variability can exceed 30% depending on the instrument used.Next, students measure viscosity with a rotary viscometer designed by the author1. Thisviscometer is introduced and its operation explained as if it were a “proprietary” company designwith capabilities superior to other commercially available models (such as the Visgage). It ispurely mechanical in design so students can visualize and measure not only the geometry of arotary viscometer system, but also the physics of the torque reaction and its measurement. Theviscometer uses the US units of lbf s/ft2 and has good accuracy compared to published data 1, withonly a slight dependence on rotation speed. Students take a single measurement at each of itsspeeds, for a total of 3 samples.The third
CourseSyllabus", J. Educ. for Bus., March/April, 215-221 (1993).16. Matejka, K. and L. B. Kurke, "Designing a Great Syllabus", Coll. Teach., 42, 115-117 (1994).17. Eberly, M. B., S. E. Newton, and R. A. Wiggins, "The Syllabus as a Tool for Student-CenteredLearning", J. Gen. Ed., 50, 56-74 (2001).18. Becker, A. H., and S. K. Calhoon, "What Introductory Psychology Students Attend to on a CourseSyllabus", Teaching of Psychol., 26, 6-11 (1999).19. Wankat, P. C., and F. S. Oreovicz, "Chart your course", ASEE Prism, 8, 18 (1999).20. Fernandez, E., PT 262 - Programming & Problem Solving Syllabus, Indiana University-PurdueUniversity Indianapolis, (2002).BARBARA WILLIAMSBarbara Williams is an Assistant Librarian in the Science and Engineering Library at the
. Since the team decides the new goals, the members are more committed to fulfillthose goals.This philosophy of elevated goals carries over into the various projects that IEW undertakes.Each year IEW seeks to tackle a challenging project that will stretch the abilities of the membersinvolved and foster individual and team growth. Commonly referred to as Big Hairy AudaciousGoals (BHAG), these large-scale projects require the collaboration of the entire team in order tocomplete.In 2002, IEW accepted the BHAG of completing a drawings package using ProEngineer softwarefor a high impact tester that consisted of 398 unique parts. Originally designed by the Navy in the50’s, this machine was used to shock test circuit boards for naval warships. Due to
bend steel with their bare hands). Instead, engineers are able tounderstand and control forces because they are able to picture or representthem. (Ferguson 1992) By manipulating these representation s--which may benumbers, symbols, pictures, or words--engineers are able to identify the patternsin natural forces and to predict the behavior of these forces. Significantly,representations offer a real advantage to engineers (or other professionals) inthat representations are easier to manipulate than actual objects or forces in theworld; it’s a lot easier to change a set of equations representing, say an airplane,than it is to build an entirely new plane. Thus, what makes an engineer differentthan technician or craftsmen is that the engineer is
, I.D. Díaz-Rodríguez, K. Chattopadhay, S.H. Morgan, and A. Burger, " Effects of Temperature on Radiative Transitions of Erbium in Lead-Tellurium-Germanate Glass," Conference on Lasers and Electro- Optics / Quantum Electronics and Laser Science Conference, Baltimore, Maryland, Paper # CTuK67. (May 23- 28, 1999)5. S.U. Egarievwe, M.R. Karim, S.K. Thorne, M.O. Okobiah, and O.M. Adetunji. "Development of a Visualization System for Arterial Pressure and Related Medical Conditions." Proceedings of 12th European Simulation Symposium, Hamburg, Germany. pp. 659-663. (September 28-30, 2000)6. S.U. Egarievwe, S. K. Thorne, O. K. Okobiah O. O. Adetunji, W. E. Collins, F. A. N. Osadebe. “Simulation and Visualization of Electrostatic Field
course, lab sessions will beassigned as an essential component of the course to remove the deficiency.Conclusions This paper discussed the design and implementation of an undergraduate CFD course inthe department of mechanical engineering at Lamar University. Detailed descriptions of thecourse including the text, course contents, exams, and projects were presented. The opinions ofthe students on the commercial software used for the class were provided. Some difficultiesencountered during the course and the possible solutions were discussed.Bibliography1. Anderson, J. D., “Computational Fluid Dynamics: The Basics with Applications,” McGraw Hill, 1995.2. Navaz, H. K., Henderson, B. S., and Mukkilmarudhur, R. G., “Bringing Research
