-. It will provide the amplitudesof the frequencycomponentsof the signal, the fundamental ,_ frequencyand.ite harmonica.In the case of non-periodicsignals, we can ap_‘ .~ : .-&&cit&j jjlourier_.Integral. j&Q& it&* so-&n && &e fFequnncy :. ~:~e&3 con@>hesignal,.thistransformdoesnotprovideinf~ c tion on the tim&equency relationsin the s@aL The Fhrier ‘Ikansform does not provideinformationthat would let us associatecertainevents (e.g. abrupt changes,long term behaviorof a s&al) with certain points of time. , TlG3 presentationc811providea
. Page 2.384.5 Composition of Combustion Products ( mc=.8g/s ) 16 14 Composition ( % ) 12 10 %O2 8 %CO2 %CO 6 4 2 0 0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2
AC 2010-247: SCHOLARLY CREATIVE ENGINEERING DESIGN?Robert Fleisig, McMaster UniversityHarry Mahler, Ontario College of Art and Design Page 15.1052.1© American Society for Engineering Education, 2010 Scholarly Creative Engineering DesignAbstractMcMaster University has initiated a new Master of Engineering Design degree inengineering practice aimed at educating tomorrow s leaders in engineering designGraduates of engineering schools are well versed in first-principles approaches totechnology application and must acquire new skills and competencies in innovation anddesign in order to become global leaders in their field. The leading thinkers in engineeringdesign must be
address this, a comprehensive interview protocol wasdeveloped and refined using Clancy et al.’s Interview Protocol Development Process [1] andCastillo-Montoya’s Interview Protocol Refinement Framework [2]. The protocol was refinedthrough feedback and pilot testing, ensuring alignment with research objectives andconversational flow. This paper focuses on the development of the interview protocol. Theongoing study, with data collection planned for Fall 2024 and Spring 2025, aims to provideinsights into student perceptions of Statics and the impact of student preconceptions on theirexperiences, offering guidance for future educational research.KeywordsStatics, undergraduate, preconceptions, interview protocol, undergraduate student
. frequencies. Their main disadvantage is increased area, which The basic concept of the experiment is to compare the is approximately 1.5 – 2 times as much as an equivalentability of two microprocessors, one asynchronous and one synchronous design when using static CMOS gates, but lesssynchronous, to play a song while put under stresses. The song for semi-static CMOS gates. However, for large designs, suchallows observers to detect the speed of the program execution as SoCs, the processor core(s) normally require(s) less than ½and note when the microprocessor fails. This method provides of the chip’s total area, while the rest of the chip area consistsan easily observed, direct response from the
-world andmore interesting to students, it was proposed to use model cars in wind tunnel in additionto the basic shapes. Three automobile models were selected: Ford Model T, Chevrolet ElCamino, and 1970’s Porsche. The models represent three distinct levels of stream lining. Agroup of senior students in the capstone Machine Design class was assigned to developCAD models as well as scale model prototypes of these cars. Using the CAD model and athree-dimensional printer, physical scale models of the three autos were produced. Amounting technique was designed to secure the models in the wind tunnel. Flowsimulation in Computational Fluid Dynamics (CFD) environment was employed to predictthe Drag coefficient of each model. The predicted values fell
parallel concepts but perhaps with a slightlydifferent vocabulary (and spin). Adam Smith (1723-1790), the noted Scots philosopher left anexcellent trove of ideas relating to wealth creation and the societal importance of engineeringmethodologies for contributing to the quality of life. Jeremy Bentham (1748-1832),1 a notedprecursor of socialist ideas under the banner of “Utilitarianism” followed with an objective oftenexpressed as the axiom “It is the greatest happiness of the greatest number that is the measure ofright and wrong” In 1784 Samuel Gregg (1758-1834) opened Europe‟s largest cotton mill atStyal, near Manchester. David Dale (1739-1806) ultimately assisted by Robert Owen (1771-1858) followed in 1786 with a huge mill at New Lanark in
the World (STW) as part of their general education requirement.Beyond increasing their technical literacy, the STW course intends to help studentsrecognize how science and technology (S&T) relate to other parts of culture, preparingthem to reflect critically on the nature and scope of S&T, and develop a personalperspective of their own. The case study in this innovative teaching approach, isintended not only to facilitate stated course objectives, but to encourage students to studyother cultures on their own, where they may plan to travel, or have already visited, to seewhat role technology has played. In so doing, they may find nuanced instances of thedigital divide worldwide, and issues that may either realistically complicate or
