Integer/linear programming. Here the studentsmust develop a procedure to create music CDs considering cost, time, and genre. A heuristicapproach is anticipated. What selections should be chosen? What is the order that they shouldbe placed on the CD?Campus Lighting is used as an introduction to engineering economics. Students must decidewhat costs and criteria to use in selecting the best way to improve campus lighting given severalalternatives and a budget constraint.Table 1 below summarizes the various courses in which these MEAs have been implemented andthe data collected. We have included the purpose of the MEA for the particular implementation[5]. These are:≠ Integrate learning from previous courses with new information (integrator
again cost goes up due to its obsolescence, whencefurther miniaturization has to set in. Financing is very different in the field of nano-engineeringand difficult for an entrepreneur, as the financier or the funding agency wants to see what is theend product, after seeing what is going on. The lack of nano-engineering education-so calleddesign fundamentals; knowledge of design tools and manufacturing processes is one of the majordrawbacks. To add to it there is a lack of depository knowledge and infrastructure for selectionof microfabrication processes and assembly. These deficiencies can be met, if during graduationfrom an undergraduate or a masters program, a broad based knowledge of nano-electronicfabrication technique is provided. This
other major public issues (privacy, democracy,education).http://web.mit.edu/sts/info/index-css.htmlStanford's Program in Science, Technology, and Society (STS) offers undergraduates integratedstudies of the natures and relationship of science, technology, and engineering, and of the socialrelations of science and technology. STS provides an arena for dialogue among students ofengineering, humanities, natural sciences and social sciences--a common ground whereimportant cross-disciplinary studies transcending the gaps between the technical and non-technical fields are not merely envisioned, but practiced.http://www.stanford.edu/group/STS/about.html*Emphasis added
Michael Golub is the Academic Laboratory Supervisor for the Mechanical Engineering department at IUPUI. He is an associate faculty at the same school, and has taught at several other colleges. He has conducted research related to Arctic Electric Vehicles and 3D printed plastics and metals. He participated and advised several student academic competition teams for several years. His team won 1st place in the 2012 SAE Clean Snowmobile Challenge. He has two masters degrees: one M.S. in Mechanical Engineering and an M.F.A. in Television Production. He also has three B.S. degrees in Liberal Arts, Mechanical Engineering, and Sustainable Energy. c American Society for Engineering Education, 2018
builder. Almost half (47%) indicated that their job level was manager or above; the restwere primarily either engineers or technicians. The most commonly reported challenge by far—noted by over half of the respondents—was recruiting and retaining skilled technicians andengineers. Difficult-to-find skills included programmable logic control programming, systemintegration and automation, wireless technology, troubleshooting, welding, and fabrication.Several respondents commented that new hires need to be able to use PLCs; experience withhobbyist kits such as Arduino is not sufficient. Table 1 below compares Arduino withMicrologix 1000, which is a small PLC that can be used for industry applications [8, 9]. Table 1. Comparison of
Efficiency and RenewableEnergy and National Laboratories, has programs that include competitions for Colleges andUniversities as well as Kindergarten through High School3,4. Competitions focused on buildingscience includes the Solar Decathlon5, the Race to Zero!6, the Solar District Cup7, the GeothermalCollegiate Competition8, and Jump into STEM9.Articles can be found that refer to competitions for students, with some focused on the technical Proceedings of the 2023 ASEE Gulf-Southwest Annual Conference University of North Texas, Denton, TX Copyright 2023, American Society for Engineering Education 2matters presented
own world views which have been developed and formed over their lifetimes [2]. Students'world views often differ greatly from that of scientists and engineers. Often, due in large part tothese differences, students emerge from our classes with serious misconceptions [3] -[ 7]. In recent years, a number of writing techniques have evolved that make use of variouswriting-to-learn strategies within the domains of engineering, mathematics, and the sciences [8] -[15]. The use of writing in introductory physics classes for non-majors may help students developtheir critical thinking and problem-solving skills. In addition, writing can help them identify andconfront their misconceptions about a specific topic in physics. Science classes in
