. Another key feature is the“pulsating” representation where at each “pulse” the different disciplines or subsystems “open”to work independently and then “close” to integrate their findings. The model will be madeavailable for use in senior design courses as well as for prototyping in the author’s research areaof biomechatronics.1 IntroductionThe objective of this paper is to present an initial model for the multidisciplinary interaction ofdisciplines in mechatronics design. The objective of the model is to allow engineers to create astrategy for the interactions among disciplines.“Mechatronics” refers to a new engineering field, which started in Japan in the early 70’s and hascontinued its development since then. Mechatronics has been defined as
Historically BlackUniversity), all three being part of the Texas A&M system. TAMU, the lead university in thepartnership, offers undergraduate and graduate degrees in nuclear engineering and is one of thelargest nuclear engineering departments in U.S3. TAMU has offered courses to PVAMUthrough the Trans-Texas Videoconference Network (TTVN) system. This has allowed thePVAMU program to grow as the requirement to develop courses is reduced and students canenroll in the courses offered by TAMU through TTVN. The program s primarily designed to develop efficient manpower for the nuclear energyindustry from the under representative groups. In the same contrast, this program is expected tooffer introductory courses in the areas of radiation biology
Identify solution(s) designs tradeoffs 4 Choose the Select the most Select best Model the Select the best Choose & best solution promising solution design possible justify your solution solution(s) optimal design 5 Create a Construct a Construct Execute the Construct a Develop a prototype prototype prototype design prototype prototype 6 Test and Test and Test and Test and Test and evaluate evaluate
3.2 Preference for a Value 3.1 Acceptance of a Value 2.0 Responding 2.3 Satisfaction in Response 2.2 Willingness to Respond 2.1 Acquiescence in Responding 1.0 Receiving 1.3 Controlled or Selected Attention 1.2 Willingness to Receive 1.1 AwarenessAdapted from Krathwohl, D. R., Bloom, B. S., & Masia, B. B. (1964). Taxonomy of educationalobjectives: The classification of educational goals, Handbook II: Affective Domain. New York:David McKay
Operations Research, John Wiley & Sons, New York.2. Hillier, F. S., and Lieberman, G. J., 2001: Introduction to Operations Research (seventh edition), McGraw-Hill, New York.3. Hosein Anexa, Aczel James, and Clow Doug (2006). “The Teaching of Linear Programming in Different Disciplines and in Different Countries”, In: 3rd International Conference on the Teaching of Mathematics at Undergraduate Level, 30 Jun-5 Jul 2006, Istanbul, Turkey.4. Albritton M.D, McMullen P. R., and gardiner L. R. (2003). “OR/MS content and visibility in AACSB- acreditted U.S. business schools. Interfaces 33 Num 5 page 83-89.5. Winston, W. L. and Venkataramanan M., 2003: Introduction to Mathematical Programming, Brooks/Cole- Thomson Learning
AC 2012-2972: APPLICATION OF INTERRUPTED CASE METHOD FORTEACHING ETHICS TO GRADUATE STUDENTS IN TRANSPORTATIONENGINEERINGDr. Robert M. Brooks, Temple University Robert Brooks is an Associate Professor of civil engineering at Temple University. He is a Fellow of ASCE. His research interests are engineering education, civil engineering materials, and transportation engineering.Jyothsna K. S., Jyothsna K. S., Department of English, St.Joseph’s College, Bangalore, secured a gold medal for the high- est aggregate marks in the Post Graduate English Literature Course at St.Joseph’s College (autonomous). K. S. has been working for the Department of English, St.Joseph’s College for almost two years now, teaching both
assessments will help the instructor tailor the followinglecture(s) to address any remaining difficulties, and will also guide the revision of thelaboratories. Students’ responses to exam questions will then be used to assess students’understanding once again.(2) Modeling + Experiment: Computation is now a ubiquitous tool in science and engineering,complementing theory and experiment. There have been several successful efforts to introducecomputation in the introductory physics sequence and upper-level curriculum (for example,Matter and Interactions,8 the course developed by J. Tobochnik and H. Gould,9 and projects atLawrence University10 and Brigham Young University,11 among others12), using VPython,Maple, and other computational languages. However
that can be used to show that a student Page 25.213.2has acquired knowledge, and can organize that knowledge into an evolving structure. The abilityto evolve is pedagogy independent and content “volume” independent. That is, it is not asimportant how much “stuff” the student learns or by which method s/he learns it, it is moreimportant that the foundation of that knowledge is organized so it may be extended as the studentmatures. Concept maps are a formative tool educators may use to determine if the student is on aproper learning trajectory.Concept maps have been around for some time and have been employed in a number ofdisciplines, so what