simulated an oil to water heat exchanger. Hotdifferent temperatures marked with different colors in Fig. 1 oil at 330K enters hot channel with an inlet velocity of 0.04enter numerous channels in separate layers. Each channel is m/s. Cold water at 300K enters cold channel with an inletformed by thin folded plates and separation plates between velocity of 0.005 m/s. The channels have a dimension of 2 cmcold and hot fluids. The thickness of the plates is t and the × 2 cm × 50 cm. Channel wall thickness is 2 mm. Table Ichannels have a square shape with a size w and length L. A unit listed the important parameters used in this simulation. Thecell consists of a
Mentoring in Promoting Student Success and Retention." International Journal of Human and Society (IJHS) 4, no. 1 pp. 110-123, 2024. [3]. Chandrasekera, T., Hosseini, Z., Jayadas, A. and Boorady, L.M., PeTe (Peer Teaching) Mentors: How near peer mentoring (NPM) affects academic success and retention in design education. Innovative Higher Education, 49(5), pp.975-991, 2024. [4]. Gehreke, L., Schilling, H. and Kauffeld, S., Effectiveness of peer mentoring in the study entry phase: A systematic review. Review of Education, 12(1), p.e3462, 2024. [5]. Ntombela, B., Ramabodu, M.S. and Moloi, K., 2025. Strategies for Empowering and Retaining Women in Science, Technology, Engineering, and
maintaining transfer momentum - full-time student status was oneof the strongest predictors of transfer in an analysis of 2003-2009 data from community collegesacross the U.S., doubling the probability that a student will transfer to a 4-year program (LaSotaand Zumeta, 2016). While maintaining academic momentum is a factor in improving graduationrates, scholarships also allow for greater opportunity to engage in campus activities outside ofclass, increasing students’ engagement with their institution (Marra et al., 2015). Several studiesat the Community College of Baltimore County showed that targeted scholarship programs (likeNSF’s Scholarships in Science, Technology, Engineering, and Mathematics Program (S-STEM))can increase the number of
underrepresentedgroups, particularly for women, Black students, and Hispanic students.AcknowledgementsThe authors would like to thank the instructors of these courses for their cooperation and supportof this study. We would also like to thank the 41 teaching assistants and section leaders whohelped distribute materials and did all the video showings. Lastly, we would like to thank thestudents who were enrolled in the course and participated in the study. There were many richdiscussions about the topics in these videos that cannot be captured by data or summarized in apaper.ReferencesBeilock, S. L. (2008). Math performance in stressful situations. Current directions in psychological science, 17(5), 339-343.Beilock, S. L., & Willingham, D. T. (2014
Students on Engineering Design Teams,” in 2015 ASEE Annual Conference and Exposition Proceedings, Seattle, Washington, Jun. 2015, p. 26.1007.1-26.1007.23, doi: 10.18260/p.24344.[7] E. Seymour and N. M. Hewitt, Talking about Leaving: Why Undergraduates Leave the Sciences. Boulder, CO: Westview Press, 1997.[8] D. R. Johnson, “Campus Racial Climate Perceptions and Overall Sense of Belonging Among Racially Diverse Women in STEM Majors,” J. Coll. Stud. Dev., vol. 53, no. 2, pp. 336–346, 2012, doi: 10.1353/csd.2012.0028.[9] C. E. Foor, S. E. Walden, and D. A. Trytten, “‘I Wish that I Belonged More in this Whole Engineering Group:’ Achieving Individual Diversity,” p. 13, 2007.[10] R. M. Marra, K. A. Rodgers, D. Shen, and B. Bogue
Department of Technology and Society. She is currently the Assistant Director of STEM Smart programs, which include programs S-STEM ASSETS, LSAMP, and NASA NY Space Grant. Lauren has had the opportunity to participate in many professional development programs, such as the first cohort of the Research Foundation Leadership Academy, and Research Foundation Mentoring Program. Lauren received her Master of Arts in Higher Education Ad- ministration from Stony Brook University in May 2017. Her current research analyzes the gender equity in higher education, with a focus of females in STEM. With her research background, Lauren is a Women in Science and Engineering (WISE) affiliated member, and instructs the course, Society and
for water similar to the treat-ment of ideal gases. In lieu of a simple mathematical relationship between the thermodynamic properties of water,property charts serve an important purpose by allowing students to visualize processes and cycles.Engineering students are already encouraged to sketch their cycles on temperature-entropy (T-s)charts and to study various modifications of the Rankine Cycle. Such property chart sketches areuseful for highlighting how most ideal engineering processes follow constant property lines suchas isobars and isotherms. However, without connecting these sketches to the property values,students fail to recognize the interdependence of thermodynamic properties. Rather than relyingon supplementary function of the