Workbook 1 3 1 3 1 2 3 2.0 reading Class 4.2 6.0 4.8 4.8 5.0 5.4 3.6 4.8 meetings 3 3 3 1 6 2 2 2.9('Lectures') Quizzes 1.0 0.4 0.7 1.6 0.9 5.1 1.3 1.6 1 1 2 1 1 6 2 2.0 In-class 3.9 8.4 6.0 4.3 4.5 3.2 2.6 4.7 Team 3 9 5* 2 5* 2 2 4.0Assignment s
will indicate the step(s) to beperformed. The user has the option to perform a complete analysis (from ProblemDefinition to Safety Factor calculation), or specify any of the intermediate steps (e.g.,obtain the Load Diagrams, Calculate Principal Stresses). The VB executable also containsthe GUI (Graphical User Interface) for the methodology. Once inside the analysismethodology, the initial screen for Step (a) Problem Definition is displayed for the type ofproblem selected. Figure 1 shows the input screen for a simple-supported problem. Theinitial piece of information that is requested is general geometry (e.g., length – and units)and the number of loads of each type (e.g., point loads, distributed loads, appliedmoments). Figure 1
, S., “ Element of Chemical Reactions Engineering,” Prentice-Hall, Englewood Cliffs, NJ, (1992).k- Levenspiel, O., “The Chemical Reactor Omnibook,” Oregon University Press, Corvellis, OR, (1981).l- Whitaker, S., “A Simple Geometrical Derivation of the Spatial Averaging Theorem,” The J. of Chem. Eng. Educ.., 18, Winter (1983).m- Whitaker, S., “The Volume Averaging Theorem,” Kluwert Publishers, Amsterdam, Holland, (2000).Contact Information for the Authors:A- Pedro E. Arce, Department of Chemical Engineering, Tennessee Technological University, Box 5013, Cookeville, TN 38505; E-mail: parce@tntech.edu.B- Mario Oyanader, Department of Chemical Engineering, Universidad Catolical del Norte, Antofagasta, Chile
- Page 8.182.3speed multi-megawatt rotating machine coupled directly to the propeller shaft (see Figure 2 for a Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition Copyright 2003, American Society for Engineering Educationhardware Navy prototype). The power-electronics-based converter creates an adjustable voltagesource from the pool of IPS power. A version of this technology has been evolving since the late1970’s and is now regularly employed in icebreakers, cruise liners, ferries, and oil tankers. Thebig challenge for the U.S. Navy and civilian contractors is to address the unique militarycombatant requirements of shock and vibration, acoustic signature, and a
operation is given by: ( I = I s e qV kT ) −1 − IL (Equation 1)where Is is the reverse saturation current, IL is the short-circuit current, V is the voltage dropover the load, which creates a forward bias on the diode, and is determined primarily by theproduct IL x RL, the load resistance. In a real solar cell, other equivalent resistances such as shuntresistance and series resistance must be taken into account. The short circuit current (ISC = IL) isdetermined by the design of the cell and the materials used
Session 1526 Non-traditional Laboratory Experiments: Olive Oil Manufacturing and Testing. Part I: Freshman Engineering Experiments M. P. Gifford, E. G. Cervo, M. J. Savelski, S. Farrell, R. P. Hesketh and C. S. Slater. Rowan University. College of Engineering. Glassboro, NJ 08028AbstractOlive oil manufacturing and processing involves the application of many fundamentalchemical engineering principles and unit operations. These operations are not, however,traditionally explored in the chemical engineering curriculum. This paper presents thefirst set of experiments created as part of an NSF funded project whose goal is
