-figure display, and an LED Strip. The LED strip shows the actual activefunction. In the laboratory students are taught basic NC oriented programmingtechniques using manual inputs to the controller. All functions of the system includingcommissioning, programming, operation and diagnostics are executed directly on theSPC 100 in a manner similar to the approach used in an industrial setting.Response of Festo™ ControllerThe response of the Festo™ Controller from the intial position to desired position asshown in Figure 3. Figure a & b shows the movement of slider from 208 to 130 units(right to left) and from 24 to 130 units (left to right). a b
Kolb learning cycle and the 4MAT system in engineering education. Journal of Engineering Education, 82(2), 70 – 77. [13] Sharp, J. E., Harb, J. N., & Terry, R. E. 1997. Combining Kolb learning styles and writing to learn in engineering classes. Journal of Engineering Education, 86(2), 93 – 101. [14] Herrick, B., Budny, D., & Samples, J. 1998. Teaching to your audience. Frontiers in Education Conference, Session T1H, Tempe, AZ. [15] Meyers, C., & Jones, T. B. 1993. Promoting active learning: Strategies for the college classroom. San Francisco: Jossey-Bass Publishers. [16] Hein, T. L. 1995. Learning style analysis in a calculus-based introductory physics course. Annual Conference of the
, 1998.7. Pandit S.V., Clark R.B, Giles W.R. and Demir S.S. A Mathematical Model of Action Potential Heterogeneity in Adult Rat Left Ventricular Myocytes. Biophysical Journal, vol. 81, p. 3029-3051, 2001.8. Rasmusson R. L., Clark J. W., Giles W. R., Robinson K., Clark R. B., Shibata E. F., Campbell D. L.: A Mathematical Model of Electrophysiological activity in a Bullfrog Atrial. Am. J. Physiol., 259 : H370-H389, 1990.9. Riemer T.L., Sobie A., and Tung L.: Stretch-induced changes in arrhythmogenesis and excitability in experimentally based heart cell models. Am. J. Physiol., 275:H431-H442, 1998.10. Winslow R.L., Rice J., Jafri S., Marban E., and O’Rourke B. Mechanisms of altered excitation-contraction coupling in canine
-Campus,” College Teaching, vol 47, no. 4, 130-135.[5] Dille, B. and M. Mezack, “Identifying Predictors of High Risk Among Community College Telecourse Students,” Journal of Distance Education, 5(1), 24-35, 1991.[6] Hailey, David E. and Christine E. Hailey, “Genre Theory, Engineering Education, and Circumventing Internet Bandwidth Problems,” Proceedings of the Frontiers in Education Conference, 2002 < http://fie.engrng.pitt.edu/fie2002/papers/1042.pdf>.[7] Hailey, David, Keith Grant-Davie, and Christine Hult, “Online Education Horror Stories Worthy of Halloween,” Special issue of Computers and Composition, 387-397, Winter 2001.[8] Kirkpatrick, A. and B. Willson, “Computation and Experimentation on
Educationinput circuit), mathematical calculation, and the value back output to the Trainer (and on to theoutput circuit).…portA dw 300hportB dw 301hcontrol dw 303hcontrol-value db 90hpitch_in db ?pitch_out db ?zero_pitch db 0Feh…Ports A and B and the Control Register are located at memory locations 300h, 301h, and 303h.The control value is set as 10010000b (90h). This control value sets the ports to their I/Ofunction. D7=1; puts the Trainer into Input / Output Mode. D6-5=00; sets the Trainer in basicI/O mode (other options would be I/O with handshaking and outputting data with handshaking).D4=1; sets all 8-bits of Port A to Input mode. D3, D2, D0 all
interviewed. The correlation andcoverage results of the objective mapping for each course are located in Appendix B. Figures 1and 2 present the departmental summaries of correlation and coverage per learning objective.Figure1 creates a good overall picture of each department by showing the level of correlation thedepartment has with each objective. The tables (Appendix B) show the number of coursesreceiving a correlation rating of Strong, Moderate, or None for each of the objectives with themaximum x-value equal to the total number of required laboratory courses in the department. Ineach of the departments, at least one objective received more ratings of No correlation than eitherof the other ratings, but no objective received only ratings of No
deviation being 2.6 and one group selecting as many as 15 actions. Finding the bestsolution to the problem did not require doing all the actions. The two teams that identified theoptimal solution included 8 and 9 actions on the action plan as is shown in Table 5, which isclose to the average number of tasks, and interestingly these two teams selected an almostidentical action plan. Table 5. Actions plans for teams with best solutions Actions Performed Team A Team B Calculate annual revenues and costs for alternatives x x Get financial information from Accounting x x Calculate income and cash flow
