Conference Session

Innovations in Teaching and Research in Physics or Engineering Physics III

Collection

2012 ASEE Annual Conference & Exposition

Authors

Bert Pariser, Technical Career Institutes

Tagged Divisions

Engineering Physics & Physics

3.00E+08 m/s n index of refraction of air 1.0003 v velocity of light in air 299702547 m/s v/c v/c = 1/n 0.99970009 (v/c)^2 (v/c)^2 = (1/n)^2 0.99940027 1-(v/c)^2 1-(1/n)^2 0.00059973 ((1-(v/c)^2))^1/2 ((1-(1/n)^2))^1/2 0.02448939 E Energy = h*f E Energy = h*c/λ 3.14E-19 J The wavelength of a He Ne Laser 6.33E-07 m Einstein said Energy = mc^2/((1-(v

Collection

15th Annual First-Year Engineering Experience Conference (FYEE)

Authors

Melissa C Kenny, Wake Forest University

course selection, majors,minors, studying abroad, internships, and other topics that could affect their future. Mostengineering curricula require significant coursework that makes fitting in additionalopportunities complicated. This can lead students to choose another major to pursue their otherinterests. To combat this issue, our first-year engineering course includes a graded assignment inwhich students develop a curricular map with all the required courses to graduate with themajor(s) and minor(s) they want. Students use a template (Figure 1) which is programmed to addcredits based on requirements and provides warnings when students don't meet these.Figure 1: Curricular map Excel spreadsheet where red indicates an incomplete item that

Conference Session

Biomedical Engineers and Professional Development - June 23rd

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Emmett Jacob Springer; Aileen Huang-Saad, University of Michigan

Tagged Topics

Diversity

Tagged Divisions

Biomedical Engineering

good physics student’ andinterest is defined as ‘desire/curiosity to think about and understand physics’. Performance andcompetence are distinguished by the difference between belief in ability ‘to perform [a] requiredphysics task’ and ‘to understand physics content’ respectively. Figure 1: Adapted visualization of Hazari et al.’s framework for ‘identification with physics’ per critical science agency [11]. In 2013, Godwin et al. used critical science agency and Hazari et al.’s physics identity framework toexplore engineering identity as a predictor of engineering major in college [13]. According to Godwin et al.,engineering identity relies heavily on strong mathematics and science identities yet should be studied as itsown entity, since

Conference Session

Multidisciplinary Engineering Division (MULTI) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Bob Rhoads, The Ohio State University; John Schrock, The Ohio State University

Tagged Topics

Diversity

Tagged Divisions

Multidisciplinary Engineering Division (MULTI)

Electrical Engineering (ICITEE). https://doi.org/10.1109/icitee49829.2020.9271781Sense of Belonging References: [2] Walton, G. M., & Wilson, T. D. (2018). Wise interventions: Psychological remedies for social and personal problems. Psychological Review, 125(5), 617–655. https://doi.org/10.1037/rev0000115 [3] Walton, G. M., & Brady, S. T. (2017). The many questions of belonging. In A. J. Elliot, C. S. Dweck, & D. S. Yeager (Eds.), Handbook of competence and motivation: Theory and application (pp. 272–293). The Guilford Press. [4] Walton, G. M., & Cohen, G. L. (2007). A question of belonging: Race, social fit, and achievement. Journal of Personality and Social Psychology, 92(1), 82–96. https

Conference Session

Pre-College Engineering Education Division Resource Exchange

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Katherine C. Chen, Worcester Polytechnic Institute; Mia Dubosarsky, Worcester Polytechnic Institute; Donna Taylor, Worcester Polytechnic Institute

Tagged Divisions

Pre-College Engineering Education

ideas Build your Revise your Share your Try out yourproblem(s) in solutions to the considering chosen solution to make work with solution the story problem materials solution it better others Digital Lesson Library for grades PK-5 Mat erials Lis Follows the entire problem-solving Variety o t

