1968.KATHLEEN A. HALLKathleen Hall is a Professor of Mathematics at Southern Polytechnic State University. She received the B. S. degreein Mathematics from Loyola University, New Orleans in 1970 and the M. S. degree in Mathematics from ClemsonUniversity in 1972. She spent several years working in finite element analysis with the Lockheed AeronauticalSystems Company. Page 6.653.5 Proceedings of the 2001 American Society for Engineering Education Annual Conference & Exposition Copyright © 2001, American Society for Engineering Education
thermodynamically consistent and rate constants are given by k = AT n exp(− E RT )Heterogeneous Yang and Hougen form:Catalytic CrC s k C Aa C Bb − R S − rA = K 1 + ∑ K i Ciγ i This form includes Langmui-Hinshelwood, Eley-Rideal and Mars-van Krevelen etc.Simple Rate α β C Rϕ C Sγ rA = − k f C A C B − in which K eq is predicted from K eq
periods of months. The schedules are allowed to bedictated to a large extent by the academic demands placed on the student experimenters.Planning also anticipates the need to go back for further data acquisition after initial analysis ofthe data from the first set of tests in such facilities. These are all luxuries seldom affordablewithin the schedule and cost constraints of major facilities.In the 1980s and early 1990s, the Experimental Aerodynamics Group at Georgia Institute ofTechnology (GIT)’s School of Aerospace Engineering developed measurement systems to dealwith the complex, unsteady flow environment of rotary wing vehicles1. These diagnostictechniques were initially developed using high-power lasers, which are extremely fragile,expensive
Communication Curriculum in One Department of CivilEngineering," IEEE Transactions on Professional Communication, vol. 51, pp. 313-327, 2008.18 M. T. Davis, "Assessing Technical Communication within Engineering Contexts Tutorial," IEEE Transactions onProfessional Communication, vol. 53, pp. 33-45, 2010.19 L. J. Anthony, et al., "Using Discourse Analysis to Study a Cross-Disciplinary Learning Community: Insightsfrom an IGERT Training Program," Journal of Engineering Education, vol. 96, pp. 141-156, 2007. Page 22.1687.1220 S. S. Taylor, "Comments on Lab Reports by Mechanical Engineering Teaching Assistants - Typical Practices
of our Bachelor’s Degree Completion program as we continue togrow and improve the program. We hope to better serve our metropolitan region and contributeto the overall increase of college graduates within the region. We plan to expand the program inthe future to provide students with a larger number of elective courses and more options forspecialized tracks. Several tracks such as health IT, engineering patent and nanotechnology areunder consideration to be added to this program. 1 S. W. Popper and C. S. Wagner.” New Foundations for Growth: The U.S. Innovation System Today and Tomorrow”. Santa Monica, CA: RAND Corporation, 2002. 2 R.D. Atkinson and M. Mayo, “Refueling the U.S. Innovation Economy: Fresh Approaches to
relevance and social relevance connections used for the 11th-12th gradecurricula. Page 25.1402.10 Table 3 Ropes Course Curriculum Session and Leader, Topics, Personal Relevance, and Social Relevance Personal Relevance/ Age Social Relevance Curriculum Session and Leader Topics Discussed Appropriateness (11th-12th grade) Connection(s)Ropes Course Physics • Kinetic energy • Attendees may have taken/may be • Roadside safety devices
-levelengineering courses?This paper examines the need and effectiveness of online homework for upper-level engineeringcourses as well as the difficulties in creating such a product. The experiences and outcomes of ane-learning company, Sapling Learning, that developed commercial online homework for thesecond year chemical engineering course, Material and Energy Balances are presented.Because online homework in the engineering fields is a rarity, some background is required tounderstand how Sapling Learning began developing online chemical engineering homework. In2008, Sapling Learning began developing textbook-independent homework and sold the productdirectly to instructors and universities to be paired with any textbook. “Technology T.A.’s” atSapling
