(SAE) team. The purpose of the course is to: 1) provide students with access to a faculty mentorthat can provide automotive engineering expertise, 2) compensate students participating on theteam with GPA hours, and 3) motivate students to participate on a competition team early intheir academic career. Throughout the semester, students are educated on common design,analysis, and testing procedures used to build the Baja SAE car. In addition, connectionsbetween the theory and homework assignments students are currently completing in their courses(e.g., Statics, Solid Mechanics, Instrumentation, Dynamics, and Machine Design) and thephysical application of the material in a hands-on project are made. Presently, the integration ofthis course into
best material given various design criteria. However the actualstructural and thermal requirements are often roughly approximated. On the other hand, we havesimulation tools like Ansys Discovery, Ansys Mechanical, and Ansys Fluent which are used todesign parts and assess whether they can withstand the forces, fluid flows, thermal environments,etc. that they will experience during their lifetime. Often when students focus on the simulationaspects, they overlook the breath of materials at their disposal and resort to using standard materialssuch as general structural steels for their designs.We at Ansys look to support educators teaching both materials and design. But more than that, wesee the trends to provide a holistic and interdisciplinary
mathematicsbehind K-Means: (1)π𝑥is the weight of x ,𝑛𝑘is the number of data objects assigned to cluster 𝐶𝑘 , π𝑥 𝑥𝑚𝑘 = ∑ 𝑛𝑘 is the centroid of cluster 𝐶𝑘 , 𝑥 ∈ 𝐶𝑘K is the number of clusters set by the user, function “dist” computes the distance between object x and centroid 𝑚𝑘 ,1 ≤ k ≤ K . Usually is the Euclidean Distance.Bootstrap analysisBootstrap analysis is a general approach to quantify uncertainty without requiring anydistributional assumptions and is used because the cluster analysis will likely result in clusters ofdifferent sizes. It works by treating the sample as a population and
technology knowledge since 2010. His other research interests include nonlinear optimization, financial engineering, facility alloca- tion problem, vehicle routing problem, solar energy systems, machine learning, system design, network analysis, inventory systems, and Riemannian geometry.Elif Naz Tekalp My name is Elif Naz Tekalp. I am a junior industrial engineering student at Quinnipiac University. I also have a mathematics and general business minor. I am interested in the role of mathematics in engineering education and professional life. I was very passionate about the research that I participated in with Dr. Emre Tokgoz.Hasan Alp Tekalp American c
often lack a complete understanding of the contextwithin which they work and aims to improve both performance efficiency and outcomes byencouraging careful consideration of political, cultural, economic, and other non-technicalfactors that reside within the project population [1]. In this CIP case study, the authors willexamine Enactus-USA, whose clients populations are identified as the communities with whichproject teams seek to address material needs.Enactus-USA is a large entrepreneurial organization with the mission of “building a better worldwhile developing the next generation of entrepreneurial leaders” from among college studentsacross the United States. Founded in the U.S. in 1975, Enactus has since established similarnetworks in an
equipment, and the much smaller scale of filament waste available (we collected 5.7 kg over Fan Speed The speed at which cooling devices Need Value “100” is indiscriminate Amazon Basics 15 sheet Cross Cut Can shred CDs, credit cards, other consumers Figure 1. Total MSW Generated by Material, 2017. EPA.GOV two years) on our
the targeted Ph.D. programs earlier andmore often.Formative Project EvaluationA professional program evaluator is conducting ongoing formative assessment of the project. The primaryassessment mechanisms are (1) a pre- and post-program survey of all Master’s level students at NCCUbefore the start of the project activities and at the end of Year 5, (2) yearly student feedback sessions togather data on what is working well in the program and what could be improved, (3) exit interviews withfunded Bridge students who complete the Master’s degree from NCCU and go on to doctoral degreeprograms at NCSU or other research universities, or to employment in industry, and (4) interviews andsurveys of faculty to determine their attitudes toward working
Placement z-score GPA Count UNDER AT 0.095 3.46 19 OVER 0.568 3.30 1 No Placement Test -0.475 3.20 5Enrollment StabilityOf the 62 Calculus I students who participated in the placement process, 17 students had enrolledin Single Variable Calculus I before the placement test. Thirty-nine more students enrolled afterthe placement test but before the beginning of the semester, generally moving from SingleVariable Calculus II. Then 6 more students switched from Single Variable Calculus II after thebeginning of the semester. In the past, we usually experienced a migration of 2 to 3 dozenstudents from Single Variable Calculus II to Single