professional engineering, (c) applying skillsand knowledge gained in the classroom to a real-world problem, (d) learning to work with teamsin a professional atmosphere, (e) gaining hands-on experience in a real-world situation, (f)learning to develop and compare multiple approaches to solving complex open-ended problems,and (g) increasing their opportunity to be hired post-graduation. The success that the CollegiateDesign Series has sustained since its establishment in the 1970’s indicates that participationyields high-performing and exceptional students. Page 25.1311.2Many universities tout co-operative education opportunities to help bridge the
Engineering Design Course. Paper presented at: 36th Annual Frontiers in Education Conference, 2006; San Diego, CA.13. Bracewell RH, Ahmed S, Wallace KM. DRed and design folders: a way of capturing, storing and passing on-knowledge generated during design projects. Paper presented at: ASME International Design Engineering Technical Conference (IDETC' 04), 2004; Salt Lake City, UT.14. Brown BA. Discursive identity: Assimilation into the culture of science and its implications for minority students. Journal of Research in Science Teaching. 2004;41(8):810-834.15. Brown BA. “It isn't no slang that can be said about this stuff”: Language, identity, and appropriating science discourse. Journal of Research in Science
discussion to teach communication courses. Communication Education, 51, 325-331.6. Wang, L.C.C, and Bagakas, J.G. (2002). Understanding the dimensions of self- exploration in Web-based learning environments. Journal of Research on Technology in Education, 34, 364-373.7. Bourne, J., Harris, D., and Mayadas, F. (2005). Online engineering education: Learning anywhere, anytime. Journal of Engineering Education, Jan, 131-146.8. Uhlig, R., and Viswanathan, S. (2006). Effective design, instruction and assessment of an on-line engineering course. Presented at the ASEE Mid – Atlantic Conference.(28-29) New York City, New York..9. Denning, T., Griswold, S. and Simon, B. (2006). Multimodal communication in the classroom: What does it mean for us
apparent during the first designcycle, or were of second tier importance, can be remedied in the redesign cycle. This safety netof the second cycle allows students to succeed on challenging design projects. Finally, a doublecycle provides another aspect of authenticity to a design course. Professional designers learnfrom prototypes with the intent of redesign for many of these same reasons.The author thanks the students whose participation, creativity, and follow-through made thisstudy possible. The author also thanks the reviewers for offering thoughtful perspective andimprovements. Finally, the author thanks Dr. Diane Zemke for her helpful critique of thedeveloping manuscript and embedded ideas.References1. Viswanathan, V. K., and Linsey, J. S
Session 2793 Student Assessments of Engineering First-Year Seminars Andrew S. Lau, Robert N. Pangborn, John C. Wise, Rose M. Marra Pennsylvania State University / University of MissouriAbstractAs of summer 1999, the Pennsylvania State University requires all first-year students tocomplete a one-credit first-year seminar (FYS) as part of their General Education requirements.In fact, many engineering FYS’s were first offered in fall 1998 (as electives), and assessment hasbeen ongoing since that semester. Engineering seminars have these four specific goals: 1. Introduce students to a specific field, or a number
future civilengineering practice at a professional level, however, we must try harder and keep trying.X. AcknowledgementWe wish to thank the Carolyn S. and Tommie E. Lohman ’59 Professorship in EngineeringEducation, and the Wofford Cain ’13 Senior Chair of Engineering in Offshore Technologyat Texas A&M University for their financial support in preparing and presenting thispaper.BibliographyASEE (1994) Engineering Education for a Changing World, Joint Report of the Engineering Deans Council and Corporate Roundtable. 24-25 February 1994.Bordogna, J., (1998), "Tomorrow’s Civil System Engineer - The master Integrator," Journal of Professional Issues in Engineering Education and Practice, ASCE, April 1998, pp. 48-50.Little, R. G
iThe superscript T indicates the transpose of the matrix.Students in general are impressed at how well the filter can estimate unmeasured states (seeFigure 9) even in the presence of poor initial estimates and very high measurement noise. Ballistic Example: Kalman estimates (*) and real data (+) 1500 1000 500 s)/t (f yti c ol 0 e Vl a cti r
