late1980’s and early 1990’s. Currently most universities require only one computer-programmingcourse for their engineering students (excluding computer engineering and computer science).This course is usually taught in C++ and in some cases in Java and FORTRAN. Until the fall2004 semester at Penn State, we offered two versions of this course (C++ and FORTRAN),where the C++ version was required by the majority of the departments. The course was Page 11.1231.2designed to cover fundamental concepts of programming (using C++ or FORTRAN), includingintroduction to computers and programming; data types, declaration and displays; assignmentand interactive
2006-1151: A COMPARATIVE ANALYSIS OF ONLINE AND IN-CLASSVERSIONS OF ENGINEERING CULTURESRosamond Parkhurst, Colorado School of Mines Rosamond S. Parkhurst (rshaffer@mines.edu ) is a graduate student in the Mathematical and Computer Sciences Department at the Colorado School of Mines. She received her B.S. in Mathematical and Computer Sciences with an area of special interest in Engineering from CSM. In 2002 she received the Boettcher Scholarship, a prestigious scholarship awarded to forty students in Colorado each year. Selection criteria include scholastic achievement, leadership and involvement, service to community and school, and outstanding character. Currently she is involved in an outreach
analysis algorithm development for software applications. Prior to working for the University of Texas, Dr. Foltz Biegalski utilized her expertise to support the development of technology in support of the Comprehensive Nuclear Test-Ban Treaty (CTBT). This includes the development of software to analyze beta-gamma coincidence data from radioxenon monitoring systems.Victoria Pratt, University of Texas-Austin Ms. Victoria S. Pratt graduated from the University of Texas in Austin's (UT-Austin) nuclear engineering department in May 2005, where she completed her thesis on a non-proliferation related topic. Before attending UT-Austin, Ms. Pratt was employed for two years by a semiconductor
Survey Employer Capstone Exam Survey Certification Annual & 5- Exam(s) Year Follow-up In-class Survey of Performance Grads Activities (Exams, presentations, etc.)Figure 1 Example Program Assessment Framework However, several factors call into question the reliability of course-based instructor madetests and examinations. According to Sewell9, non-academic factors such as work schedules,children at home, etc., might adversely affect student performance. Because more affluentcollege
forth between pages quickly, it may bebecause he or she wants to know the effect of changing a parameter. This type of analysis isextremely time-consuming, but can be very revealing. Future work will investigate these datamore closely.AcknowledgmentsThis material was supported by National Science Foundation grant number 0238269. Anyopinions, findings, and conclusions or recommendations expressed in this material are those ofthe authors and do not necessarily reflect the views of the National Science Foundation.References1. Hsieh, S. "Automated Manufacturing System Integration Education: Current Status and Future Directions," Proceedings of 2005 ASEE Annual Conference, June 12-15, 2005, Portland, OR.2. Schuyler, P.R., Implementing a
, “Microfabrication in Biology and Medicine,” Annu. Rev. Biomed. Eng., vol. 1, 401–425, 1999.4. P. Melvas, E. Kalvesten and G. Stemme, “Media protected surface micromachined leverage beam pressure sensor,” J. Micromech. Microeng., vol. 11, 617–622, 2001.5. A. D. Stroock, S. K. W. Dertinger, A. Ajdari, I. Mezic, H. A. Stone, G. M. Whitesides, “Chaotic Mixer for Microchannels,” Science, vol. 295, 647-651, 2002.6. A. Olsson, P. Enoksson, G. Stemme, and E. Stemme, “Micromachined Flat-Walled Valveless Diffuser Pumps,” J. Microelectromech. Syst. vol. 6, 161-166, 1997.7. G.-B. Lee, S. Chen, G. Huang, W. Sung, Y. Lin, “Microfabricated plastic chips by hot embossing methods and their applications for DNA separations and detection,” Sensors
Figure 2. Asynchronous templateFigure 3 below shows a classic SR latch, the most fundamental memory circuit studied inintroductory digital circuit courses. Figure 4 shows exactly the same circuit, but drawndifferently to emphasize the single feedback path, which holds the one state variable in thecircuit. The circuit remembers which of the two input variables, S or R, was most recently a 1,by recording on the output variable, Q, a 1 if it was S or a 0 if it was R. By realizing that this SRlatch, the most fundamental memory circuit in any static memory device, is actually anasynchronous finite state machine, one realizes the fundamental nature of this topic. S S