three distinct but highly correlated areas of innovative design, entrepreneurship, and modeling. She is an Associate Editor for the AEE Journal.Ms. Allison Michelle RobinsonNur zge zaltin, University of Pittsburgh Nur zge zaltin is a Ph.d. candidate in the Industrial Engineering Department at the University of Pitts- burgh. She received her B.S. in industrial engineering at Bosphorus University in Turkey and her master;s degree in industrial engineering at the University of Pittsburgh, respectively. Her research interest involves improving innovation through modeling the design process.Dr. Larry J. Shuman, University of Pittsburgh Larry J. Shuman is Senior Associate Dean for Academic Affairs and professor of industrial
importance for Science and Engineering (S&E) to the United States has been documented ina series of reports for more than half a century. Nevertheless, critical issues for the nation’s S&Einfrastructure remain unsettled. Among them, America faces a demographic challenge withregards to its S&E workforce: Minorities are seriously underrepresented in science andengineering, yet they are also the most rapidly growing segment of the population.Underrepresented minority groups comprised 28.5 percent of our national population in 2006,yet in the same period, represented just 9.1 percent of college-educated Americans in science andengineering occupations. Minorities in science and engineering would need to triple theirnumbers to match their
AC 2012-5061: EXPLORING THE DIVERSITY IN FACULTY CAREERS:FORMATIVE AND SUMMATIVE ASSESSMENT IN A PREPARING FU-TURE FACULTY COURSEMs. Cyndi Lynch, Purdue University, West Lafayette Cyndi Lynch is the Director of Fellowships and Graduate Student Professional Development for the Grad- uate School. Lynch is a registered veterinary technician, focusing on animal behavior. She holds a bache- lor/s degree in animal science and a master’s of science degree in curriculum and instruction from Purdue University. Lynch administers the fellowship program for the university, counseling students on fellow- ship applications, and fostering positive experiences for fellows. In addition to the fellowship respon- sibilities, Lynch
., & Chapman, D. (2007). Upgrading or Replacing Your Learning Management System: Implications for Student Support. Online Journal of Distance Learning Administration, X(I).2. Watson, W.R., & Watson, S.L. (2007). An Argument for clarity: What are Learning Management Systems, what are they not, and what should they become. TechTrends, 51(2).3. Lonn, S., & Teasley, S. (2009). Saving time or innovating practice: Investigating perceptions and uses of Learning Management Systems. Computers and Education 53(3), 686–694.4. Little-Wiles, J., & Naimi, L. (2011). A Study of Traditional Undergraduate Student Engagement in Blackboard Learning Management System. Proceedings from 118th ASEE 2011 Conference. Vancouver
research with undergraduate students,’ http://www.wvresearch.org/index.php, Last accessed on 10/4/11 2. Ann, Q. Gates, Patricia, J. Teller, Andrew Bernat, Nelly Delgado, ‘Meeting the challenge of expanding participation in undergraduate research experience,’ department of computer science, University of Texas Page 25.653.13 at El Paso3. Sarah, S. Adams, ‘Starting and maintaining an academic year undergraduate research program,’ Mathematical association of America, http://www.maa.org/columns/resources/issue%204.html, Last accessed on 10/4/114. Janna, S. W., ‘The Design of a Fluid Meter Apparatus for
understanding of what motivates people can be beneficial to anyengineering student who takes on a leadership position whether it is in academia or othersettings.Bibliography1. Torres-Ayala, A.T. (2010, October). Work in progress: Future Engineering Professors Conceptions of Learning and Teaching. 40th ASEE/IEEE Frontiers in Education Conference. Washington, DC. October 27-30, 2010.2. Pintrich, P. & Schunk, D. (1996). Motivation in Education: Theory, Research & Applications. Englewood Cliffs, NJ: Prentice-Hall3. Ambrose, S. A., Bridges, M. W., DiPietro, M., Lovett, M. C., and Norman, M. K. (2010). How Learning Works: Seven Research-Based Principles for Smart Teaching. San Francisco, CA:Jossey-Bass