, interviews, and program evalu- ation. Her consulting work has included local and national transdisciplinary endeavors. Current interests include evaluation of innovations in STEM products and education, transdisciplinary scientific collabora- tion, and understanding how the social and physical environment interacts with human development and behavior.Dr. Paul Morrow Nissenson, California State Polytechnic University, Pomona Paul Nissenson (Ph.D. Mechanical & Aerospace Engineering, University of California, Irvine, 2009) is an Associate Professor in the Department of Mechanical Engineering at California State Polytechnic University, Pomona. He teaches courses in fluid mechanics, thermodynamics, and numerical methods
managing NJIT’s Makerspace, Mr. Suriano is pursuing a master’s degree in Mechanical Engineering, with a thesis focused on metal additive manufacturing.Mr. Daniel Brateris, New Jersey Institute of Technology Daniel Brateris is an electrical engineer and engineering educator currently serving as Director of Ex- periential Learning for the Newark College of Engineering and Program Coordinator for Electrical and Computer Engineering Technology at the New Jersey Institute of Technology (NJIT). Brateris’s areas of interest include embedded product design, design for manufacturing, engineering entrepreneurship, engineering education, and the impact of hands-on experience based learning. Brateris was educated at Rowan
, 2011.[14] M. B. B. Magolda, Knowing and reasoning in college: Gender-related patterns in students’ intellectual development. Jossey-Bass, 1992.[15] A. X. S´anchez and L. R´ıos, “Analysis of student perceptions of classroom structure, belongingness, and motivation in an introductory physics course,” in Physics Education Research Conference 2020, ser. PER Conference, Virtual Conference, July 22-23 2020, pp. 454–459.[16] Y. Cao, C. Smith, B. D. Lutz, and M. Koretsky, “Cultivating the next generation: Outcomes from a learning assistant program in engineering,” arXiv preprint arXiv:1807.04838, 2018.[17] K. B. Wendell, D. Matson, H. Gallegos, and L. Chiesa, “Learning assistant “noticing” in undergraduate engineering science
a required course for the Industrial Engineering undergraduate degree which integratesengineering and management principles and practices into managing an organization. Therefore,the topics discussed in class directly relate to the project deliverables. Students are to applytheories learned in the classroom to the dynamic settings of a retail merchandiser in the servicesector.This particular class consists of 60 undergraduate students. Seven teams are organized at thebeginning of the semester. A team leader is elected for each team. The team leader willfacilitate internal task assignments and delegation within the team, and representative the team atmeetings with the project sponsor.Each team is given one department to study within the
few simple guiding principles: 1) External leadership assists early team formation,2) A mentor role allows teams to see how to function, and 3) Team building activities improveteam organization.Role of Graduate Student Mentors at University of Idaho Idaho Engineering Works (IEW) is a group of graduate students who choose to committheir teaching assistantship time to mentoring Capstone Design teams. By precedent, mostmembers are graduates of the University of Idaho Mechanical Engineering Program and have Page 8.456.3experienced Capstone Design. That experience, plus guidance from 2nd year IEW mentors, helps Proceedings of the 2003
Paper ID #33384Bipartite Network Analysis Utilizing Survey Data to Determine Studentand Tool Interactions in a MakerspaceMr. Samuel Enrique Blair, Texas A&M University Samuel Blair is a Graduate student in Mechanical Engineering program at Texas A&M University in College Station, TX. His research interest include bio-inspired design of complex systems for human networks.Dr. Julie S Linsey, Georgia Institute of Technology Dr. Julie S. Linsey is an Associate Professor in the George W. Woodruff School of Mechanical Engineer- ing at the Georgia Institute of Technological. Dr. Linsey received her Ph.D. in Mechanical
ofmicroalgae in photobioreactors may be used for biofixation of CO2 in the atmosphere and production ofhydrogen as a clean fuel for sustainability in the environment [4,5,6]. The rapidly increasing impacts of biotechnology have stirred the interest of groups of peoplesuch as researchers, producers and consumers, environmentalists, economists, politicians, and legislators.Investment, marketing and research, becomes more attractive as there is increased possibility of gainingbenefits with the continuing rapid growth of biotechnology all over the world. Parallel to the developmentof biotechnology related sectors, biotechnology educational programs have started and have grownspecifically for inclusion in the science and technology curriculum at
involves research, analysis and design of threaded fasteners in the assembly ofmicrowave filters used in the cellular industry. Page 5.639.6 6Emin Yilmaz is a Professor and the Coordinator of the Mechanical EngineeringTechnology Program at the University of Maryland Eastern Shore. He has a Ph.D. inNuclear Engineering from the University of Michigan. Dr. Yilmaz has broad andcomprehensive knowledge of various engineering and technical disciplines. He is aProfessional Engineer and teaches all core courses in the program. Page 5.639.7
