five years teaching in the biomanufacturing program. Bruce is currently the Chair of the Biotechnology and Compliance Program at Quincy College in Quincy, MA and a consultant for NBC2. Page 24.796.1 c American Society for Engineering Education, 2014 Work in Progress: Interactive Web-based Virtual Environment for Learning Single-Use Biomanufacturing TechnologiesAbstractThis paper presents the first phase of a highly interactive, comprehensive learning environmentfor teaching industrial scale single-use biopharmaceutical manufacturing. This simulation-basede-learning module
devices. First (computer architecture introduction)and second expert presentation (programming a microcontroller). (Students present to otherstudents on technical topics that not all students in class will know).Assignment: Comments and questions on presentations. Time to be spent on project.Lab: Updated report due. Work on project. Meeting with me.Week 6Lecture: Powering mobile systems. Third (How to make a processor faster) and fourth (BioMedor psych student presentation) expert presentation on topics assigned in class. (Students present Proceedings of the 2014 American Society for Engineering Education Zone IV Conference Copyright © 2014, American Society for Engineering Education
/streaming.1. IntroductionGeorgia Tech is involved in a number of distance learning initiatives, including a new onlineMasters program in Electrical and Computer Engineering and a campus situated in Metz, France,that also offers Masters degrees in Electrical and Computer Engineering. This campus, known as Page 6.569.1 Proceedings of the 2001 American Society for Engineering Education Annual Conference & Exposition Copyright 2001, American Society for Engineering EducationGeorgia Tech Lorraine (GTL), opened its doors to students in the Fall of 1991. Since the numberof faculty at GTL has never been large enough
chemical engineering student involvedhad no previous experience in CFD. With limited assistance from several faculty members, thestudent learned how to use the program Geomesh to generate the required grid structure and tosimulate the flow field using FLUENT. The first simulation was performed to determine the pres-sure distribution that results from flow of wind (U∞ = 100 MPH) over a perfectly sealed house. Ashown in Figure 1, it is evident that the highest pressure is located on the supporting wall of thewindward side of the house and the lowest pressure is located on the windward exterior face of theroof. Assuming that the pressure within the house remained at atmospheric conditions, the pres-sure differential created by merely the flow over
. An excellent paper on magnetic levitation using the engineering approach todigital control was published recently.10To use the digital controller instead of the analog controller, the four operational amplifiersbetween (D) and (G) in Figure 3 are disconnected and the digital controller is inserted. To beconservative, the sample rate should be selected as high as possible. All other programs andwindows should be closed, especially if MS Windows is the operating system. The selection ofgains in the digital controller uses the same strategy that was suggested for the analog controller.When the magnetic levitation system is working for the first time, the electromagnet current canbe measured and the heating of the coil and transistor can be
the Undergraduate Laboratory Manager in the Department of Electrical and Computer Engineering at Duke University, Durham, NC. His interests include undergraduate engineering education, power electronics, plasma physics, and thin films.Lisa Huettel, Duke University Lisa G. Huettel received the B.S. degree in engineering science from Harvard University, Cambridge, MA, in 1994 and the M.S. and Ph.D. degrees in electrical engineering from Duke University, Durham, NC, in 1996 and 1999, respectively. She is currently an Associate Professor of the Practice in the Department of Electrical and Computer Engineering at Duke University, where she also serves as the Director of Undergraduate Studies
(as in all lean systems) is that the statement of requirementshas to be accurate since changes later in the process are expensive and wasteful. Giventhe broad base of expertise we have used, we are satisfied that we have appropriatecoverage to meet the semiconductor technology education needs of the next decade. Page 10.915.3 Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright © 2005, American Society for Engineering EducationBy defining the requirements specification from the business side of the academic-industry interface, we have created: • A well-developed
), and compensation (lag, lead).Although it may be argued that the course contents possess educational values, it isgenerally agreed that significant revision is necessary to reflect the change intechnologies and modern engineering career challenges. In particular, computer-aidedanalysis, state space methods, and nonlinear systems are introduced into the curriculum,replacing lag, lead compensation, Nichols chart, and parts of the performance criteria.That is, the emphasis of the course is on analysis rather than control design which isrelegated to a second course “EE486 Control Systems Electives”. An outline of thelecture is shown below: · Introduction to Systems, Review of LaPlace Transform · Transfer Functions, Signal Flow Graphs
