where he helped set up an innovative introductory engineering curriculum. Dr. Tanyel received his B. S. degree in electrical engineering from Bogaziçi University, Istanbul, Turkey in 1981, his M. S. degree in electrical engineering from Bucknell University, Lewisburg, PA in 1985 and his Ph. D. in biomedical engineering from Drexel University, Philadelphia, PA in 1990. Page 11.1434.1© American Society for Engineering Education, 2006 Communication Systems Toolkit As a Tool for InnovationAbstractIn previous publications, we have discussed the preparation1, the utilization2 and theeffectiveness3 of a
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Applications sliding toolbars which allow a smooth variation of property values. Properly used by students, these worksheets have the potential to reinforce and enhance understanding of the fundamental interrelationships among various properties; students are free to change various parameters such as pressure, temperature, and quality, and immediately view the effect of these changes on the associated Mollier and T-s diagrams. Students may quickly visualize the effect of these changes, rather than being mired in the minutiae of table lookups, interpolation, transcription, and manual plotting. An additional benefit of the rapid and very accurate plotting of thermodynamic properties is a better
information is provided: • All pipe sizes and materials • Flow rates coming in or out at points A and B, as shown in the figure Qa = 4 ft3/s A 2 C Q2 Q1 Q3 1 3 B Qb=1 ft3/s Page 11.1386.2 Figure 1. Analysis of a Simple NetworkThe problem has three unknowns, and to solve for them, three independent equations are
-sketched drawings. Theinstructor can use these tools effectively to generate and discuss the correct solutions for theassigned exercises to better guide the students in developing solutions for other problems. Thisapproach to teaching an Engineering Graphics course can be used along-side other traditionalinstructional techniques to further enhance the students’ performance in the course. Page 11.583.10Bibliography1. Navaee, S., “Use of WebCT in Delivering Instructions in Engineering,” Proceedings of the ASEE Annual Conference, Albuquerque, New Mexico, 2001.2. Navaee, S., Das, N.K., “Utilization of MATLAB in Structural Analysis,” Proceedings of the
. Table 1 Data for a RG58A/U ___________________________________________________________ L’ = 2.5x10-7 H/m C’ = 1.01x10-10 F/m R’ = 0.028 Ω/m -14 G’ = 5.9x10 S/m L = 1000 m f = 3x105 Hz Vg = 10 /0° V ZL = 100 Ω Zg = 50 ΩFigure 2 illustrates the line voltage as a function of location on the line for twenty values of time.It is easy to note the attenuation of the voltage signal as it propagates down the line toward theload due to the lossy nature of the line. There are several ways of presenting the solution to thisproblem in addition to that of employing t as a parameter as in Figure 2. Figure 3
advanced feedback control algorithms.In recent research, we have developed a low-cost DAC platform which allows microcontrollers 3to be programmed by Matlab and Simulink thus providing an inexpensive tool for dataacquisition and control tasks. This platform is well suited for tasks that require graphical user Page 11.1354.2interface and/or advanced computational capabilities, but do not require stringent hardwareperformance. It uses the advanced computing power of Matlab, the graphical user interface ofSimulink, and Parallax Inc.’s Basic Stamp 2 (BS2) microcontroller4 to provide an environmentwhich allows users to implement
the face-to-face relationship between an instructor and students while using a widevariety of virtual learning environments in order to help increase student learning. A widevariety of technological options are now available such as instructional audio and videotools along with a broad range of instructional data3,4.(___)’s College of Engineering (CoE) has embarked on new delivery methods a fewyears ago. Distance learning facilities at (___)’s CoE utilized a custom-built system by aprivate company. The system operated via ISDN technology through a provider and wascapable of data transfers of up to 12 channels (56K per channel) for audio and video -resulting in a fairly sharp and fast signal of 672K. Other combinations (2 channel, 6channel