Objectives - These objectives are the desired outcomes of the educationalinteraction and can be segregated into three domains2 : cognitive, affective and psychomotor.This article focuses on cognitive domain objectives since these are the ones that most commonlyare emphasized in engineering classes. These objectives are related to the depth of knowledgethat is desired, where each lower level domain is necessary but not sufficient to attain the nexthigher level.x Knowledge - become familiar with facts, conventions and jargon.x Comprehension - grasp the meaning of the material and be able to paraphrase.x Application - use abstract ideas in particular concrete situations.x Analysis - break down complex problems into parts so that each part can then be
an online learning environment. Thewebsite evaluated in this study is a resilience training website targeting doctoral students inscience, technology, engineering, and math (STEM). Findings from the heuristics evaluation areshown to provide a baseline of potential human factors issues related to user experience with thewebsite and to suggest some preliminary design recommendations. Implications of utilizing aheuristic evaluation to improve the user-centered design of an online learning environment arefurther discussed.IntroductionThe use of educational technology and online learning environments (OLEs) are increasing at arapid rate. In fact, it is estimated that by 2025 there will be between 30-80 million onlinestudents1. Not only is student
interrelations between the actors, and the resultingimpact of the relationships on various variables. The goal is then to reduce the complexity withinthe system.These workshops have previously been tested and refined based on implementations in private,public and mixed companies, however their application to community related projects is stillemerging. This paper described the five STWs that comprise the Complexity Funnel methodology,with more detailed explanations on how the first and fourth workshops i.e., “The Web of Life,” andthe “ Social Cartography” respectively, were implemented in an Engineering Exchange for SocialJustice (ExSJ) project where a partnership between the university and a transnational communitypartner are forged to explore the
Paper ID #41631Designing Inclusive Teaching Workshops with Non-Tenure-Track Faculty inMindDr. Kenya Z. Mejia, California State University, Los Angeles Kenya Z. Mejia is a post-doctoral scholar at California State University, Los Angeles. Her work focuses on diversity and inclusion in engineering education and engineering design education.Dr. Corin L. Bowen, California State University, Los Angeles Corin (Corey) Bowen is an Assistant Professor of Engineering Education, housed in the Department of Civil Engineering at California State University - Los Angeles. Her engineering education research focuses on structural
faculty Dr. Hammond taught for five years at Columbia University and was a telecom analyst for four years at Gold- man Sachs. Dr Hammond is the 2011-2012 recipient of the Charles H. Barclay, Jr. ’45 Faculty Fellow Award. The Barclay Award is given to professors and associate professors who have been nominated for their overall contributions to the Engineering Program through classroom instruction, scholarly activities, and professional service.Dr. Benjamin W Caldwell, LeTourneau University Benjamin W. Caldwell, Associate Provost for Academic Administration and Associate Professor of Me- chanical Engineering at LeTourneau University, earned his B.S. (2007), M.S. (2009), and Ph.D. (2011) degrees from Clemson
directsthe Laboratory for Intelligent Process Systems Engineering at Michigan and is actively involved in studying theapplication of AI to the development of batch chemical processes. Dr. Miller received a B.S. degree from Rose-Hulman Institute of Technology, an M.S. from University of Illinois, Urbana-Champaign, and a Ph.D. from TheOhio State University.TONY N. ROGERSTony N. Rogers is an Associate Professor of Chemical Engineering at Michigan Technological University. He directsthe DIPPR efforts at Michigan and has been active in developing various computer-based tools for chemical processanalysis as part of the EPA sponsored CennCITT program. Dr. Rogers received B.S. and M.S. degrees from Clemsonand a Ph.D. from Michigan Technological
image processing. She is a member of the IEEE, ASEE, SWE, and Tau Beta Pi. Cur- rently, Dr. Miguel is the Chair of the ASEE Professional Interest Council I (PIC I), and a Vice President of PICs which gives her a seat on the ASEE Board of Directors. Dr. Miguel has held several other officer positions across the ASEE including: Division Chair and Program Chair of the ECE and New Engineer- ing Educators Divisions, and ASEE Campus Representative. Dr. Miguel is also a member-at-large of the Electrical and Computer Engineering Department Heads Association (ECEDHA) Board of Directors. She has been a member of the ECEDHA Annual Conference Program Committee since 2013.Mr. Nhan K. Nguyen, Seattle University I am an aspiring
; ExpositionCopyright © 2004, American Society for Engineering EducationFirst Day: Warm-up and StretchingIn the first day (usually a Friday), the activities begin at 6:30pm and go until 10:30pm. The roomhas a flipchart and movable tables and chairs. Only one facilitator must be present at thebeginning.The first day is devoted to winning the good will of all participants. As in a real marathon, mostof the time is devoted to warming up the muscles one by one. Now the important muscles are theones that control the degree of involvement and mutual trust.The facilitator introduces himself and tells his experiences related to marathon running, the sport.Usually two or three of the participants are long-distance runners and can give their testimonyconcerning how hard