Paper ID #41908altREU: An Alternative Online Research Experience Broadens Opportunitiesfor UndergraduatesMacKenzie Gray, Portland State UniversityErin Shortlidge, Portland State UniversityProf. Christof Teuscher, Portland State University Christof Teuscher is a professor in the Department of Electrical and Computer Engineering (ECE) at Portland State University (PSU) with joint appointments in the Department of Computer Science and the Systems Science Graduate Program. Dr. Teuscher obtained his M.Sc. and Ph.D. degree in computer science from the Swiss Federal Institute of Technology in Lausanne (EPFL) in 2000 and 2004
Paper ID #33429A Multi-level Diffusion Unit: Connecting Submicro- and Macro-levels withComputational, Graphical, and Mathematical RepresentationsJacob Z. Kelter, Northwestern University Jacob Kelter is a PhD student at Northwestern University in the joint program between computer science and learning sciences. His research focuses on using agent-based modeling for science education and computational social science research, both related broadly to complex systems science.Prof. Jonathan Daniel Emery, Northwestern University Jonathan Emery is Assistant Professor of Instruction in Materials Science and Engineering at Northwest
chicken and egg problem. Asnecessary as science is to engineering practice, it ought not, can not, be the basis for evaluationof educational innovation if we deem that requires a change of culture.Appendix - Workshop AbstractsSESSION I Technology in support of Learning By DesignLearning by Design & Pro/ENGINEERDiana Johnson, Erik Rebeck, Mechanical Engineering, University of Maryland Teaching industrial CAD/CAM software systems to accomplish “Learning by Design” represents a uniqueapproach to improve and enhance the effectiveness of undergraduate engineering education in preparing ourstudents for life-long productive careers. Experience gained from teaching Pro/Engineer, a leading computer-aideddesign system used by industry
exercised and theresults compared and discussed. The conclusion of this paper is that a person using finite element analysis softwareto estimate the structural response of an object should first have an idea of the magnitudeof the expected response using basic engineering science before using more advancedcomputer simulation and, then compare the two estimates to support taking a positionwith respect to the acceptability of the predicted response. INTRODUCTION One of the challenges of introducing advanced analysis tools, such as finite elementanalysis (“FEA”), is that too many engineering students are too willing to accept theoutput of a computer program without questioning its validity or
where real students suffer the consequences. Seymour andHewitt1 concluded in a study of 355 students at seven institutions that poor teaching (inadequateorganization, ineffective presentation, inaccessible faculty) was the most common studentcomplaint and was a cause for many to leave math, science and engineering programs. Inresponse to the clear need for faculty training, the American Society of Civil Engineers hasdeveloped the ExCEEd (Excellence in Civil Engineering Education) Teaching Workshop (ETW)which is entering its third year of existence. The ETW was developed from the TeachingTeachers To Teach Engineering (T4E) originated at United States Military Academy (USMA)and sponsored by the National Science Foundation2. In 1999, a group of
infrastructure systems through data acquisition, AI, data analytics, and proactive decision support. His research interests include Robotics and Sensing, Infrastructure Inspection and Management, Building Information Modeling, Human-Robot Collaboration, and Virtual Reality (VR)/Augmented Reality (AR). He received the Best Paper Award from the Journal of Building and Environment.Dr. Jayhyun Kwon P.E., Kennesaw State University Dr. Jay Kwon is an associate professor at Kennesaw State University. Dr. Kwon specializes in geotechnical engineering with research interests and expertise in the characterization and sustainable use of geomaterials, structural pavement performance monitoring using innovative non-destructive testing
development of original inventions by multidisciplinary studentteams within the Junior and Senior Engineering Clinics. Funding of up to $2500 per student teamper semester is competitively awarded based on student-generated proposals to the Venture CapitalFund. To qualify for funding, student teams must propose, plan and implement an original, semes-ter-long product development enterprise. The product idea must be successfully designed, devel-oped and prototyped in a single semester. The latter criterion is possible given the unique rapidprototyping facilities available at Rowan University, which include a stereolithography machine, amulti-jet modeling rapid concept modeler, a rapid circuit prototyping system and multiple consumerappliance test