describe the contest goals and the planned sequence of events.We then discuss the unique challenges in software development, website development, andcontest administration that have been addressed throughout the planning process. We concludewith an assessment of the prospects for successful implementation of the contest in the comingyear.BackgroundThe United States Military Academy at West Point, New York, was established by Congress in1802. The Academy was intended not only to educate officers for the U. S. Army, but also toaddress the young nation’s critical need for engineers—both military and civilian. West Point isgenerally recognized as the first school of engineering in the United States, and its 19th Centurygraduates made a substantial
. Centrifugalcompressors are found in a variety of applications due to their operationscharacteristics, ease of repair and polytropic efficiency in the range of 70 % to 80%.For cost estimating process, many variables such as volume or weight capacity(cu.ft/min or lb/hr), molecular weight s, k-values, and compression ratios asrepresented by the BHP parameters are considered. These calculations are requiredbefore optimization can be attempted. We have to find field-assembled costs forcentrifugal machine with motor drive ranging from 200 to 3,000 BHP. Factors areincluded to adjust for other compression/drive combinations, Dollars amount shouldbe added for foundation, field materials, field labor, and in directs from theinstallation modules required 7.While modeling
American Society for Engineering Education Annual Conference & Exposition. Copyright Ó Page 6.831.42001, American Society for Engineering EducationBibliography1. Kobayashi S., Oh S., and Altan T., “Metal forming and the finite element method,” Oxford University Press, 1989.2. Hallquist J., and Reid J., “LS-DYNA User’s Manual, and Examples Manual,” Livermore Software Technology Corporation, 2000.3. Proceedings of LS-DYNA User’s Conference, 1999 and 2000 published by LSTC.4. Hosford W., and Caddell R., “Metal Forming: Mechanics and Metallurgy,” Prentice-Hall.5. Echempati R., and Riffe W. J., “Real and Virtual Forming of
and Teaching Styles in EngineeringEducation,” Engineering Education 78(7) 674, 1988.2. Felder, R.M., J.E. Stice, and R.Brent, National Effective Teaching Institute, Charlotte, NC,p. A-8, June 1999.3 Bird, R. B. , W. E. Stewart, E. N. Lightfoot, Transport Phenomena, John Wiley & Sons,1960.4. Middleman, S., An Introduction to Fluid Dynamics and An Introduction to Mass and HeatTransfer, John Wiley & Sons, Inc., New York, 1998.5. Cussler, E. L., Diffusion: Mass Transfer in Fluid Systems, 2nd Ed., Cambridge UniversityPress, 1999.6. Russell, T.W.F. and M. M. Denn, Introduction to Chemical Engineering Analysis, JohnWiley & Sons, 1972.7. Fogler, H. S., Elements of Chemical Reaction Engineering, Prentice Hall, 3rd Ed., 1999.8
. Page 6.222.11 Proceedings of the 2001 American Society for Engineering Education Annual Conference & Exposition Copyright2001, American Society for Engineering Education Figure 4: Program Assessment & Enhancement Cycle AY 00/01 AY 01/02 AY 02/03 AY 03/04 AY 04/05 AY 05/06 F S F S F S F S F S F SOutcomesOutcomes 1, 4, 5Outcomes 2, 7, 9, 10Outcomes 3, 6, 8, 11Non-course DataStudent Surveys2, 4, 6 yrs Alumni SurveysEmployer SurveysIndustry Council InputStudent CourseworkOutcomes Legend & Activities: Assessment Evaluation
and D = 40 degrees.The power factor angle for the circuit T = 84.24 degrees. The current flow in the circuit, after theswitch is closed at t=0, is given in Eq. (1).7,8 Page 3.317.3 R L S V = Vm sin(Zt+D) Fig. 2. Schematic diagram of an R-L circuitAs can be seen from Eq. (1), the current has two components. The first component varies Vm i [sin(Zt D T ) e Rt / L sin(D T )] (1) Zsinusoidally with time
viableresults, the underlying assumptions for its use, the process being measured and the type of datathat are being used to measure the process, all need to be carefully considered.Typical Shewhart control charts used in industry to monitor quality-based variables include the X and R (or s) charts, and the p chart for attributes 8. The X (the average of sample) and R (therange of the sample) control charts are widely used to monitor the mean and variability. If asurvey question requires a ‘yes-no’ or ‘satisfied-dissatisfied’ response, the p chart can be used tomonitor the proportion of those individuals responding “yes” or “satisfied”; e.g, with theirengineering education. To gain finer discrimination, though, ordered responses may be elicitedon
experience fills up the remainder of the term’s design hours. In Super Solids, the designexperience has taken on many forms depending on what project(s) have been cultivated fromindustry. There are two basic ways the class can operate for the projects: i) several unrelatedprojects can be undertaken by the student groups or ii) one project can be undertaken withdifferent student teams. Each way has its individual merits. When many projects are undertaken,the students can pick a topic of their choice. The professor should have several possible choices,since students don’t always have a project in mind. Often, and preferably, students bring aproject in from their work term. This benefits the class, the student, GMI, and the company. Thebig
