appropriate number of measurements and sampling rates required for each experiment.This remains as future work.In summary, each lab station consists of four main parts: (i) a power station, (ii) a distributionfeeder box, (iii) a transfer station and (iv) a PC for computer control and measurement display.Within each lab station and its subsequent lumped parts, a large number of individual componentsmust be displayed and interconnected without overwhelming students and other users. As aconsequence, detailed layouts for each part have been carefully designed to maximize transfer ofcontent. Also, the same color coding scheme has been utilized throughout RDAC: red – phase A,blue – phase B, yellow – Phase C and white for neutral (shown as black in most
, as part of the total performance assessment, are discussed in the next section. Thesubsequent sections will explain and discuss five different types of performance appraisals.II. B. 1. Purposes for Performance AppraisalsW. Edwards Deming and some of his followers have been enthusiastic about eliminating theindividual performance appraisal, because they find it is detrimental to the system view o f theorganization and does not properly consider individual variation in measurement data [10,11].Deming even goes so far as to label appraisals as the third Deadly Disease of Companies of theWestern World [10]. A summary of Deming’s charges is presented in Table 1.Appraisals nourish short-term focus and Appraisals feed rivalry and
were examined. Even though there is general consensus on most of these coreconcepts in current textbooks (see appendix B) there is no consensus on the sequence ofpresentation. Most texts include digital communications with the computer networkingtopics. The IT curriculum at BYU includes a digital communications course that is aprerequisite for this networking course. One approach would be to use a single book forthe two semester sequence. However it was decided to use a more specialized digitalcommunications text for that course to facilitate coverage of digital communicationstopics that are not necessarily associated with networking. Some of the more recenttexts56 do not include as much digital communications. It is not clear whether this
Engineering Education Annual Conference & Exposition Copyright © 2002, American Society for Engineering Education Page 7.249.3 Table 1. The format of a tagged testing document Please find the capacity of nominal moment M n of the beam shown as the following cross-section ? Mn b = d = d’ = f’c = fy = As = b: Width of beam d: Effective depth of beam f’c: The strength of Concrete fy: The yielding stress of steel bar As: The total tensile reinforcement ../graphics/test2.bmp ../answers/a13
thecylinder. The plant transfer function, G(s), relates piston position, Y(s), to a valveopening position, X(s). If the piston mass is negligible, then G(s) can be approximated asa transfer function in the form: Y ( s) A G ( s) = = 2 (1) X (s) s + B sThe mechanics of hydraulic cylinders will not be overviewed here, but the constants, Aand B, depend on parameters such as hydraulic fluid bulk modulus, piston area, effectiveentrained fluid volume, and other system constants. References are available withdetailed discussions (see, for instance, Marks’ Standard Handbook for
A (4-step Likert B (3-step Likert Topic of Questions Scores Scale) Scale) A*B Improved learning skills (team 3.35 2.21 7.49 work/ analysis) Coverage of environmental topics 3.63 2.46 8.91 Career benefits 3.20 2.22 7.15 Quality of course content 3.14
based on the hypothesized task-specialized functioning of thephysical brain. A thinking preference profile, compiled from scores on an inventory, is displayedon a four-quadrant grid. The higher a score in a quadrant, the stronger the preference for thethinking style related to that quadrant. The Herrmann Brain Dominance profiles in Figure 2 areexamples from the study and illustrate the tilt when a strong preference for the thinking modeassociated with a specific quadrant is dominant.A preference for the A-quadrant (upper left quadrant in Figure 2A) means that a person favorsactivities that involve critical, logical, analytical and fact-based information. Individuals with a B-quadrant preference (lower left quadrant in Figure 2B) favor organized
Session 1526 A Laboratory Experience for Teaching Participatory Design in a Human-Computer Interaction Course Jerry B. Weinberg, Mary L. Stephen Southern Illinois University Edwardsville / Saint Louis UniversityI. IntroductionThe ability of computer technology to improve productivity and enhance quality of life restssquarely on how well the technology application fits our conceptual understanding of how thingswork1. While it is important for a software product to provide the necessary functionality toperform its intended use, it is also important that this
