structuraal system thaatlends itseelf to rapid analysis a by undergraduat u te students. By positioniing small (< < 100 lb) shakkingdevices at a various loccations on thhe floor and at two predeetermined ceeiling mountts, the studenntscan exploore the actuaal dynamic behavior b of thhe structure through stanndard acceleerometers,common data acquisiition hardwaare and somee custom sofftware. Com mparison of the t student’sspredictions using han nd calculatioons and increeasingly advvanced compputational moodeling withh
notice absences (without any formal attendance taking).4. Group BIn the Fall 2012 semester of Engineering Statics several teaching methodologies andprograms were used to help students in Group B understand and embody the type oflogical thinking, analysis, and self-learning that is required in the field of engineering.Student growth and confidence, during this course in particular, often is the factor thatdetermines if a student will be successful in engineering and if they will continue inengineering. The goals of the course in this area are that after taking this course thestudents would develop:i. Self-confidence in their ability to solve problems and more natural problem-solving skills,ii. Life-long learning skills, the ability to
, turnaround, practical range, etc.).This report introduces the AVD Laboratory’s product development and technology forecasting methodology as applied to the problem introduced above. Because the focus ofthis activity has been on the exploration of the available solution space, a unique screeningprocess has been employed to assess the implication of (a) the mission, (b) the baselinevehicle, and (c) the operational scenarios on key research objectives to be defined.This study concludes that an air-launched, liquid-hydrogen-fueled, 30 minute Mach 6demonstrator (with 10 minute Mach 8 capability) provides the largest feasible solution spaceof the trades that have been examined (i.e., largest design margins with lowest technical risk)when compared with a
student team calculated the shading percentage itproduces in comparison to the (conventional) arrangement shown in Fig. 1b for various angles ofthe sun, and various angles of the assumed square PV cells (see Fig. 2a), allowing for somesun-tracking imprecision. This was a straightforward yet good exercise on the subject ofTrigonometry for them, and the percentage differences between the shaded areas per cell aredisplayed in Fig. 2b. Pivot rod PV cell (a) (b) Fig. 1. Five-cell by three-column illustration of the (a) ‘diamondback’ cell arrangement, and
molds.6 Following the lecture on packaging and interconnections, thestudents sealed their microfluidic systems using adhesive tape after punching inlet/outlet holes inthe PDMS layer. Functional tests were performed first using a colored dye to ensure that thedevice was properly sealed before final tests were conducted using bovine whole blood(Hemostat Laboratories, Dixon, CA). In each case, the completed devices were loaded onto acustom lab centrifuge that was operated between 1,000-10,000 RPM. The result from testingone of the designs produced by the class is displayed in Figure 1, showing separation of RBCsfrom plasma. (a) PDMS (b) Blood sample
anoffering of the UGA robotics course in Spring 2012 to both UGA and NTU students in a mixedasynchronous/synchronous environment.The objective of this manuscript is to describe our approach in designing the course materialsand the delivery methods and also to report on the impacts on instructors (in terms of cooperativeteaching practices) and students (in terms of materials understanding and application to termprojects) for two semesters - Spring and Fall 2012.II) Materials and Methods A) Structural Challenges & Approaches Taken 1. The first structural challenge of course was about “timing”: a. The 13-hour difference in time zones between UGA and NTU. b. The weekly scheduling of classes was also different
Page 23.202.6bottleneck itself. A key characteristic of a good interviewer is the ability to keep the interview ontrack, however, the interviewee should also take an active role in keeping focus on expert moves.I selected two interviewers from the faculty at NAU with whom I had personally worked duringa Decoding the Disciplines workshop who met the above criteria. I chose Dr. B. because, as ageologist, she is familiar with the concepts underlying the bottleneck, yet in her discipline theseconcepts are treated on a global scale. I chose Dr. K. because I was impressed with her ability tokeep a Decoding interview focused. Her discipline of comparative cultural studies puts her at agood distance from engineering mechanics, yet I was confident that