.”) Page 25.1080.3Building RelationshipsBefore starting the PLTW conferences, Professor Harding spent a few years buildingrelationships with teachers from local high schools. Of the 20-30 high schools in the region,there were four PLTW schools, so he started there. His first contact at each school was generallywith the principal, then with the PLTW teacher(s).He built a recruiting presentation, and started visiting the schools. At one school, the largest inthe region, the PLTW instructors set up large assemblies of students (PLTW classes, physicsclasses, etc.) so he could speak to hundreds of students in a single visit. At the other schools henormally spoke to one or two PLTW classes.Although it has a recruiting component, the presentation itself
learning techniques), and high-strain deformation of materials. She is currently a Co-PI in an NSF S-STEM and ADVANCE-PAID grants. She is actively involved in outreach activities that introduce middle school students to engineering.Dr. Theresa M. Vitolo, Gannon UniversityBarry J. Brinkman, Gannon UniversityDr. Scott Steinbrink, Gannon University Page 25.1147.1 c American Society for Engineering Education, 2012 Seeking Relevancy, Building Excellence: Service Learning in the SEECS Program, an NSF S-STEM sponsored projectThe Scholars of Excellence in Engineering and
" "ID ",1 "Type ","Waveform" "Date ",11/28/00 "Time ",2:21:30 PM "X Scale ",2.000000E-04 "X At 0% ",-4.000000E-04 "X Resolution ",2.500000E+01 "X Size ",512 "X Unit ","s" "X Label ","200 us/Div" "Y Scale ",5.000000E-01 "Y At 50% ",4.000000E-02 "Y Resolution ",2.500000E+01
; ExpositionCopyright © 2001, American Society for Engineering Education Figure 10. Futon FrameReferences:1. URL: http://www.krev.com/; MSC.Working Knowledge, a division of MSC Software.2. Felder and Silverman “How Students Learn: Adapting Teaching Styles to Learning Styles,”Proceedings of ASEE/IEEE Frontiers in Education Conference, Santa Barbara, CA., p. 489,1988.3. Wang, S-L., Mechanism Simulation in a Multimedia Environment, as a supplement to Designof Machinery, 2nd ed., New Media Version, by Norton, R., McGraw-Hill, 2001.4.Beer F. and Johnston E. R., Vector Mechanics for Engineers, Sixth Edition, New MediaVersion, McGraw-Hill, 1997.5. Erdman, A.G. Sandor, G.N., and Kota, S. Mechanism Design: Analysis and Synthesis
Behavior and Human Performance, October 1983, pp. 66-86.3. Byrne, J.A. Deliver – or else, Business Week, Marc 27, 1996, p. 36.4. McClelland, D.C. The Achieving Society. New York: Van Norstrand Reinhold, 1961.5. Shellenbarger, S. Data gap, Wall Street Journal, June 21, 1993, p. 6.6. Caudron, S. The top 20 ways to motivate employees, Industry Week, April 3, 1995, p. 14.CYNTHIA L. TOMOVICDr. Cynthia L. Tomovic is a professor and acting department head in the Department of Organizational Leadershipand Supervision, Purdue University. In addition to her administrative duties, she teaches courses in organizationalbehavior and human resource management. She has published extensively on issues pertaining to qualityimprovement and assessment in higher
4.18 Training 4.2 Quality System 4.5 D ocum ent C ontrol SHOP FLO OR 4.9 Process C ontrol 4.6 Product Identification & 4.10 Inspection & Testing Traceability 4.14 C orrective Action 4.7 Purchaser S upplied Product 4.12 Inspection & Test Status 4.16 Quality R ecords 4.13 C ontrol of N on-C onform ing Products 4.17 Internal Quality
characteristics.The metal flat plates have wide range of emissivities. Both plane and cylindrical radiators, eachwith near black-body characteristics, are also provided. The unit is equipped with thermocoupleprobes for surface temperature measurement, a photoelectric cell, and a multijunction thermaldetector/radiometer.The tube-in-tube heat exchanger apparatus consists of concentric copper tubes ½” and 1” indiameter. The heat exchanger can be configured, by opening and closing valves, to run in eithera parallel flow or counter-flow heat exchanger configuration. In addition, the outer tubes can beused to examine cross-flow free-convection from a heated cylinder. Water flow velocities of upto 4 ft/s can be run in the heat exchanger to allow students to observe
