Reaction Engineering”course, students are introduced to the concepts of non-ideal flow conditions in the reactor and theanalysis of non-ideal reactors via zero order models i.e., segregation and maximum mixednessmodels [1]. Further, a computational fluid dynamic modeling (CFX AEA Technologies,Pittsburgh, PA) is first introduced in the Transport Phenomena course, and they are trained toanalyze RTD in the Chemical Reaction Design Course. The project stages were: a) determine the rate law and the rate kinetic parameters: To minimize the time spent ondetermining the exact reaction mechanism, they were suggested to use a Hougan-Watson (H-W)kinetic model if the elementary reaction assumption is determined to be invalid [2]. Since the rateconstant
computer technology for managing project. Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition Page 7.107.8 Copyright © 2002, American Society for Engineering Education
Session 2526 PC-Based Transport Laboratory Experiments Nam K. Kim Department of Chemical Engineering Michigan Technological University Houghton, MI 49931Abstract The transport laboratory course in Chemical Engineering at Michigan Tech has beenoffered to undergraduate juniors as a 2-credit required course since 2000. The laboratoryequipment has been newly designed to accommodate an in-line digital computer for dataacquisition. The chemical engineering faculty focused on three
Session 2655 The Role of the ASEE Student Chapter in the “Making” of a Professor: A Case Study of UT-Austin Zeno Philip, Cynthia A. Finley, Michael Tsurikov, Peggy Rijken, Jagannathan Mahadevan, Fernando Ulloa, Ronald Barr The University of Texas at AustinIntroduction Future professors are drawn from the rank of current graduate students. An ASEE studentchapter can be of great help in catering to the needs of these students. Although ‘engineeringteaching’ is a specialized profession with regard to each engineering discipline, there are manysimilarities in all
Page 5.70.1 Session 3642 Table 1. Summary of expectations Student Expectations • Knowledge, organizing and prioritizing topics, designing course • Enthusiasm • Respect for other demands – families, courses, jobs • Technology use – blackboards, overheads, PowerPoint, web/internet, engineering software • Prepare them for grading “opportunities,” other courses, FE, and the real world • Real world – topics covered, testing methods, insights about Colleague and Supervisor Expectations • Prerequisite knowledge • Reasonable workload • Grading standards • Balance innovation and conformity Your Expectations • Productive
of Industrial Engineering at New Mexico StateUniversity where he teaches and conducts research in quality, large-scale systems, and ergonomics. He has over tenyears industry experience as an industrial engineer, systems analyst, and project manager in the aerospace andcomputer manufacturing industries. He earned his Ph.D. in Industrial Engineering from Penn State University in1994.AcknowledgmentsThe support of the Advanced Research Projects Agency, the National Science Foundation, and the Department ofEnergy through Technology Reinvestment Project 04AL98816 is gratefully acknowledged.I would like to thank Diane Lise Hendrix, Brian K. Lambert, and two anonymous reviewers for their comments onan earlier version of this paper
students keep growing to meet technologicaladvances and research needs. Modest-sized graduate programs face the difficulty of achievingsufficient enrollments in graduate courses, further limiting course availability for graduate stu-dents. Attracting and retaining graduate students becomes challenging under such circumstances.However, graduate students form the backbone of any successful research program. The experi-ment presented in this paper was conducted to study the feasibility of forming teaching alliancesfocused in electrical engineering. These alliances allow several programs to pool their resources. I. IntroductionResources for higher education have become scarce in recent years due to decreased
, Manufacturing Engineering and Technology, Third Edition, Addison-Wesley Publishing Company, Inc., New York, 1995.3. D.W. Richerson, Modern Ceramic Engineering, Second Edition, Marcel Dekker, Inc., New York, 1992. Page 2.278.44. W.D. Callister, Jr., Materials Science and Engineering: An Introduction, Fourth Edition, John Wiley & Sons, Inc., New York, 1997.5. G.K. Griffith, Measuring & Gaging Geometric Tolerances, Prentice Hall, Inc., New Jersey, 1994. Acknowledgments The author gratefully recognizes the support of this project through funding provided by the NationalScience