. Attendance/Participation 10% 5. Term Project Presentation/Report 30%Term Project Problem Definition: For the purpose of reducing WCU’s carbon footprint as wellas supplying clean power to entire campus, a power transmission infrastructure is to be designedto transport electrical power from a nearby hydroelectric generation facility.Letter grades are assigned according to the following:A+: 99–100, A: 92–98, A-: 90–91, B+: 88–89, B: 82–87, B-: 80–81,C+: 78–79, C: 72–77, C-: 70–71; D+: 68–69, D: 62–67, D-: 60–61, and F: 59–0.Original projected course schedule is given in Table 3. Page 23.91.6 Table 3
sectionsThe table below shows the final grade breakdown for the test section of Calculus I, as well asthe grade breakdown for all other Calculus I sections at SPSU taught by permanent facultymembers. (The restriction to full-time faculty members is due to a historical differencebetween course outcomes for permanent and adjunct faculty in our department.) The “OverallGPA” below attributes four points to students achieving an A, three points to those with a B,two points to those with a C, one point to those with a D, and none to those who withdrew orreceived an F. Test section (n=34) All other sections (n=208) Course grade Number of Percentage Number of Percentage students of
activities, such as accessing the online module files. The frequency of students’ accessing of the files was tracked and analyzed. We were particularly interested whether the use of modules is more or less favored but “A”, “B” or “C” students.Results The results presented in this paper are categorized by the above information sources. User-interface analysis and usability testing. Page 23.415.12 In tune with the Learning Object Review Instrument (LORI), the six participants created reviewson eight broadly interpreted dimensions of quality. The themes on each dimension and students’supportive
andMotivations Survey as well as data collection and analysis outcomes of the subsequent phases ofour study will be topics of future publications.References1. NSF/NIH/USED/USDA/NEH/NASA. (2009). Survey of earned doctorates.2. Baker, S., Tancred, P., & Whitesides, S. (2002). Gender and graduate school: Engineering students confront life after the B. Eng. Journal of Engineering Education, 91(1), 41-48.3. National Science Foundation. (2012). Research in engineering education solicitation. Retrieved September 26 th, 2012 from http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=503584.4. Finke, R. A., Ward, T. B., & Smith, S. M. (1992). Creative cognition: Theory, research, and applications. Cambridge, MA: The MIT Press.5
robotics course is a senior-level design-basedcourse dealing with robotic topics such as robotic kinematics, dynamics, robot controls andsensors. It is intended to enable students to design, control, and maintain robots and robotic-based systems. One of the course outcomes is to enable students to design and implement smallrobotics projects using laboratory robots, sensors and interfaces. This outcome is in line with theABET Criterion 3, student outcomes a, b, c, d, e, g, and k 14. The robotics laboratory curriculumincludes hands-on experiences where students design, build, and control various robots.Programming of industrial robots is accomplished with industrial grade robots extensively usedin automation for material handling applications. In
and CraftsArts and Crafts were covered from Jun. 11 to Jun. 29. The educational objectives includedgeometry, shapes, system of measurement, artistic imagination and critical thinking. Using theart of Paper Mache, students were introduced to shapes, primary and secondary colors, artisticimagination and critical thinking. When designing the Marshmallow Catapult and Popsicle StickHouse students were also introduced to some construction technology such as the housefoundation and the general structure of a building. They also used clay to explore theirimagination. Page 23.696.7 Figure 1 Arts & Crafts Activities: (a) Clay Work, (b) Popsicle
sparked their interest. Then there was a largegroup discussion on these careers. The final question for this section was: How would you sharewith students about what you have observed in these exercises?Big Idea 4: Success in mathematics and science is not based on innate ability. The objective ofthis section was to dispel stereotypes about math and science achievement. Though brief, thiswas the weakest portion of the workshop that needs further refinement. Almost through with theworkshop, this exercise invited the participants to get out of their seats to stretch a bit. Thefacilitator designated three areas of the room as A, B, or C, and posed statements shown in Table5
