of universities have also provided facilities for students to submit anonymouscomments on a class. However, these tools are rarely used by students, tend to attractemotional complaints, and do not provide a coherent mechanism for improving delivery of acourse.Some instructors have rolled their own midterm evaluations using LMSs or off-the-shelfsurvey tools. These have often proved cumbersome. Austin and Austin [5]’s LMS lackedanonymous response capability; instructors could see who had answered a question. Thus,if they logged in to view results at a time when only a single student had responded, theycould figure out what that student had written. Second, substantial administrative supportwas needed: Instructors needed to import a Zip file
excellent example of the innovative and transformative pedagogy that mostacademic institutions aspire to.Bibliography 1. AbouRizk, S. (1992). “A Stochastic Bidding Game for Construction Management.” SecondCanadian Conference on Computing in Civil Engineering, CSCE, Ottawa, Ontario, pp. 576-587. 2. AbouRizk, S. and Sawhney, A. (1994). “Simulation and Gaming in ConstructionEngineering Education.” ASEE/C2E2 /C2EI Conference, Edmonton, Alberta, Canada, AmericanSociety for Engineering Education. 3. Aldrich, C. (2005). Learning by Doing: A Comprehensive Guide to Simulations, ComputerGames, and Pedagogy in E-Learning and Other Educational Experiences. San Francisco: Pfeiffer. 4. Al-Jibouri, H. S. and Mawdesley, J. M. (2001). “Design and Experience with
engaging the enemy tank, the chassis C, translates relative to the ground at aconstant speed v ( v OC vcˆ1 ) and turns with a time varying spin rate 1 with respect to theground, the turret T, turns with a time varying spin rate 2 with respect to the chassis, and thebarrel B, depresses with a time varying spin rate 3 with respect to the turret. Let point S be along a line drawn from OT in the tˆ3 direction at the intersection of thechassis and turret (fixed in C and T), such that r S / OC s1 cˆ1 s2 cˆ 2 s3 cˆ3 . Let point Q be along aline drawn from OB in the bˆ direction at the rotation point of the barrel (fixed in T and B) such 1that r P / S q1 tˆ1 q2 tˆ 2 q3 tˆ 3 . Let the tank round
Session 1368 Initial Data from a Statics Concept Inventory Paul S. Steif Carnegie Mellon UniversityIntroductionEngineering Statics is a pivotal course in a number of engineering disciplines. Statics laysthe foundation for subsequent courses, namely Dynamics and Strength of Materials.Moreover, Statics and these follow-on courses are the basis for engineering design andpractice. Instruction in Statics is worthy of significant attention.While a variety of topics and problems are addressed in typical Statics textbooks, problemsfocusing on interactions between
Engineering and Applied Sciences medical engineering initiative. Page 24.411.2 c American Society for Engineering Education, 2014 Development and Implementation of the Industrial and Entrepreneurial Engineering Program at Western Michigan UniversityIntroductionThe industrial engineering (IE) degree was first offered at Western Michigan University in 1959.It was the only engineering program at the university until mechanical engineering and electricalengineering were added in the mid 1970’s. The IE program obtained EAC accreditation in 1979and has maintained
% 25.00% 20.00% 20.00% 15.00% 15.00% 10.00% 10.00% 5.00% 5.00% 0.00% 0.00% Novice (S=1
acquire different perspectives on a particulartopic such that users with different backgrounds and frameworks can find onethat particularly appeals to them.The project is supported by the National Science Foundation (NSF) TransformingUndergraduate Education in Science, Technology, Engineering and Mathematics(TUES). Page 24.240.5ReferencesAbulencia, J.P. Vigeant, M.A., and Silverstein, D.L., “Teaching ThermodynamicsThrough Video Media”, Proceedings of the 2013 ASEE National Conference,(2013)Chandra, S., “Lecture Video Capture for the Masses”, Proceedings of the 12thAnnual SIGCSE Conference on Innovation and Technology in Computer ScienceEducation, 39(3):276 (2007