for repeatingeach data byte was to synchronize the transmission and reception patterns of the robots. On thereceiving end, the computer program executed a ‘receive’ command followed by a ‘wait’command. This resulted in the receiving robot receiving one data byte every 5 millisecondsapproximately. The choice to repeat each data byte five times was arbitrary, and synchronizationcould have been achieved using many different repetition patterns. The first five data in the Figure 3.6: Illustration of the transmission and reception patterns used by the robots in the experiment in order to maximize the reliability of one-way communication. The letters a, b, c, and d, represent the directional data [deg], direction checksum, displacement [3
. Control software is bundled into a library ofLabVIEW virtual instruments (VIs). The highestfunctions available to students as part of the libraryare individual axis movement VIs. (figure 3)Although robot control is possible using only theindividual axis movement VIs asdistributed,students are strongly encouraged to modify themand utilize the more basic modules to customizeand fine-tune the robot movement applications.This approach has yielded some outstanding resultsin student projects. Figure 3 Front Panel of Axis B Movement VI.Student Response to the Course and its Objectives The response of the student body
course.• The cohorts of students would be similar in terms of defined criteria (e.g., GPA, fraction of commuting students, fraction of co-op students), and the students would not cross over from the control to the experimental sections and vice versa.Given the constraints of our program (multiple co-op tracks, personnel limitations), we decidedto proceed without forming special cohorts and to evaluate the program using several assessmentinstruments. These instruments allow us to track individual students; data from individualstudents can then be used to identify populations with similar exposure to experimentaltreatments (e.g., population A had five ‘e’ courses, population B had four
linear ordinary differential equations, with some treatment of both the classical approach and the Laplace transform approach.(6) Provide a basic treatment of statistics to include probability density functions, probability distribution functions, statistical parameters, and the processing of random variables with MATLAB.(7) Provide introductory treatments of the following topics with MATLAB support as appropriate: (a) difference equations (including the z-transform), (b) spatial vector analysis (including scalar and vector products in rectangular coordinates), (c) curve- fitting of experimental data, and (d) optimization principles.(8) Develop competency in the use of MATLAB to prepare professional plots that can be
Session 3432 A New Introductory Laboratory Course for Electrical and Computer Engineering M. C. Öztürk, J. Trussell, C. Townsend, G. Byrd, A. Mortazavi, M. Baran, T. Conte, B. O'Neal, G. Bilbro and J. Brickley North Carolina State University Department of Electrical and Computer Engineering Raleigh, North Carolina AbstractA new Electrical and Computer Engineering (ECE) curriculum was recently adapted at NorthCarolina State University, ECE
entrepreneur.In examining technically-oriented entrepreneurs, Robert Edwards9 lists three primary causes (a)independence, (b) challenge and (c) monetary reasons to be low on the list as being critical to thehigh tech entrepreneur. Freeser and Dugan10 have determined that four factors, distilled fromeleven motivational elements, are able to set out the parameters that make up the motivation tobecome entrepreneurial: (a) feeling of frustration with the employer (b) desire to avoid workingfor others and be properly rewarded for one’s own efforts (c) drive for challenge andadvancement (d) intense drive to do one’s own thing, to develop one’s own ideas.Teaching of EntrepreneurshipThe field of “Teaching of Entrepreneurship”11 has been divided as to whether
conversions. The end result was a simplifiedanalysis on transdermal patches7. A copy of this assignment is in Appendix B. Page 8.730.6Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition Copyright © 2003, American Society for Engineering EducationIn addition to simply practicing unit conversions, this assignment introduced students to severalBiomedical Engineering topics. Transdermal patches are introduced to the classes. Studentslearned what the patches are used for, how they work, and how this type of patch is designed byBiomedical Engineers. Some of the questions
"contains the results of these measurements from a recent month. You have been asked to make the followinganalyses: a) Describe the data forming the population (include min, max, mean, median, mode, range, variance, standard deviation). b) Create a random set of three sample populations containing 10, 20 and 50 data points respectively. Describe the statistics of the sample for each. Use Excel for random selection of the sample data set. c) What is the percentage error for each sample mean and variance in comparison to the population? d) Plot histogram for the population and each of the sample data sets and compare their distribution. e) If you were to submit your findings to the EPA, which set of data would you use for your