23.1180.2on participants including (a) higher achievement and improved productivity, (b) more caring,supportive and committed relationships, and (c) greater psychological health, social competenceand self-esteem. Furthermore, they propose that the reasons for these positive results are basedon working relationships where participants can supplement each other‟s weaknesses or gaps inknowledge and skills 9. Marra and Bogue 9 also found that participants were able to combinetheir knowledge, experience and expertise to create a new understanding of problems in order tohelp each other achieve a desired goal. This collaborative partnership philosophy describes therelationship between the Women in Engineering programme director and an educationalassessment
Friday Morning Session 2- Student Feasibility Study of a Thrust Vector Control TransportAmen I. Omoragbon, Gary J. Coleman, Lex Gonzalez, Brandon Watters, Bernd Chudoba Mechanical and Aerospace Engineering Department University of Texas at Arlington, Arlington, TX AbstractThrust Vectored Control (TVC) has the potential to advance the design of commercial transports.This research evaluates the feasibility of a TVC commercial transport concept in three phases;(1) thrust vectoring technology review, (2) parametric sizing of a TVC transport, and (3) stabilityand control (S&
, teamwork and other professionalskills, and are forced to learn “on the job.”2,11-13 Skills outlined by ABET criteria further reflectthe necessity for integrating such attributes in engineering education, including: (a) an ability toapply knowledge of mathematics, science, and engineering; (b) an ability to design and conductexperiments, as well as to analyze and interpret data; (c) an ability to design a system,component, or process to meet desired needs within realistic constraints such as economic,environmental, social, political, ethical, health and safety, manufacturability, and sustainability;(d) an ability to function on multidisciplinary teams; (e) an ability to identify, formulate, andsolve engineering problems; (f) an understanding of
. The authors will beaddressing this issues in the future iterations of this project by allowing several students with samemajors contributing to the same group.One of the challenges of practicing engineering is the ability to research and find appropriate technologyto meet the needs of the task at hand. Overall, the realworld project addressed several AccreditedBoard for Engineering and Technology (ABET) criteria for student outcomes, specifically, (a) an ability to apply knowledge of mathematics, science, and engineering; (b) an ability to design a system, component, or process to meet desired needs within realistic constraints such as economics, environmental, social, political, ethical, health and safety
questionsincluded in the pre-experience survey.The post-experience survey was deployed at the end of July, at the conclusion of students’ Page 23.599.2summer research experience. This second survey repeated several of the questions from the pre-experience survey, which allowed us to compare students’ expectations with their experiences,and look for changes in students’ self-assessments of research skills over the 10-week program.Students were also asked about their interactions with their research mentors and the personaland professional outcomes of their summer experience. Appendix B includes a copy of the post-experience survey questions.About 160
. Therefore, it appeared that students were able to grasp the basic concept of the two’s complement number representation, but more practice and feedback needed to be provided to ensure that students fully understood the concept. Changes will be made to future offering of the course to address this issue. Two's Complement Exam Items 100% Class A 90% Class B 80% Percentage Correct 70
. a) b)Figure 3. a) A model of the bridge constructed of chain and metal segments exaggerates the motion of thebridge. b) When a visitor twists and pulls down on the center span area, the resulting torsional vibrationmode mimics that caused by the wind. (credit: S. Lani (a) R. Reitherman (b))Tracking the Daily Movement of the Bridge – This exhibit is not currently installed. In 2013 itwill be installed at base of the bridge and at the nearby Exploratorium discovery museum. AGPS device at the center span of the Bridge tracks its movements. This GPS signal is capturedand plotted for visitors. Figure 4a shows the cyclical up and down movement of the bridge eachday as it expands and contracts
) but low at Formal #1. Table 3: Student ratings for enjoyment (Largest percentages at each site highlighted in green) Formal #2 Formal #1 Informal #2 Informal #1 (n=67) (n=135) (n=165) (n=48) A+ 54% 33% 64% 56% A 18% 19% 18% 17% A- 9% 15% 7% 17% B+ 4% 12% 3% 2% B
variables, self-efficacy and respectivelyperformance outcome.Notes: Significance of Standardized Path Coefficients * p < .05; ** p < .01; 1 Squared Multiple Correlations (explained variance); Figure 3. Path Coefficients for the proposed model of GIS LaboratoryGoodness-of-Fit MeasuresAll major goodness-of-fit statistics recommended in the literature (35, 36) indicated a good fitfor the proposed models, as follows: a) Goodness-of-fit index, GFI = .99, and adjusted-goodness-of-fit, AGFI = .95, are equal or higher than .95, b) Comparative fit index, CFI = .99, higher than .95, the recommended value, and c) Root mean square error of approximation, RMSEA = .02, smaller than .06, a value