techniques.AcknowledgementThe authors would like to thank Hewlett-Packard for the HP Technology for Teaching Grantwhich provided the wireless tablets used in this study.Bibliography[1] "Looking at the Freedom to Learn program through different lenses. (1 to 1 Computing)." T.H.E. Journal (Technological Horizons In Education) 32.8 (March 2005): S1(2).[2] Harless, S. & Harthun-Reed, A. "Laptop initiative creates equal educational opportunities. (Case study: Bear Lake Middle School)." T.H.E. Journal (Technological Horizons In Education) 32.8 (March 2005): S6(1).[3] Barton, C. & Collura, K. "Catalyst for change (Feature)." T.H.E. Journal (Technological Horizons In Education) 31.4 (Nov 2003): NA(6).[4] Willis, C. & Miertschin, S. “Mind Tools for
develops the course.Acknowledgement:This research is supported by National Science Foundation’s Science, Technology, Engineering,and Mathematics Talent Expansion Program under grant #0230425.The authors would like to extend their sincere thanks to the reviewers for their constructivecomments that have helped improve the presentation of the paper.Bibliography[1] Blackborad Inc, http://www.Blackboard.com[2] WebCT Inc, http://www.webct.com[3] S. Kuyath, “An Interactive Lecture for Web Based ET Classes”, ASEE Annual Conference, Boulder, CO, 2004.[4] R.G. Daniels, M. Crawford, and M. Mangum, “Web Based Interactive EE Lesson Development: A Modular Approach”, ASEE Annual Conference, Boulder, CO, 2004.[5] B. Butz, “IMITS
the art assetsand code the game.A playable version of individual challenges of the game (“game segments”) are tested byvolunteers from our targe audience of high school and college students. Game testingtakes on two main forms. First, each game segment is tested for playability anddebugging. After revisions based on this round of testing, the game segments are testedfor instructional impact. This round of testing involves interviews, “think aloud”strategies, and pre/post surveys to test content knowledge.Motivation for the ProjectThe use of digital games has grown exponentially since the early 1980’s, when personalcomputers first appeared. Pong, the first commercial video game, became available in1974. The oldest of today’s traditional
PCs, butall allow the use of digital ink to generate new documents or annotate existing documents.Included software allows professors to write and problem solve as they would using traditionalpad/pencil using Journal™ or write directly on Word™ or PowerPoint™ slides, save the documentor slides including the notations, and provide them to students in electronic form. This combinesthe ease of digital presentations with the interactivity of the overhead/chalkboard. For example,professors can work out detailed solutions on the computer screen, project the solutions in realtime, and save solutions on the hard drive, all while facing the students. A brief overview ofTablet computing and its development can be seen in table 1. The 60’s
6. REFERENCES[1] T. B. Welch, C. H. G. Wright, and M. G. Morrow, “Experiences in Offering A DSP-based Communication Laboratory,” Digital Signal Proc. Workshop, 2004 and the 3rd IEEE Sig. Proc. Education Workshop, pp. 68-72, Aug 2004[2] W.-S. Gan, “Teaching and Learning the Hows and Whys of Real-Time Digital Signal Processing,” IEEE Trans. on Educ., vol. 45, no. 4, pp. 336-343, Nov. 2002[3] M. D. Galanis, A. Papazacharias, and E. Zigouris, “A DSP Course for Real-Time Systems Design and Implementation Based on the TMS320C6211 DSK,” 14th International Conf. On Dig. Sig. Proc., vol. 2, pp. 853-856, July 2002[4] S. L. Wood, G. C. Orsak, J. R. Treichler, D. C. Munson, S. C. Douglas, R. Athale, and M. A. Yoder, “DSP