Conference Session

Educational Software

Collection

2008 Annual Conference & Exposition

Authors

Mark Hopkins, Rochester Institute of Technology

Tagged Divisions

Computers in Education

create accuratemathematical plots on-the-fly, and dynamically manipulate graphical content to emphasizepoints of discussion.This paper is about realizing that potential for the purpose of teaching the relationships betweencontinuous-time (C-T) and discrete-time (D-T) systems. This is an area that requires a teacher topresent several different types of plots – time-domain response plots, frequency-response (e.g.,Bode) plots, and pole/zero maps in the s-plane and z-plane – and to discuss their inter- Page 13.1030.2relatedness.Certainly, there are problems using computers to create plots “on-the-fly” in the classroom, e.g.: ‚ delays resulting from

Conference Session

Emerging Trends in Engineering Education

Collection

2004 Annual Conference

Authors

Robert Weissbach

Session 1793 Hardware Experiments in Feedback Control Systems Using a Geared Dc Motor Robert S. Weissbach Penn State Erie, The Behrend CollegeAbstractOne of the difficulties in teaching control systems to engineering and technology students is torelate classroom theory and computer simulation to experimental results. Students tend to focuson analyzing feedback control systems without understanding where the transfer functions of reallife systems come from. This effect is exacerbated by textbooks in control systems, whereauthors often assume that variables

Conference Session

ASEE Multimedia Session

Collection

2003 Annual Conference

Authors

William Lan; Karlene Hoo; Jason Williams; Harry Parker; Charles Smith; Theodore Wiesner

= (Ts − T ) (tube-side) (1) ∂t ∂z ρ C p D1 ∂Ts ∂T 4 D1U + sgn vs s = (T − Ts ) (shell-side) (2) ∂t ∂z ρ s C ps ( D2 2 − D12 )The exchanger is subject to the following initial and boundary conditions. T ( z , 0) = T0 ( z ) Ts ( z , 0) = Ts 0 ( z ) T (0, t ) = Tinlet (t ) (3) Ts (0, t ) = Ts,inlet (t ) cocurrent Ts ( L, t ) = Ts,inlet (t ) countercurrentT is the tube side temperature, t is time, and v is the tube side velocity

Conference Session

Laboratory Experiences in Electronics and Circuits

Collection

2013 ASEE Annual Conference & Exposition

Authors

Tooran Emami Ph. D., U.S. Coast Guard Academy ; Richard J. Hartnett P.E., U.S. Coast Guard Academy

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

Paper ID #7819Real-World vs. Ideal Op-Amps: Developing Student Insight into Finite Gain-Bandwidth Limitations and CompensationDr. Tooran Emami, U.S. Coast Guard Academy Tooran Emami is an assistant professor in the Department of Engineering, Electrical Engineering Section, at the U. S. Coast Guard Academy. She received M.S. and Ph.D. degrees in Electrical Engineering from Wichita State University in 2006 and 2009, respectively. Dr. Emami was an adjunct faculty member of the Department of Electrical Engineering and Computer Science at Wichita State University for three semesters. Her research interests are Proportional

Conference Session

NSF Grantees Poster Session

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Samantha Ruth Brunhaver, Arizona State University, Polytechnic School; Susan Sajadi, Arizona State University

Tagged Topics

NSF Grantees Poster Session

be taught? Can they be assessed?. Journal of Engineering Education, 94(1), 41-55.6. Flanagan, J. C. (1954). The critical incident technique. Psychological Bulletin, 51(4), 327-358.7. Khan, H. N. (2017). Scaling Moore's wall: Existing institutions and the end of a technology paradigm. Doctoral dissertation. Carnegie Mellon University.8. Benham, M., Foster, T., Gambell, T., & Karunakaran, S. (2020). The resilience imperative for medtech supply chains. McKinsey & Company. Available at: https://www.mckinsey.com/business-functions/operations/our- insights/the-resilience-imperative-for-medtech-supply-chains.9. Batur, D., Bekki, J. M., & Chen, X. (2018). Quantile regression metamodeling: Toward improved

