Collection

1998 Annual Conference

Authors

James A. Liggett; David A. Caughey

given by the relation L V2 hf f , (4.1) d 2gwhere V is the mean flow velocity, g is the acceleration of gravity, and f is the (Darcy-Weisbach) friction factor. The friction factor is a function only of the non-dimensionalroughness H / d of the pipe surface and the Reynolds number Re d Vd / Q , where Q is thekinematic viscosity of the fluid. The formula due to Colebrook2 provides an interpolationbetween the friction laws for smooth and rough pipes 1 §H / d 2.51 · 1/ 2

Conference Session

Undergraduate Research and New Directions

Collection

2002 Annual Conference

Authors

Charles Sullivan

]DWLRQ V\VWHP$ 8VH RI WKUHH GLPHQVLRQV IRU YLVXDOL]DWLRQ RI YROWDJH$Q H[SHULHQFHG HOHFWULFDO HQJLQHHU FDQ ORRN DW D FLUFXLW GLDJUDP DQG LPPHGLDWHO\ ³VHH´ WKDW WKHYROWDJH GLIIHUHQFHV DFURVV WZR SDUDOOHO HOHPHQWV DUH WKH VDPH ZKHUHDV D EHJLQQLQJ VWXGHQW PD\QHHG WR GHILQH YDULDEOHV ZULWH DQ H[SOLFLW .LUFKRII¶V 9ROWDJH /DZ .9/ HTXDWLRQ DQG RIWHQWKHQ FRUUHFW WKH VLJQ HUURUV PDGH LQ WKHVH VWHSV LQ RUGHU WR DUULYH DW WKH VDPH FRQFOXVLRQ+HOSLQJ VWXGHQWV JDLQ LQWXLWLRQ IRU .9/ LV LPSRUWDQW WR KHOSLQJ WKHP JHW WR D KLJKHU OHYHO RI Page 7.1206.2 3URFHHGLQJV RI WKH $PHULFDQ 6RFLHW\ IRU (QJLQHHULQJ (GXFDWLRQ $QQXDO &RQIHUHQFH ([SRVLWLRQ

Collection

2025 Northeast Section Conference

Authors

Shruti Brahma, University of New Haven; Siddhant Alhat Rajendra, University of New Haven; Ardiana Sula, University of New Haven

-series statistical overview of the ARIMA approach and recurrent neural net-works (RNNs), specifically long-short-term memory (LSTM) TABLE Imodels are as follows. P ROJECTED G ROWTH R ATE S CENARIOS (OVERALL USA)A. Building Our Model: ARIMA and LSTM Growth Rate Type Value To create the ARIMA model, we first specify an (p, d, q) Average Growth Rate 0.0345 (3.45%)configuration and fit it to the enrollment data.The tuple (5,1,0) Maximum Growth Rate (Optimistic) 0.1146 (11.46%)represents

Conference Session

Computing Technology Session 1

Collection

2017 ASEE Annual Conference & Exposition

Authors

Pedro Arturo Espinoza, University of Texas, El Paso; Mike Thomas Pitcher, University of Texas, El Paso; Oscar Antonio Perez, University of Texas, El Paso; Hugo Gomez, University of Texas, El Paso; Randy Hazael Anaya, University of Texas, El Paso; Hector Erick Lugo Nevarez, University of Texas, El Paso; Herminia Hemmitt, University of Texas, El Paso; Peter Golding P.E., University of Texas, El Paso

Tagged Divisions

Computers in Education

questions, workingin groups and collaborating with each other. Additionally, 100% of instructors felt moreconnected with their students. Question 8 revealed that 60% of instructors felt that the roominspired their students to perform better academically. ResponsesforQuestions1-8 4 3 2 1 0 StronglyAgree Agree Neutral Disagree StronglyAgree Q.1 Q.2 Q.3 Q.4 Q.5 Q.6 Q.7 Q.8 Figure 6: Distribution of responses for all 8 questionsFigure 6 illustrates the overall distribution of responses for all eight Likert-type questions, whichclearly shows that no instructor