Mult. Choice on line Mult. Choice paper Average Score 67%, s=11.5 69%, s=8.5 While a few students did dramatically improve or lower their test 1 score whengiven the re-test on paper, the average score did not see a significant change. Overall theslight increase in average score is consistent with the expected average increase if eachstudent were instead offered another online attempt. The clear conclusion fromexamining the average scores and the standard deviations (s) is that little, if any, testingbias is introduced by offering the test online versus the more traditional paper/opscanmethod. Comparable time limits were place upon both paper and online test
-based demonstrations previously mentioned. This new board interconnects aTexas Instrument (TI) C6711 or C6713 DSP starter kit (DSK) to an Analog Devices (AD)quadrature modulator (AD9857). This modulator is capable of operating at up to 200 millionsamples per second (MS/s), with a resulting carrier or intermediate frequency of up to 80 MHz(i.e., 40% of the system’s sample frequency). An onboard 32-bit direct digital synthesizer (DDS)is used to generate the carrier waveform values. Baseband 14-bit in-phase and quadrature (I/Q)data are presented to the modulator, which can be programmed to interpolate the data at rates of4x to 252x. The AD9857 is interfaced to the DSK using an Altera Cyclone FPGA. The FPGAprovides queuing of the I/Q data, and the
, byte count, load address and record type. The recordformat also has a 2-character suffix containing a checksum7.There are six types of records for the Intel 32-bit Hexadecimal Object file. The recordtypes are 00 Data Record, 01 End Record, 02 Extended Segment Address Record, 03Start Segment Address Record, 04 Extended Linear Address Record, and 05 Start LinearAddress Record. 1. Data Record The data record which is record type 00 is the record that holds all of the data of the file. This record begins with a colon “:” followed by the count of the byte, the first byte of the address and the type of record “00”. After the data record type “00”, the data bytes follow. The checksum follows the data bytes and is 2’s
can be accessible to students, without any increase in complexity, leading to a veryeffective method to teach the programming fundamentals.Whereas the approach described above has been used on numerous occasions and inmany institutions, we believe that it has rarely been done in Matlab. Our experience with Page 11.1203.7using this method the past three years is very encouraging.References1. Brockman, J., Fuja, T. Batill, S., “A Multidisciplinary Course Sequence for First-Year EngineeringStudents,” 2002 ASEE Annual Conference and Exposition, Montreal, Quebec, Canada, June 2002.2. McWilliams, L., Silliman, S., Pieronek, C. “Modifications to a Freshman
Y m,n-1 X X Figure 1. An interior node at location (m,n) and its neighbors. Applying the heat balance equation around grid point (m,n) we get the followingapproximating algebraic equation, also known as the finite difference equation: ∂T q m−1,n + q m +1,n + q m,n −1 + q m,n +1 + S∆x∆y = ρc∆x∆y (1) ∂t Where
-mail.AcknowledgmentsThe authors would like to thank the National Instruments (NI) Corporation for their support of thisproject. In particular, Ravi Marawar, Ph.D., Academic Program Manager at NI, was most helpfulin making this project a reality. Page 11.485.11References [1] J. G. Webster, ed., Medical Instrumentation: Application and Design. John Wiley & Sons, 3rd ed., 1998. [2] L. Cromwell, F. J. Weibell, and E. A. Pfeiffer, Biomedical Instrumentation and Measurements. Prentice Hall, 2nd ed., 1980. [3] R. S. Mackay, Bio-Medical Telemetry. IEEE Press, 2nd ed., 1993. [4] R. M. Rangayyan, Biomedical Signal Analysis: A Case-Study Approach. John Wiley
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
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
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
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
, a “linking table” was used as illustrated in Figure 2. Another many-to-manyrelationship was required for the concept(s) covered by a problem. A homework problem willtypically have more than one concept (or lesson objective) that is covered. To accomplish this,another linking table was used similar to the one shown in Figure 2. Figure 2 - Creating assignments with problem records.Database ImplementationBecause many different instructors will be using the database, a user interface was created toallow fast access to reports and data-entry forms. The main interface for the database can beseen in Figure 3. Figure 3 – Main database user interface.A form was also created to facilitate the creation