also provide a realistic, industrymotivated, and relevant experience. The course material and research applications providedshould be up to date and practical for strong curriculum. The best practice model was developedwhen a team research component was included in two undergraduate aerospace engineeringcourses of Flight Dynamics and Control. Several different UAS platforms with different sizesand configurations were provided to students and they were asked to create a dynamic model forthe UASs. Students generated a geometry model of an actual aircraft by collecting physicalmeasurements and mass characteristics of the aircraft. As shown in Figure 1, they performedoscillation tests to experimentally calculate the aircraft moment of inertia
andmethods used to test the prototypes are also presented and discussed.IntroductionThe benefits to undergraduate engineering students of hands-on experience is well documented[1], [2]. If the hands-on experience is gained in the process of completing a team project, thebenefits are even more valuable [3] – [5]. Although not all undergraduate engineering courseslend themselves to hands-on projects, some are especially suited for the task. The plethora ofphysical devices and systems discussed in instrumentation and measurement courses certainlyprovide basis for many suitable projects. The work presented here involves the design,development, and testing of an accelerometer by students in a third-year mechanical engineeringinstrumentation and
(or vice versa) 2.7 3.1Hygrothermal effects on composite materials 2.9 2.7Table 11 shows the self-reported student confidence related to broad content areas of the coursewith scores ranging from Extremely Confident (5) to Not at All Confident (1). With theexception of hygrothermal effects, campus students report higher confidence in theirunderstanding of course concepts. This is consistent with the pre- and posttest results whichshowed higher scores for campus students compared to their DEDP counterparts. It is alsoimportant to note, though, that even the highest areas of confidence are close to the mean scoreof three. In general, neither student group seems to have high confidence in their
these initial steps were completed that UVU’s researchteam began development on the virtual modules.Fig 1: Left: Diagram of RF generated plasma chamber, Right: CAD model of SEM columnEach VR module was created following the same principles and guidelines. First, the teamcreating the virtual simulations were instructed in the real-world labs. They performed anddocumented the same experiences the students will perform. Next, they took their recordings andcreated 3D models of the lab machinery, environment, and other needed materials using theindustry standard for 3D: Autodesk Maya (Maya). The modeling process started with block, orvery low detail, models in order to properly scale the objects with the user as well as provide abasic layout of each
invests in the career growth of anotherindividual. This investment can be made through behaviors such as mentoring, coaching,networking, or sponsoring. In addition, actions such as teaching, counseling, evaluating,listening, advocating, showcasing, collaborating, empowering, and challenging throughdevelopmental relationships are integral to leadership development and career advancement[1],[5],[7],[8]. 1Kram clarified the nature of relationships at work that enhance career development, definedessential characteristics of developmental relationships (career support and psychosocialsupport), and suggested ways to build them at work [5]. Research supports
study design paired twosequential rigid-body motion topics in Engineering Mechanics: Dynamics to test the effect offlipped vs. traditional lecture on both student learning and engagement. We alternated instructionalmethodology (traditional lecture + flipping) between the two sections of Dynamics in spring 2018.The traditional lecture sessions were taught with hand-written note lectures (with limited activelearning) and completed two typical numerical homework problems per topic. For the flippedsessions, students watched instructional lecture videos prior to class, worked through a hands-onin-class activity, and completed analytical questions related to the in-class activity whichsubstituted for 1 of the 2 homework problems on each topic. Paired
intercultural sensitivity”, In M. Paige (Ed.), Education for the intercultural experience, Yarmouth, ME: Intercultural Press, 1993.AppendixContents of Global Engineering Culture and Society CourseModule 1: Weeks 1-2, United Nations SDG-11 Sustainable Cities and Communities,focusing on accessible and sustainable transport systemsThe first module addressed the overall vision of the course and smoothly transitioned into UNSDG-11 Sustainable Cities and Communities, targeting smart cities concepts to provide Earth’slife support system.Specific objectives of this moduleStudents will learn: (i) engineering issues and the UN sustainability goals related to Peru, (ii)how to approach a technical problem from transnational and interdisciplinary