Session 3130 A Model for the Evaluation of Innovative Engineering Courseware: Engineering an Assessment Program Richard H. Hall, Timothy A. Philpot, David B. Oglesby, Ralph E. Flori, Nancy Hubing, Steve E. Watkins, and Vikas Yellamraju University of Missouri – RollaAbstractThis paper describes a general model for assessment of instructional innovations used by theUniversity of Missouri – Rolla’s Media Design and Assessment Laboratory and an example ofthe model’s application. This model is based on three themes: a) iterative assessment with on-going
based on the assumption that the datavalues follow a normal, or Gaussian distribution, often referred to as the “bell-shaped” curve.There are a number of ways to test a distribution of values for Gaussian or normal behavior,including probability plots and the chi-squared “goodness of fit” test. Both of these tests can beefficiently performed in Excel. This experiment requires students to plot a bin histogram and testfor normal behavior using two distinct data sets of data values (named “A” and “B”) generatedby VBA Sub procedures. These Sub procedures are created in the Visual Basic Editor located in Page 7.1231.3 Proceedings of the 2002
instructional and assessment purposes 37, 44.Problem solving in IMMEX. The general problem solving framework of an IMMEX task is tofirst present students with a problem scenario and then to provide students access to informationthat may or may not be useful to solving the problem. One problem solving strategy required bysome IMMEX tasks is elimination37. Successful participants need to use data to eliminatecandidate solutions to a problem. Effective use of this strategy is dependent presumably onscientific reasoning. Key cognitive processes underlying the use of the elimination strategy are(a) the interpretation of the available information in the context of other information and theproblem scenario, (b) the identification of relevant information, and
screenshot from a typical lecture may be seen in Figure 1 (a). The lecture module consists of asmall video of the lecturer’s face, a large box containing a lecture slide, and an outline for the Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition Copyright Page 7.46.2 2002, American Society for Engineering Educationlecture that the student can use to advance to a specific point in the lecture. The lecture-makingsoftware inFusion is shown in Figure 1 (b). (a) (b)Figure 1: (a) An example of a
symbols represent average scores with multimedia,the solid symbols without multimedia. Each type of symbol represents a different instructor – acircle for Instructor A, triangle for Instructor B, and a square for Instructor C. Note thatInstructor B did not conduct the Bending Quick Quiz, while Instructors A and C did not do theCombined Loading control group (i.e. all their groups were given the multimedia presentation).The horizontal axis delineates between the three different quick quizzes while the vertical axisquantifies the difference between the students’ scores after and before their “treatment”. Thetwo different “treatments” are the multimedia (MM) or a standard lecture (No-MM). 1.0
Fmathematical arguments from 1σ D Astatistics that seem to validateits use. It is also a comfortable 0 20 40 60 80 100tool to use becuase is it familiarto all college students and we Student Scoregrew accustomed to its use Figure 1 - A commonly used curved grading scale. Here,when we were in school. the average score is the cut-off between a B and a C whileHowever, using a curved one standard deviation segments are used for other cuts.grading scale has no realmathematical basis5. It
focusing on developing an embedded system curriculum with the follow-ing innovative features: (a) an interdisciplinary curriculum and (b) integration of research resultsinto teaching. The design of embedded systems requires knowledge from many different disci-plines. For this purpose, we have designed a sequence of interdisciplinary courses for impartingembedded systems design education. The course entitled “Real-time Systems Theory” is a part ofthis curriculum. This course directly imports ideas developed as part of our research in embeddedsystems. The aim of this course is to provide students with a strong theoretical foundation fordesigning and analyzing embedded systems. This paper will present the motivation for designingthis course, the