Collection

2010 ERC

Authors

Robert Morse

engineering school Why are the U.S. News Graduate Engineering Rankings Helpful to Consumers?q What does all of this mean in today’s global information marketplace?q U.S. News--over the last 25-years--has become a trusted, respected and unbiased source of engineering rankings and assessments that prospective engineering school students in the U.S. and worldwide turn to for reliable advice and guidance. Graduate Engineering Schools Ranking Factors: Inputs and Outputs w  A combination of inputs and outputs are used in  the Graduate Engineering ranking model that are a  mixture of statistical and opinion data. w  Inputs include:  n  Research activity  n  Faculty resources  n  Student selectivity w  Outputs include

Collection

1996 Annual Conference

Authors

Timothy Sexton

into the curriculum. However, due to its complexity, it must be implemented properly or it can be disastrous to your students. Page 1.449.1... .- . . .- {ti:b’~ 1996 ASEE Annual Conference Proceedings ‘...,~yy$: - ~Q how complex is “complex software”? To illustrate how complex a software can be, Figure 1 shows the number of manuals and pages that come with a typical CAD software. Keep in mind that each student will also have a theory text of about 600 pages and many drawing assignments. You can see that t; ‘e addition of CAD software to the first

Conference Session

Virtual and Web Learning in Chemical Engineering

Collection

2016 ASEE Annual Conference & Exposition

Authors

Jessie Keeler, Oregon State University; Thomas W Ekstedt, Oregon State University; Ying Cao, Oregon State University; Milo Koretsky, Oregon State University

Tagged Divisions

Chemical Engineering

recognizedthey needed to use the information in the graph to the right of the simulation. However, twodifferent errors caused Gerry to submit the wrong answer: Gerry: This is insulated which means Q is zero. So, ‘calculate the amount of work that the piston and block did on the system’. So as I can see in PV graph, this is [an] irreversible process, so the area under the PV curve will be the work that the piston did on the system. Since [the] system got the work, work will be a positive number. So I can just simply get the area under the curve which would be, I don’t know, 15 times 15? So 225 approximately.Figure 3. Procedural question from Work IVLGerry was correct that it is an irreversible process and that work is equal

Conference Session

Uses for MATLAB in Mechancial Engineering

Collection

2016 ASEE Annual Conference & Exposition

Authors

Shanon Marie Reckinger, Montana State University

Tagged Topics

Diversity

Tagged Divisions

Mechanical Engineering

responded in that category. Results are from Spring 2015 class.In both Spring of 2014 and 2015, the useful of the PLG sessions was very dependent on theindividual PLG leader. During both semesters, there was one PLG leader (PLGL1) whofollowed the exact procedure laid out in the methods section (15 minutes of Q&A, 45 minutes ofprepared exercise, 1 hour of work time). Additionally, each semester, the other PLG leader(PLGL2) did not follow the procedure and spent the majority of the time helping students withtheir assignments. PLGL1 had a small group of students who attended the sessions each week.These students were not struggling in the class, but actually using these sessions to enhance theiralready proficient level of understanding. PLGL2 had

Conference Session

Working at the Intersection of Industry and Academia

Collection

2019 ASEE Annual Conference & Exposition

Authors

Thomas M. Freeman, Michigan Technological University; Michelle E. Jarvie-Eggart, Michigan Technological University

Tagged Divisions

Continuing Professional Development

check your university’s policy on student communications. Turn around time forcommunication via email should be clearly stated to your students. Can they expect responseswithin 24 hours or 48? Check your faculty handbook as it may have guidelines about this. Thomdirects student questions about the course to a general course Q & A discussion board and/orvirtual office hours. Frequently encouraging the use of a general course Q & A discussion boardin your short videos and module introductions can save instructors time. All students enrolled ina class are able to view instructor answers to common course questions, which can reduce thenumber of emails, text or calls an instructor receives about general course questions. At the startof a

Conference Session

FPD 4: Peers and Perceptions

Collection

2014 ASEE Annual Conference & Exposition

Authors

Sudhir Kaul, Western Carolina University; Robert D. Adams, Western Carolina University