organizationalflexibility and a flattening of the organizational structure. The cornerstones, research and teaching, of the faculty culture are dominated byindividuals, not teams. The nature of higher education is to place emphasis on theaccomplishments of the isolated individual rather than on team efforts. The emergence of teamsin the academy will cause an increase in the administrative responsibility of faculty, aredistribution in the power and authority of faculty members and a reprioritization of work loadand philosophy about teams. Engineering faculty members are often uncomfortable with the collaborative nature ofteamwork. Indeed, the personality traits that characterize some engineering faculty interfereswith their ability to be effective
experiment, and then building complexity to the point where students weregenerating independent results, the topic of digital circuit design was effectively presented.ConclusionsThe goal of this engineering summer camp for middle school students was to interest and inspireparticipants to consider engineering careers. Digital circuit design, requiring no prerequisites orcomplicated math, is an excellent vehicle to accomplish that mission. By involving the studentsin hands-on activities that paralleled topics presented, students started to develop anunderstanding of the underlying principles behind digital circuits. Students left campempowered to face today’s world of technology with confidence rather than with intimidation.References1. Carroll, C. R
Paper ID #45101Full Paper: A Cloud-Based Approach to Introducing Machine Learning inProject-Based Learning EnvironmentsJoshua Eron Stone, University of Maryland College Park Laboratory Teaching Assistant for the University of Maryland’s flagship introduction to engineering course, and undergraduate Computer Engineering student.Forrest Milner, University of Maryland College Park Undergraduate Engineering Student at the University of Maryland, College Park. A. James Clark School of Engineering. Interested in projects relating to electronics and batteries, which you can check out on my website, forrestfire0.github.io. I
Evaluate the usefulness of the framework.B. Participants A snowball sampling approach was used to recruit freshmen engineering students toparticipate in the pilot study. Former students from the Patriots Technology Training Center wererecruited to participate in this study. Participants were contacted by phone, and four freshmenengineering students from two Northeastern universities participated in the study.C. Student Success-Oriented Needs Analysis (S2ONA) Framework The S2ONA framework provides a guide to elicit, generate, and document the needs ofengineering students. The purpose of this framework is to translate the voice of the “student,”often expressed as vague ideas in their own words, into functionally precise statements
/statics/cover.htm.4. Martin, T., “The Development of Interactive World Wide Web Courseware for Students of Engineering and Technology at Deakin University,” Faculty of Science and Technology, De- akin University, Victoria, Australia, 1995. http://www.scu.edu.au/sponsored/ausweb/ausweb95/papers/education1/martin/.5. Kwok, P., Flory, E., and Rencis, J. J., “Bar and Beam Element Learning Modules for Finite Element Method,” Mechanical Engineering Department, Worcester Polytechnic Institute, Worcester, MA, 1996. http://femur.wpi.edu/Learning-Modules/Stress-Analysis/.6. Cabell, B., Rencis, J. J., and Alam, J., “Using Java to Develop Interactive Learning Material for the World Wide Web,” Session 3268, 1996 ASEE Annual Conference
worksessions.LogisticsFaculty willing to experiment with new teaching methods were selected at the project’s inceptionin Summer 1993 for each required math, chemistry, physics, and biology course in the program.Additional faculty included three professors from the College of Engineering to evaluateengineering content and one from the College of Education to coordinate assessment and advisethe project faculty on instructional methods. Individual courses were modified, technology wasinvestigated and new methods were preliminarily inserted into existing courses for evaluation inFall 1993 and Spring 1994.Program participants were recruited from a mailing list of all applicants to the University ofFlorida for Fall 1995 admission who indicated an interest in majoring in
persistent experiment.”[2]One of the more recent initiatives in improving undergraduate engineering education has beenconducted by the NSF-sponsored Foundation Coalition (FC), currently consisting of sixinstitutions: Arizona State University (ASU), Rose-Hulman Institute of Technology (RHIT),Texas A&M University (TAMU), the University of Alabama (UA), the University ofMassachusetts at Dartmouth (UMD), and the University of Wisconsin at Madison (UWM). Eachpartner institution worked within their particular and differing contexts to develop innovativecurricula based on four thrusts: integration of conceptual concepts across disciplines; active andcooperative learning; the use of technology in the classroom; and on-going assessment andevaluation.We