States.Historically, cities such as Gary (where a large percentage of the African American studentpopulation of Purdue University Calumet resides) evolved through the growth of industries suchas U. S. Steel. These communities grew and prospered through the 1960s as a result of theeconomic benefits produced by steel manufacturing and processing. However, this period ofprosperity suddenly ended in the late 1970s when the area experienced an economic recession.Many smaller steel mills went bankrupt and the larger ones began downsizing their plants. As aresult, the area’s population lost much of its economic base as thousands of people abruptlyfound themselves without employment. For example, at its peak, U. S. Steel Corporation (whichis located in Gary
because they have the final result. Changing the inputs and monitoring theirinfluence on the output will definitely help inspire students desire to answer the “what if”question, hence helping them to think out of the box and become a better designers who look atthe problem from all perspectives analyzing all possible scenarios. The impact of using this toolwill be monitored through regular surveys among the students, and through statistical analysis ofstudent’s performance.References1 R. C. Garcia and B. S. Heck, (Institute of Electrical and Electronics Engineers Inc., Piscataway, NJ, USA, Nashville, TN, USA, 2000), p. 515.2 C. T. Merke, in ASEE 2004 Annual Conference and Exposition, "Engineering Researchs New Heights
learning with community-based work.All of these definitions convey the idea that service learning allows the university to providebenefits to the community in which it is located while educating the students which it serves.Service learning is thus viewed as a form of experiential learning where course-based conceptsare reinforced in community settings which benefit from student involvement.Vaughn and Seifer suggest that “engineering is uniquely situated for the integration of servicelearning in the curriculum because of its emphasis on experiential education, problem solving,and working in groups.”5 Similarly, Pritchard, opines that “service learning engineering may beespecially promising” given ABET’s EC 2000’s “major design experience
Ergonomics and Human Factors. UK: Taylor andFrancis.8. Vora, J., Nair, S., Medlin, E., Gramopadhye, A. K., Duchowski, A. T., & Melloy. B. J. (2001), Using VirtualReality to Improve Aircraft Inspection Performance: Presence and Performance Measurement Studies, The HumanFactors and Ergonomics Society Annual Meeting. Minneapolis, MN.9. Alias Wavefront, Maya 3D modeling tool, www.alias.com, Last accessed 18 January, 2006.10. OpenGL Graphics API, www.opengl.org, Last accessed 18 January, 2006.11. Witmer, B.G., Singer, M.J. (1998). Measuring Presence in Virtual Environments: A Presence Questionnaire,Presence 7 (3), 225–240.12. Vembar, D., Sadasivan, S., Duchowski, A., Stringfellow, P., Gramopadhye, A. (2005), Design of a VirtualBorescope: A Presence
process or decisionphases perspectives. SUPPLY CHAIN MANAGEMENT Design Planning Execution S CREATE Product Design Portfolio Planning Product Transition U P P SOURCE Strategic Sourcing Supply Planning Purchasing & L Receiving Y MAKE Facility Location Production Planning Production C Design Scheduling H A
. Less cost of purchase: a system that is based on fieldbus technology requires significantly less hardware than a traditional system. 6. Savings: fieldbus based systems will have a) engineering savings, b) construction savings, c) maintenance savings, and d) operation savings. 7. Lower cost of expansion and change: Since fieldbus systems are cheaper to buy and deploy, they are also cheaper to expand and modify.There are many fieldbus networks. Noel classified fieldbuses as discrete buses and processbuses [15]. Discrete buses primarily focus in the discrete manufacturing area and are typicallyON/OFF action, simple switches or low-level sensors. Competing discrete buses are: AS-I bus,Devicenet, Interbus-S, Profibus DP, SERCOS
curriculum in general, and 6. The outcomes of teaching, as reflected in student learning.8The method or methods selected should be tuned to assess the desired aspects to beevaluated. The evaluator should also be selected with the end in mind—it should besomeone with expertise in evaluating the desired aspect(s).Time is also an important consideration. Faculty members are very busy and reluctant tocommit to excessively time-consuming projects. Many successful peer review projectsrequire a surprisingly small time commitment. A time commitment on the order of a halfhour per week or less is typically feasible—any program requiring significantly more Page
. 2001, Pages: S3A - S37.2. A. Q. Gates, Meeting the challenge of expanding participation in the undergraduate researchexperience, Frontiers in Education Conference, 1998. FIE '98. 28th Annual, Volume: 3, 4-7 Nov. 1998, Pages: 1133 – 1138.3. M. M. Ataai, Research Experience for Undergraduates at the University of Pittsburgh Department of Chemical and Petroleum Engineering, Frontiers in Education Conference, 1997. 27th Annual, Volume: 3, 5-8 Nov. 1997, Pages: 1140 – 1145.4. T. S. Berry and K. A. Kinney, GLUE: Sticiking with Engineering through Undergraduate Research. Proceedings of the 2005 ASEE Annual Conference & Exposition, Session 2592. Portland, OR (2005).5. S. Kiefer and N. Dukhan, Benefits of Undergraduate