for anomaly detection. I worked on integrating machine learning algorithms on an embedded sensor systems for Internet of Things applications, which can identify anomalies in real time. Before joining ASU, I worked as Systems engineer for 4 years at Hewlett Packard Research and Development, Bangalore, India.”Erica S Forzani Forzani, Arizona State University Dr. Erica Forzaniis Associate Professor of Chemical Engineering Program as well as joint faculty in the MechanicalEngineering Graduate Program in the School for Engineering of Matter, Transport, and En- ergy at Arizona State University (SEMTE). Dr.Forzani also has a joint appointment with ASU’s Center for Bioelectronics & Biosensors (CBB) at The
/Year, increasing to 8 for FY17• Defense University Research Initiative Program (DURIP) • Improve the capabilities of U.S. institutions of higher education to conduct research and to educate scientists and engineers in areas important to national defense by providing funds for acquisition of research equipment. • 1-time grants up to $1.5M for instrumentation • FY16: $17M DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. 8 Early Career Programs• Presidential Early Career Award for Scientists and Engineers (PECASE) • Recognizes exceptional potential for leadership at the frontiers of scientific knowledge • Air Force nominates 4-6 per year
Session 1526 ReactorLab.net Laboratory Simulations Richard K. Herz Chemical Engineering Program & Mechanical and Aerospace Engineering Department University of California, San Diego, USA 92093-0411AbstractReactorLab.net provides simulations of a variety of chemical reactors for use in chemistry andchemical engineering education. The overall software framework is field-independent; onlyindividual lab modules are field-specific. The software framework is that of a "rich client" or"Internet application," with full
to promoting student success bycommunicating the expectation of regular attendance and participation in classes. This policyserves as a guide that instructors and students should use to appropriately address student absencefrom class. It identifies steps that may be taken by instructors when absences or missed assignmentsare unexcused, and the circumstances and steps for students and instructors to take when absencesor missed assignments are officially permitted.”From the creation of engineering programs at The University of Texas at San Antonio in fall 1982until mid-1990s, instructors had the freedom of administratively drop those students who were notattending lectures or were not submitting their homework assignments. In mid-1990s the
to indicate some degree of dissatisfactionwith the way we are educating civil engineers1,2. The advances in computation and informationtechnologies have affected significantly the role that civil engineers will play in the future. As aresult, the material they should be learning must also change.One deficiency frequently identified in current civil engineering undergraduates is the lack oftraining on how to convert a physical system, such as a structure, into the most adequate Proceedings of the 2005 ASEE Gulf-Southwest Annual Conference Texas A&M University-Corpus Christi Copyright © 2005, American Society for Engineering Educationmathematical model, in order to
). professional and ethical data, such as x-rays. responsibility. Students need to apply and Outcome: Students who synthesis principles fromGoal 5 - Objective 2: ME graduates complete the ME program multiple courses (solidwill possess the broad education at Rowan University will mechanics, material science,necessary to understand the impact understand and consider 3.5 design) as well as study clinicalof engineering solutions in a global the consequences of problems and techniques inand societal context (Obj. H
. Fig. 1 Results Survey Question 1. Fig. 2 Results Survey Question 2. Fig. 3 Results Survey Question 3. Fig. 4 Results Survey Question 4. Proceedings of the 2023 ASEE Gulf-Southwest Annual Conference University of North Texas, Denton, TX Copyright 2023, American Society for Engineering Education 8 Fig. 5 Results Survey Question 5. Fig. 6 Results Survey Question 6. ConclusionThe JUMP into STEM competition was launched in 2018 by the Oak Ridge National Laboratory as aPILOT program and
, Fluid Mechanics and Thermodynamics. Due to thechallenging nature of the topics, ME 4061 had become a bottleneck course for many students.In recent years, the mechanical engineering program at Cal State LA has experienced explosivegrowth in undergraduate enrollment, growing from 234 students in Fall 2007 to 890 students inFall 20181,2. This led to increases in class size and limited student interactions with faculty3.Furthermore, the majority of mechanical engineering students at Cal State LA come fromsocioeconomically disadvantaged families and are often the first in their families to attendcollege. Many hold part-time or full-time jobs to support their education and family. Theircomplex lives result in suboptimal learning environments and