up her model, the student neededto recall the definitions and concepts of various thermodynamic, fluid mechanics and heattransfer mechanical engineering topics. The main topic, thermodynamics, related very heavily toher engineering thermodynamics class concepts. Concepts such as thermodynamic efficiency, theRankine cycle, ideal vs real Rankine cycle, mass and volumetric flow rates, rates of heat transfer,work, and power were essential to the OTEC and solar pond technologies, and to even begin thisresearch she needed an established recall of these concepts. Within another important topic, fluidmechanics, she needed to recall fluid flow inefficiencies such as pipe friction head loss, theDarcy-Weisbach equation, Moody diagram, and more. Heat
Paper ID #18631Implementing a Signal Integrity Course in Undergraduate EducationDr. Aldo Morales, Pennsylvania State University, Harrisburg Dr. Aldo Morales was born in Tacna, Peru. Dr. Morales earned his B.S. in Electronic Engineering, with distinction, from Northern University (now University of Tarapaca), Arica, Chile. He has an M.Sc. Ph.D. in electrical and computer engineering from University of Buffalo, The State University of New York at Buffalo, Buffalo, NY. Currently, he is a professor of electrical Engineering at Penn State Harrisburg. Dr. Morales was the PI for a 3-year Ben Franklin Technology Partners Grant
language processing for automated grading and feedback generation, multi-modal learning (integrating vision and language models), and generative AI. Her broader interests include sustainable computing, IoT, and the development of smart cities and connected environments. Prior to her graduate studies, she accumulated three years of professional experience as a Software Engineer in India, specializing in software design and development for enterprise applications. She is committed to advancing educational technology and addressing real-world challenges through innovative computing solutions.Dr. Rajarajan Subramanian, Pennsylvania State University, Harrisburg, The Capital College Rajarajan Subramanian currently
Paper ID #35816Online Nuclear Power Summer Institute and Day of Science: A two-prongedapproach to increasing girls and under-represented minorities towardsSTEM careersProf. MERLYN XAVIER PULIKKATHARA, Physics Department, Prairie View A&M University Dr. Pulikkathara’s research involves nanomaterials for aerospace and biomedical applications.Mr. Kelvin K. Kirby, Prairie View A&M University Professor of Electrical and Computer Engineering at Prairie View A&M University, Texas A&M Uni- versity System. Twenty-nine years of academic experience with twenty-two years of military service. Research projects sponsored by
. I presented on this work at the state and national PLTW Conventions and at CPTTE in 2016. I also spent 5 semesters beginning the Fall of 2015 taking online courses learning how to construct and de- liver online courses. This resulted in a MSEd from Purdue University in Learning Design and Technology (LDT). This widely varied background prepared me well for my next big adventure. Beginning in August 2018 I became the Texas A and M Professor of Practice for the Texas A and M Engineering Academy at Blinn College in Brenham. Texas A and M Engineering Academies are an innovative approach to providing the planet with more Aggie Engineers. I am focused on enhancing the high school through first-year college
STEM Youth Literacy Program, which provides Detroit Public Schools with STEM educational sessions.Prof. Yinlun Huang, Wayne State University Yinlun Huang is Professor of Chemical Engineering and Materials Science at Wayne State University, Detroit, Michigan. His research has been focused on the fundamental study of multiscale complex systems science and sustainability science, with applied study on sustainable nanomaterial development, integrated design of sustainable product and process systems, and manufacturing sustainability. He has published widely in these areas. He directs the NSF funded Sustainable Manufacturing Advances in Research and Technology Coordination Network. c American
AC 2009-992: ENHANCEMENT OF STUDENT LEARNING IN EXPERIMENTALDESIGN USING VIRTUAL LABORATORIESMilo Koretsky, Oregon State University Milo Koretsky is an Associate Professor of Chemical Engineering at Oregon State University. He currently has research activity in areas related to thin film materials processing and engineering education. He is interested in integrating technology into effective educational practices and in promoting the use of higher level cognitive skills in engineering problem solving. Dr. Koretsky is a six-time Intel Faculty Fellow and has won awards for his work in engineering education at the university and national levels.Christine Kelly, Oregon State University
of Missouri in 1997. Since then he has been a faculty member in the Industrial and Manufacturing Systems Engineering department at the University of Michigan-Dearborn.Dr. Elsayed A. Orady, University of Michigan, DearbornDr. German Reyes, University of Michigan, Dearborn Ph.D. Materials Science and Engineering, University of Liverpool, UK, 2002 M.S. Steel Metallurgy, Technological Institute of Morelia, Mexico, 1997 B.Eng. Industrial Engineering in Steel Metallurgy, Technological Institute of Morelia, Mexico, 1995 University of Michigan-Dearborn, Associate Professor, 2010-present, full time University of Michigan- Dearborn, Assistant Professor, 2003-2010, full timeMrs. Jennifer M. Makas, University of Michigan
