-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
S δ L Figure 1: A simply supported beam with symmetric overhang (L - beam length, S - span between the two support points, δ - overhang length) Page 10.171.1 Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright 2005, American Society for Engineering EducationK1 is the so-called transformed fundamental root of the frequency equation and can benumerically calculated through a specific iterative procedure as detailed in [1]. Note thatthe value of K1 depends only on the
ILLUSTRATING ENGINEERING CONCEPTS WITH A HOUSEHOLD WATER FILTER G. Rajaram, D. M. Pai and R. S. Chauhan Department of Mechanical Engineering North Carolina A&T State University 1601 E Market Street, Greensboro, NC 27411AbstractFiltration and other methods of treatment of household drinking water supplies have becomecommon in order to prevent the potential health hazards that can be caused by the untreated tapwater. Filtration is been done at several stages based on the requirements from the governmentbody, using different types of water filters. The most common small scale water filters used
tensorial transformation laws derived using Figure 1. Theresulting stress transformation is: σ x C 2 S2 − 2SC σ L 2 σ y = S C 2 2SC σ T (2) τ xy SC − SC C − S τ LT 2 2 where, C = cos θ and S = sin θ. With this result, the constitutive relation in terms of laminate coordinates is2: σ x Q 11 Q 12 Q 16 ε x
that is suited to their mission. They thusneed the help of people with strong technical backgrounds. Service learning links these twoneeds and provides a means to enhance both the community and undergraduate education. While service-learning has been well established in many disciplines in higher education,engineering as a whole has been much slower to adopt the pedagogy (Tsang 2000). There areexamples of service-learning that have been effectively integrated and used in an engineeringcontexts [ Duffy, J., Tsang, E., and Lord, S]. Examples include first-year introductory courses[Hobson,Tsang], capstone senior design courses [Catalono], multidisciplinary approaches[Nagchaudhuri, A., Eydgahi, A., and Shakur, Coyle 1997] and integration of co
about 80[kRPM] . The JET-A fuel averaged an angularacceleration of 4.50+/- 0.20 [kRPM/s] and the biodiesel from unused oil averaged 3.50+/- 0.44 [kRPM/s]. The engine acceleration using biodiesel from used oil was about 15%less than that of biodiesel made from unused oil, but unfortunately the fuel was depletedbefore the formal tests were run.ConclusionsTTL includes in their operations manual [4] a variety of acceptable fuels; JET-A, A-1, B,4,5,8, heating fuel oil, diesel kerosene and ‘gaseous fuel system’. The JBU tests haveextended the fuel menu to biodiesel made from unused or lightly used vegetable basedcooking oils. The extension to themenu of fuels for the SR-30 engine is to develop abroader educational experience. Beyond the testing
Purdue University. This course, Plastics ManufacturingSystems (MET 490), is a capstone-type course for students interested in machine design andmanufacturing. It focuses on the design of plastics manufacturing equipment. Since most plasticsmanufacturing processes contain some thermal control, this course was a good test bed for theheat transfer module.In order to provide a baseline for assessment of the module, some questions were posed tostudents in the first class period. These were: 1. If oil is flowing through a heated pipe, what is (are) the heat transfer mode(s) by which Page 8.414.3 heat is transferred to the oil?Proceedings
Heat Kinetics S Transfer Transfer c o u r Mass Plant Process s Transfer Design Control
Academy Press.McKenna, A., McMartin, F., Terada, Y., Sirivedhin, V., and Agogino, A. (2001) “A Framework for InterpretingStudents' Perceptions of an Integrated Curriculum,” Proceedings, ASEE Annual Conference, Albuquerque, NM.McInerny, S., Stern, H.P., and Haskew, T.A., 1999, “Applications of Dynamic Data Analysis,” IEEE Transactionson Education, 42:4, 276-280Roedel, R. J., El-Ghazaly, S., and Aberle, J.T. (1998) “An Integrated Upper Division Course in Electronic Materialsand Electromagnetic Engineering -Wave Phenomena for Electrical Engineers,” Proceedings, Frontiers inEducation, Tempe, AZ.Roedel, R. J., El-Ghazaly, S., Rhoads, T.R., and El-Sharawy, E. (1998) "The Wave Concepts Inventory - AnAssessment Tool for Courses in Electromagnetic
Session 1793 Innovative Strategies for Teaching Graphics Communications – Designing Residential and Commercial Properties in an Introductory Course David S. Cottrell Pennsylvania State University at HarrisburgIntroductionThis paper describes the integration of design projects during the Fall Semester, 2003,into the curriculum of an introductory graphics communications course at Penn StateUniversity at Harrisburg. These projects served a double purpose of reinforcing topicstaught in the classroom as well as introducing students to the engineering design processwith their
capillaries veins 0 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 time (s) Fig. 2. Typical plot of pressures during one heart cycle at five nodes around the systemic CV loop using Matlab simulation. After obtaining computer simulation results for typical healthy human CV parameters,the students must research three common CV abnormalities: anaphylactic shock, left heartfailure, and hypovolemia. Each student must describe the physiological
Session 1794 Effects of Pre-Freshman Program for Minority Students in Engineering Keshav S. Varde College of Engineering and Computer Science University of Michigan-Dearborn Dearborn, MichiganAbstractThe College of Engineering and Computer Science at the University of Michigan-Dearborndecided in early 1990s to increase, retain and graduate more minority students than in yearsbefore. A study was conducted to determine specific areas in engineering programs that impactedstudents’ success; it revealed that students
83.444 83.500 83.443 0.689 0.138 Variable Minimum Maximum Q1 Q3 Hardness 82.000 84.900 82.900 83.950 Page 8.505.3 Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition Copyright 2003, American Society for Engineering EducationThe histogram is unimodal and fairly symmetric. Thus, the mean and standard deviation are thepreferable measures of center and spread for this sample.After the sample(s) have been examined, students