Tagged Divisions

First-Year Programs

Learning Outcome III Learning Outcome IV Q 1 2 3 4 5 Mean Q 1 2 3 4 5 Mean Q 1 2 3 4 5 Mean Q 1 2 3 4 5 Mean 1 24 22 1 2 0 1.61 3 23 20 5 0 1 1.69 4 11 26 9 3 0 2.08 5 18 27 3 1 0 1.73 2 33 15 0 0 1 1.39 6 22 25 2 0 0 1.59 9 15 22 10 2 0 1.98 8 27 19 3 0 0 1.51 13 29 19 1 0 0 1.43 7 27 21 1 0 0 1.47 10 27 20 2 0 0 1.49 15 25 20 3 0 1 1.61 14 5 6 4 16 18 3.73 12 25 22 1 1 0 1.55 11 22 24 1 1 1 1.67 20 32 16 1 0 0 1.37 17 13 28 8 0 0 1.90 19 23 22

Conference Session

Pedagogical Advancements in Engineering Management

Collection

2012 ASEE Annual Conference & Exposition

Authors

S. Jimmy Gandhi, Stevens Institute of Technology; Brian Sauser, Stevens Institute of Technology; Brian E. White, Complexity Are Us - Systems Engineering Strategies; Alex Gorod, Visiting Fellow, University of Adelaide; Vernon Ireland, University of Adelaide

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

. Harold A. Linstone, Decision Making for Technology Executives: Using Multiple Perspectives to Improve Per- formance, Boston and London: Artech House Publishers, 1999.8. The Massachusetts Institute of Technology (http://esd.mit.edu/); also, refer to SEAri (http://seari.mit.edu/)and LAI (http://seari.mit.edu/): http://search.mit.edu/search?q=case+studies&btnG=go&site=mit&client=mit&proxystylesheet=mit&output=x ml_no_dtd&as_dt=i&as_sitesearch=esd.mit.edu&ie=UTF- 8&ip=127.0.0.1&access=p&sort=date:D:L:d1&entqr=3&entsp=0&oe=UTF-8&ud=1&is_secure=.9. The Massachusetts Institute of Technology (http://sdm.mit.edu/): http://search.mit.edu/search?site=sdm&

Conference Session

ASEE Multimedia Session

Collection

2002 Annual Conference

Authors

Alfred Soboyejo

correlation between any pair of the output and the input random variablescan also be established. For example between any pair of input random variables, thestatistical correlation is: r pq ( X p , X q ) = cov( X p , X q ) VarX p .VarYq (1.10)where, cov(X p,Xq) is equal to the covariance function between the pair of the randomvariables X p and X q, where p¹q. When the cov(X p,Xq) becomes cov(Xp,Xq)=VarX p =VarXq , therefore the statistical correlation becomes r pq ( X p , X q ) = 1.0Statistical correlation is the degree of linear correlation between the pair of the randomvariables X p and X q. Perfect correlation therefore means that there is a linear relationshipbetween the pairs of random variables. This can only occur when the

Conference Session

Trends in Engineering Education 1

Collection

2014 ASEE Annual Conference & Exposition

Authors

Maura J. Borrego, Virginia Tech; Michael J. Prince, Bucknell University; Christopher Evan Nellis, Virginia Tech; Prateek Shekhar, Virginia Tech; Cindy Waters, North Carolina A&T State University; Cynthia J. Finelli, University of Michigan

Tagged Divisions

Educational Research and Methods

regular class session?Q. Are there any courses where these expectations were challenged, in other words, where yourexpectations of your involvement during class were different?Q. When you think about a typical engineering lecture-based course, what expectations do youthink faculty have of you in terms of your involvement in the class session. In other words, whatdo you think faculty expects you to do during a regular class session?Q. Are there any courses where these expectations were challenged, in other words, wherefaculty expectations of your involvement during class were different?Q. How do you respond when a faculty member tries an instructional style that requires yourinvolvement in class, for example, working with a partner or a team to

Conference Session

Industrial Engineering Division (IND) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sima Parisay, California State Polytechnic University, Pomona