Conference Session

Teaching with Technology in Dynamics and Mechanics of Materials

Collection

2006 Annual Conference & Exposition

Authors

Thomas Nordenholz, California Maritime Academy

Tagged Divisions

Mechanics

yd ? yn 1 / | ,2 A ? x - ÄÄ 0 2 ÕÕ , h ? tan /1 ÄÄ ÕÕ . yd Å v0 - |y n x0 Ö 0 Å ÖThe method for studying this problem now proceeds as follows. Students are asked to write aMATLAB program to compute x(t) for set values of the parameters m, k, c, x0, and v0. Anexample is shown below: % free sping/mass/damper clear,clc,close all % set parameters % all dimensions in m, kg, s k=100;m=4;c=4; x0=.2;v0=0; % calculate

Conference Session

Visualization Within Engineering Design Graphics Education Session 1

Collection

2015 ASEE Annual Conference & Exposition

Authors

Norma L Veurink, Michigan Technological University; A. J. Hamlin, Michigan Technological University

Tagged Topics

Diversity

Tagged Divisions

Engineering Design Graphics

paper test in 2014 withthose taking the paper test in 2013 were found.Table 1: Comparison of average PSVT:R scores for first-time students (maximum scorepossible = 30) Type of test and year Average PSVT:R Average PSVT:R Average PSVT:R taken score score of females score of males LMS in 2014 22.5* 20.3 23.4** (s=4.88, n=430) (s=4.74, n=116) (s=4.66, n=314) Paper in 2014 23.8 20.8 24.5 (s=4.32, n=454) (s=4.39, n=90) (s=3.96, n=364) Paper in 2013 23.7 21.2 24.3

Conference Session

MET Papers 1

Collection

2017 ASEE Annual Conference & Exposition

Authors

Mileta Tomovic, Old Dominion University; Cynthia Tomovic, Old Dominion University; Vukica M. Jovanovic, Old Dominion University; Cheng Y. Lin P.E., Old Dominion University; Nan Yao, Beihang University

Tagged Topics

Diversity

Tagged Divisions

Engineering Technology

firstattempt, while additional attempts are recognizing the fact that they are still in the learning phaseand may require some “guidance”. No partial credit is given for problems with incorrect answer.The overall strategy is to simulate learning progression from educational environment toindustry/work setting. Although these modifications were initially greeted by students withapprehension, at the end of the course students recognized the benefits of this structured andrigorous approach and expressed very positive attitude towards the examination strategy.ResultsThe study was performed on the results collected during eight semesters (S’13 – F’16). Thecourse modification was made in the Fall ’14 and implemented in the Spring ’15. The reportedresults

Collection

2001 Annual Conference

Authors

Raul Ordonez; Hong Zhang; Ravi Ramachandran; Stephanie Farrell

control which aresummarized below.Proportional-integral-derivative (PID) controllers Figure 1: A general block diagram of a control system A general block diagram of a control system is shown in Figure 1. All signals and systemfunctions are labeled as a function of the Laplace transform variable s [2]. The input and outputsignals are denoted by X(s) and Y(s) respectively. The plant is denoted by G(s). The controller isdenoted by K(s) and the feedback loop has a system function H(s). The transfer function of thesystem is given by T(s) = (K(s) G(s)) / ( 1 + K(s) G(s) H(s) ).A PID controller has a system function K(s) = (K1 + K2s + K3/s) where K1 is the proportionalgain, K2 is the derivative gain and K3 is the integral

Conference Session

Learning Outside the Classroom

Collection

2011 ASEE Annual Conference & Exposition

Authors

Brian A. Burt, University of Michigan; Donald D. Carpenter, Lawrence Technological University; Cynthia J. Finelli, University of Michigan; Trevor Scott Harding, California Polytechnic State University, San Luis Obispo; Janel A. Sutkus, Carnegie Mellon University; Matthew Holsapple, University of Michigan; Robert M. Bielby, University of Michigan; Eunjong Ra, University of Michigan