Paper ID #25526Innovative Laboratory Projects for a Measurements and InstrumentationCourseProf. David R. Loker, Penn State Erie, The Behrend College David R. Loker received the M.S.E.E. degree from Syracuse University in 1986. In 1984, he joined General Electric (GE) Company, AESD, as a design engineer. In 1988, he joined the faculty at Penn State Erie, The Behrend College. In 2007, he became the Chair of the Electrical and Computer Engineering Technology Program. His research interests include wireless sensor networks, data acquisition systems, and communications systems.Mr. Stephen A. Strom, Penn State Erie, The Behrend
available and inexpensive.2) The communication system will work through the public network (high speed internet) and will not be affected by local firewalls.3) The solution will work with Microsoft Windows based operating systems only.4) The design will also facilitate real time video and audio of the machines being demonstrated.Figure 1 shows the general setup of the communication network that was implemented for thisproject. This setup is for the case of demonstrating the capabilities of the machine for aprospective customer at an exposition. Furthermore, a scaled down version of the systemincluding a conveyor, servomotors, and camera vision system was built to demonstrate thecapabilities of this design.WHY SUCH SYSTEM IS IMPORTANT FOR
number of electrons exchanged per mole ofAluminum atoms oxidized, and F is the Faraday constant (96, 485 Coulombs/mol), and E° is thepotential for the galvanic cell under standard conditions.In our case the electrolyte concentrations differ from 1 Molar solutions; that is, they are notstandard. Because we are working with very small, somewhat unknown volumes when waterreconstitutes the electrolytes and salt bridge, we can consider in general how the non-standardopen circuit potential, E, would theoretically vary with the electrolyte concentrations. This isgiven through the Nernst Equation, :; 𝐸 = 𝐸° + 𝑙𝑛 𝑄 (2
been prevented. This led to a class discussion aboutsustainable metals. Recyclability of different metals was an integral part of the assignment.Several different assessment approaches were used. They included self-assessment, peerassessment, and assessment by the professor. By very large majorities the students reported theylearned these sustainable materials engineering topics better than the other topics in the course.CourseThis project deals with a required three semester hour junior level course in materialsengineering. It is required for all Mechanical Engineering Majors at Baylor University. It is alsorequired for students in the generic Engineering program. Mechanical Engineering students alsotake a one semester hour materials
collaborative learning.IntroductionThe use and effectiveness of immersive environments for learning has been increasinglyresearched and examined. Current research shows that immersive environments such as VirtualReality (VR) and Augmented Reality (AR) are among the most promising mediums to supportlearning. These technologies provide computer-generated simulations of the real or an imaginedworld that can serve as a rich and engaging context for learning [1]. Two features of thesetechnologies, “immersion” and “interactivity”, bring new dimensions to how people learnindividually and collaboratively. Bryson describes immersion as the sense that the “user’s pointview or some parts of the user’s body is contained within the computer generated-model” [2
students, first generation students, and/or low-income students. The results are encouraging in that they suggest that students from historically marginalized backgrounds do not feel less belonging than their peers, but concerning in that belonging generally decreased across the semester.During their first year, engineering majors are required to take several fundamentalcourses. Here we study students in two of these early required courses: calculus-basedintroductory physics, and the fundamentals of programming. In the current research,we look at a measure of social belonging. We see how student sense of socialbelonging changes over time, and pay particular attention to the students who are inthe minority in our sample and
class: enrollment number,classroom size/style, and course content.The evidence supporting the use of such active learning strategies in the classroom, even in aminor way, is well known in the community. Technical scholarly and professional skillimprovements [4], [14], [15], improved general student motivation and attitudes [16], [17],increasing retention in introductory courses [18] have been seen. But, as with any change inteaching, there are challenges. Due to how commonplace the lecture model is, students oftenmeet anything new or different with resistance [6], [16]. Transparency with students and themotivations behind classroom activities, particularly those well outside the standard lecture thatthey might be familiar with, can help
back to the landing strip at the origin of the spiral? Neglect the radius of the plane’s turns. Only the straight line distance needs to be considered.Figure 1: An example module problem.MentorsPeer mentors delivered the engineering content used to connect students to engineering, andprovided general guidance to students on how to successfully navigate the engineeringcurriculum. The mentors were a diverse group of junior and senior level engineering studentswho received grades of “B” or better in each class in their calculus sequence. In addition, the Page 23.275.4mentors displayed high levels of social skills and