5.693.1conguration is unique. In this paper, we present preliminary results of our endeavor to minimize (1.1) when n = 4. A solutionto (1.1) is a sequence w = (w1 ; :::; w72 ) of 72 digits consisting of 61's. That is, wi = 61 for eachi = 1; :::72. The diculty in minimizing (1.1) is that the set of solutions is a large set consisting of 272dierent solutions. We have employed the search techniques of simulated annealing algorithms and genetic algorithms toobtain near-optimal solutions to (1.1) when n = 4. First, we implemented the simulated annealing to ndnear-optimal solutions. With a set of near-optimal solutions, we
ideas and experiments are geared todemonstrate a proof-of-concept of such an idea. It demands creative thinking on the part of theadvisor as well as the student(s) in each step of the project. This maintains a close workingrelationship between students, advisor, and industry throughout the course of the project. Theauthor has developed a project management and execution scheme in two semesters in foursteps. The student is first asked to follow a certain procedure with proper explanation.Semester – I: Literature search through CD-ROM and on-line library searches: - Studentsget familiar with the state-of-the-art knowledge and learn library usage for practical applications.Semester-I&II: Designing of the experiments and/or final deliverables
can be valuable in itsown right), many web surfers are caching in on the availability of dynamic resources: e.g.,Up-to-the-minute stock quotations from net-savvy investment houses [1]Regularly, if not immediately, updated weather and climatological data for their local setting orone or more locations around the world [2]A real-time video perspective of current freeway conditions [3].Institutes of higher education entered this game quite early, with perhaps the most infamous Page 3.222.1examples being the networked COKE machine projects which sprang up in the mid 1980’s andhave been replicated around the globe in many and various forms [4
-Piñera, et al., “Design and integration of a problem-based biofabrication course into an undergraduate biomedical engineering curriculum”, J Biol Eng 10, 2016, 10.[3] A.B. Abell, “Embracing Ambiguity: A Framework for Promoting Iterative Design Thinking Approaches in Open-Ended Engineering and Design Curricula”, 2017.[4] S. R. Daly, C. M. Seifert, S. Yilmaz, R. Gonzalez, "Comparing Ideation Techniques for Beginning Designers", ASME. J. Mech. Des. October 2016; 138(10): 101108.[5] T.C. Davies, J. Manzin, M. Meraw, et al., “Understanding the Development of a Design Thinking Mindset During a Biomedical Engineering Third-Year Course”, Biomed Eng Education 2023, 3, pp.123–132.[6] A. S. T. Wong, & C
engineering colleges,identifying coping strategies in regard to different concerns and stressors, and enabling theincorporation of industry-related specifications and tips on managing related stressors.References[1] S. Khorshid and S. Song, “Work in Progress: Assessing the Need for Mental Health Curricula for Civil, Architecture, and Construction Engineering,” presented at the 2023 ASEE Annual Conference & Exposition, Jun. 2023. Accessed: Jan. 20, 2024. [Online]. Available: https://peer.asee.org/work-in-progress-assessing-the-need-for-mental-health- curricula-for-civil-architecture-and-construction-engineering[2] J. F. Mirabelli, A. J. Kunze, J. Ge, K. J. Cross, and K. Jensen, “Work in Progress: Identifying Factors that Impact
of future engineering faculty and developing a more diverse, equitable and inclusive Purdue Engineering.Dr. Janet M Beagle Dr. Janet Beagle is the Director of Graduate Programs for Purdue Universityˆa C™s College of Engineering. Formerly the Director of Graduate Admissions over five campuses and more than 100 graduate programs, she has worked with graduate recruitment and admis ©American Society for Engineering Education, 2024 Evaluation of current graduate student preparation after completing the GradTrack Scholars Virtual Mentoring Program as an undergraduate student Lexy C. Arinze, Jackie E. McDermott, Janet M. BeagleAbstractMentorship
