Conference Session

Faculty Development 1: Social Justice Research

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Patricia Morreale, Kean University; Ann C. Gates, University of Texas at El Paso; Elsa Q. Villa, University of Texas at El Paso; Sarah Hug, Colorado Evaluation and Research Consulting

Tagged Topics

Diversity

Tagged Divisions

Faculty Development Division

of Excellence that ad- vances interdisciplinary education and research. She served on the Naval Research Advisory Committee (2016-2018) . Gates received the 2021 Alfredo G. de los Santos Jr. Distinguished Leadership Award, the 2015 Great Minds in STEM’s Education award, the CRA’s 2015 A. Nico Habermann Award, the 2010 Anita Borg Institute Social Impact Award, and the 2009 Richard A. Tapia Achievement Award for Sci- entific Scholarship, Civic Science, and Diversifying Computing. She was named to Hispanic Business magazine’s 100 Influential Hispanics in 2006 for her work on the Affinity Research Group model.Dr. Elsa Q. Villa, University of Texas at El Paso Elsa Q. Villa, Ph.D., is a research assistant

Conference Session

Entrepreneurship and Engineering Innovation Division Technical Session 5

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Maria-Isabel Carnasciali, University of New Haven; Cheryl Q. Li, University of New Haven; Nadiye O. Erdil, University of New Haven; Ronald S. Harichandran, University of New Haven

Tagged Divisions

Entrepreneurship & Engineering Innovation

their motivations, identity development, and impact of prior engineering-related experiences. Her work dwells into learning in informal settings such as summer camps, military experiences, and extra-curricular activities. Other research interests involve validation of CFD models for aerospace and industrial applications, as well as optimizing efficiency of thermal-fluid systems.Dr. Cheryl Q. Li, University of New Haven Cheryl Qing Li joined University of New Haven in the fall of 2011, where she is an Associate Professor of Mechanical Engineering. Cheryl earned her first Ph.D. in Mechanical Engineering from National Uni- versity of Singapore in 1997. She served as Assistant Professor and subsequently Associate

Collection

2021 ASEE St. Lawrence Section Conference

Authors

Chelsea Q Linvill, United States Military Academy Department of Geography & Environmental Engineering; Benjamin Michael Wallen P.E., United States Military Academy; Andrew Ross Pfluger, United States Military Academy; Michael A. Butkus P.E., United States Military Academy

Paper ID #35294Incorporation of Best Practices in Environmental Engineering Educationto Maximize Student Engagement and Instructor EfficiencyChelsea Q Linvill, United States Military Academy Department of Geography & Environmental Engineer-ingDr. Benjamin Michael Wallen P.E., United States Military Academy Benjamin Wallen is a Lieutenant Colonel in the United States Army and an Associate Professor in the Department of Geography and Environmental Engineering at the United States Military Academy. He is also the Dean’s Fellow for Remote Teaching and Distance Learning - Best Practices. He is a 1996 graduate of the United

Collection

ASEE 2021 Gulf-Southwest Annual Conference

Authors

Colin Michael Burdine, Baylor University (Student)

The Wasserstein Distance LikelihoodThe Wasserstein metric, or “Earth Mover’s Distance” (EMD) has been shown to be a robust metric that providesan intuitive notion of distance between probability distributions. Physically it can be interpreted as the minimalamount of “work” required to transform one “pile of dirt” into another, where “work” is defined as an amountof mass moved times the distance itRis moved. Suppose R we have two piles of dirt given by the functions p(x) andq(x) defined on some set X , where X p(x) dx = X q(x) dx > 0, then we could devise any number of strategiesby which we could transform the mass under the curve of p(x) into that of q(x). Let Γ(p, q) denote the space

Conference Session

Microsoft Teams, Deep Learning, and Classroom Flipping

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Paul M. Kump, SUNY Maritime College

Tagged Divisions

Ocean and Marine

then to observe how long it takes students with these negative perspectivesto change them, if ever, while also observing differences in perspectives between license students andintern students, if any.The survey was partitioned into three sections. The purpose of Section I, with only one question Q 1.1(referencing Figure 4), was to acquire the necessary information to separate the surveys into the licenseand intern datasets while preserving student anonymity. The purpose of Section II of the survey was tounderstand students’ perspectives and attitudes of the learning process in general as related toclassroom flipping. The purpose of Section III was to understand the students’ perspectivesspecifically in ENGR 383, especially regarding ABET and