Academy of Engineering, Committee on Public Understanding of Engineering Messages, Changing the Conversation: Messages for Improving Public Understanding of Engineering. Washington, D.C.: National Academies Press, 2008.[4] National Governors Association Center for Best Practices, Council of Chief State School Officers, Common Core State Standards for English Language Arts & Literacy in History/Social Studies, Science, and Technical Subjects. Washington D.C.: National Governors Association Center for Best Practices, Council of Chief State School Officers, 2010.[5] C. Anderson, “Perspectives on Science Learning,” in Handbook of Research in Science Education, S. K. Abell and N. Lederman, Eds. Mahwah, N.J.: Lawrence Erlbaum
request signal(s) to the previous register stage, utilizing either the full-word orbit-wise completion strategy 18. To ensure delay-insensitivity, NCL circuits must adhere to thefollowing criteria: Input-Completeness 16 and Observability 16. Furthermore, when circuits utilizethe bit-wise completion strategy with selective input-incomplete components, they must alsoadhere to the completion-completeness criterion 19, which requires that completion signals onlybe generated such that no two adjacent DATA wavefronts can interact within any combinationalcomponent.NCL systems consist of Registration, Combinational Logic, and Completion Detection,connected together as shown in Figure 1. NCL registration is realized through cascadedarrangements of single
finished products. The biorefineryconcept is gaining popularity as a model that will maximize the value of biomass resources in the Page 11.278.3U. S. Biorefineries will revolutionize the utilization of the nation’s vast renewable supply of Figure 1. Major concepts associated with biorefineries. Page 11.278.4Figure 2. Major processes and material flows for an example biorefinery.biomass resources. Biorefineries provide two main advantages to production: they will increasethe productive utilization of feedstocks and increase returns to scale as additional products
Paper ID #27132Impact of Research Experience Programs on National and International Un-dergraduate Engineering StudentsDr. Jacques C. Richard, Texas A&M University Dr. Richard got his Ph. D. at Rensselaer Polytechnic Institute, 1989 & a B. S. at Boston University, 1984. He was at NASA Glenn, 1989-1995, worked at Argonne National Lab, 1996-1997, taught at Chicago State University, 1997-2002. Dr. Richard is a Sr. Lecturer & Research Associate in Aerospace Engi- neering @ Texas A&M since 1/03. His research is focused on computational plasma modeling using spectral and lattice Boltzmann methods for studying
1, 2, and 3 relate to ABET 3f, question 4relates to ABET 3h, and questions 5 and 6 relate to both ABET 3i and 3j. The EPSA discussioninstructions are used to provide a framework for the creation of an EPSA scenario. Table 2. EPSA Discussion Instructions Imagine that you are a team of engineers working together for a company or organization on the problem/s raised in the scenario. 1. Identify the primary and secondary problems raised in the scenario. 2. Discuss what your team would need to take into consideration to begin to address the problem. 3. Who are the major stakeholders and what are their perspectives? 4. What are the potential impacts of ways to address the problems raised
asking students to sketch thermodynamic cycles on a temperature-entropy T-s or pressure-volume P-v chart. The typical analytical steps involving propertyretrieval followed by depiction on a property chart is disjointed and reversed. If property valuesare acquired directly from a property chart, the process is integrated into a single intuitive stepthat promotes deeper understanding. While printed charts exist, they can be challenging to readconsidering a single point must supply up to six discrete values (namely P, T, v, u, h, and s).Instead, an interactive property chart that displays properties values for user-identified states canbe highly effective visual aid. This was the inspiration behind the Clausius app. Clausius allowsusers to simply
processes are always high and at stake. Thus, an engineer’s responsibility on livingup to the ethical standards and conduct have extensive risk. In this regard, educating the future engineeringworkforce (educational policy making) and establishing effective up-to-date policy making in theoperational aspects of engineering profession (professional policy making) are two important pillars ofsustaining the knowledge and practice of ethics in engineering profession.Regarding the professional policy making, US National Society of Professional Engineers (NSPE)establishes the code(s) of ethics for professional engineering guidance and compliance [3]. NSPE requiresengineers to perform under a standard of professional behavior that requires adherence to the
AC 2008-84: IMPLEMENTING RESEARCH–BASED INSTRUCTIONALMATERIALS TO PROMOTE COHERENCE IN PHYSICS KNOWLEDGE FORTHE URBAN STEM STUDENT.Mel Sabella, Chicago State University Mel S. Sabella is an Associate Professor of Physics at Chicago State University (CSU). His interests focus on improving STEM education for underrepresented students. Sabella is the director of an NSF – CCLI project that integrates research-based instructional material in the introductory urban physics classroom. He is also director of the Physics Van Inservice Institute, part of a project supported by the Illinois Board of Higher Education. Sabella earned his PhD. in Physics Education Research from the University of Maryland