Tagged Divisions

Educational Research and Methods

Division of ASEE and guest co-editor for a spe- cial issue of the International Journal of Engineering Education on applications of engineering education research.Trevor Scott Harding, California Polytechnic State University Dr. Trevor S. Harding is Chair and Professor of Materials Engineering at California Polytechnic State UniversitySan Luis Obispo where he teaches courses in biomaterials, solidification metallurgy, tribology and life cycle design. Dr. Harding has published numerous manuscripts in the area of ethical development of engineering undergraduates through application of psycho-social models of moral expertise. He also conducts research in student motivation, service learning, and project-based learning. His

Conference Session

Energy Conversion and Conservation Division Technical Session 1: Mechanical and CAD Track

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Nina T. Jones, University of Florida; Sean R. Niemi, University of Florida; Matthew J. Traum, Engineer Inc.

Tagged Divisions

Energy Conversion and Conservation

error bars was conducted.For each set of data, the following was determined and plotted: 1) the average of the 12 averagemeasurements, 2) the average of the 12 maximum measurements, 3) the average of the 12minimum measurements, 4) the maximum of the 12 maximum measurements, 5) the minimum ofthe 12 minimum measurements, 6) and ± 2 standard deviations of the average (Fig. 10). 1s 5s 10 s 25 s 1 minute 12.5 12.5 12.5 12.5 12.5 12 12 12 12 12

Conference Session

NSF Grantees Poster Session

Collection

2011 ASEE Annual Conference & Exposition

Authors

James Boerio, University of Cincinnati; Dionysios D. Dionysiou, University of Cincinnati; Ian Papautsky, University of Cincinnati; Miguel Pelaez, University of Cincinnati; Mark Schulz; Christopher Huth; Vesselin N. Shanov, University of Cincinnati; Donglu Shi, University of Cincinnati

Tagged Topics

NSF Grantees

nanostructured materials, nano biomedicine, and superconductors. Page 22.1093.2 c American Society for Engineering Education, 2011 Nanotechnology in Undergraduate Education: Development of Experimental ModulesIntroduction This paper discusses the development of experimental modules to provide hands-onexperience for undergraduate students interested in nanoscale science and technology in theCollege of Engineering and Applied Science (CEAS) and the College of Arts and Sciences(A&S) at the University of Cincinnati. The modules

Collection

1998 Annual Conference

Authors

Thomas F. Schubert Jr.; Kathleen A. Kramer

exercises. [1] While mathematical simulationproved a very effective laboratory topic for communication systems, student (and instructor)knowledge of the particular mathematical simulation package, in this case Mathcad, became abarrier to some. Those students who were less adept in the use of Mathcad were forced to devoteas much effort to understanding the particulars of the tool as they were to understanding thesystems and principles they were attempting to simulate. Fourier Transform Exercises X( t ) cos( 5. ( 2. S. t ) ) 0.6. sin( 12. ( 2. S. t ) ) The function definition tstart 0 tstop 30

Collection

1998 Annual Conference

Authors

John E. McInroy; Jerry Hamann; Raymond Jacquot

) x3(t) N S S N K2/2 Coil K2/2 X From Steam Generator Valve Page 3.213.2Figure 1. Thermal Chamber System to be ControlledThe governing differential equations for the temperature perturbations are dx 1 = −x 1 + x 2 dt dx 2 = x 1 − 2x 2 + 2 x 3 + w ( t ) (1) dt dx 3

Collection

1998 Annual Conference

Authors

Edgar N. Reyes; Dennis I. Merino; Carl W. Steidley

population genetics, among them robustness andefficiency. Features of biological systems found in genetic algorithms include reproduction, self-guidance, self-repair, the nature of survival of the fittest, and variation through mutation. Geneticalgorithms were developed by John Holland of the University of Michigan in the 1970's. Many ofthe essential properties of genetic algorithms discussed in this paper can be found in [1, 2].When a genetic algorithm is used to find an optimal solution in the space of all feasible solutions,the algorithm maintains a population (or set) of feasible solutions which evolve through randomprocess based on principles found in the mechanics of natural selection and genetics. Each time thisset of solution evolves (or as