2006-1394: THE DEVELOPMENT OF A GLOBAL WORLDVIEWKenneth Van Treuren, Baylor University Ken Van Treuren is an Associate Professor in the Department of Engineering at Baylor University. He received his B. S. in Aeronautical Engineering from the USAF Academy, his M. S. in Engineering from Princeton University, and his DPhil. at the University of Oxford, UK. At Baylor he teaches courses in laboratory techniques, fluid mechanics, thermodynamics, and propulsion systems, as well as freshman engineering.Steven Eisenbarth, Baylor University Steven Eisenbarth is Associate Dean of the School of Engineering and Computer Science at Baylor University. He received his B.S. in Mathematics and Physics from
of the evaluation is incorporated within the facility as web applications.While the second approach, involves formative and summative evaluation using a control groupand test group.5. References1. A. P. Boyle, D. N. Bryon, & C. R. C. Paul, Computer-based learning and assessment: A palaeontological case study with outcomes and implications, Computers and Geosciences, 23 (5), 573-580 (1997).2. T. K. Grose, Can distance education be unlocked, PRISM, April, 19-23 (2003).3. L. S. Chumbley, C. P. Hargrave, K. Constant, B. Hand, T. Andre, and E. A. Thompson, Project ExCEL: Web-based scanning electron microscopy for K -12 education, Journal of Engineering Education, April, 203-210 (2002).4. A. K. Kamrani and
doing method comparisonsthat has a fairly straightforward protocol and simple diagnostics, yet contains statisticallyrigorous internal and external validation. This work will hopefully aid in the development and Page 11.623.9validation of additional tools and methods for use in engineering education.AcknowledgementsFunding for this research was provided by the National Science Foundation, award # 9984484.References1. Wallace, K. and Burgess, S., Methods and Tools for Decision Making in Engineering Design. Design Studies, 1995, 16, 429-446.2. Pahl, G. & Beitz, W., Engineering Design: A Systematic Approach, pp. 139 and 400, 1996
., Katrina’s wake, EOS, American Geophysical Union, Vol. 86: 27, 333-334, 2005. 2. National Research Council. Meeting Research and Education Needs in Coastal Engineering, National Academy Press. Washington, D.C., 1999. 3. Graumann, A., Houston, T., Lawrimore, J., Levinson, D., Lott, N., McCown, S., Stephens, S., and Wuerts, D. Hurricane Katrina: A Climatological Perspective – Preliminary Report, Technical Report 2005-01, NOAA’s Nationa Climate Data Center, 2005. 4. Nickas, W. N., Renna, R., Sheppard, N., and Mertz, D. R., Hurricane-based wave attacks, Florida Department of Transportation, 2005 5. Chen, Q., Zhao, H., Hu, K, and Douglass, S. L, Prediction of wind waves in a shallow estuary. Journal of
students download the laboratory environment and interact with the virtual experiments independently.In multiplayer mode, the individual students – with the assistance of Half-Life 2’s networkinginterface that acts as a relay (see Figure 2) – connect to either a university server or anotheruser’s computer that is hosting a virtual laboratory environment. With multiple students loggedon at the same time, collaborative sessions are then possible where the laboratory experiment iscarried out by students as a group. This is of particular interest as it has been shown in thecontext of Asynchronous Learning Networks (ALN) that it provides for more effective learningwhen students can participate and interact as a group.8 Verbal and text
Page 11.837.5 Need / Stakeholder Concept Operational Market Identification Generation, Scenarios Opportunity Requirement Evaluation s Gathering and Selection and Analysis System Physical Total Design Functionalities Realization Retirement/Obsolesce Concurrent
2006-1673: EXAMINING THE IMPACT OF NANOTECHNOLOGIES FORSCIENCE, TECHNOLOGY AND SOCIETY (STS) STUDENTSAhmed Khan, DeVry University-Addison Ahmed S. Khan, Ph.D. is a senior Professor in the EET dept. at DeVry University, Addison, Illinois. He received his M.Sc (applied physics) from University of Karachi, an MSEE from Michigan Technological University, and an MBA from Keller Graduate School of Management. He received his Ph.D. from Colorado State University. His research interests are in the areas of Fiber Optics Communications, faculty development, and outcomes assessment, and, Internet and distance education. He is author of “The Telecommunications Fact Book” and co-author of “Technology and
students’ learning in communication and team building.Although extra efforts will be required from the faculty in project selection and coursecoordination, such interdisciplinary collaboration should be encouraged as it can bringsignificant impact to students’ learning experience.Bibliography1. Bachnak, R., Verma, S., and Coppinger, T., “Restructuring the Capstone Course Leads to Successful Projects,” Proceedings of the 2005 ASEE Annual Conference and Exposition, Section 1647, June 2005.2. Burbank, K., Holcomb, J., Cooper-Duffy, K., and Prohn, JK., “A Wheelchair Navigation System as a Collaborative Senior Project,” Proceedings of the 2005 ASEE Annual Conference and Exposition, Section 1347, June 2005.3. Chen, I.-M., Xing, S., Tay
