(1), 26-39. 3. Rugarcia, A., Felder, R. M., Woods, D. R., & Stice, J. E. (2000). The Future of Engineering Education: I. A Vision for a New Century. Chem. Engr. Education, 34(1), 16-25. Page 25.787.74. Wang, S. C. (2009). In K. Jusoff, S. S. Mahmoud, & R. Sivakumar (Eds.) University Instructor Perceptions of the Benefit of Technology Use in E-Learning. International Conference on Computer and Electrical Engineering (pp. 580-585). Los Alamitos, CA: IEEE Computer Society. Page 25.787.8
remediation in spatial visualization by PSVT:R Pre-Test for all engineering and sciencefreshman students. Based on the Pre-Test results, all students who scored lower than 60% will berequired to take a spatial visualization course. After the training course, all those students whofailed the Pre-Test have passed the Post-Test. It is recommended that even earlier detection andremediation would be more helpful. Testing incoming engineering students and offeringintervention before they arrive on campus and begin their foundational first year course wouldfurther increase student success.8. References[1] Sorby, S., "Educational research in developing 3-D spatial skills for engineering students”, International Journal of Science Education, Vol. 31
the root of an equation f x 0 are 1. Evaluate f x symbolically 2. Use an initial guess of the root, xi , to estimate the new value of the root, xi 1 , as f xi xi 1 = xi f xi 3. Find the absolute relative approximate error a as xi 1 xi a = 100 xi 1Compare the absolute relative approximate error with the pre-specified relative error tolerance,s . If a > s , then go to Step 2, else stop the algorithm. Also, check if the number ofiterations has exceeded the maximum number of iterations allowed. If so, one needs to terminatethe algorithm and notify
launched. That is, after a certain amount oftime, the input wave is turned off. This is an extremely useful case to examine as it isfundamental to radar systems. We would expect reflections to occur at both the leading and thetrailing edges of the pulse. A much more significant programming challenge would be to allowthe load impedance to be complex. While it is easy to handle complex loads in a steady statetime-harmonic situation, it is much more difficult to handle them for non-steady state conditions.Code described in this paper and other examples presented at the conference will be madeavailable on the author’s website: http://www.eng.auburn.edu/users/wentwsm/References:1. MATLAB is a registered trademark of The MathWorks, Inc.2. S. Wentworth
“marker” at the CM of the linkand plotting its velocity for a motion cycle. Here the specifications are that the driving jointimposes a constant angular velocity of 70 rpm (high crank speed) to the link driving themechanism. Students would be asked to confirm the value of the velocity at, for example, 1s byusing hand calculations. These can be obtained by calculating the velocity of the connectionsbetween the driving crank and the link (329.87 mm/s at 150.37 degrees) and between the linkand the lever (262.83 mm/s at 171.06 degrees – perpendicular to the lever). Then the angularvelocity of the link can be found (0.4161 clockwise) and the velocity of the CM can becalculated (magnitude: 291.53 mm/s). For the kinematic example (Figure 3) students
they will encounter as they enter the workforce.Bibliography1. S. Datar, C.C. Jordan, S. Kekre, S. Rajiv, and K. Srinivasan, "The Advantages of Time-Based New Product Development in a Fast-Cycle Industry," Journal of Marketing Research 34 (1), 36-49 (1997).2. G. Kalyanaram and G.L. Urban, "Dynamic Effects of the Order of Entry on Market Share, Trial Penetration, and Repeat Purchases for Frequently Purchased Consumer Goods," Marketing Science 11 (3), 235-250 (1992).3. D. Hall and J. Jackson, "Speeding Up New Product Development," Management Accounting 74 (4), 32-36 (1992).4. M.A. Cohen, J. Eliashberg, and H. Teck-Hua, "New Product Development: The Performance and Time-to- Market Tradeoff," Management Science 42 (2), 173
, coupled with high anxiety and low self-efficacy can lead to low teachereffectiveness and lack of interest from the K-5 students. At our institution, The College ofNew Jersey (TCNJ), it was felt that the Department of Technological Studies, housed withinthe School of Engineering, was well positioned to provide a unique K-5 academic major bycombining the T&E with the M&S components of STEM, resulting in a program breadth thatmatches well the breadth of skills needed by a highly skilled K-5 teacher.Such a program was established at TCNJ in 1998 and is formally referred to as the Math-Science-Technology or MST program. The program has substantial requirements in allSTEM areas, and takes a truly integrated-STEM approach. To the authors
is also to be collected with respect to instructor time for delivery;instructor experience; student experience; and student interaction in groups. Results will bepresented at the conference.Bibliography1. Grassman, S., “Teaching Engineering Economics via Distance Education,” Proceedings of the ASEE AnnualConference and Exposition, 2002.2. Ibrahim, W. and R. Morsi, “Online Engineering Education: A Comprehensive Review,” Proceedings of theASEE Annual Conference and Exposition, 2005.3. Kolowich, S., “Going for Distance,” Inside Higher Education, www.insidehighered.com, August 31, 2009.4. Kolowich, S., “Learning from Online,” Inside Higher Education, www.insidehighered.com, December 7, 2009.5. Thiagarajan, G. and C. Jacobs, “Teaching