geographical area. The work presented here is a good indicator that thestrategy does work on a group with these characteristics.III. Strategies and ImplementationThe summer accelerator program has evolved over the three years in the number of hoursallocated to math activities. However, the three camps have in common the following strategies:a) Recruitment of students giving priority to students with low grades in previous math classes;b) Pre-test used to categorize students according to their level of math and to arrange studentgroups that are at a similar level;c) Individualized study plans for each participant and usage of a problem-generator software thatincludes video and tutoring capabilities;d) Low student/instructor ratio per class;e) Freedom
Paper ID #6667Am I a Boss or a Coach? Graduate Students Mentoring Undergraduates inResearchMs. Janet Y Tsai, University of Colorado at Boulder Janet Y. Tsai is a doctoral student at the University of Colorado, Boulder, whose work examines and develops initiatives to encourage more students, especially women, into the eld of engineering. Currently, Tsai’s research focuses on understanding the dynamics of how status and prestige are constructed among novice engineers.Dr. Daria A Kotys-Schwartz, University of Colorado Boulder Dr. Daria Kotys-Schwartz is the Design Center Colorado Co-Director and an Instructor in the
scholarship and participates in professional development and enrichment programs. The faculty mentors Page 23.942.5 assist the students in preparing for the phase 2 SIIRE Scholarship Application. This is illustrated as Milestone B in Figure 1. The focus of the full application is on ensuring that the student is a candidate for graduate studies. The scholarship application includes reflective statements from the students based on their experiences in the enrichment activities and previous summer co-op experience. This reflective statement is a key component in assessing the student’s eligibility for continued support through graduate
of thejoint angles are used to place the robotic gripper to the desired position and orientation so thatthe object at the pre-specific location and orientation can be picked up.The Granular Jamming Gripper (a) (b) (c)Figure 3 - Granular Jamming Gripper Figure 4 - Vacuum Motor and Mechanical RelayThe main idea of the granular jamming gripper is to switch an elastic bag containing granularmaterial between a deformable (with air) state and rigid (without air) state by applying a vacuum.With air, the granular material can flow around an object and conform to
Page 23.36.6FPGA VIThe other component to be implemented in software was the FPGA based data acquisition.Quadrature encoders were used to get cart position data. The logic used to collect encoder datafrom the VI running on the RIO card is presented in the block diagram of Fig. 5 and the entireblock diagram of the VI implemented on the FPGA is provided in Fig. 6.Figure 5: FPGA VI block diagram part for reading quadrature encoder dataThe block diagram in Fig. 5 reads current encoder register outputs, compares it to a previousvalue for each register to update encoder shaft direction and increment or decrement the positionvalue. The FPGA VI exists inside a while loop that runs continuously while the host PC VI isrunning. The encoder A and B signal
, loops, and arrays are introduced without relying on any specific programming language. Thestudents used RAPTOR programming to achieve these objectives. Examples of few of these exercisesare presented below:Example 1 - Write a program to determine the real roots of a Quadratic Equation (we will discusscomplex roots in another program): ax2 + bx + c = 0. User Inputs: a, b, and c; Program Outputs: Root1and Root2; Equation to be used: . Program addresses division by zero and testedwith a=1, b = 3, c=1. For a = 1, b = 3, c = 1, the roots are Root 1 = - 0.3812 and Root 2 = -2.618. Figure4 below shows the C programming language solution and Figure 4 shows solution using RAPTOR
Paper ID #7492Experience with Mentoring and Directing Graduate Student Research at aDistance in a Mechanical Engineering ProgramDr. Vincent Capece, University of Kentucky Vincent R. Capece is an Associate Professor of Mechanical Engineering. Dr. Capece received his B.S. degree in Mechanical Engineering from Tennessee Technological University in 1980, M.S. in Mechanical Engineering from MIT in 1982, and Ph.D. from Purdue University in 1987.Dr. John R. Baker, University of Kentucky John R. Baker is an Associate Professor of Mechanical Engineering at the University of Kentucky Ex- tended Campus Program in Paducah, KY. He