Tagged Divisions

Industrial Engineering Division (IND)

exampleserves as a valuable teaching tool, suitable for both classroom lectures (second discussion point)and self-study assignments.Problem statement: A multi-station system with mixed partsThe system under consideration receives parts of two types: GK and Q. Parts GK arrive with aninter-arrival time uniformly distributed between 5 and 7 minutes. Upon arrival, 20% aredesignated as part G and directed to Station L. The remaining 80% are designated as part K andproceed to Station M. • Station L: This station has a single Machine that processes each part G with a triangularly distributed processing time (Tria(6, 9, 15)). After processing, all part Gs are sent to Station M. • Station M: This station has a single Operator. It processes

Collection

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

Authors

Mohammad Heshmati, Mississippi State University; Bill B Elmore, Mississippi State University

] HQPBL Organization, “A framework for high quality project-based learning”, url:https://hqpbl.org/wp-content/uploads/2018/03/FrameworkforHQPBL.pdf, 2024[7] Lyngdorf, N. E. R., Du, X. and Lundberg, A., “First-year engineering students’ learneragency sources in a systemic PBL environment: a Q study”, European Journal of EngineeringEducation, vol. 48, no. 6, pp. 1130–1147. doi:10.1080/03043797.2023.2233427, 2023[8] Q Methodology, “Scientific Study of Human Subjectivity”, url: https://qmethod.org/, 2024[9] Mohammadi-Aragh M. J. and Kajfez R. L., “Ten years of first-year engineering literature(2005–2014), a systematic literature review of four engineering education journals”, TheInternational journal of engineering education, ISSN-e 0949-149X, vol

Collection

2005 ASEE Midwest Section Conference

Authors

Wangping Sun; J. M. Zhang; Z. J. Pei

minimize the student participation, leaving littleopportunity for effective learning 2. To prevent the “lecture-centered” situation from happeningin IMSE 250, Q & A interactions between the instructors and students took place quite often.These questions called forth the students’ attention, helped them better understand the lecture,and provided a good feedback through which the instructors could know how well the studentshad learnt in class.However, these interactions need to be concise. As observed by the instructors, it seemed betterif each Q & A could be finished in one minute. If the interaction was longer than that, then theclass was likely to lose the interests in the topic. If the question needed longer time to answer

Collection

2013 ASEE Midwest Section Conference

Authors

Asad Esmaeily

" 18" A s= 1 .7 6 A s'= 0 .2 2 P (4 )-# 6 B a rs B o tto m , G ra d e 6 0 # 3 T ie s 26" 10" 1 5 '-6 " # 6 B a r: D ia m e te r= 0 .7 5 ", A re a = 0 .4 4 S q u a re In ch # 3 B a r: D ia m e te r= 0 .3 7 5 ", A re a = 0

Collection

2010 Fall ASEE Middle Atlantic Section Conference

Authors

Dennis Silage

receiver forsymmetrical signals with perfect carrier and bit time synchronization (Figure 3). The theoreticalprobability of bit error (Pb) for a symmetrical BPSK signal in AWGN and with optimalreception, assuming that the apriori probabilities of the binary data and the energy per bit areequal (P0 = P1 = 0.5 and Eb0 = Eb1 = Eb), is presented in the course lecture5. 2 Eb Pb Q NoThe function Q is the complementary error function and No is the power spectral density of theAWGN. The optimal threshold for the correlation receiver is set as τopt = 0. MATLAB/Simulinkcan calculate the statistics of the binary data

Conference Session

Thermodynamics, Fluids, and Heat Transfer II

Collection

2009 Annual Conference & Exposition

Authors

Gerald Recktenwald, Portland State University; Robert Edwards, Pennsylvania State University, Erie; Douglas Howe, Portland State University; Jenna Faulkner, Portland State University; Calvin Hsieh, Portland State University