. Reputation systemsA reputation system is a way of measuring the reliability of ratings. Scores assigned byreviewers and metareviewers can be factored into a student's reputation. Several algorithms[4, 5, 6] have also been published for determining reviewer reliability, based only on thescores assigned by reviewers. These algorithms consider (i) consistency of scores assignedby this reviewer with scores assigned by others to the same work, and (ii) spread, how muchthe highest score the reviewer assigned differs from the lowest score (s)he assigned. Somealgorithms also consider (iii) leniency, the tendency of a reviewer to give scores that arehigher than other reviewers. Research [6] demonstrates that these algorithms provideeffective quality control
experience to enter the high technology workforce upon completion of BS degree; and5. Perform a regular and thorough assessment of the ET2 program that will be used for the contract reporting purposes and also will be an integral part of our standard program review process.In August 2008, NSF awarded us a four-year grant from its S-STEM program to support the ET2Transfer Scholars1. In support of this project, the university will contribute $50,000 to ensurethat continuing ET2 scholars have financial support after the grant expires and help themgraduate on time. This support indicates the university’s enthusiasm, a firm commitment ofservice to our EET students, and an endorsement of the goals and objectives of the ET2 program.For AY 2008-9, the
Saddle River, NJ, 2003.2. F. G. Martin, Robotic Explorations: A Hands-on Introduction to Engineering, Prentice Hall, Upper Saddle River,NJ, 2001. Page 10.349.7 “Proceedings of the 2005 American Society for Engineering Education Annual conference & Exposition Copyright 2005, American Society for engineering Education”3. J. W. Dally and S. J. Reeves, Introduction to Engineering Design, Book 7: Projects, Skills and LEGO Challenges,College House Enterprises, Knoxville, TN, 2001.4. B. S. Heck, N. S. Clements, and A. A. Ferri, “A LEGO Experiment for Embedded Control System Design,” IEEEControl Systems
about and can effectively use this system,researchers at Missouri University of Science and Technology, supported by the NationalScience Foundation, have set out to explore creative and effective means of teaching this systemto students. There are many segments of GIS, but for the purpose of this study we will beevaluating the transportation module created by Missouri S&T scientists and engineers tocomplement the Geographic Information System learning tool.The transportation module itself is a web-based help system that contains categories to explainhow to use many of the transportation-related capabilities of Geographic Information Systems.This module is to act as an aid to learning the application of GIS. The purpose of this study isto
-Level Diagram.Mnemonic Encoding Operation NOP 0000 Do no operation. Takes 2's complement of the number in NEG 0001 the accumulator. Takes 1's complement of the number in NOT 0010 the accumulator. Rotates the accumulator data one bit to ROR 0011 the right (with wrap-around). Transfers the data from the accumulator OUT 0100 aaaa to the selected output port
data (b) ≠ the ability to function in teams (d) ≠ understanding of professional and ethical responsibility (f) ≠ the ability to communicate effectively (g) ≠ a recognition of the need for, and an ability to engage in life-long learning (i) ≠ a knowledge of contemporary issues (j) ≠ the ability to use some of the basic techniques, skills, and modern engineering tools necessary for engineering practice (k).If these outcomes are clearly articulated and effectively assessed by the TYC program, this willhelp the program articulate smoothly with the engineering program(s) at the four-yearinstitutions. Community college programs are advised to work with their four-year partner(s) todevelop an assessment and evaluation process that
ofthe quarter to see how far the students feel that they have learned the concepts from the course.These questionnaires are designed to assess the students’ learning of the materials and theirawareness of the subject materials before and after taking the course(s). There are questions thatare common to both the questionnaires. The transfer of knowledge is one of the major ways ofassessing the students’ understanding of the concepts. To achieve this objective, the conceptsseen in the classroom need to be reinforced in such a way that the students can relate to situationsoutside the classroom. In this paper we will discuss some of the tools that we have been using in the courses andhow the students reacted in such an environment. The paper