Paper ID #8728Computing Tools in an Advanced Filter Theory CourseDr. S. Hossein Mousavinezhad, Idaho State University Dr. Mousavinezhad is an active member of IEEE and ASEE having chaired sessions in national and re- gional conferences. He is an ABET Program Evaluator (PEV.) He is the Founding General Chair of the IEEE International Electro Information Technology Conferences, www.eit-conference.org and served as 2002/2003 ASEE ECE Division Chair. He is a panelist for the National Science Foundation, has published a book in hand-held computing in 2013 and received an NSF grant (Enhancing Access to Radio Spec- trum
view of value, trade-offs, and optimization;3. Understanding system’s interactions and states (modes);4. Specifying system technical requirements;5. Creating and analyzing high level design;6. Assessing solution feasibility, consistency, and completeness;7. Performing system failure mode and risk analysis;8. Planning system families, platforms, and product lines;9. Understanding roles and interdependencies across the innovation process.Within the summer grand challenge program only a subset of these system competencies havebeen introduced.The framework for the system’s competencies aspect of the course included utilization of asystems engineering approach as described by the S*-metamodel (shown in Figure 1)[4]. Themodel based systems
, computer, or similara. the application of circuit analysis and design, computer programming, associated modifiers in their titles.software, analog and digital electronics, and microcomputers, and engineeringstandards to the building, testing, operation, and maintenance of 1. Curriculumelectrical/electronic(s) systems. The structure of the curriculumb. the applications of physics or chemistry to electrical/electronic(s) circuits in a must provide both breadth andrigorous mathematical environment at or above the level of algebra and depth across the range oftrigonometry. engineering topics
0 .8 De−0.2 (2) −0.2 hrefrigerant = 4.37Vrefrigeran 0.8 t Dp (3)In the above equations the convection heat transfer coefficients are calculated inW/(m2.oK). V is the velocity of fluids in m/s. Dp and De are pipe inside diameter andannulus hydraulic diameter respectively in meters. Assume that water is running throughthe annulus. Although the convection heat transfer coefficient for refrigerant depends onthe type of the refrigerant used and is a function of the temperature of
Copyright © 2005, American Society for Engineering Figure 1. Step 1 Before Selection From Dropdown Box Figure 2. Step 1 After Wrong Answer Page 10.313.2Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright © 2005, American Society for EngineeringFigure 3 is a correct answer to Step 1’s dropdown box, with a green response background andpositive feedback. Also the display blinks; a red arrow now shows the position of the equivalent;and the cursor advances. Figure 4 is the result of a correct answer to Step 2’s dropdown box
scheduledacademic quarters from the undergraduate program to provide room in the five-year schedulefor graduate course credits. In order to accomplish this, the incoming freshman must meet thefollowing requirements in order to make room for an additional 46 credit hours:• Requires advanced standing for Calculus I and II = 10 credit hours (helps course scheduling by satisfying math prerequisites at start of school);• Requires advanced standing for two H/S courses = 6 credit hours;• Attends school during the summer quarter of the second year = 16 credit hours;• Takes distance learning courses during off campus co-op terms: 1 course per each of first four terms- 4 x 3 credit hours = 12 credit hours; and,• Takes
positioning sensor through variousdigital I/O and analog input ports. The high level design is shown below. At the PDR, thestudents explained their design using this drawing and a detailed drawing for each of the blocks Page 10.950.5 Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright © 2005, American Society for Engineering Educationshown below. Likewise, their high-level software design was described via a high level flowdiagram. S ystem H ard w are B lo ck D iag ram