, entrepreneurship,and project management instruction once per week. Moreover, computer science studentsreceived introductory instruction in finance and project management in their additional classhour. The teaching was supported by nine mentors/advisors from computer-related and financeindustries that facilitated the entrepreneurial component of the course. These mentors/advisorssometimes served as guest lecturers. The 28 students (twenty-six were registered) in the coursewere grouped into seven E-teams labeled E-team #’s 1-7. Five of the E-teams (E-team #’s 1-5)were deliberately designed by the professors within the first two weeks of the semester usingstudent information obtained from a professor designed questionnaire and a multipleintelligences
, and Don H. Morris, Statics and Mechanics of Materials - An Integrated Approach: John Wiley, 1995.[2] Waldron and Kinzel, Kinematics, dynamics and design of machinery: John Wiley and Sons, 1999.[3] Shigley and Mischke, Mechanical engineering design, 6th ed: McGraw Hill, 2001.[4] R. L. Norton, Machine design: an integrated approach, 2nd ed: Prentice Hall, 2000.[5] Chironis, Mechanisms and mechanical devices source book: McGraw Hill, 1991.[6] Erdman, Sandor, and Kota, Mechanism design, vol. 1, 4th ed: Prentice Hall, 2000.[7] B. Burges, E. Kiell, and S. Vogt, "Mech - 510: Project of a triple action press," Kettering University, Flint 2001.RAGHU ECHEMPATI is an Associate Professor of Mechanical
the undergraduate program in computer engineering at MSU. She also served as interim department chair in the Department of Electrical and Computer Engineering from 2000 to 2001. She was a research staff member in the Scalable Computing Laboratory at the Ames Laboratory under a U.S-D.O.E. Postdoctoral Fellowship from 1989 to 1991. Her teaching and research has focused on the areas of embedded computer systems, reconfigurable hardware, integrated program development and performance environments for parallel and distributed systems, visualization, performance monitoring and evaluation, and engineering education. She currently serves as principal investigator for NSF STEP and S-STEM grants in the college. Dr. Rover is
work supported by a National Science Foundation DUEGrant No 2215807. Any opinions, findings, conclusions, or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the National Science Foundation’sviews.References[1] Litzinger, T., Lattucca, L., Hadgraft, R., & Newstetter, W. (2011). “Engineering education and the development of expertise.” Journal of Engineering Education, 100(1), 123-150.[2] Hake, R. R. (1998). “Interactive-engagement versus traditional methods: A six-thousand-student survey of mechanics test data for introductory physics courses.” American journal of Physics, 66(1), 64-74.[3] Streveler, R. A., Brown, S., Herman, G. L., & Montfort, D. (2015). Conceptual change and
, numerical, quantitative, and DM qualitative data. 13 Understanding the structure and characteristics of diverse datasets. DM 14 Merging or joining datasets from different sources to create a unified dataset. DM, 15 Using appropriate tools to visualize data distributions of missing values, duplicate values, inconsistency types, and outliers. DM 16 My ability to inform decisions to standardize or normalize values as needed, depending on project requirements. S, ML, B 17 In making informed decisions on handling invalid data. Based on the visualized data distributions and stakeholders
THINKING TOOL IN CONTEMPORARY MATHEMATICS AbstractThis study examines the relationship among learning, writing, critical thinking, and knowledgeretention. Having noted students‟ surprise at failing a math placement test when they believethey “know” the material on it, the author hypothesizes that a lack of critical thinking about thematerial in earlier math courses allows students‟ memory of it to fade over time. The author usesBloom‟s Taxonomy, as modified and published in 2001, to show the need for higher-levelthinking to facilitate knowledge retention. Writing is used as a principal strategy for stimulatingcritical thinking among students studying Contemporary Mathematics at
student interest and attitudes [17]. Interest in engineering has also been shown toincrease with outreach [18]. Additional work has shown that students participating in anengineering camp were more likely than control students to take STEM courses in high school[19].STEM identity describes the extent to which an individual sees themselves as a “science person”,“math person”, etc. [20]. STEM identity has also been linked to youth enrolling inpost-secondary STEM education [21]. Fit or belonging is also believed to be a factor in gendergaps in STEM enrolment, where explanations based on abilities, interest, and self-efficacy fallshort [22].While we list a number of possible constructs above, it is unclear which one(s) (such as STEMidentity and self