objective of this paper is to elaborate on our experience and themethodology that we have found to be effective in developing a successful undergraduateresearch laboratory and research program at a strictly undergraduate engineering institution.MethodsWe have found that a minimum of three strategic objectives, as stated below, are needed toimplement an undergraduate research program with no support from graduate students.Supportive Educational CurriculumFirst, research must be woven into the broader educational curriculum – at a minimum during thesenior year. This is affected by how the department or division views the role of research in theeducational process. If it views it positively, how does it specifically seek to encourage it andsupport its
Paper ID #17687MAKER: Urban Search and Rescue Robot: Visual Localization and Naviga-tionMs. Cristal Monet Johnson, Carl Wunsche Sr. High SchoolDr. Sheng-Jen ”Tony” Hsieh, Texas A&M University Dr. Sheng-Jen (”Tony”) Hsieh is a Professor in the Dwight Look College of Engineering at Texas A&M University. He holds a joint appointment with the Department of Engineering Technology and the De- partment of Mechanical Engineering. His research interests include engineering education, cognitive task analysis, automation, robotics and control, intelligent manufacturing system design, and micro/nano manufacturing. He is also
University and Delaware State University and an adjunct Assistant Professor at the University of Pennsylvania. His research interests are in radio frequency and analog integrated circuit design, embedded systems, biomed- ical electronics, and engineering education. He received his Ph.D. in Electrical Engineering and Computer Science from MIT.Dr. Yalcin Ertekin, Drexel University (Tech.) (MERGED) Dr. Ertekin received his BS degree in mechanical engineering from Istanbul Technical University. He received MS degree in Production Management from Istanbul University. After working for Chrysler Truck Manufacturing Company in Turkey as a project engineer, he received dual MS degrees in engi- neering management and mechanical
://standards.ieee.org/about/get/802/802.11.html[3] Option in Wireless Engineering, College of Engineering and Computer Sciences, WrightState University, http://www.cs.wright.edu/cecs/academic-programs.shtml[4] Telecommunications Instructional Modeling System, http://www.tims.com.au[5] Auburn University Wireless Engineering Undergraduate Program,http://www.eng.auburn.edu/wireless/[6] Georgia Institute of Technology, ECE 4602,http://www.ece.gatech.edu/academics/undergrad/course_schedule.pdf[7] National Instruments Digital Communication Teaching Bundle,http://sine.ni.com/nips/cds/view/p/lang/en/nid/210087[8] Software Defined Radio Forum, http://www.sdrforum.org[9] M. Dillinger, K. Madani and N. Alonistioti, Software Defined Radio: Architectures, Systemsand
Session ETD 506 Industry and Academia: Together Spells Success R. E. Floyd, Life Senior IEEEAbstract Whether one looks at engineering or engineering technology curriculums, there is nooutstanding indication of the importance of the role Industry can play in the successfulcompletion of a student’s preparation for the future. Whether looking at accredited or non-accredited programs, the importance of Industry’s partnering with Academia cannot beoverstated. Equally, Academia’s work with Industry on curriculum, course content, and otherfeatures of program offerings is paramount to the success for
distorted, view of industrial practice and the roles they are preparing their students to one day play. This paper has two objectives. One is to propose a simple systems model which suggests that improved advising may have a beneficial impact on society and may ultimately result in increasing financial support for academia. Secondly it offers advisors one viewpoint on the differences between academia and industry. With this information, advisors might be in a better position to assist their students understand the many issues that should be addressed in making this potentially life-changing decision.IntroductionToday it is critical that engineering faculty perform their role as
, powerful, easy to learn and use software tool thatallows for graphical filter design, hardware implementation, and exploration of the “what happensif ...” we all desire our students to explore! This program has been successfully used for bothclassroom demonstrations and filter design projects in both a Junior level signals and systems classas well as in a Senior level digital signal processing class. Student comments support our originalassumptions that graphical user interfaces are easy to learn and use and promote intellectualcuriosity.All of this software is freely available for downloading via the www sitehttp://wseweb.ew.usna.edu/ee/LINKS/EE_Links.htm (should the URL be changed, from the NavalAcademy home page, select Academics, Academic