. Bandura, A., Social Foundations of Thought and Action: A Social Cognitive Theory, Prentice-Hall,Englewood Cliffs, 1986.2. Galluzzo, G., "WISE Reports High Retention Rate for Class of 2003 Women." In University of Iowa NewsRelease, July 14, 2003.3. Lent, R. W., S. D. Brown, J. Schmidt, B. Brenner, H. Lyons and D. Treistman, "Relation of ContextualSupports and Barriers to Choice Behavior in Engineering Majors: Test of Alternative Social Cognitive Models,"Journal of Counseling Psychology, vol. 50, no. 4, 2003, pp. 458-465.4. Schaefers, K. G., D. L. Epperson and M. M. Nauta, "Women's Career Development: Can TheoreticallyDerived Variables Predict Persistence in Engineernig Majors?" Journal of Counseling Psychology, vol. 44, 1997,pp
sites. The materials for eachcourse contain at least a course description. Of the 61 web sites we visited, 27 have actualcourse materials such as syllabus, assignments, lecture schedules and assessment methodsavailable on line; 42 listed their choice of textbooks, including the ones that indicate explicitlythat no textbooks are used. The 61 courses come from a total of 27 different schools, all ofwhich are from the U.S. except for one from Hong Kong and one from Australia. Most schoolsin our study offer network course(s) in more than one department and some offer courses at boththe undergraduate and graduate levels.There are 16 different department names in the 61 courses studied, including “ElectricalEngineering”, “Computer Science”, “Computer
exposedto the sensors, and instructor constitute blocks, and can be used to determine if the use of thesensors as a data collection agent has a significant effect on students’ ability to understand theobserved phenomena.11,12 Table 1. Crossover and Continue Experimental Design Lab Phase 1 Phase 2 Phase 3 Spring stiffness Fluid mixing Beam stiffness Non- Sensor Sensor Non- Sensor Sensor Non-Sensor Sensor s Dr. A’ Section 1 Section 2 Section 2 Section 1 Section 2 Section 1
? Students quickly learn that it is a lot easier to move a wire or change a component when they are in a virtual design space. One of the great advantages and features of MultiSim is its ability to allow the user to capture its graphics. A major strength of a professional report is the visual presented to the reader. It is true that “one picture is worth a thousand equations.”1 Just take a look at a bridge or large building the next time you pass one. Each of these represents literally thousands of complex equations of which you are viewing the results. Among MultiSim’s capture capabilities is its ability to capture a schematic under design, in addition to capturing a whole host of responses such as
(28)M CB ? 2 Ek BCs B - ( FEM ) CB (29)In these expressions, M, E, k, s , and FEM are respectively, member end-moments, modulus ofelasticity, member relative-stiffness factors, joint angular displacements, and member fixed-endmoments. The values of the fixed-end moments in the above expressions for the given beam andloading conditions can be obtained using the following equations. These equations are tabulatedin any elementary structural analysis text6.( FEM ) BA ? wL AB (30) 2 /8( FEM ) BD ? / wL BD 2
R o a d M a p f o r In t e g r a t io n S u m m e r, 2 0 0 3 W eek 3 W eek 6 IE & M E J o in t L a b IE & M E J o in t L a b D O E ( E x p e r im e n t ( F a m ilia r iz e th e a n d D a ta M a c h in e ) C o lle c tio n ) W eek 4
solid models. Two sections of thecourse were taught using different sequences of topics. Approximately sixty (60) students wereenrolled in each section. Although the same material was covered by both instructors, onesection focused on solid modeling strategies during the first part of the course, followed by moretraditional topics of visualization skills, orthographic drawings and dimensioning, then assemblymodeling and assembly drawings (S-D). The second section covered visualization skills, multi-view drawings and dimensioning at the beginning of the course, followed by solid modelingmethods, then assemblies (D-S). Both sections used the same texts10,11 and completed the samelaboratory assignments.Students were asked to take the Sorby test9