local, regional, and international conferences. The courseappears to have performed well with respect to many of the ABET outcomes. Page 25.729.9References[1] Bowman, R. J. “Electrical Engineering Freshmen Practicum,” Proceedings of the 2003American Society for Engineering Education Annual Conference & Exposition, 2003.[2] Farrow, D., and R. LeMaster. “Automation laboratory development enhances studentlearning.” Proceedings of the ASEE Annual Conference & Exposition, Chicago, IL, June 18-21,2006.[3] Scott, S., R. Athinarayanan, Xiaobing Hou, and Shuju Wu. “Integrated curriculum andlaboratory development of an undergraduate
AméricasPuebla.Bibliography1. Fogler, H. S. 2006. Elements of Chemical Reaction Engineering. 4th Ed. Prentice Hall: Upper Saddle River, NJ.2. Jonassen, D. H., Strobel, J., and Lee, C. B. 2006. Everyday problem solving in engineering: Lessons for engineering educators. Journal of Engineering Education, 95(2): 1–14.3. Jonassen, D. H. 2011. Learning to Solve Problems: A Handbook for Designing Problem-Solving Learning Environments. Routledge: New York.4. Jonassen, D. H. 2010. Assembling and Analyzing the Building Blocks of Problem-Based Learning Environments, in Handbook of Improving Performance in the Workplace, Volume One: Instructional Design and Training Delivery (K. H. Silber and W. R. Foshay, eds.), John Wiley & Sons: Hoboken, NJ.5. Flavell, J. H
& Engineering, Oct. 1996, Purdue University, April-June 1997.2. Thornton, L.; Nola, S.; E., G. R.; Asta, M.; B., O. G. Computational Materials Science and Engineering Education: A Survey of Trends and Needs. Journal of Metals, Computational Materials Education 2009, 61 (12).3. Vergara, C. E.; Urban-Lurain, M.; Dresen, C.; Coxen, T.; T., M.; Frazier, K.; Briedis, D.; N., B.; Esfahanian, A.; Paquette, L.; Sticklen, J.; LaPrad, J.; Wolff, T. F. Aligning Computing Education with Engineering Workforce Computational Needs: New Curricular Directions to Improve Computational Thinking in Engineering Graduates. 39th ASEE/IEEE Frontiers in Education Conference, San Antonio, TX, October 18 – 21, 2009.4. Lowe, D. B.; Scott, C. A.; Bagia, R. A
survey provided. Page 25.765.5Figure 1: Green Robotics with Lego Mindstorms Figure 2: Students Utilizing Lego Mindsorms Page 25.765.6S-STEMCurrently, the author of this effort is a co-principal investigator (or co-PI) on a NSF Scholarshipsin Science, Technology, Engineering, and Mathematics (S-STEM) funded grant. This grant hasa primary focus of supporting scholarships for academically talented students demonstratingfinancial need, enabling them to enter the STEM workforce or attending a STEM graduateprogram4. As a co-PI, the author of this effort is responsible for aiding in the selection
AC 2012-3326: INNOVATIVE CURRICULUM FOR ENGINEERING INHIGH SCHOOL (ICE-HS): STATUS UPDATEDr. Shamsnaz Virani, Pennsylvania State University, Great Valley Shamsnaz S. Virani, Assistant Professor of Systems Engineering at the Pennsylvania State University, Great Valley, earned her Ph.D.in industrial and systems engineering from the University of Alabama, Huntsville. She also holds a M.S. in human factors engineering from Wright State University and a B.S. in electrical engineering from The University of Pune, India. Prior to joining Penn State, Virani worked with the Research Institute for Manufacturing and Engineering Systems at the University of Texas, El Paso. She was also a Visiting Assistant Professor at the
in Education, Milwaukee, 2007.[7] D. Waldorf, S. Alptekin and R. Bjurman, "Plotting a Bright Future for Manufacturing Education: Results of a Brainstorming Session," in American Society for Engineering Education Annual Conference, Chicago, 2006.[8] S. J. Miller, R. Doshi, C. Milroy and P. G. Yock, "Early Experiences in Cross-Disciplinary Education in Biomedical Technology Innovation at Stanford University," Journal of Engieering Education, vol. 90, no. 4, pp. 585-588, 2001.[9] N. Holsermann, D. Grube and S. Bogeholz, "Hands-on Activities and Their Influence on Students' Interest," Research in Science Education, vol. 40, no. 5, pp. 743-757, 2010.[10] M. A. Vernier, B. E. Carruthers and R. J. Freuler, "Use of a Low-Cost
