hands-on activities includemore than 250 different 3-D mechanical puzzles, games, mind teasers, LEGO® Mindstormscompetitions, and design projects, each of which illustrates principles and strategies ininventive/innovative problem solving. (Please see some of the puzzles at:http://www.ee.fau.edu/faculty/raviv/teach.htm). These activities allow for self-paced, semi-guided exploration that improves self-esteem and encourages questioning and daring. Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition Copyright 2003, American Society for Engineering Education* This work was supported in part by the National Collegiate Inventors and Innovators Alliance (NCIIA), and in
Hewlett-Packard, on copper and tantalum etch processes, respectively.Thus, concepts discussed in class are immediately applied to real industrial data. Statisticalanalysis of the data is discussed in terms of the physical process. In this way, the statistics andthe science are coupled. In the case of the copper etch for Merix, student email accounts arelinked to the process control software so that students get “Process Out of Control Messages” inreal time. Course concepts are cemented with a plant trip at the end of the term to see statisticsin action.INTRODUCTIONUndergraduate chemical engineering education emphasizes analysis and, then, design. In thetypical curriculum, the majority of the technical credit hours are devoted to fundamental
%) andPalladium (99.9%). All samples were cleaned with methanol (HPLC grade CH3OH) and driedwith a lint-free cloth before being placed in the furnace. Samples were placed on Alumina(Al2O3) boats, also cleaned using methanol. As shown in Figure 1, the samples were placed atregular intervals in the furnace’s 12 inch heated zone. Six samples were used per run except forlatter experiments in which only a specific position was chosen for one or two samples. Figure 1. Furnace System Used for Deposition Proceedings of the 2008 ASEE Gulf-Southwest Annual Conference The University of New Mexico – Albuquerque Copyright © 2008, American Society for Engineering
. • Curriculum design concentrates on the integration of the learning experience • Curriculum design is the responsibility of all.At the conclusion of the January 1999 workshop, a Teaching and Learning Initiative Committeewas formed of which the lead author became the chair. This committee refined the followinginitial outcomes to support the achievement of the shared vision. 1) Document an evolving action plan that integrates all efforts of the initiative into acoherent program. 2) Gain the support of the Dean of the Academic Board, and others who can provideresources for the initiative. 3) Integrate processes developed as part of the initiative into the existing USMAAssessment System and make these processes consistent
skill set needed (again because of the maintenance).The selection of Macromedia Authorware 3, as the most versatile and simple platform, and due toits long and successful history, seemed the logical choice in a relatively narrow competition. Itwas also widely used and supported by our partner, ATL.The working team was composed of: - from the engineering side: a director and content expert, a manager and writer, and 3programmers; and - from the educational technology side, as an advising group: an instructional designer, anauthoring specialist, a graphical design specialist and an evaluation specialist.The programmers were three 2nd year co-op students from the computing engineeringundergraduate program, with noticeable inclinations
capacities. At the Royal MilitaryCollege of Canada (RMC), CSE is an integral part of the Chemical and MaterialsEngineering program in the Department of Chemistry and Chemical Engineering. Page 2.206.1 Session 32132. Motivation for a Computer Based Corrosion CourseThe main motivation for exploring a course of this nature is for distance learningapplications, and more specifically, the potential of utilizing computer technology as adistance learning medium. The advantages and disadvantages of computer based learning(CBL) and more conventional education techniques have been presented in
experimental process. Section 4 presentsthe experimental result analysis and discussion. The paper is concluded in Section 5. 2. Improvement of the 3D Haptic-augmented Learning Tools for DynamicsPrevious studies in Engineering Education have explored students’ misconceptions in Dynamics.The Delphi study was the primary source used by the researchers to gather information fromfaculties about the difficulty and importance of Dynamics concepts8. Delphi studies areconducted with Delphi groups, which consist of members who are not always in contact witheach other, but have special domain specific knowledge to share. It makes use of mail orcomputer systems to send a series of questionnaires to a pre-selected group of experts to analyzea specific problem