2006-1714: DEVELOPING POSITIVE TEAMING IN A PRODUCTDEVELOPMENT AND ENTREPRENEURSHIP COURSE USING ANOFF-CAMPUS WEEKEND SEMINARRobert Weissbach, Pennsylvania State University-Erie ROBERT S. WEISSBACH is an associate professor of engineering in the Electrical Engineering Technology department at Penn State Erie, the Behrend College, where he is currently the program chair. His research interests are in power electronics, power systems and multidisciplinary education.Jana Goodrich, Pennsylvania State University-Erie JANA G. GOODRICH is a lecturer in management and marketing for the Sam and Irene Black School of Business at Penn State Erie, The Behrend College. Prior to joining the faculty at
muchfaster than other subsystems. It should also be noted that all the subsystems were designed basedon the CubeSat design constraints and BillikenSat 1’s mission constraints. All the subsystemswent through rigorous design process (namely systems requirement, conceptual design, detaileddesign and final design). This paper gives the description of these subsystems at the Final DesignPhase. Faculty Advisor: Sanjay Jayaram Student Program Manager: Abraham Grindle (AE) Mechanical Structure and Analysis: Power Distribution: Abraham Grindle
. The instructor and the students put all their class and lab time into conducting theprojects for the rest of the semester. They spent approximately 4 hours a week for 8weeks. Teams met to sketch and develop their designs, obtain needed materials, andbegin the production process. Figure 1 shows the conceptual designs and CAD drawingdone by the students after a couple of iterations. The instructor and the project leadershelped to finalize their conceptual designs. Team 1’s idea was to build a ‘multi-activitystation’ which had 4 different activity sites such as waterwheel, foot pump/bubblegenerator, torque converter, and funnel. Team 2’s idea was to build a ‘water pachinkostation’ where children could pump water to the top of the station and
considerations: the targeted audience/customer(s); identified learning objectives;sequencing of instruction; selection of instructional strategies; evaluation ofaudience/customer(s) learning and instructional effectiveness.Given the Archer Center’s roots in Student Development, assessment has always played anintegral part in the delivery of services and programs outside of the curriculum. This knowledgeand experience has been applied to the credit bearing courses taught by the Archer Center for theSchool of Engineering. This paper will address the continuous feed-forward evolution ofProfessional Development I (PD-1) and Professional Development III (PD-3). The descriptionof the assessment process and some of the impacts will follow a historical
Page 11.184.3was offered as an online course; hence all aspects of the case study including all that pertains tothis article were completed via online instruction. The purpose of this course was to providestudents with a background in industrial quality, focusing on techniques that yield better productsand processes. The key topics covered are managing for quality, models for continuousimprovement, describing processes, statistical process control and quality function deployment.The adapted B & S case study would serve as a platform to measure the effectiveness of this casestudy in delivering instruction on how to use quality deployment function in industrial practice.The quality function deployment process has made inroads as one of the
2006-2197: DOCTORAL STUDENT CO-FOUNDERS: A CASE STUDY OFADVANCED LASER MATERIALS, L.L.C.Robert Evans, University of Texas-Austin R. S. Evans, Ph.D. is a post-doctoral fellow and lecturer in the Department of Mechanical Engineering at the University of Texas at Austin. His current research focus is on technology commercialization and engineering education. Dr. Evans completed his doctorate in mechanical engineering at UT Austin in 2005. His dissertation covered materials and product development for rapid manufacturing. He also co-founded a company based on his doctoral research concurrently with his doctoral studies. Prior to enrolling at UT he worked as a manufacturing engineer and
approaches to rationale refer to processes in which the goal of the DR is to describethe thinking process that the system designer(s) utilize. Alternatively, prescriptive approaches areaimed at improving the design process by improving the reasoning process of the systemdesigners [1]. Also, the extent to which the method of DR capture intrudes in the design process isa characterizing feature. Most of the DR approaches are of the intrusive nature, though over thepast 15 years there has been extensive research done to find less intrusive ways of capturing andformalizing DR [7]. This work in reducing the intrusiveness of DR is being done in an attemptreduce the overhead involved with capturing and utilizing DR, and make it much more intuitiveto