Conference Session

Multidisciplinary Engineering Division (MULTI) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Johanna Bodenhamer, Indiana University-Purdue University Indianapolis; Corinne C. Renguette, Indiana University-Purdue University Indianapolis; Robert Weissbach, Indiana University-Purdue University Indianapolis

Tagged Topics

Diversity

Tagged Divisions

Multidisciplinary Engineering Division (MULTI)

technical writing skills in STEMdisciplines is well documented. Solutions have been proposed, implemented, and inconsistently sustained.One approach to improving disciplinary technical writing is through Writing Assignment Tutor Trainingin STEM (WATTS). WATTS is an interdisciplinary, collaborative approach in which STEM faculty workwith writing centers and generalist peer tutors to provide just-in-time assignment-specific feedback tostudents. WATTS research was funded by an NSF IUSE collaborative grant (award #s 2013467,2013496, & 2013541). In WATTS, the STEM instructor collaborates with the writing center supervisorand prepares materials for the tutor-training including assignment examples, a glossary of terms, areas ofconcern, and the

Conference Session

Mathematics Potpourri

Collection

2005 Annual Conference

Authors

Bruno Osorno

field andequations can be of integral and/or Gauss’s law for Magnetic fields.differential form. We are presenting themhere for future reference. ∫ D • dS = ∫ ρdv s v (5)The first one is Faraday’s law Again, this equation reads as follows; the flow of charges in a wire creates a flow of d∫ E • dl = − dt ∫ B • dSc s (1) current in a wire

Conference Session

Thermodynamics and Fluid Mechanics Instruction

Collection

2007 Annual Conference & Exposition

Authors

Stephen McClain, Baylor University; Christopher Smitherman, University of Alabama-Birmingham

Tagged Divisions

Mechanical Engineering

Thermodynamic properties of PropaneSteamProps.mcd Thermodynamic properties of water and moist airPhase Change SubstancesA consistent naming scheme was chosen for the phase change fluids. The function calls for R-22, ammonia, and propane begin with the variable to be determined, followed by an underscore,followed by the independent property(s), followed by a fluid identifier (R22, NH3, or C3H8),followed finally by the values of the independent property(s) in parenthesis. Figure 1 presentsthe format of function calls for the phase change substances. The functions require that allindependent properties be entered with the appropriate absolute units. a_bc XX (b, c) Returned

Collection

1997 Annual Conference

Authors

Martha E. Sloan

computersavailable to them but have witnessed their growth and distribution. This paper reviews the historyof the changes in electrical engineering departments in the United States to incorporatecomputers. It ends with projections into the next century of the challenges ahead.II. The Early Years (Before 1960) The early years of computers coincided with rapid growth in many other areas ofelectronics to which electrical engineering departments, as they were then almost universallycalled, had to adapt. World War II saw great advances in radar and a recognition of the need formore research and graduate education, which greatly impacted electrical engineering departmentsin the 1940's and 1950's. The need for education in electronics gradually crowded out

Conference Session

Computed Simulation and Animation

Collection

2006 Annual Conference & Exposition

Authors

Michael Maixner, U.S. Air Force Academy

Tagged Divisions

Computers in Education

Applications sliding toolbars which allow a smooth variation of property values. Properly used by students, these worksheets have the potential to reinforce and enhance understanding of the fundamental interrelationships among various properties; students are free to change various parameters such as pressure, temperature, and quality, and immediately view the effect of these changes on the associated Mollier and T-s diagrams. Students may quickly visualize the effect of these changes, rather than being mired in the minutiae of table lookups, interpolation, transcription, and manual plotting. An additional benefit of the rapid and very accurate plotting of thermodynamic properties is a better

Collection

2019 ASEE Midwest Section Conference

Authors

Yeshaswini Baddam; Md. Nizam Uddin; Thisath Don; Eylem Asmatulu

essentially turnout to be increasingly broad with more applications crosswise over biomedical, aviation, as wellas defense industries. Here three of the engineering students, also authors of this study reviewed3D and 4D printing technologies. The undergraduate student has used these research activities forhis Engineer of 2020 requirements. Overall, these studies greatly benefit undergraduateengineering students for their future academic studies at different institutions.References1. Goh, G. D., Agarwala, S., Goh, G. L., Dikshit, V., Sing, S. L., & Yeong, W. Y. (2017). Additive manufacturing in unmanned aerial vehicles (UAVs): Challenges and potential. Aerospace Science and Technology, 63, 140-151.2. Sundaram, M. M., Kamaraj, A. B