droid tablets and laptop computers, because theyhave full functionality available to them rather than having the typical viewing limitations thatare available with tablets. Windows based programs generally have a broader and more completefeature set than those utilizing “apps.” It was observed that the Windows tablets were availableto most everyone in the company, but mainly utilized by PMs and Project/Field Engineers. Thisparticular company would like to enable use for superintendents and general foreman, but isfinding it challenging to overcome technological barriers. A few key differences were observedsupporting the use of slates over iPads: first, slates utilize a Windows operating system, whichwas more familiar to project personnel and was
Information Management System (LIMS) for an Undergraduate Microchip Fabrication Facility, (this symposium). Page 6.810.10 Proceedings of the 2001 American Society for Engineering Education Annual Conference & Exposition Copyright © 2001, American Society for Engineering EducationCHRISTOPHER T. TIMMONSChris Timmons is currently a graduate student in Chemical Engineering at Georgia Institute of Technology. Hereceived his B.S. in Chemical Engineering from Virginia Tech in 2000. While at Virginia Tech he led the team ofstudents that developed the mask set and process used in the Semiconductor Fabrication
, identification and control. It is necessary that engineering studentslearn the basics of neural networks somewhere in their undergraduate degree program withouttaking a full quarter/semester course. This paper presents a software developed in Java to teachbasic neural network concepts with backpropagation based learning in a couple of weeks forundergraduate engineering students. This can be done as part of a modeling and simulationcourse in various disciplines of Engineering.IntroductionThe role of artificial neural networks in the present world applications is increasingtremendously with applications including speech processing [21, 22], pattern recognition andclassification [19, 20], system identification/modeling [23], nonlinear and optimal control
-basedlearning is presented. Preliminary assessment results are included to show the impact of thecurriculum revision.IntroductionHands-on design and implementation is one of the essential skills that have been recognized notonly by the engineering education community and ABET, but also by industry that employsgraduates from engineering and computer science programs. In the computer networking area,the industry advisors in College of Engineering, Computer Science and Technology (ECST) atCalifornia State University Los Angeles expressed a strong needs of qualified networking Page 22.611.2engineers who not only have a solid understanding of theoretical
Institute of Engineering, India in 2011. I am currently pursuing my Master’s and PhD program in Electrical Engineering at Arizona State University(ASU). I am advised by Dr. Andreas Spanias. I joined Sensor, Signal and Information Processing Center (SenSIP) at ASU in Jan 2016. My research interests lie at the overlap of sensors and Machine learning and Big Data including, but not limited to Pattern recognition and Anomaly detection. In summer 2016, I did a summer internship at NXP Semiconductors where I worked on sensor data analytics 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
. His current research focuses on Anomaly Detection in Computer Networks, Bigdata Analytics, and Content-based Image Retrieval. He has also worked at HP Company in transportation, Medicaid Management Information System (MMIS) domains.Dr. Venkat N Gudivada, Marshall University Venkat N Gudivada is a Professor of Computer Science in the College of Information Technology and Engineering at Marshall University. He received his Ph.D. in Computer Science from the Center for Advanced Computer Studies, University of Louisiana at Lafayette. His current research interests are in high performance computing, software visualization, and personalized eLearning
. Put simply, the problem of measuring efficiency arises whenIn this paper we examine the cost effectiveness of a particular a concrete measure, such as the inputs, needs to be related to asort of computer-based engineering tutorial developed at The fuzzy concept of output.University of Western Australia. This computer system setsthe student a sequence of engineering problems and requires The evaluation model presented in this paper has beennumerical answers as solutions. The software tries to provide developed in the context of a specific unit taught in thediagnostic help in the case of
difference based on a t-test. The two-tailed t-test results were t(9) = –.183, p = .859. (In this test, unequal variances were assumed.) Page 7.457.11 “Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition Copyright Ó 2002, American Society for Engineering Education”Bibliography1. Accreditation Board for Engineering and Technology (ABET). 2001. “Criteria for Accrediting EngineeringTechnology Programs.” November 3, 2001. [On-line]. Available from http://www.abet.org/images/Criteria/2002-03TACCriteria.pdf.2. Hall. Thomas M. 2000. [A qualitative analysis of] Using