scope of experience1. Web-based education, labelled aseLearning, has begun to be integrated into most undergraduate engineering programs bothheuristically2 and systematically3. However, the instructional laboratory—an essential element ofengineering education—has not followed the same trend. Although the computer hassignificantly changed the nature of the instructional laboratory4, the practical experience studentsgain through laboratory instruction has remained relatively untouched by the global scale of theinternet.Since the early days of the internet, numerous universities have attempted to introduce web-based remotely-accessible laboratories into the engineering undergraduate curricula, with onlylimited success. Despite over a decade of
of thin films. She also contributes to the engineering education community through research related to undergraduate research programs and navigational capital needed for graduate school. c American Society for Engineering Education, 2017 Qualitative Coding: An Approach to Assess Inter-Rater ReliabilityAbstractWhen using qualitative coding techniques, establishing inter-rater reliability (IRR) is arecognized method of ensuring the trustworthiness of the study when multiple researchers areinvolved with coding. However, the process of manually determining IRR is not always fullyexplained within manuscripts or books. This is especially true if specialized
the professorexchanged ideas, followed a format they had discussed and spent time developing a relationship oftrust. Similarly with the students, the rapport in Case 2 was exceptional, student-teacher, teacher-student. Student ratings in Case 2 were exceptional. And, just to test the hypothesis that highratings come from easy courses, graduates of this engineering technology program are focusingtheir graduate study in the subject area of this professor and are doing top quality work.ConclusionThe advice is simple; find a mentor and learn to teach. Success and the attainment of tenure canbe an individual project but it doesn’t have to be. Help is often available; seek it out. Attendteaching workshops, attend research workshops, learn from
Department at the University of Arizona, where he established the Advanced Micro- and Nanosystems Laboratory. Enikov’s group at the University of Arizona has an ongoing research program on tactile displays, electrostatic micro-grippers for assembly of MEMS, and nano-assembly of macro-molecules using electrostatic fields, as well as development of MEMS-compatible wireless sensing platforms with biomedical applications. Enikov is a member of the professional societies of ASME, IEEE, and ASEE.Mr. Giampiero Campa, MathWorks Giampiero Campa received both the laurea degree in electrical engineering (1996) and the Ph.D. degree in robotics and automation (2000), from the University of Pisa, Italy. He has also worked at the
AC 2008-1410: PRACTICAL EXERCISE FOR EFFICIENT EDUCATION OFCOMPUTER SYSTEM ARCHITECTURESoonghwan Ro, Kongju University, Rep. of Korea He received an B.S., M.S. and PhD degrees from the Department of Electronics Engineering at Korea University in 1987, 1989, and 1993 respectively. He was a research engineer of Electronics and Telecommunications Research Institute and University of Birmingham in 1997 and 2003 repectively. Since March 1994 he has been an professor at Kongju National University, Korea. His research interests include pervasive computing, embedded systems and mobile communication
an Associate Teaching Professor in the Mechanical and Materials Engineering Department at Worcester Polytechnic Institute. He has B.E., M.S.E and Ph.D. degrees in Mechanical Engineering and is a member of ASME, ASEE and IEEE. He teaches senior level courses related to modeling and design of mechatronic systems.David C Brown (Professor) David Brown is Professor Emeritus of Computer Science at Worcester Polytechnic Institute. He has B.Sc., M.Sc., M.S. and Ph.D. degrees in Computer Science, and is a member of the ACM, AAAI, and IFIP WG 5.1. He was the Editor in Chief of the Cambridge UP journal AIEDAM: AI in Engineering, Design, Analysis and Manufacturing from 2001-2011, and has served on the Editorial Boards of several
an appropriate data science curriculumaccessible to non-computing majors with little or no programming background. This project tooka two-prong approach to address such a curriculum: (1) a Web-based Data Science LearningPlatform was developed to offer such students hands-on practice with processing and analyzingdata without needing to write code, and (2) a Data Science Curricular Module for teaching datascience concepts in both an existing Computer Science Principles course and a follow-on DataScience Principles course. The paper also discusses initial experiences with deploying thecurricular module at Rochester Institute Technology.IntroductionLearning data science has become commonplace in many disciplines and the related curriculum isin