Collection

2018 Public Policy Colloquium

Authors

Kumar Garg

Students as ChangemakersKumar GargSenior Fellow, Society for Science & the PublicFormerly Senior Advisor, White House Office of Science and Technology Policy 1 Outline Resonant Themes Lessons LearnedKeeping Eye on Equity Q&A 2HonorofaLifetime 3 ResonantThemesHands-on, or bust. CS + X.Citizenship in 2018. 4 BuildingCross-SectorPartnerships• Set a self-evident goal • Think of the end at the beginning. • Write it down. Make it happen.• Build an “imagine-if” list • Entrepreneur is someone who is not limited by the

Collection

2003 GSW

Authors

Mostafa Ghandehari; Samee Ullah Khan

their union is regular.IntersectionIf L1 and L2 are two regular languages, then their intersection is regular.⇒ ∃ Deterministic Finite Automata (DFA)1 M 1 and M 2 such that L1 = L( M 1 ) and L2 = L( M 2 ) ,where M 1 = (Q, ∑ , δ 1 , q0 , F1 ) , M 2 = ( P, ∑ , δ 2 , p0 , F2 ) . , ∑ ,δ 'Construct M '= (Q' ) , where Q'= (Q × P ) and , (q 0 , p0 ), F 'δ '((qi , p j ), a) = (q k , pl ) if w ∈ L( M ') ⇔ w ∈ L1 ∩ L2 .ConcatenationIf L1 and L2 are two regular languages, then the concatenation L1 L2 is regular.ComplementIf L is a regular language, then the complement L is regular.⇒ ∃ DFA M such that L = L( M ) . Construct a DFA M 'such that the final states in M arenon-final states in M 'and

Conference Session

Entrepreneurship & Engineering Innovation Division Technical Session 7

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Sandra Furnbach Clavijo PE P.E., Stevens Institute of Technology (School of Engineering and Science); Kishore Pochiraju, Stevens Institute of Technology (School of Engineering and Science)

Tagged Divisions

Entrepreneurship & Engineering Innovation

prepare anelevator pitch based on the two-semester-long capstone design project as part of a companioncourse called Senior Innovation. The competition starts in class and then moves to extra-curricular rounds for cash prizes. The semi-finals and finals were traditionally held as 3-minutelive pitches made in front of a panel of judges with a follow-up of 2 minutes of question andanswer (Q&A) period. Due to COVID-19, Stevens went entirely online after seven weeks of in-person classes in the Spring semester. While coaching can be online, the elevator pitchcompetition required a new format for the pitch competition.Conducting live-video pitches has the risk that an internet connectivity disruption during thepresentation can scuttle a perfectly

Conference Session

Engineering Technology Curriculum and Programs

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Riem Rostom, Indiana State University; Sheikh Fahad Ferdous, Indiana State University; A. Mehran Shahhosseini, Indiana State University

Tagged Topics

Diversity

Tagged Divisions

Engineering Technology

. Instructors’ names were abbreviated asRR, MS, and SF. RR’s course evaluation methods include attendance and participation (Att&P),assignments and quizzes (A&Q), two term exams & a comprehensive final exam (E), groupproject (P). For fall 2017 on campus: Att&P 15%, A&Q 30%, E 40%, and P 15%. For fall 2017online: Att&P 10%, A&Q 35%, E 50%, and P 10%. For the fall 2019 online: Att&P 10%, A&Q30%, E 45%, and P 15%. MS’s course evaluation methods include attendance and participation(Att&P), assignments and quizzes (A&Q), mid-term exam & a comprehensive final exam (E),two group projects (P). For fall 2018 and 2019 on campus: Att&P 5%, A&Q 20%, E 45%, and P30%. SF’s course evaluation methods include

Conference Session

Computing and Information Technology Division Technical Session 7

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Robin K. Hill, University of Wyoming

Tagged Divisions

Computing and Information Technology

assistance for understanding theories, astheir role is instrumental. Such descriptions must be carefully qualified with the warning thatethics is not actually computable; no mechanical procedure exists for making ethicaldecisions.Normative Theories as Subroutine HeadingsEthical theories sketched as function headings outlne high-level decision procedures suitable forcarrying out by a human agent, with input and output parameters (given as types). An example ofa function heading is the description of Consequentialism (“right and wrong depend onoutcomes”) as a subroutine that produces action-scores as output, given as input both anethical quandary Q and some knowledge of how the world works (to enable the computation ofoutcomes):action-scores

Collection

1981 North Midwest Section

Authors

Richard L. Witz; Charles W. Moilanen

G) _______________,__NNCA 1000 ohms 115 VAe 115VAe 3.1 VAe 3.1 voe • .... 0 12 voe OFF 12 VAe Overload Switch Res et DIAGRAM #2 + ~~1-Q ~ SCR