been appliedto various fields including computer vision, speech recognition, natural languageprocessing, audio recognition, social network filtering, machine translation, bioinformaticsand drug design4. Deep learning is an interesting topic in higher education and manytalented students in the Science, Technology, Engineering, and Mathematics (STEM)programs are eager for hands-on experience and application that is related to deep learning.As a HBCU, Central State University is a relatively small institution with a large diversepopulation of undergraduate students. Funded by an 1890 Land Grant Research Project IIIin 2017, we are developing deep learning based image classification and object detectionsystems that can be used in automated plant
Microcontroller: PIC 16F876 Reset SwitchFigure 1: SDSM&T Circuit Board Design for Course Use (PEL4)History of Mechatronics Class DevelopmentThe history of the class can be traced to a course in which an early application ofmicroprocessors to sensors and actuators was required of engineering majors [3]. Thiscourse evolved into a lab course that had students build and apply a kit that interfaced thePC to digital and analog circuits [4]. The current approach in the Mechatronics lab usesthe PIC microcontroller as a stand-alone device into which programs are downloadedthrough the PC serial port to perform real-time data acquisition and control experiments.The Mechatronics course is supported by
. Page 2.299.10AcknowledgmentsThe research reported in this paper was supported by Virginia Tech, Texas Tech, and theNational Science Foundation through SUCCEED, the Southeastern University and CollegeCoalition for Engineering Education. The authors would like to thank these organizations fortheir financial support of this project.ReferencesKoelling, C.P. and T.D. Ramsey, “Multimedia in Work Measurement and Methods Engineering,” Proceedings,International Conference on Computers and Industrial Engineering, Vol. 31, No. 1/2, pp. 49-52.Biographical Sketches of the AuthorsMARIO G. BERUVIDES, Ph.D. is an assistant professor in Industrial Engineering at Texas Tech University. Heholds B.S. (ME) and M.S.I.E. degrees from the University of Miami, and a
student ambassador for the technology department.Dr. Matthew Aldeman, Illinois State University Matthew Aldeman is an Assistant Professor of Technology at Illinois State University, where he teaches in the Renewable Energy and Engineering Technology programs. Matt joined the Technology department faculty after working at the Illinois State University Center for Renewable Energy for over five years. Previously, he worked at General Electric as a wind site manager at the Grand Ridge and Rail Splitter wind projects. Matt’s experience also includes service in the U.S. Navy as a nuclear propulsion officer and leader of the Reactor Electrical division on the aircraft carrier USS John C. Stennis. Matt is an honors graduate of
Paper ID #35475Enabling Hands-On, Team-based Project work during COVID-19Dr. Brian Dick P.Eng., Vancouver Island University Brian Dick is Chair of the Department of Physics, Engineering, and Astronomy at Vancouver Island University, and instructs its first-year engineering design curriculum. He is past-chair of the BC Council on Admissions and Transfer (BCCAT) Engineering Articulation Committee, and led development of the common first-year engineering curriculum recently implemented in British Columbia. American c Society for Engineering Education, 2021Enabling
Session 3557 MSQA ON-LINE: AN INITIAL ASSESSMENT Lori S. Cook, Lawrence S. Aft Southern Polytechnic State University Department of Industrial Engineering Technology Marietta, GA 30060 ABSTRACTSouthern Polytechnic State University’s (SPSU) mission includes providing educationalexperiences to all of the citizens of Georgia. The Internet provides a mechanism for providingthese educational experiences to all qualified students regardless of geographic location andability to be in a
least in coursework. This may be because creating initial, business- Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright © 2005, American Society for Engineering Educationoriented statements of early and untested ideas is seen as having little tangible focus andas being less amenable to being taught in a rigorous, logical and managerial framework. We offer a brief outline the product design course we designed and co-teach as auseful vehicle to emphasize innovation and its many facets, make a case for why theinventive process should be integrated, and offer suggestions of how this might beaccomplished.Product and Process Design, Development and Delivery A
Creating an Entrepreneurial UniversityInspiring entrepreneurship within a student body doesn’t require monumental, elaboratechanges in a program or institution. Converting a traditional education to anentrepreneurial education doesn’t require complicated, sweeping changes in the facultyand the classroom. A significant transformation can come from something as modest andlow key as the collaboration of two faculty members, with the resulting creation of apartnership that allows its members to draw on the others’ diverse backgrounds anddistinct strengths to change the direction of a program and to excite an entire studentbody. That’s exactly what is happening in the College of Technology and Aviation atKansas State