. LaMeres has also been granted 13 US patents in the area of digital signal propagation. LaMeres is a Senior Member of IEEE, a member of ASEE, and is a registered Professional Engineer in the States of Montana and Colorado. Prior to joining the MSU faculty, LaMeres worked as an R&D engineer for Agilent Technologies in Colorado Springs, CO where he designed electronic test equipment. c American Society for Engineering Education, 2016 Using an e-Learning Environment to Create a Baseline of Understanding of Digital Logic KnowledgeAbstractOur project involves the development of a novel web-based adaptive learning system to improvestudent mastery of digital logic concepts while
-2012), and a postdoctoral research associate at Tennessee Technological University (2009-2010). Education: Ph.D, Civil and Environmental Engineering-Hydraulics, University of Iowa, 2009; MS, Environmental Engi- neering, University of Connecticut, 2002; MS, Philosophy, Rensselaer Polytechnic Institute, 1998; MS, Biology, New Mexico State University, 1994; BS, Environmental and Forest Biology, SUNY College of Environmental Science & Forestry, 1991Dr. Ralph Alan Dusseau P.E., Rowan University Dr. Ralph Dusseau is a Professor of Civil and Environmental Engineering at Rowan University in Glass- boro, New Jersey. Dr. Dusseau is also serving as the Associate Chair of the Department of Civil and Environmental
. Myers, G. E. Analytical methods in conduction heat transfer. Publisher: Genium Publishing, Schenectady, NY. 1987. ISBN: 0-931690-24-2. Page 8.851.9 “Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition Copyright © 2003, American Society for Engineering Education” 5. Incropera, F.P. and Dewitt, D.P. Fundamentals of Heat and Mass Transfer. Publisher: John Wiley, New York. 2002. ISBN: 0-471-38650-2.MOHAN A. KETKAR is an Assistant Professor of Electrical Engineering Technology at the Prairie View A&
Session # Parametric Time Domain System Identification of a Mass-Spring-Damper System Bradley T. Burchett Department of Mechanical Engineering, Rose-Hulman Institute of Technology, Terre Haute, IN 47803AbstractOne of the key objectives of any undergraduate system dynamics curriculum is to foster in thestudent an understanding of the limitations of linear, lumped parameter models. That is, thestudent must come face to face with the fact that models do not perform exactly like the physicalsystem they are created to emulate. This is best done in
(Commission Internationale De L’eclairage), Spatial Distribution of Daylight – CIE Standard General Sky, CIE S 011/E:2003, CIE Central Bureau, Vienna, Austria, 2003.[4] John E. Haufman, Illumination. In Donald G. Fink and H. Wayne Beaty, editors, Standard Handbook for Electrical Engineers, chapter 22. McGraw-Hill, Inc., 11 edition, 1978.6. BiographyKhaled A. Mansy is an Assistant Professor in the Architectural Engineering Program, School of Architecture,Oklahoma State University. He earned his Ph.D. from Illinois Institute of Technology, Chicago, 2001, and has 15years of teaching experience in professional programs in the USA and Egypt. Dr. Mansy is the PI of the NSF grantawarded to build this artificial sky dome.Steven O’Hara is a
. Prentice-Hall, Englewood Cliffs NJ. 5. Control Tutorials for Matlab: PID Tutorial (1997). 6. Nise, N. S. (2000). Control systems engineering, 3 rd Ed. Wiley, New York. 7. Ramachandran, R. P., Ordonez, R., Farrell, S., Gephardt, Z. O. & Zhang, H. (2001). Multidiscplinary control experiments based on the proportional-integral-derivative (PID) concept, Proceedings of the 2001 American Society for Engineering Education Annual Conference & Exposition. Session 1526. Albuquerque, NM. 8. Somerville, J. W. & Macia, N. F. (2001). A feedback control system for engineering technology laboratory courses, Proceedings of the 2001 American Society for Engineering Education Annual Conference &
. Turégano,J.A.,Velasco, M.C., Cozar, J.M. Didactic Tools for use in a Basic Course of Thermodynamics. ASME-AES, 1995. Vol 35, pp. 111-118.12. Reynolds, W.C. Thermodynamic Properties in S.I. Department of Mechanical Engineering. Stanford University.Stanford, CA 94305. (1979).13. Velasco, M.C.,Turégano,J.A., Cozar, J.M. & Hernández, M.A. La motivación en la clase de Termodinámica y elCambio de Modelo de Enseñanza en Ingeniería. Actas del V Congreso sobre Innovación Educativa en la Enseñanza dela Ingeniería. Las Palmas, (1998).14. Velasco, M.C. Informatización de una asignatura.Desarrollo del entorno Game y aplicación a la TermodinámicaTécnica. Tesis Doctoral. U. de Zaragoza, diciembre 2000. (in press)15. Cohen,V.L.The Effect of Technology on