Conference Session

Biomedical Engineering Division Poster Session (Works in Progress)

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Amy N. Adkins, Northwestern University; David P. O'Neill, Northwestern University; Casey Jane Ankeny, Northwestern University

Tagged Divisions

Biomedical Engineering

q Includes statements about course content q Evaluates what the student (individually) has 1. What do you believe 1. What do you believe you learned you have and have not have and have not learned q Evaluates what the student (individually) has not learned and achieved in and achieved in this learned this assignment? assignment

Conference Session

Reassessing Your Teaching Through Turmoil

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Vikash V. Gayah, Pennsylvania State University; Sarah E. Zappe, Pennsylvania State University; Stephanie Cutler, Pennsylvania State University

Tagged Topics

Diversity

Tagged Divisions

Civil Engineering

transportation engineering with lecture and laboratorycomponents at the Pennsylvania State University. Specifically, the study seeks to determine howthe transition to remote instruction impacted student perceptions of the learning environment asit relates to the development of their professional expertise. Students’ perception on the learningenvironment was measured using the Supportive Learning Environment for ExpertiseDevelopment Questionnaire (SLEED-Q) [1]. The SLEED-Q was administered to students in Fall2018 and Fall 2019 (normal instruction) and compared with responses obtained from Fall 2020(remote instruction). Prior data (2018, 2019) was collected for baseline comparison as part of alarger curricular revision project to examine the impact of

Collection

2003 GSW

Authors

H. Dwayne Jerro; Chun-Ling Huang; Patrick Mensah

: refrigerant R-134a Compressor inlet temperature: Tin = -12°C (saturated vapor) Compressor outlet temperature: Tout = 50°C Compressor outlet pressure: Pout = 600 kPa Mass flow rate of substance: m& = 2.5 kg/s Compressor input power: W& = 130 kW Proceedings of the 2003 ASEE Gulf-Southwest Annual Conference The University of Texas at Arlington Copyright © 2003, American Society for Engineering EducationFind: Heat lost during the process: Q& loss = Q& out = ?Solution

Conference Session

Teaching Methodology & Assessment 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Sharanabasaweshwara Asundi, Old Dominion University; Miltos Kotinis

Tagged Divisions

Aerospace

instructor was effective in keeping you motivated for completing the course?• What was most helpful in transitioning from In Class to Online instruction (Describe)?• What was most non-helpful in transitioning from In Class to Online instruction (Describe)? The scale used for assessing the participants’ timely action in watching the assigned videosindicated that ~75% of them watched them on time (Figure 3). A significant percentage of theparticipants indicated that they felt confident after watching the assigned videos (Figure 3). Q. Did you watch the assigned videos on time Q. How do you feel about watching videos to (Choose one)? understand the material (Choose one

Collection

2007 North Midwest Section Meeting

Authors

Nihad E. Daidzic; Vojin R. Nikolic

legends for the charts shown in Figures 6 through 12 are as follows. SA Strongly Agree A Agree M Mixed feelings D Disagree SD Strongly disagree Those of Figure 13 are: VF Very fast RF Rather fast JR Just right S Slow VS Very slow 142007 ASEE North Midwest Section Conference, Educating Engineers for a Sustainable Future, September 20-22, 2007 Figure 6: Survey Q&A - Aerospace summer camp organization was good! Figure 7

Collection

2008 GSW

Authors

Amir Karimi

. Basic Heat Exchanger Analysis FormulasIn undergraduate heat transfer courses students are introduced to two different methods used inthe analysis and design of heat exchangers. They are Logarithmic Mean Temperature Difference(LMTD) method and Effectiveness-NTU methods. In a heat exchanger the flow heat capacityrate, in general, is defined as C = m& c p (1)where, m & denotes the mass flow rate and cp represents the specific heat of a given fluid stream.The rate of heat transfer from or to each fluid stream can be calculated from the followingrelation q = Ch (Th,i − Th,o ) = Cc (Tc,o − Tc,i ) (2)where, q is the rate of heat

Collection

2009 GSW

Authors

Amir Karimi

. For more complex fin configurations,only efficiency charts are provided in most heat transfer textbooks1-15. Analysis for fins ofvariable cross-sectional areas or annular fins results in more complex differential equations. Thesolutions for temperature distribution involve complex functions such as Bessel functions. Theanalyses for these types of fins are not typically fully covered in an introductory heat transfercourse. Instead the results are shown in the form of fin efficiency charts.The fin efficiency is defined as q q act η f = act = (1) q max hA(To − T∞ )where To and T∞ are the temperature at the base