planning formulas and graphs). After using the module, I am confident that I understand: a. Concept of backwards scheduling with finite processing 2.24 0.64 1.97 0.65 2.14 0.58 resources. b. How to minimize costs in production planning. 2.13 0.66 1.86 0.59 2.28 0.53 c. Effects of multiple products in the production planning 2.07 0.65 1.89 0.67 2.21 0.56 process. I recommend that this module be used as an instruction aid 1.84 0.64 1.69 0.58 2.10 0.56 in future classes.Similarly, we draw the conclusion that the students prefer to have lectures along with the moduleto help them understand concepts. This is reinforced by comments
presented materials and their logicalbounding, grammar, spelling, fonts, etc., at times it may look and feel like writing a textbook!An undergraduate student assistant, who is familiar with the subject, can be very helpful in com-pleting this task.(ii) Transfer the lecture modules and example programs to the course web site or local computernetwork so that students can have access to them.The assumption is that the course has a web site and all related information including the coursesyllabus, daily schedule, and homework assignments are posted on the web (see figures 2(a)-2(b)and -3). Weekly quizzes or projects along with exams could also be included as a link to thedaily course schedule (see figures 4). These links should be activated just before
” (independent) mode, and its use within a test piconet based upontheir Bluetooth modules was explained. a) b) [4] Figure 3 – a) Silicon Wave based Bluetooth RF transmitter and link controller b) Tektronix BPA100 Bluetooth Protocol Analyzer [5]ConclusionsThe course was viewed as a success by both students and faculty. Industry involvementmotivated the student and provided demonstration of topics that would not have been possible inthe same way at the university. More than half of those students who completed the course inFall 1999 went on to accept jobs
video demonstrating the point load test is shown in Figure 4. Figure 4. Procedure for a point load test. a) sample preparation, b) testingDr. Kemeny is drawing on a number of sources in building the rock engineering collection. Firstof all, Dr. Kemeny is utilizing some of his own work 1,4. Secondly, Dr. Kemeny is drawing on Page 7.597.5active individuals and organizations in the rock engineering community. One of the most Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition Copyright Ó 2002, American
92 92.5 brings to your class and the university? (4.65) (4.60) (4.63) 5-b Do you feel this exercise will permit you to be 83 87 85 more open with the professor in/out of class? (4.15) (4.35) (4.25) 5-c Do you feel this exercise was important to begin establishing a rapport with you and the 86 82 84 class? (4.30) (4.10) (4.20) 5-d Did this exercise increase your confidence in this professor as someone who cares about 96 91 93.5
engineering laboratory through remote web-based experiments.” Proceedings of the ASEE Annual Conference, Washington, DC. June 28- July1, 1998.[3] Li, Francis, James A. Landay, Anthony D, Joseph. “Supporting Collaborative Teams in Engineering Education.” Proceedings of the ASEE Annual Conference, Albuquerque, NM. June 24- 27, 2001.[4] Baxter, Douglas H. “Examining the Benefits of a Self-Taught Solid Modeling Course.” Proceedings of the ASEE Annual Conference, Albuquerque, NM. June 24- 27, 2001.[5] Ronald E. Musiak, Eric W. Haffner, Steven Schreiner, Alan K. Karplus, Mary B. Vollaro, and Richard A. Grabiec. “Forging New Links: Integrating the Freshman Engineering Curriculum.” Proceedings of the ASEE Annual
available: A) Computer Graphics and Web Development B) Information Security and Network AdministrationA) Computer Graphics and Web Development Concentration. Courses in thefollowing three categories comprise the focus for this concentration: 1) Webdevelopment, 2) computer graphics, 3) database management. The student mustselect at least one of the five required courses from each of the three categories ofcourses listed under this concentration.B) Information Security and Network Administration Concentration. Coursesin the following three categories comprise the focus for this concentration: 1)information security, 2) network administration, 3) telecommunications. Thestudent must select at least one of the five required courses from
directionalinformation is a function of the component’s causality. Thus, there exists for each componentport two possible causalities. This amounts to 2n possible configurations for an n-portcomponent. By applying the causality analysis this can be solved in polynomial time. For eachcausality, the numerical model of the ith component is a nonlinear ODE system of form x i = h i (x i ) + b i (x i , u i ) , (12) y i = g i (x i ) + d i (x i , u i ) Proceedings of the 2002 American Society of Engineering Education Annual Conference & Exposition