. away in 15 weeks.Although much research has been conducted regarding workplace problems, howstudents experience workplace problem solving is still largely unknown. Since studentsare expected to be problem-solvers within the engineering workplace after graduation, itis important that they understand the nature of those problems that they will encounterand the specific challenges they are going to face in the real world.Not many researchers have investigated students’ perceptions of engineering workplaceproblem solving. Some of the existing studies we have found suggest that students mightnot have a good understanding of engineering workplace. For example, Jocuns, Stevens,Garrison, and Amos (2008)’s study indicates some students graduated from
device with cone shaped wind guide attachment) respectively. Table 1: Descriptive statistics with and without the WTA Page 24.184.5 Table 2: t-Test statistics with and without the WTAThe t-Test yields the mean of the Category 1 approximately as Mean=3.28 m/s while the mean ofCategory 2 resulted in approximately Mean 2=4.29 m/s. The p-value obtained from the analysiswas p=0.000. less than the alpha level of 0.05, which indicates that there is significant differencebetween the average means of the wind velocities with the use of custom constructed WTA withthe cone shaped wind guide
results to identify theresonant frequencies as part of their lab report.Introduction:A three-tiered structure serves as an excellent platform for students to conduct accelerometervibration measurements and analyze the acquired data with the ubiquitous Fast FourierTransform (FFT). While the concept behind the structure was originally developed at theUniversity of Pittsburgh at Johnstown 1, the current laboratory procedure has expanded theconcept by simplifying the structure, adding in an inexpensive adjustable vibration source thatallows for the exploration of multiple modes, and expanding the mounting possibilities of theaccelerometer(s).In conducting this lab, students gain experience with the mounting and use of accelerometers,learn about
: Contributions of Faculty to Student Engagement in Engineering. J. Eng. Educ. 97, 339–353 (2008).4. Shulman, L. Those who understand: Knowledge growth in teaching. Educ. Res. 15, 4–14 (1986).5. Loucks-Horsley, S., Stiles, K. E., Mundry, S., Love, N. & Hewson, P. W. Designing professional development for teachers of science and mathematics. (Corwin Press, 2010).6. Laurillard, D. Teaching as a design science: Building pedagogical patterns for learning and technology. (Routledge, 2012).7. Wenger, E. Communities of practice : learning, meaning, and identity. (Cambridge University Press, 1999).8. Hjalmarson, M. et al. Developing Interactive Teaching Strategies for Electrical Engineering Faculty. in Proc. 120th ASEE Annu. Conf. (2013).9
American Society for Engineering Education, Atlanta, GA.5. Silverstein, S. The Effects of Teacher Participation in a Scientific Work Experience Program on Student Attitudes and Achievement: A Collaborative Multi-site Study. http://scienceteacherprogram.org/SWEPTStudy/index.html36. Barrett, D. & Usselman, M. (2006). Assessing the Long Term Impacts of Scientific Work Experience Programs for Teachers. Annual Proceedings of the American Society for Engineering Education, Chicago, IL.7. Barrett, D. & Usselman, M. (2005). Experience to Impact: A Comparison of Models of University-Based Summer Internships for High School Teachers. Annual Proceedings of the American Society for Engineering Education, Portland, OR.8
method discussed previously 6, we found that to represent a segment, 3×3 matrix issufficient. In order to increase the efficiency rate, we tried to increase the matrix size. We firststarted with a 10×10 matrix, which was found to overflow during training session. So wecontinued with reduced sized matrices. After some continual experiment, we came to theconclusion that 7×5 was the best-fit matrix for our purpose. Here a 1 in the corresponding matrixcomponent represents occurrence of each segment and the rest of the components are representedby 0’s. thus we had to use only 35 neurons in the input layer to represent a sample input. TheKohonen layer is trained in unsupervised training method, which is done by machine-generatednoises involves
for its generous support of TiME.Bibliography1. National Innovation Initiative Final Report (2004): http://www.compete.org/pdf/NII_Final_Report.pdf2. “The Innovation Economy,” Business Week 75th Anniversary Issue, October 11, 2004.3. The Institute for Management and Engineering (TiME): http://www.tiime.case.edu.4. Cooper, R. G., Winning at New Producgts, 3rd ed., Basic Books, New York (2001)5. Ulrich, K. T. and Eppinger, S. D., Product Design and Development, 3rd ed., McGraw-Hill Irwin, New York (2004)6. Crawford, M. and Di Benedetto, A., New Products Management, 7th ed., McGraw-Hill Irwin, New York (2003)7. Koen, P. A., Ajamian, G. M., Boyce, S., Claman, A., Fisher, E., Fountoulakis, S., Johnson,A., Puri, P., and Seibert, R., “Fuzzy