Tagged Divisions

Mechanical Engineering

, not on the details of data acquisition. The laboratory exercise begins with warm-up problems on the rate form of the first law, andon possible choices of control volumes for the system. We found these warm-up problems to bevery helpful because qualitative reasoning is a new skill for students, and because (in ourapproach) the students have only recently been reintroduced to the first law of thermodynamics.See Appendix B, section 3.3. The first part of the blender exercise investigates the effect of varying the amount of waterin the blender. Qualitative analysis involves manipulating the rate form of the First Law ofthermodynamics dT ˙ ˙ mc = Q

Conference Session

Pedagogy in Chemical Engineering Education

Collection

2022 ASEE Annual Conference & Exposition

Authors

Stuart Adler, University of Washington

included ~10% interactive elements including Q&A and think-pair-share style reflections. • Discussion (50 minutes/week in class). This faculty-led Q&A was essentially an in-class postmortem of the homework assignment from the previous week. • Problem Sets (8 ~ 12 hours/week outside of class). The homework involved a combination of problem-solving and multi-part questions exploring the theoretical basis of thermodynamics. The students were encouraged to work in small teams, but handed-in homework individually. Solutions were posted online, and students received feedback from a TA one week later. • Office Hours (extracurricular). Attendance was extremely variable, but sometimes could expand to a third the class (20 people

Conference Session

Pre-College Engineering Education Focused on Female Students

Collection

2019 ASEE Annual Conference & Exposition

Authors

Jennifer M. Bastiaan, Kettering University; Roger Bastiaan, ENWIN Utilities

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

assembled as a group. Questions for the students arelisted with a “Q” symbol. Comments are marked with bullets. The instructor leads the activitythroughout, announcing each step and making sure that all student groups have completed thestep before proceeding with the next step.INTRODUCTIONQ: Have you ever changed a light bulb?Q: Why did you change the light bulb?Q: What happened when the new light bulb was put in the lamp? • When a light bulb is burned out, it does not light because the lamp’s circuit is open (draw an open circle on the board, one that does not connect the end to the beginning). • When a new light bulb is placed in the lamp, the lamp’s circuit is closed and electrons can move around the circuit (draw a closed circle on

Conference Session

Knowing our Students, Faculty, and Profession

Collection

2010 Annual Conference & Exposition

Authors

Samantha Brunhaver, Stanford University; Russell Korte, University of Illinois, Urbana-Champaign; Micah Lande, Stanford University; Sheri Sheppard, Stanford University

Tagged Divisions

Educational Research and Methods

CoworkersAs with managers, new engineers at every company reported varying degrees of help from thecoworkers. Many participants said that their coworkers helped them understand what is expectedof them and helped them accomplish their work. Other participants said that their coworkerswere too busy or too new to the work group to provide much help. Q: Did your [coworker] give you this assignment? A: Yes. Q: I assume he gave you background information? A: Yes and no. We both were new to this [name] system, so we pretty much were on the same page in terms of understanding the system. So it was like we both learned it at the same time. I found some information, I talked to him about it, he found some more information

Conference Session

Mathematics Division Technical Session 4

Collection

2013 ASEE Annual Conference & Exposition

Authors

Hassan Moore, University of Alabama, Birmingham

Tagged Divisions

Mathematics

parents tendto have smaller numbers of children, assume that the birth rate a is reduced by 5 percent. Hint: Problem 6 can be done by using solution tool for (5) in two steps: First, work withthe current population, birth and death rates to find Spain's population four years from now. Readoff this population as best you can from the graph and use it as the new value for P0. Also findthe modified values of a and b to calculate the population change over the next four years. Page 23.1333.7 Project 2: Electrical LRC Series CircuitsThe charge q(t) as a function of t in an electrical LRC series circuit, see Figure 2

Conference Session

Thermodynamics, Fluids, and Heat Transfer II

Collection

2009 Annual Conference & Exposition

Authors

Amir Karimi, University of Texas, San Antonio

Tagged Divisions

Mechanical Engineering

undergraduate heat transfertextbooks is usually limited to fins of uniform cross-sectional area. For more complex finconfigurations, only efficiency charts are provided in most heat transfer textbooks1-15. Analysisfor fins of variable cross-sectional areas or annular fins results in more complex differentialequations. The solutions for temperature distribution involve complex functions such as Besselfunctions. The analyses for these types of fins are not typically fully covered in an introductoryheat transfer course. Instead the results are shown in the form of fin efficiency charts.The fin efficiency is defined as q act q act ϕf ? ? (1