Collection

2008 GSW

Authors

Santiago Cruz-Bañuelos

undergraduate student, Reddy [6] presents the FEM formulation forthe heat conduction with convection in a bar of variable transversal section is a very motivateand interesting problem to solve, this kind of problem is modeled by (1) d ⎛ d T ⎞ ⎡ h p(x )⎤ − ⎜k ⎟+ (T − T∞ ) − Q(x ) = 0 a≤ x≤b (1) d x ⎜⎝ d x ⎟⎠ ⎢⎣ A( x ) ⎥⎦ Proceedings of the 2008 ASEE Gulf-Southwest Annual Conference The University of New Mexico – Albuquerque Copyright © 2008, American Society for Engineering EducationWhere A( x ) and p (x ) are the section transversal area and the perimeter of the bar,respectively, at any point x ; Q( x ) is the

Collection

2021 Northeast Section Meeting

Authors

Tyler Locke; Lucas Faria de Sa Tucker; Haridas Kumarakura; Don Heiman

oscillator circuit is composed of an to be different from those of the two oscillators [8].inductor, a capacitor and some form of resistor wiredin a loop in series (an LRC circuit). By Kirchhoff’slaws, the sum of the voltages across each componentmust be zero. This gives the following equation: q dI IR + +L =0 (1) Figure 1: Two mass-spring mechanical oscillators C dt coupled with a coupling spring. Where q is the capacitor charge, and I = dqdt is Let x1 and x2 be the position of both massesthe current. This can be converted to the following

Conference Session

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

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Robert J. Kerestes, University of Pittsburgh; Anthony M. Popovski, University of Pittsburgh; Feng Xiong, University of Pittsburgh

Tagged Divisions

Energy Conversion and Conservation

exposure.ModulesTen modules were developed for the purpose of instructing students how to approach and useCOMSOL Multiphysics with the classkit license, as well as strengthen their understanding ofelectromagnetic concepts taught in class. The ten modules can be organized into three separateprojects: • Demonstration of Ampère’s Law (Six Modules) • Demonstration of Electric Fields and Shielding (Two Modules) • Demonstration of Q and V Methods for Determining Capacitance (Two Modules)These projects guide the student through the creation of 2D and 3D geometries, the assigning ofmaterial properties and physical boundary conditions, the performing of a study, and the analysisof the results.Earlier modules provide more details and step-by-step

Collection

2007 North Midwest Section Meeting

Authors

John P. Iselin

surface of the water and then again at the exit; noting that thepressures at both locations is atmospheric and that the velocity of the water at the surface isnegligible, the analysis yields Torricelli’s equation for the velocity V at the exit as a function ofthe acceleration due to gravity g and the height h of the free surface from the bottom of thecan: q V = 2ghsubstituting this into the conversation of the mass for a incompressible fluid dV = V Ad dtwhere V is the volume and Ad is the exit hole area, and finally

Collection

2007 North Midwest Section Meeting

Authors

Zhanping You

." ASCE J. Engng. Mech., 123(5), 495-503.Chang, G. K., and Meegoda, J. N. (1999). "Micro-mechanic Model For Temperature Effects of Hot Mixture Asphalt Concrete." J. Trans. Res. Record National Research Council, Washington, D.C., 1687, 95-103.Collop, A. C., McDowell, G. R., and Lee, Y. (2004). Use of the distinct element method to model the deformation behavior of an idealized asphalt mixture, Taylor & Francis Limited.Collop, A. C., McDowell, G. R., and Lee, Y. (2006). "Modelling dilation in an idealised asphalt mixture using discrete element modelling." Granular Matter, 8(3-4), 1434-5021.Dai, Q., and You, Z. (2006). "Prediction of Creep Stiffness of Asphalt Mixture with Micromechanical Finite

Conference Session

Student Division Technical Session 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Mehdi Lamssali, North Carolina Agricultural & Technical State University; Olivia Kay Nicholas, RAPID; Alesia Coralie Ferguson, North Carolina A&T State University; Andrea Nana Ofori-Boadu, North Carolina Agricultural and Technical State University; Angela M. White, NC A&T State University