of a HVAC system, selectingnozzle diameter of a jet engine etc. This design model in engineering curriculum can help students meetcertain educational outcomes defined by ABET. However, the authors indicated that students did notachieve outcomes to exceptional level [7]. A similar approach was executed by a mechanical engineeringprogram at an urban research university. A design project was introduced in thermodynamics coursecurriculum and implemented it for four years by different instructors. The curriculum aimed at preparing 2students to perform well in senior level courses and increase retention. Thermodynamics is sophomore levelcourse and students struggle to apply design concept in
, and Ph.D.) in mechanical engineering from the University of Notre Dame. He is Associate Professor and Chair of the mechanical engineering department at Ohio Northern University, Ada, OH. He has previously served as Proposal Engineer and Proposal En- gineering Supervisor at Grob System, Inc. and Software Engineer at Shaum Manufacturing, Inc. He has held a number of leadership and advisory positions in various entrepreneurial ventures. He is currently a KEEN (Kern Entrepreneurial Education Network) Fellow, and has served as a Faculty Fellow at the Jet Propulsion Laboratory, Pasadena, CA and an Invited Professor at INRIA Rhone-Alpes, Monbonnot, France. Research interests include computer vision, mobile robotics
(2017) doi:10.1186/s41239-017-0062-116. Bybee, R., & Landes, N. M. (1990). Science for life and living: An elementary school science program from Biological Sciences Improvement Study (BSCS). The American Biology Teacher, 52(2), 92-98CHADIA A. AJIDr. Aji currently serves as a Professor of Mathematics at Tuskegee University. In the last several years, she hasdedicated her effort to improving undergraduate and K-12 STEM education. She focuses on enhancing STEMteaching and learning with the use of technology to actively involve students in learning.M. JAVED KHANDr. Khan currently serves as Professor and Head of the Aerospace Science Engineering Department at TuskegeeUniversity. His research interests are in aerospace vehicle design
a challenging experience. In this paper, anembedded design project in an online only sophomore course is presented. The design project isbased on the EFM8BB1 from Silicon Laboratories. The EFM8BB1 is an 8051 seriesmicrocontroller that is self-contained, economical, and very student friendly. What follows is adiscussion of the sophomore course, an overview of the EFM8BB1, and an example of theproject design based on the EFM8BB1.1. IntroductionThe sophomore course referred to in this paper is the second course of the digital designsequence in the electrical engineering technology program at Kennesaw State University.Kennesaw State University was founded in 1963 as part of the University System of Georgia. In2015, Kennesaw State merged with
andInformation Technology and Professor in the School of Engineering Education at Purdue University. Dr. Maganaholds a B.E. in Information Systems and an M.S. in Technology, both from Tec de Monterrey, and an M.S. inEducational Technology and a Ph.D. in Engineering Education, both from Purdue University. Her research programinvestigates how model-based cognition in Science, Technology, Engineering, and Mathematics (STEM) can bebetter supported by computational disciplinary practices such as computation, modeling and simulation, data sciencepractices, and artificial intelligence. Proceedings of the 2023 ASEE Gulf-Southwest Annual Conference University of North Texas, Denton, TX
outreach, educational and support systems that have the potential to form ”resource-rich” networks in which students receive in- formation and resources in routine exchanges. Dr. Martin’s current projects evolve her prior research on social and cultural capital away from a normative state that requires students to conform to the main- stream institution of engineering education in an effort to promote experiences and systems that affirm/are inclusive of people from diverse backgrounds. In addition to research, she is deeply interested in STEM education policy, and held a Science and Technology Policy Fellowship with the American Association for the Advancement of Science (AAAS) in 2012-2013. Dr. Martin has held a
Session 2632 MallardTM: Asynchronous Learning on the World-Wide Web Michael L. Swafford, Donna J. Brown University of Illinois at Urbana-Champaign ABSTRACT Recently there has been a veritable explosion in the use of the World-Wide Web (WWW) for business,personal, and educational purposes. Although its primary use has been to provide easy access to distributedinformation, the WWW can also be effective as an interactive multimedia educational aid. Our system,MallardTM, provides a customized learning environment