a pinned-free flexiblebeam, with a mass at the hub, which can bend freely in the horizontal plane but is stiff invertical bending and torsion. The model development utilises the Lagrange equation andmodal expansion method 13,14. To avoid the difficulties arising due to time varying length, thelength of the manipulator is assumed to be constant.A schematic representation of the manipulator with a moment of inertia I b , hub inertia I h , alinear mass density r , and a length of l is shown in Figure 1. The payload mass is M p andI p is the inertia associated with the payload. A control torque t (t ) is applied at the hub of themanipulator by an actuator motor. The angular displacement of the manipulator, in moving inthe POQ - plane, is
dissimilar ML sections, a mitered transition wasused to improve quality of the match.Technical Methods: B. High Rate User Phased Array (HRUPA) AntennaA prototype of the Ka-band HRUPA antenna has been fabricated by Harris for NASA as a lightweight, low power, electronically steerable, satellite-based antenna that operates near 26 GHz.The HRUPA employs circular MPA elements in a triangular unit-cell configuration. Each activeMPA, dual-fed for CP, includes a passive parasitic element above it to broaden its bandwidth. Aplanar scanning system by Nearfield Systems Incorporated (NSI) was used by GSFC staff in MSBto collect the near-field measurements and convert them via software algorithm to far-fieldpatterns by Fourier Transform. A need
basis of measurement resolution, of 1.27 mm (.05 inch). B/2Each error in this passage is marked with an index letter and penalty. The index letter is repeatedon an attached copy of the grading checklist; therefore, the student is thoroughly informed of thespecific cause of the penalty and the recommended acceptable practice as follows: A BIdentifying Equipment. Use the “generic (commercial)” style to avoid “technician speech”.Significant Digits (SD). Never display insignificant digits in text or tables. Measured data has same least significant digit (LSD) as the LSD in its uncertainty (i.e
the 2002 American Society for Engineering Education Annual Conference & Exposition Copyright 2002, American Society for Engineering Education”Appendix 1Program Objective #A : " The electrical engineering curriculum will produce graduates who are prepared for continuing education, professional growth and career advancement."Program Objective #B : " The electrical engineering curriculum will produce graduates who have effective analytical and communications skills."Program Objective #C : " The electrical engineering curriculum will produce graduates who are
Education Annual Conference & Exposition Copyright Ó 2002, American Society for Engineering Education”Bibliography1. Bradley, C; Cross, T; and Philip, R. “Roger and me: a teacher’s dilemma”. Roeper Review 23 (4) (2001): 211- 215.2. Schwalbach, E. M. and Dosemagen, D. M. “Developing student understanding: contextualizing Calculus concepts”. School Science and Mathematics 100 (2) (2000): 90-98.3. Vonder Embse, C. B. “Dynamic visualizations of Calculus ideas”. Mathematics Teacher 94 (7) (2001): 602- 607.4. Anderson, M.; Bloom, L.; Mueller, U.; and Pedler, P. “The impact of the graphics calculator on the assessment of Calculus and modelling”. International Journal of Mathematical Education in
Session 3548 A WEB-BASED APPROACH TO AUTOMATED INSPECTION AND QUALITY CONTROL OF MANUFACTURED PARTS Immanuel Edinbarough, Manian Ramkumar, Karthik Soundararajan The University of Texas at Brownsville/Rochester Institute of Technology/Alliance Automation SystemsAbstractThis paper presents an approach for the automated inspection and quality control ofmanufactured parts from a remote site. A web-based control system was developed to establishcommunication among the various components of the experimental manufacturing cell,consisting of an IBM 7535 robot, a measuring station and a part feed station
EducationalMaterials Development (EMD) Track.References 1. Angelo, T. & Cross, P. (1993). Classroom Assessment Techniques: A Handbook for College Teachers. Jossey Bass Publisher, San Francisco, CA. 2. Boyer (1998). “Reinventing Undergraduate Education: A Blueprint For America’s Research Universities,” A report from the Carnegie Foundation, http://notes.cc.sunysb.edu/Pres/boyer.nsf. [March 30, 2001]. 3. Brown, B. Sr. and Brown, B. Jr. (1997). “Problem-Based Education (PROBE): Learning for a lifetime of Change,” Proceedings, ASEE National Conference, Milwaukee, WI, http://www.asee.org/conferences/search/. 4. Cross, P. (1991). “On College Teaching,” Journal of Engineering Education, Vol. 82, 1, pp. 9-15