correct any serious design problems before the sensorsare fabricated. A key deliverable is the implementation of the design algorithm, usually in aspreadsheet (see Figure 4).Students were guided toward designing load cell transducers configured as circular aluminumrings because aluminum rings of various sizes were readily and inexpensively available from thedepartment machine shop. Some student teams whose members had machine shop experiencechose to design and fabricate transducers of other types, such as a C-shaped transducer whichhad multiple attachment points to allow its range to be adjusted and an S-shaped transducerwhich was similar to some commercial designs (see Figure 5). Figure 4: Load cell transducer design spreadsheet created by
presents practicalapplications of nanotechnology, fabrication and characterization of nanomaterials, and futurepossibilities. The course gives examples where nanoscale properties are different from bulkscale properties, and how these differences can be exploited for the development of commercialproducts.The paper describes the implementation of the NanoExposed! course including course topics,activities, faculty involved as instructors, guest speaker(s), and resources used. Specific topicsfrom different disciplines are given as examples. It also includes preliminary assessment resultsas well as student data such as the different majors enrolled in the course. The course was firsttaught during the Spring 2011 semester and taught again during the
for writing the paper, their activity was less frequent incomparison to teams 3 and 5. Team 1’s wiki history contributions revealed that only halfof the team members were writers of the paper for the most part. Their activitiesprimarily were content contributions and formatting. With only 17 percent of activityattributed to edits. In contrast, teams 3 and 5 had higher percentages attributed to edits,emphasizing more dialog between team members rather then individual contributions.Contributions history for teams 3 and 5 also showed that there were contributions fromeach of the team members, making their work experience more of a collaborativeprocess.The meaning of collaborative process for each of the team members is an importantconsideration
. Page 25.1015.12References 1. Azis, Y. and Osada, H., “Innovation in management system by Six Sigma: an empirical study of world-class companies.” International Journal of Lean Six Sigma, 2010, Vol. 1, No. 3, pp. 172-190. 2. Byrne, G., Lubowe, Dove., and Blitz, A., “Using a Lean Six Sigma approach to drive innovation.” Strategy and Leadership, 2007, Vol. 35, No. 2, pp. 5-10 3. Bisgaard, S., “Innovation and Six Sigma”, ASQ Six Sigma Forum Magazine, May 2008, Vol. 7, No. 3, pp. 33 4. Figueroa, E., and Conceicao, P., “Rethinking the innovation process in large organizations: a case study of 3M.” Journal of engineering and technology management. 17(2000) 93-109. 5. The theory
work were previously presented at the ASEE Southeastern SectionAnnual Conference in 200818.References 1. Ennis, B. J., J. Green, and R. Davies, “Particle technology: the legacy of neglect in the U.S.,” Chem. Eng. Prog., 90(4), 32-43 (1994). 2. Nelson, R. D., R. Davies, K. Jacob, “Teach ’em particle technology,” Chem. Eng. Educ., 29, 12-16 (1995). 3. Chase, G. G., and K. Jacob, “Undergraduate teaching in solids processing and particle technology,” Chem. Eng. Educ., 32, 118-121 (1998). 4. Dave, R. N., I. S. Fischer, J. Luke, R. Pfeffer, and A. D. Rosato, “Particle technology concentration at NJIT,” Chem. Eng. Educ., 32, 102-107 (1998). 5. Donnelly, A. E., R. Rajagopalan, “Particle science and
, when it comes to their mentors, students are more inclined to favorinformal interactions. They thrive under mentors who reach out, talk to the students, engage withtheir learning, and take an active role in their research experience, rather than just mentor fromafar.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.0552933.Bibliography1 Terenzini, P. T. (1999) Research and Practice in Undergraduate Education: And Never the Twain Shall Meet?High Educ, 38, pp. 37.2 Kenny, S. S. (1998) Reinventing Undergraduate Education: A Blueprint for America’s Research Universities. TheState University of New York: Boyer Commission on Educating Undergraduates in the Research University.3 Kenny