Conference Session

International Poster Session

Collection

2011 ASEE Annual Conference & Exposition

Authors

Alireza Rahrooh, Daytona State College ; Robert De la Coromoto Koeneke, Daytona State College; Walter W. Buchanan, Texas A&M University

Tagged Divisions

International

difference between the system set point value and the systemoutput. The controller output signal is Proportional to: the error, the Integral of the error, andthe Derivative of the error. The PID has the following form3: 1 u( s) K[1 Td s] (1) Ti swhere K is the proportional gain, Ti is the integral time, and Td is the derivative time. There aretimes when the derivative portion of the PID controller is not needed for satisfactory systemcontrol. A PI controller is capable to provide satisfactory control for first order systems.However, higher order systems are controlled via PID controller. The system to be controlled inthis paper is third

Conference Session

Experimentation and Laboratory-Oriented Studies Division (DELOS) Technical Session 4: Bring Your Own Experiments +

Collection

2023 ASEE Annual Conference & Exposition

Authors

Huiran Jin, New Jersey Institute of Technology; Laramie Potts, New Jersey Institute of Technology

Tagged Divisions

Experimentation and Laboratory-Oriented Studies Division (DELOS)

pedagogical content knowledge for undergraduate engineering and technology programs: Accelerating graduates’ preparedness for the 4IR geospatial industryAbstract:Surveying engineering technology (SET) and Geomatics (S/G) programs have significantly beenimpacted by advances of three-dimensional (3D) geospatial data acquisition technologiescoupled with innovation in computational infrastructure over the past decade. Today, large-volume 3D data in the form of point clouds, meshes, or other representations, are frequentlycollected by sensors such as Light Detection and Ranging (LiDAR) and depth cameras for bothindustrial purposes and scientific investigations. Traditional surveying techniques are more oftenintegrated with the

Conference Session

Engineering Libraries Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Kelly Peterson-Fairchild, Dixie State University; John Burns, Dixie State University

Tagged Divisions

Engineering Libraries

support to continue to beembedded in specialized fields such as engineering, especially as the institutions expands andgrows programs.Conclusion(s)A new subject liaison can learn a good deal about collection development by reading seminalworks such as the book edited by Conkling and Messer. The article by Brin [8] is particularlyuseful for libraries such as DSU’s, given that it focuses on medium-sized libraries buildingcollections to support new programs. However, these often assume at least a basic level ofknowledge of the discipline on the part of the liaison and a generous level of funding. The DSUlibrary’s experience was different and may help others in similar circumstances. The library deanand subject liaison successfully worked with

Conference Session

Online, Hybrid, and other Virtual Learning Environments

Collection

2016 ASEE Annual Conference & Exposition

Authors

Zhou Zhang, Stevens Institute of Technology (School of Engineering and Science); Mingshao Zhang, Stevens Institute of Technology (School of Engineering and Science); Yizhe Chang, Stevens Institute of Technology (School of Engineering and Science); Sven K. Esche, Stevens Institute of Technology (School of Engineering and Science); Constantin Chassapis, Stevens Institute of Technology (School of Engineering and Science)

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

Education, 2016 123rd ASEE Annual Conference and Exposition New Orleans, LA, USA, June 26-29, 2016 Zhang, Z., Zhang, M., Chang, Y., Esche, S. K. & Chassapis, C. A Virtual Laboratory System with Biometric Authentication and Remote Proctoring Based on Facial Recognition Zhang, Z., Zhang, M., Chang, Y., Esche, S. K. & Chassapis, C.AbstractVirtual laboratories are used in online education, corporate training and professional skilldevelopment. There are several aspects that determine the value and effectiveness of virtuallaboratories, namely (i) the cost of development which includes the cost of