Tagged Topics

Diversity

Tagged Divisions

Student

or deductive coding. This manual theming was supplemented using theNVIVO software to identify common words and phrases leading to any additional or missedthemes. Throughout this process, discussions and checks were conducted with the research teamfor agreement on final themes. Table 1: Interview questions with faculty Question Question No. Q.1 Tell me about yourself. Q.2 Explain how and why COVID pandemic impacted the functioning and behavior of your STEM students. Q.3 Explain how and why COVID pandemic impacted the performance of your STEM students. Q.4 Explain how and why you responded to changes in STEM student

Conference Session

Computing and Information Technology Division Technical Session 5

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Mohammad Rafiq Muqri, DeVry University, Ontario, CA

Tagged Divisions

Computing and Information Technology

equation is defined as the order of the highest derivative appearing in the equation and ODE can be of any order. A general form of a first-order ODE can be written in the form dy/dt + p(t)y + q(t) + s = 0 where p(t) and q(t) are functions of t. This equation can be rewritten as shown below d/dt(y) +y p(t) = - q(t) - s where s is zero. A classical integrating factor method can be used for solving this linear differential equation of first order. The integrating factor is e∫p dt . Euler Method Graphical methods produce plots of solutions to first order differential equations of the form y’ = f(x,y), where the derivative appears on the left side of the equation. If an initial condition of the form y(x0) = y0 is also specified, then the only solution

Conference Session

NSF Grantees Poster Session

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Alexandra Gendreau Chakarov, University of Colorado Boulder; Jeffrey Bush, University of Colorado Boulder; Quentin Lee Biddy, University of Colorado Boulder; Jennifer Jacobs, University of Colorado Boulder; Mimi Recker, Utah State University; Tamara Sumner, University of Colorado Boulder

Tagged Topics

NSF Grantees Poster Session

,teachers reported that their students returned the equipment in good condition. Second, theexpanded resource library addressing common challenges will provide additional support forstudents who take part in the sensor immersion unit in their classrooms. These resources mayenable them to more successfully and independently tackle difficulties that arise during theirinvestigations. Lastly, developing shared norms around small group communication remainsrelevant no matter the context. Regardless of whether instruction takes place remotely or inperson, student discourse is a critical element of the sensor immersion unit and teachers nowhave a wider variety of tools and skills to promote student-student conversations.References1. Biddy, Q., Gendreau

Conference Session

Social Justice: Pedagogy, Curricular Reform, and Activism

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Joseph Valle, University of Michigan - Ann Arbor; Israa Ali, University of Michigan ; Corin L. Bowen, California State University, Los Angeles; Donna M Riley, Purdue University at West Lafayette (COE)

Tagged Topics

Diversity

Tagged Divisions

Liberal Education/Engineering & Society

Collection

2010 North Midwest Section

Authors

Harry C. Petersen

hu ss de rs d Q In

Conference Session

Construction Engineering Division Technical Session 4

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Chengyi Zhang P.E., University of Wyoming; David Arditi, Illinois Institute of Technology; Peng Liu

Tagged Divisions

Construction Engineering

, "land-based integrated systems for mapping and gis applications," Survey Review, vol. 36, no. 283, pp. 323-339, 2013.[19] Y. Wang, Q. Chen, Q. Zhu, L. Liu, C. Li, and D. Zheng, "A survey of mobile laser scanning applications and key techniques over urban areas," Remote Sensing, vol. 11, no. 13, p. 1540, 2019.[20] P. Rieger, N. Studnicka, and M. Pfennigbauer, "RIEGL Laser Measurement Systems GmbH," Geoinformatics, 2014.[21] W. Uddin, "Airborne Laser Terrain Mapping for Expediting Highway Projects: Evaluation of Accuracy and Cost," Journal of Construction Engineering & Management, vol. 134, no. 6, pp. 411-420, 2008.[22] C. Y. Zhang, D. Arditi, and Z. Chen, "DOCUMENTATION AND VISUALIZATION OF

Collection

2021 ASEE St. Lawrence Section Conference

Authors

Michael Shenoda, State University of New York, College of Technology at Farmingdale

resources: (1)Lumen Learning’s “Annual OER Report Card” [27] and (2) the Open Textbook Network’sGuidebook to Research on Open Educational Resources Adoption [28]. They evaluate theperceptions of cost, student and faculty use, and effectiveness of OER among students. Thesurvey questions used are outlined in Table 4.Table 4. Survey questions for evaluation of impacts of OER implementation. Q# Question 1 In general, how often do you purchase the required texts for the courses you take? 2 How much do you typically spend on texts each semester? 3 For a typical course, how often do you use the required texts? 4 Did you purchase any texts for this course? 5 How much did you spend on texts for this course? (If yes to Q#5) 6 Why did you