more powerful leading to a reduction in the long development time requiredfor each educational module 22 . Page 4.271.23. Intelligent tutoring systemsThe forbearers to intelligent tutoring systems were computer-aided instruction (CAI) systemswhich first came on the scene in the early 1960’s. Originally these applications includedscheduling resources, managing teaching aids, and grading tests. However, the predominantapplication quickly became using the computer to interact directly with the student rather thanhave it act as an assistant to the human teacher 23. The first CAI programs were eithercomputerized versions of textbooks (characterized as
3 crs Innovation in Design ME 120 2 crs Statics; Dynamics CE 211, 212 6 crs Mechanics of Materials CE 215 3 crs C Programming Cpt S 251 2 crs Page 3.430.2 2[upper division courses in the major] 51 cr Materials Science MSE 301 3 crs Fluid Dynamics ME 303 3 crs Intro to Electrical Circuits EE 304
the U.S. Department ofAgriculture, National Institute of Food and Agriculture, Women and Minorities in STEMProgram, award #: 2022-38503-37903. The findings and conclusions in this preliminarypublication have not been formally disseminated by the U. S. Department of Agriculture, andshould not be construed to represent any agency determination or policy.Reference[1] M. V. Alfred, S. M. Ray, and M. A. Johnson, “Advancing Women of Color in STEM: An Imperative for U.S. Global Competitiveness,” Advances in Developing Human Resources, vol. 21, no. 1, pp. 114–132, Feb. 2019, doi: 10.1177/1523422318814551.[2] M. T. V. Taningco, A. B. Mathew, and H. P. Pachon, “STEM Professions: Opportunities and Challenges for Latinos in Science, Technology
responses withinthe cluster (within-cluster distance) compared to other clusters (between-cluster distance). Fromthe plots, we are interested in variables that have a smaller within-cluster distance than thebetween-cluster distance and the confidence interval bar does not overlap as this indicateswell-defined subgroup characteristics. In Clusters 1, 3, and 4, one of the variables that do nothave an overlapping confidence interval bar is the concern of ideas being heard by others(BeingHeard). This variable has a mean distance of 0, suggesting that all students in the clusterdo not think that this variable is a concern. On the other hand, only Cluster 2’s BeingHeardvariable mean distance is not 0, suggesting that researchers can dig deeper into the
Programming", Proceedings of the 2022 Conference for Industry and Education Collaboration, ASEE, 9-11 Feb 2022, Tempe, AZ.[4] Al Atwa, Abdullah, Ian Bumgardner, Mohammed Bushlaibi, Steven Castello, Joshua Erickson, Aleksandr Sergeyev, and Mohsen Azizi. "Capstone Project: PLC Control System with Integrated PID Controller for Control System Optimization," Proceedings of the 2014 IAJC-ISAM International Conference, ISBN 978-1-60643-379-9.[5] Y. Fukuzawa, Z. Wang, Y. Mori and S. Kawamura, "A Robotic System Capable of Recognition, Grasping, and Suction for Dishwashing Automation," 2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP), 2021, pp. 369-374, doi: 10.1109
, “A step toward nurturing infrastructure sustainability and rating systems through construction management curricula,” Int. J. Sustain. High. Educ., vol. 24, no. 8, pp. 1878–1897, 2023, doi: 10.1108/IJSHE-09-2022- 0296.[8] M. Wolfram and N. Frantzeskaki, “Cities and systemic change for sustainability: Prevailing epistemologies and an emerging research agenda,” Sustain., vol. 8, no. 2, 2016, doi: 10.3390/su8020144.[9] ISI, “Envision: Sustainable Infrastructure Framework Guidance Manual.” Institute for Sustainable Infrastructure, Washington DC, USA, p. 192, 2018.[10] T. Tanner, A. Bahadur, C. Simonet, and H. Betts, “Resilience scan | 2014,” 2016.[11] B. G. Celik, M. E. Ozbek, S. Attaran, and M
in soft skills by working in aninterdisciplinary team.AcknowledgementsThis project was supported by USDA NIFA funding, award number 2019-38422-30259. Wewould like to acknowledge Evelyn Martinez and Misael Calderon for the germination graphincluded in this document. We would also like to acknowledge all the previous SUSTAINstudents whose work is photographed in this paper. The external evaluation of the grant programwas conducted by Integrated Learning Innovations, Inc.References[1] Bogoslowski, S., Geng, F., Gao, Z., Rajabzadeh, A.R., Srinivasan, S., “Integrated Thinking -A Cross-Disciplinary Project-Based Engineering Education” in Auer, M.E., Centea, D. (eds)Visions and Concepts for Education 4.0. ICBL 2020. Advances in Intelligent Systems