Paper ID #10968Integration of Alternative Fuels and Turbine Research in an UndergraduateClassroomDr. Nadir Yilmaz P.E., New Mexico Institute of Mining & Technology Nadir Yilmaz is an Associate Professor of Mechanical Engineering at the New Mexico Institute of Mining and Technology. He received his B.S., M.S., and Ph.D. degrees in Mechanical Engineering from Istan- bul Technical University (1999), Bradley University (2001) and New Mexico State University (2005), respectively. His work is in the areas of combustion and CFD. He has been a noted author of about 60 technical papers and reports in these fields. Dr. Yilmaz is
green channel correlation method for versatile identification.Miah Abdullah Sahriar1†, Mohd. Rakibul Hasan Abed1†, Ratchanok Somphonsane2, Houk Jang3,Chang-Yong Nam3, Saquib Ahmed5,6*1 Department of Materials and Metallurgical Engineering (MME), Bangladesh University ofEngineering and Technology (BUET), East Campus, Dhaka-1000, Bangladesh2 Department of Physics, School of Science, King Mongkut’s Institute of TechnologyLadkrabang, Bangkok 10520, Thailand3 Center for Functional Nanomaterials, Brookhaven National Laboratory, Upton, New York11973, USA5 Department of Mechanical Engineering Technology, SUNY – Buffalo State University, 1300Elmwood Avenue, Buffalo, NY 14222, USACenter for Integrated Studies in Nanoscience and Nanotechnology
AC 2011-1512: TRANS-ATLANTIC BIOSYSTEMS ENGINEERING CUR-RICULUM AND MOBILITY (TABE.NET)Mary Leigh Wolfe, Virginia Tech Dr. Mary Leigh Wolfe is Professor and Interim Head in the Department of Biological Systems Engineer- ing (BSE) at Virginia Tech. Dr. Wolfe conducts research and teaches undergraduate and graduate courses focused on hydrologic modeling, nonpoint source (NPS) pollution control strategies, and decision sup- port tools for NPS pollution control and watershed management. She is active in the American Society of Agricultural Engineers, including two terms on the Board of Directors/Trustees and in leadership roles on technical committees. She is currently serving on the ASABE Foundation Board of Directors
. Page 22.303.1 c American Society for Engineering Education, 2011 Building Expertise on Energy Sustainability (BEES) An Integrative Model to Increase Research and Education in Energy Sustainability AbstractThe United States is currently facing a critical challenge to transform our current fossil fuel-based energy economy to a stable and sustainable energy economy. This transformation must beachieved in a timely manner to increase U.S. energy independence, enhance environmentalstewardship and reduce energy and carbon intensity, and generate continued economic growth.(National Science Foundation 2009, Building a Sustainable Energy Future). Moreover, theObama administration
, business, and computer science [3]. Data Science professionals areexpected to master this diverse skill set [3]. However, the Data Science domain is constantly andrapidly changing as new technologies are incorporated into the field [3]. This ever-evolvinglandscape poses a difficult challenge to universities tasked with educating the next generation ofdata scientists. To adequately prepare students for the dynamic demands of the Data Sciencedomain, the data science competencies taught in university courses must align with the requiredskills demanded by industry. This study analyzes the alignment between Data Science competencies taught in 136undergraduate Data Science programs across the United States [4] and the skills required for full
sustainability of educational institutions generally depends largely on strategic planning, both in terms of optimal allocation of resources/manpower and budgeting for financial aids/scholarships to incoming students. Hence, forecasting of student enrollment plays a vital role in making crucial decisions based on previous time-bound records. This work demonstrates the power of neural network-based time series forecast over a traditional time series model and recommends the better network architecture between deep and shallow neural networks based on 25-year historical records of student enrollment in a CS1 course at a mid-west university in the United States of America. Exploratory analyses were performed
to offer a modified version of the ExCEL Calculus Icourse to a group of peers who were at-risk of exiting engineering due to poor mathperformance. As peer mentors, scholars facilitated class sessions, provided tutoring, and ledcivil engineering seminars. Scholars completed math self-efficacy and/or leadership-focusedsurveys at the beginning and end of the Fall 2020 semester. Also, scholars participated in afocus group to share insights about their experiences as peer mentors. Using this data, weaddress the following questions:1. Which dimensions of math self-efficacy (if any) were impacted by ExCEL students’ roles as peer mentors?2. How might serving as peer mentors have impacted ExCEL students’ leadership development?3. How did mentee