at the receiver(s) and pressing the desired button. As shown in Figure 4, theacquisition software displays a box on the computer screen for each student's remote. Thisallows both the students and the instructor to verify that each response has been recorded. Thelocation of each box remains the same for the entire semester and the color of each box isdetermined by the last digit of the remote ID number. Figure 4: Students respond to questions2Responses TabulatedThe receiver(s) collect the student responses and sends them to the host computer (Windows,Macintosh, or Linux). The software associates student names with the remote ID numbers andgrades the responses instantly. The results are saved in a file and if desired, a
andWi-Fi systems have to overcome to provide acceptable service, even in more or less benignenvironments.Finally, it is important to note that the I and Q signals can be captured and stored through minormodifications to the LabView VI’s. An instructive exercise is to have the students demodulate areal-world signal using Matlab. For example, suppose an FM signal is captured and stored in aMatlab vector “s” such that the in-phase and quadrature components are represented as the realand imaginary parts. We can extract the signal envelope as “envelope = abs(s)” and theinstantaneous phase as “theta = angle(s)”. Since the FM phase is the integral of the messagesignal, the message signal can be extracted by differentiating the phase using “m = diff
homeworksystem and an invaluable teaching and learning tool.References1 Bugbee, A. C. (1996). The Equivalence of Paper-and-Pencil and Computer-Based Testing. Journal of Research onComputing in Education, 28(3), 282-299, 1996.2 Bonham, S., Beichner, R., Titus, A., and Martin, L. (2000). Education research using web-based assessmentsystems. Journal of Research on Computing in Education, 33, 28-45.3 Tang, G. and Titus, A., (2002). Increasing Students’ Time on Task in Calculus and Physics Courses throughWebAssign. Proceedings of the 2002 ASEE Conference.4 Thoennessen, M and Harrison, M. J. (1996) “Computer-Assisted Assignments in a Large Physics Class.”Computers and Education, 27,141 1996.5 Hall, M, Parker, J, Minaei-Gigdoli, B., Albertelli, G., Kortemeyer
Systems 1 course enrolledin the follow-up course, Power Systems 2.Bibliography1. PowerWorld Corporation, Champain, IL. PowerWorld Simulator Version 10.0 http://www.powerworld.com2. “Power System Analysis and Design”, Third Edition, by J. Duncan Glover & Mulukutla S. Sarma. Page 11.216.7
. Bhattacharjee, S. 2002. TEST (The expert system for thermodynamics). http://kahuna.sdsu.edu/testcenter/.4. Appanaboyina, S. and Aung, K., (2004), “Development of a VRML Application for Teaching Fluid Mechanics,” Proceedings of 2004 ASEE Annual Conference, Nashville, Tennessee.5. The Java virtual wind tunnel. (1996). Retrieved July 2,2003, from Massachusetts Institute of Technology, Cambridge, Web site: http://raphael.mit.edu/Java/.6. Carmichael, R. 2005. Public domain aeronautical software. http://www.pdas.com/vucalc.htm7. Compressible Aerodynamic Calculator. http://www.engapplets.vt.edu/fluids/compresssibleAero/ifmCompAero.html8. Purdue University. Compressible flow calculators. http
, Evgenia, ”Multiple-queue Backfilling Scheduling with Priorities and Reservations for Parallel Systems” Department of Computer Science, College of William and Mary Williamsburg, VA 23187-8795, USA5. Srinivasan, S., Kettimuthu, R., Subramani, V., and Sadayappan, P., “Characterization of backfilling strategies for parallel job scheduling”. IEEE International Conference on Parallel Processing Workshops, pages 514– 519, August 2002.6. Bode, Brett, Halstead, David M., Kendall, Ricky and Lei, Zhou “The Portable Batch Scheduler and the Maui Scheduler on Linux Clusters”. In Annual Technical Conference, USENIX, June 1999.7. Alagusundaram, Kavitha “A Comparison of Common Processor Scheduling Algorithms for Distributed- Memory