important information of individual literature. Both subsystems are linked as a one-to-many relationship since any article can have one or Page 8.415.2more indexed information record(s), and one record can store one methodology being used andProceedings of the 2003 American Society for Engineering Education Annual Conference & ExpositionCopyright © 2003, American Society of Engineering Educationthe conclusions made. A context diagram is shown in figure 3. For the purpose of illustration, anentity relationship diagram and a Level-0 diagram of the system are given in appendix 1. Softcopies of articles are stored as files in a separate
available storage for flood control.According to the sieve analysis, nearly 89% was less than #200 mesh (0.075 mm) and theremaining was distributed between #4 and #200 mesh. D 50 was estimated at 0.041 mm (0.0016in.). Therefore, the design velocity for slurry transport was based on these grain sizes. Durand–Condolios’ limiting deposit velocity equation was used to determine a transition velocity thatseparates the suspended heterogeneous sediments from the moving bed regime. To avoidblockage, the pipeline velocity must be greater than the limiting deposit velocity. The equationis ær ö VLD = FL 2 gD çç S - 1÷÷ Where è rW ø VLD – limiting deposit velocity
of developing the DAE are shown as the following three stages.(1) Analyze problem’s knowledge space and represent it as an algorithm hierarchy. For the example of the problem (RC beam analysis) is shown in Figure 2. Its knowledge space can be shown as in the Figure 3. The values of b, d, f y, fc’ and A s are randomly generated by the Testing Generator. The knowledge space includes the total possible executing calculations, adjustments and branches of a problem. b, d, fy, fc’, As Calculate a sb (balanced depth of concrete) Calculate Asb (balanced reinforced volume) Compare A s, Asb Over-reinforced (A s
-45 Phase (degrees)Magnitude (dB) 0 -90 -20 -135 -40 -180 0.01 0.1 1 10 w (r/s
A Study of Interdisciplinary Research Needs: Results from Input ofFaculty in Six Engineering Departments in Prioritizing Serial Subscriptions Virginia Baldwin Associate Professor University of Nebraska-Lincoln INTRODUCTION The issue of journal cancellations has been a subject of much discussion andcontroversy, research, conference presentations, and publication in the literature of library andinformation science, especially in the 1990's. Burgard & Easton (1999) highlight a selectionof 14 library Web sites that describe their own cancellation projects. University faculty,particularly in
. Rheingold, H. (1991). Virtual reality, Summit, New York, NY.2. Schnabel, M. A., and Thomas, K. (2002). "Interaction in virtual building space." CIB W78 conference 2002 Distributing Knowledge in Building, The Aarhus School of Architecture, Denmark.3. Shibano, N., Hareesh, P. V., Kashiwagi, M., Sawada, K., and Takemura, H. (2001). "Development of VR experiencing system with hemi-spherical immersive projection display for urban environment design." Proceedings of the Seventh International Conference on Virtual Systems and Multimedia (VSMM'01).4. Messner, J. I., Yerrapathruni, S. C., Baratta, A. J., and Riley, D. R. (2002). "Cost and schedule reduction of nuclear power plant construction using 4D CAD and
Machine Group Cell 1 ResetA RESET Ma & Mb CtA Con1In R # T U S A D down Not PID-A
1 FT Overnight Retreat and Ropes Course 2 H Introduction to Engineering 3 S Study Habits; Adjusting to College 4 S Discipline Specific Topic 1 5 H Design Guest Speaker 6 S Discipline Specific Design Lecture 7 H Ethics Guest Speaker 8 S Discipline Specific Ethical Case Studies 9 FT Submarine Field Trip to USS Pittsburgh 10 H Using Statistics / Statistical Deceptions 11 H Virtual
qualitative data. Courteret al.7 selected qualitative research methods to evaluate a first year engineering designcourse. Their information included interviews with students, classroom observations, andinterviews with faculty. “We employed the ethnographic research technique of analyzingthe interview transcripts and classroom observations inductively rather than looking forevidence to prove or disprove hypotheses.2 This means that we built our interpretation ofthe students’ experience from the bottom up rather than the top down, a form of analysiscalled grounded theory.25 Points that repeatedly emerged from the students’ interviewsand our classroom observations become our central findings.” (We included Courter etal.’s references in this quote