students. • To illustrate the utility of their core subjects in the context of a hands-on project.In the balance of this paper, we first present the acceleration-logging system we devised anddescribe how it works. We then discuss the structure of the subject and close with the results ofthe two times it has been offered and our conclusions to date. In this paper, abbreviations for SIunits are in roman font, whereas mathematical symbols including the acceleration due to gravity(g) are italicized.The SystemA block diagram of the electronics system is shown in Figure 1, and a photo of the prototypeboard (front and back) is shown in Figure 2a and b. The circuit is powered by a 3-V, high-discharge-rate lithium cell and incorporates four integrated
Page 8.157.2environmental engineering. Because of its timing and its broad audience, the course must excite Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition Copyright 2003, American Society for Engineering Educationcadets and provide a positive first impression of engineering. The formal course objectives are:1. To give cadets a technically based, working knowledge of fluid mechanics. a. Define and determine the fundamental physical properties of fluids. b. Apply the laws of conservation of mass, momentum and/or energy to static fluids, general fluid flows, flows in conduits, and open channels. c. Predict performance/behavior of a full
. Although no consensus has been reached for many of these expressions, we refer to theAmerican National Standard T1.523-2001 Telecom Glossary 2000 [18], Webster’s dictionary,and the work done by specific researchers in this area. • virtual instruction: training that (a) in which usually live instruction is conveyed in real time via telecommunications facilities, (b) that may be accomplished on a point-to-point basis or on a point-to-multipoint basis, and (c) may assume many forms, such as a teleseminar, a teleconference, or an electronic classroom, usually including both audio and video. Synonyms: distance learning, distance training, electronic classroom, teletraining.[18] • on-line: pertaining
member self evaluation, andopportunities for small amounts of extra credit. Course grades were based on a 90%-A, 80%-B,70%-C, 60%-D, <60%-F scale, allowing the WebCT discussion points to represent a one-lettergrade value.Active classroom strategies were used to keep the classroom lively and the students engaged.Students who were actively engaged in class discussions, asked especially deep, well thought outquestions or participated to a clearly higher degree than their classmates were awarded a smallindex card. The students placed their name on the card and turned it in at the end of class. Thesecards were part of their participation grade in the course with each card being worth a minimal 0.5points. This gave the students a tangible reason
“stakeholder” view of professionalethics.3.1 Behavioral AnalysisBoth identifying what is ethical and acting on that knowledge are human behaviors. They aresomething an individual does. Theoretically if we are to claim that an individual is behavingethically, we should be able to identify specific actions that we identify as ethical. The analysisproposed here is based on a theory of learning or modifying behavior developed by B. F. Skinnercalled behaviorism. [4] Other learning theories exist, to be sure, and new ones come into vogue periodically. Forexample, we are currently seeing a surge of interest in constructivism and the various modelsbased on cognition. Behaviorism was chosen for a variety of reasons. First, it is currently ahighly
such a availability, survivability, reliability, and safety that will impact the design and implementation of an embedded system (b) The student can use well-known design patterns in the design and implementation of an em- bedded systems to address high-integrity concerns such a availability, survivability, reliability, and safety 2. To be able to model and analyze a system in order to observe system characteristics at the system architecture level (a) The student can design a system architecture that incorporates both hardware and software behaviors (b) The student can analyze a system architecture using different techniques including model-based analysis and
. A tutorial movie used to walk students through Pro-Engineer step by step.In Camp A and B students view the parts used to make a catapult and then see the partsassembled. They copy drawings make the individual part in Pro-Engineer guided in each step bythe soldiers in the tutorial movies. As the students complete Camp B they are sent to Camp C Page 8.519.6with a letter of recommendation and challenged with reverse engineering a captured catapult. Thesoldiers in Camp C give general instructions about the techniques used but do not give specificsabout the catapult design. The students must examine the catapult and make their own workingdrawings