data.ECE Score SheetPortfolio 1D#_____________This portfolio meets the following outcomes at the level of competence indicatedPersuasive Cover Letter _/2pts 6 5 4 3 2 1 0 Course # Page #s Highly Skillful Competent Minimally Less than Unmet Not Skillful Competent Competent Attempted1. Procedural Document _____ _____ _____ ______ ______ ______ ______ ______ ______2. Problem Statement _____ _____ _____ ______ ______ ______ ______ ______ ______3. Proposal
offer attenuation less than 0.2 dB/km.The introduction of optical amplifiers and wavelength-division multiplexing in the 1990’sexpanded the capacity and reach of fiber optic telecommunication systems dramatically. For “Proceedings of the 2005 American Society for Engineering Page 10.627.1 Education Annual Conference & Exposition Copyright © 2005, American Society for Engineering Education”example, Lucent Technologies’ Lambda Xtreme transport system can operate at 2.56 Tb/s (2.56trillion bits per second) over a distance of 1000 km or 1.28 Tb/s over a distance of 4000
give them ample opportunities and time to participate in this provenmethod of gaining work experience in their academic education.Bibliography[1] Sovilla, S. E., “Co-op’s 90-Year Odyssey,” ASEE Prism, 1998. pp.18-23.[2] Martinez, R. (2000). Recognizing the accomplishments of the National School-to- Work Opportunities Act(on-line document, http://www.stw.ed.gov/pr/taskforce.htm).[3] Brand, B., Partee, G., Kaufmann, B., and Wills, J., “Looking forward: School to work principles and strategiesfor sustainability”, Washington: American Youth Policy Forum, 2000.[4] Hamilton, M. A. and Hamilton, S. F., “Building strong school to work systems: Illustrations of keycomponents”. Ithaca, N.Y.:Cornell Youth and Work Program, 1998.[5] Hamilton, M. A. and
the numbers.Currently the mathematics, engineering and physics faculty members do not shareexplicitly a common approach to categorizing problem types and how to solve them.This work in progress is focused on having these faculty members discuss problemsolving, decide on a common approach, and present problem solving as an integratedtopic in each of the three course sequences. This paper will describe the process ofdetermining a consistent approach to problem solving, the planning necessary forimplementation in 2005-06, and an assessment process to compare a pilot group tocontrol group(s). The ultimate goal is to make the learning process more efficient for thestudents and to aid them in seeing more connections between their
buildings for several days at a time anddevelop a very good profile of what is happening without the commitment of permanentlyinstalling expensive measurement resources. In an age that is increasingly dependant ontechnology, power outages have become nearly intolerable. Therefore, this power monitor wasdesigned to make its installation and removal electrically transparent to all except the user(s).System Development The power meter design has revolved around low-cost and ease of use as high priorities. Thecomponents are such that all data capture and storage is done internally and currently may onlybe viewed through a device connected via RS-232. The device will appear as an ordinary “blackbox” that sits conveniently by the area to be measured
employed in the instruction. The student responsesfrom these activities and projects were quite favorable.Bibliography[1] Voland Gerard, Engineering by Design, Addison Wesley. 1999.[2] Hauser, J. R., and Clausing, D., “The House of Quality,” Harvard Business Review, May-June 1988, pp.63-73.[3] Raju, P. K., and Sankar, C. S., Introduction to Design Through Case Studies with CD-ROMSupplements, Tavaneer Publishing Company, 2003.[4] Raju, P. K., and Sankar, C. S., Della Steam Plant Case Study: Should The Turbine Be Shut Off? with aCD-ROM Supplement, Taveneer Publishing Company, 2000.[4] Raju, P. K., and Sankar, C. S., Crist Power Plant Case Study: Planning for a Maintenance Outage witha CD-ROM Supplement, Taveneer Publishing Company, 2000.SOM
, J. and P. J. Moore, The Process of Learning, Prentice Hall, Englewood Cliffs, NJ (1993). 3. Felder, R. M. and L. K. Silverman, “Learning and Teaching Styles in Engineering Education,” Engineering Education, 78, 674-681 (1988). 4. Felder, R. M., “Meet Your Students 6. Tony and Frank,” Chemical Engineering Education 29(4), 244-245 (1995). 5. Felder, R. M., “The Effects of Personality Type on Engineering Students Performance and Attitude,” Journal of Engineering Education, 91(1), 3-17 (2002). 6. Wankat, P. C., and F. S. Oreovicz, Teaching Engineering, McGraw-Hill, Inc., New York (1993). 7. Newell, J. A. “Hollywood Squares: An Alternative to Pop Quizzes,” Proceedings of the 1999 AIChE
. Page 9.124.8 Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition Copyright 2004, American Society for Engineering EducationBibliogr aphy 1. Haque, M.E. "Web-based Visualization Techniques for Structural Design Education" American Society for Engineering Education, 2001 ASEE Annual Conference Proceedings, Section 2793 Multimedia, Albuquerque, NM, (2001). 2. Haque M.E., Vamadevan A., Duraimurugar S., and Gandlur Y. Java and VRML based Interactive Reinforced Concrete Design Course Studio. American Society for Engineering Education, ASEE 2000 Annual Conference Proceeding, Section 1315 Use of Computer Technology to Enhance CE Education