programming tool. Only 41% of the CS2 students, whowere instructed to use a command line tool, completed Task 1. This percentage was much higherfor the CS2 students using this tool to complete Task 2. For both Tasks 1 and 2 most of the OOPstudents, who were instructed to use a command line tool, were able to complete them. Table 5. Assigned Tool/Editor(s) to Complete the Two Assigned Tasks (Fall 2020 - Spring 2023) Assigned Tool(s) - Command Line vs. IDE N Task 1 Task 2 CS2 77 Command Line: 41% Command Line: 71% IDE
it change their self-perception? 4) How might gender inequity occur in a university setting? 5) Either based on your own knowledge, or based on what you’ve learned in the clip, how pervasive of an issue do you believe this to be? Clip 1) Referring to the video, describe the example of a bystander scenario. 3 2) Explain what you believe motivated them to act as bystander(s). 3) What are other reasons people might act as a bystander? 4) Describe what the bystander(s) could have done differently (in the clip) to help ensure a safe, equitable and professional workplace. 5) If you had been in the bystander(s) shoes, do you think you would recognize what was happening at the
) engineering disciplines have a much higher percentage of male students. Female Male100% 80% 60% 40% 20% 0% l l s il l l al cs ra ca
diffusion of theAmerican model of education: Accreditation agencies and American-style universities in theMiddle East. International Journal of Politics, Culture, and Society, 26(2), 159-172.[2] Refae, G. A. E., & Belarbi, A. K. (2017). University governance and educational AAU model:an organizational culture approach. Global Business and Economics Review, 19(2), 239-249.[3] Anyanwu, S. U., & Iwuamadi, F. N. (2015). Student-centered teaching and learning in highereducation: Transition from theory to practice in Nigeria. International Journal of Education andResearch, 3(8), 349-358.[4] Bowen, W. G., & Tobin, E. M. (2017). Locus of authority: The evolution of faculty roles in thegovernance of higher education. Princeton University Press
recruiting participants. Second,conducting pilot studies can help researchers develop and iterate the questions included in aninterview protocol [2, 14].To develop a consensus on how many participants we wanted to use for this study, we utilizedMalterud et al.’s concept of information power (see Figure 1) [15]. Information power helped usanalyze the sample pool from which we had to develop this study methodologically. Accordingto Malterud et al., information power explains that fewer participants are needed if the sampleholds more information important to the study [15]. Five aspects are important to determiningthe information power of a specific sample: study aim, sample specificity, established theory,dialogue quality, and analysis strategy. More
related beliefs about ecological crisis, the practical constraints of resources, andthe vulnerability of nature’s balance.DEVELOPING NEW ENGINEERING PEDAGOGY A wide range of scholarly work explores specific forms of pedagogical innovation thatwe argue could be used to mainstream human rights within engineering education. One strandfocuses on changing the terms of course goals and the approaches to targeting students (Wilcox& Akera, 2014), learning methods (Hoole & Hoole, 2002; Shankar et al., 2017), assignments(Bielefeldt, 2014) and interdisciplinary approaches (Brower et al., 2007; Leydens and Lucena,2016). Wilcox and Akera (2014) focus on the positive effect that Rensselaer PolytechnicInstitute (RPI)’s first-year Sustainability
, to verify if balancing solution is satisfactory by comparing the vibration amplitude V2 to the original amplitude vibration Vo.In the following example, the virtual rotor kit (VRK) is required to be balanced when it runs at1000 RPM constant speed, and the “original” unbalance configuration is unknown. The tests andsolution will be based on the coefficient influence method. Similar to a “real” rotor test rig,constrains must be addressed when the solution is implemented. To add any trial weight to theVRK ‘s correction plane the constrains shown in yellow in the setup window in Figure 2 have tobe taken into account.Step 1: Select the configuration, rotor speed and output as shown in Figure 2, and collect data.The second window (VRK Lab) is