-single porous cavity to a complete pellet. The procedure hasshown that enhances the chances of the students to understand how a “homogeneous”type of description can be used as a useful approximation for describing the process ofdiffusion and reaction in a heterogeneous domain. Some of the key benefits introduced by the approach presented here from the studentspoint of view include: a- A realistic description of the physics of the situation, b- Aclear identification of the role of the molecular diffusion and surface reaction, c- Achance to reinforce concepts already learned in previous courses, d- The opportunityfor the students to apply math concepts learned in the engineering math courses, e-Aclear chance of building blocks of knowledge in a
In for m a tion R eq u est B ibliog r a p h y n otes A r ticle 0 U ser / L iter a tu r e r eq u est r eview er JIS syste m L iter a tu r e r eview n otes A r ticle n eed ed B ibliog r a p h y list
ASEE North Midwest Section Meeting, Madison, WI, Oct. 2002.8. Couch II, L. W., Digital and Analog Communication Systems, Sixth Edition, Upper Saddle River, NJ: Prentice Hall (2001).9. Gorter, H., Matherly, B., MPSK Demo Project Report, EGR 363 Project Report, Dordt College, Sioux Center, IA, May 2002.MURAT TANYELMurat Tanyel is a professor of engineering at Dordt College. He teaches upper level electrical engineering courses.Prior to teaching at Dordt College, Dr. Tanyel taught at Drexel University where he worked for the EnhancedEducational Experience for Engineering Students (E4) project, setting up and teaching laboratory and hands-oncomputer experiments for engineering freshmen and sophomores. For one semester, he was also a
topics dealing with deciding on the best designprocess to follow, exploring alternative methods and solutions, and optimization of process andproducts to meet defined goals or specifications. Designating related pairs of characteristicsThe top 10 characteristics from Table 4 were matched into related pairs, as shown in Table 5. Page 8.336.5Each letter (A, B, C, D or E) designates the pairing selected by consensus of the entire design team.A definition statement for each characteristic was written during an additional discussion period(45 minutes), and may be found in Table 6. The bold titles in each pair represent the
honest opinions. You will not be graded onyour answers. Completing this survey should take about twenty minutes of your time. All informationwill remain strictly confidential.Name: (Please Print)Birth Date: / / Grade: 6 7 8 9 10 11 12For the following questions, circle the letter that best matches your response. Please circle only oneletter per question.1. What is your gender? A. Male B. Female2. Which of the following best describes your ethnicity? A. White B. African American C. Native American D. Hispanic E. Other3. Which school are you currently attending? A. Santa Fe South High School D
Lehigh University Session #3454 Lessons Learned in Building Cross-Disciplinary Partnerships in Entrepreneurship Education through Integrated Product Development (IPD) John B Ochs, Mechanical Engineering & Mechanics, Lehigh University, Bethlehem, PA Todd W Watkins, Economics, Lehigh University, Bethlehem, PA Drew Snyder, Art & Architecture, Lehigh University, Bethlehem, PAAbstractSince 1994 a team of Lehigh faculty have been developing and implementing a multi-disciplinaryeducational environment to enable undergraduates and graduate students to experience thechallenges and creative exhilaration of technical
for statistical analysis, data collection and measuring. 2. Got fresh ideas for creating lesson plans. 3. Assignments were challenging new and interactive. 4. Learned how to use the TI-83 calculator and how to incorporate its use into lesson plansBibliographyCommittee for Economic Development, “Connecting Students to a Changing World: A TechnologyStrategy for Improving Mathematics and Science Foundation”, Washington D.C.: Committee forEconomic Development 1995Erwin, B., “K-12 Education and Systems Engineering: A New Perspective”, Proceeding of the 2001American Society for Engineering Education Annual Conference, Abuquerque NM, June 2001, Session1280 CD-ROMBiographyTRACY A. EVERSTracey is in the last
. They will notbe asked to develop the equations, but to search for, select, and use appropriate equations usinglibrary supplied references and appropriate websites (reviewed by faculty). This is similar toactivities performed by engineers in industry. These students will be asked to conceptualize adesign, build their design, test their design, and compare their test results to the standardtheoretical model supplied by the faculty. New instrument designs will include (a) varying thestring length with the tension constant and (b) varying the string tension with the length constant.Both processes will use Sound Forge5 to record results.Bibliography 1. Penn State Undergraduate Degree Programs Bulletin, 2002-03. 2. Margle, J. M. and S. Stace