Conference Session

Preparing a Modern Aerospace Workforce

Collection

2008 Annual Conference & Exposition

Authors

Sven Bilen; Lisa Brown; Mieke Schuurman; Timothy Wheeler; Julio Urbina

Tagged Divisions

Aerospace

Collection

ASEE-NE 2022

Authors

Caressa Adalia Wakeman, University of Connecticut ; Amvrossios Bagtzoglou, University of Connecticut; Maria Chrysochoou, University of Connecticut

Tagged Topics

Diversity

(CC). The results of the statistical analysis are summarized in Table 4.Figure 1: Student perceptions of challenges for neurotypical and neurodivergent students as the courseprogresses. Graphs (a) and (c) show the distribution of challenges for all students from IRP, Q-1 and RP1, Q-1,respectively. Graphs (b) and (d) show the distribution of challenges for neurodiverse students from IRP, Q-1 andRP1, Q-1, respectively.Table 4: Proportions (%) of top 3 codes for student perception of challenges for neurotypical (NT) andneurodivergent (ND) students with course progression and p-value for hypothesis testing. A p-value in boldindicates statistical significance at 5% level. IRP RP1

Conference Session

Technical Session S2A

Collection

2022 First-Year Engineering Experience

Authors

Whitney Gaskins, University of Cincinnati

Tagged Topics

Workshops

) - Early alert system - Community Engagement - Professional Connections - Intrusive AdvisingCurrent Retention Programming Inventory (15 minutes) - What student support do you currently have on your campus? - What student support do you currently have in your college? - How involved are the students in the support programs? - What is missing from student support?Q&A (20 minutes)

Conference Session

CIT Division Technical Session #2

Collection

2022 ASEE Annual Conference & Exposition

Authors

Ahmad Javaid, The University of Toledo; Quamar Niyaz, Purdue University Northwest; Charlene Czerniak; Sidike Paheding, Michigan Technological University

programming languages known.The results are shown in Fig. 11. We have observed a positive impact on both genders even thoughmales have more computer knowledge than females. Table 1. Survey QuestionsQ1 What kind of cipher is a Caesar Cipher?Q2 Encryption is when you get ciphertext and turn it into plaintextQ3 What is needed to read encrypted messages?Q4 What is Cryptography used for?Q5 In RSA Algorithm, we select 2 random large numbers ‘p’ and ‘q’. Which of the following is the property of ’p’ and ‘q’?Q6 What text is the scrambled and

Conference Session

CIT Division Technical Session #8

Collection

2022 ASEE Annual Conference & Exposition

Authors

Juan Felipe Calderon, Universidad Andres Bello, Chile; Pablo Schwarzenberg, Universidad Andres Bello

videoconference sessions were held twice a week for ERT students and once amonth for online students.Table 2: Activities in the courses included in the study. Modality Pre-class activi- In-class activi- Post-class activities ties ties Lecture None Concept Re- Laboratory (each week) based views Three Graded Programming Q/A Sessions Assignments Worked Exam- ples Group Pro- gramming As- signments Flipped

Collection

2005 GSW

Authors

W. Roy Penney; Lauren N. Leach; Jeffrey R. Dorman; Edgar C. Clausen; Daniel E. Fluornoy; Alice K. Keogh

⎟ (3) ⎜ ⎛ (Ts − Tin ) ⎞ ⎟ ⎜⎜ ln⎜ ⎟ ⎟⎟ ⎜ (T − T ⎟ ⎝ ⎝ s out ) ⎠ ⎠ 4. Calculate the experimental heat transfer coefficient: qin = q out qin = he * As * LMTD (4) ⎛ ⎞ ⎜ ⎟ ⎜ q out ⎟ ∴ he = ⎜ A * LMTD ⎟ ⎜ s ⎟ ⎜ ⎟ ⎝ ⎠ 5. Calculate the experimental Nusselt number: he * d i Nue = (5) k 6