙𝑛𝑡 = 𝑡 ! , y(1) = −4The three procedural questions are given below. There were two questions that dealt with linearfirst order equations. The other question asked students to use the Laplace transform to solve aninitial value problem whose forcing term included the unit impulse function.Linear Equation, Test 1: Solve the following initial value problem: 𝑡 " 𝑦’ + 4𝑡𝑦 = 𝑡 ! , y(1) = 3Linear Equation, Final Exam: Find the general solution to the differential equation: 1 𝑦’(𝑡) = 3𝑦(𝑡) = 𝑒
”, vol. 32, no. 2, Apr. 2008, doi: 10.1080/03098260701731215.[5] Brown HN. Mentoring new faculty. Nurse Educ. 1999 Jan-Feb;24(1):48-51. doi:10.1097/00006223-199901000-00014. PMID: 10335214.[6] T. D. Allen and L. T. Eby, “Mentor commitment in formal mentoring relationships,” JVocat Behav, vol. 72, no. 3, pp. 309–316, Jun. 2008, doi: 10.1016/J.JVB.2007.10.016.[7] A. E. Austin, “Preparing the Next Generation of Faculty: Graduate School as Socializationto the Academic Career,” The Journal of Higher Education, vol. 73, no. 1, pp. 94–122, 2002, doi:https://doi.org/10.1353/jhe.2002.0001.[8] M. Stojanović and P. A. Robinson, “Interculturality at a US university: Internationalfaculty’s experiences with intercultural communication,” Journal
, and STEM disciplines in general, in the last decade.In the context of university career services, experiential learning is commonly defined as thestudents’ opportunity to gain practical experience related to their major before they finish theircollege degree and usually includes cooperative education, internships, service learning andvolunter work5. No matter what approach is being used, the pedagogical value of experientiallearning relies on its ability to strengthen technical skills while nurturing soft skills, qualities, andunderstandings to be successful in diverse and multicultural working environments (Andrews &Higson, 2008). In particular, the NMSU Department of Industrial Engineering has been fosteringglobal and cultural
2Stanford Sierra Camp initial focus group discussionThe focus group discussion at the Stanford Sierra Camp (FGSSC) in October 2012 wasscheduled for 90 minutes after a 60 minute brainstorming session designed to discover topics ofinterest. Our FGSSC discussion group defined this goal: Focus on [defining] a framework around which the education of engineers in the knowledge, skills and attributes (KSAs) of innovative engineering can be designed, delivered and assessed.Participants in FGSSC are listed in Table 1. FGSSC participants also decided that our currentand future deliverables included: • A description of each innovative stage in the development of a new innovation and • Identification and definition of the unique KSAs
the top lessons learned by the Dual-Use Ferry student teams. Atthe end of the design effort, a design solution was provided to the customer. The customer wasvery pleased with the resulting effort and stated that future marketplace design efforts would bewelcomed and supported.AcknowledgmentsWe thank the Department of Defense for financial support of the capstone marketplace projectand for technical and logistical support in providing mentors and sponsors. We thank the mentorsand sponsors of the Dual-Use Ferry project for their generous support and guidance. Finally, wethank the students at Stevens Institute and UAH for their hard work on this challenging project.Bibliography 1. B. McGrath, S. Lowes, A. Squires and C. Jurado, SE Capstone
2 2 2 3 1 3 3 3Figure 2a. EcoNet graphical output of energy flows in a generic marine ecosystem [24] showing thesuperimposed Jorgensen and Svirezhev [15] weighting coefficient beta values. Page 23.925.5 300 0 3 2.7 23 2.7