state 0.5 2F The spins of these atoms become unaligned with the magnetic 1.0 field 2G After pulse ceases, the hydrogen atoms (that gained energy) 1.5 return to their original state 2H …realign with the main magnetic field, 0.5 2I …and release energy in the form of a radio wave 1.0 Subtotal for 2 (max = 8.0) Subtotal Subtotal 3A Each kind of hydrogen molecule emits a different frequency 0.5 B Each type of tissue consists of different types and numbers of 0.5 molecules
Design. Antonio then worked for Medtronic as a full-time Integrated Circuit Designer until November 2003. Antonio started his pursuit of the Doctor of Philosophy degree at the Florida Agricultural and Mechanical University in January 2004 under the supervision of Dr. Reginald Perry. Upon completion of his PhD, Dr. Soares was immediately hired as an assistant professor (Tenure Track) in the Electronic Engineering Technology department at FAMU. Dr. Soares is conducting research in education (STEM), Optoelectronics, nanotechnology and robotics.Dr. G. Thomas Bellarmine P.E., Florida A&M University/Florida State University Biography Dr. G. Thomas Bellarmine Professor Florida A&M University Tech. Bldg. B, Room 202
Organization (BIO) study 2 (Figure 1), advanced biofuel industry will have significantimpact on job creation and economic output in the near future. (a) (b)Figure 1 Impact of advanced biofuel industry on (a) job creation and (b) economic output. (Adapted fromRef. 2.) Page 23.69.2Therefore, there is a pressing and immediate national need of skilled engineers and competentresearchers in the biofuel field. This need also presents an exciting yet challenging opportunityfor the engineering educators to expand their mission to addressing biofuel production, and tocontribute to this
systemsoperational site early in the course to view training operations and interact with pilots andoperators flying operational Unmanned Aircraft Systems (UAS) missions. The impact of the trip Page 23.222.8was assessed with a survey given before and after the trip. Figure 6 displays the results andAppendix B lists the questions. Questions 13-16 were added for the survey after the studentsreturned to measure specific desired learning outcomes. Of interest in these results is that thestudents had high expectations for the trip (Question 2) and the trip met their expectations. Thestudents achieved the learning outcomes as the average responses ranged from
Paper ID #7911Flipping a Large-enrollment Fluid Mechanics Course – Is it Effective?Dr. Carrie J. McClelland P.E., Colorado School of Mines Page 23.607.1 c American Society for Engineering Education, 2013 Flipping a Large-enrollment Fluid Mechanics Course – Is it Effective?AbstractIntroductionEngineers of the future face increasing complexity in the problems that they will be addressing.Engineering problems and their solutions affect, and are affected by economic, social, andtechnical
individuals who have providedinsight and support to me while conducting this project. Thank you to Dr. Nadine Dolby for yourhelpful critique and insight in developing this research topic as part of a course on Globalizationand Education. Thank you to my full engineering ethics research team for your encouragement;Dr. Andrew Brightman, Dr. Carla Zoltowski, Dr. Jonathan Beever, Dr. Matthew Krane, and Dr.Lorraine Kisselburgh. Thank you especially to Jonathan for critiquing my philosophicalarguments herein. Thank you to my advisor Dr. Johannes Strobel for your continual support as Ietch out my research foci as I work towards my dissertation.References1. Lucena, J., Downey, G., Jesiek, B., and Elber, S. (2008). Competencies Beyond Countries: The
Paper ID #7601Elementary Teachers’ Two-Year Implementation of Engineering: A Case ofSuccessDr. K. Anna Douglas, Purdue University Dr. Douglas is a Post-Doctoral Research Associate at Purdue University’s Institute for P-12 Engineering Research and Learning.Dr. Daphne Duncan Wiles, Purdue University, West LafayetteDr. So Yoon Yoon, INSPIRE, School of Engineering Education, Purdue University, West Lafayette Dr. So Yoon Yoon, is an INSPIRE post-doctoral associate at Purdue University. She received her Ph.D. and M.S.Ed.in Educational Psychology with the specialties in Gifted Education and Research Methods & Measurement
Mohr's Circle Compound Beams Sharing a Centroidal Axis Hollow Beams Sharing a Centroidal Axis Bibliography The Transfer Formula Textbooks Compound Beams With Different Neutral Axes Other Reading Material Hollow Beams With Different Neutral Axes Appendix A: Units When the Transfer Formula is Not Needed SI System of Units and Prefixes Radius of Gyration US Customary System of Units and Prefixes Polar Moment of Inertia Conversions Between Unit SystemsChapter 7: Torsion in Round Shafts Appendix B: Materials Properties Shear Stress in a Round Shaft
. Analysis on the Effectiveness of the Course The pilot program was comprised of nine STEM students, whom we will label as students “A”, “B “, “C”, etc. The students were randomly paired at the start of class. Student “I”, who showed an immediate technical aptitude, was paired with the instructor. At the beginning of the course, the students were informally, orally surveyed through private communications with the instructor and were asked about their interest in and understanding of engineering. While students were selected for the program based on a stated interest in engineering, this opening survey made it clear that other motives for
lessons learned from ourexperiences in the past, b) a workshop on design that included the importance of identifying andtracking social constraints, c) design reviews by faculty and class alumni that included a critiqueof social constraints, and d) sociology instruction that addressed how to effectively communicatewith community members and how to gather information towards identifying and refining socialconstraints.This paper provides the details of the social constraint material incorporated into the coursealong with a review of specific examples related to past projects. The understanding andincorporation of social constraints is critical towards the development of sustainable projects.IntroductionIn 2007, a two-semester multi-disciplinary
; Swackhamer G, 1992. Force concept inventory. The Physics Teacher, 30: 141–158. 3 Hestenes D & Wells M, 1992. A mechanics baseline test. The Physics Teacher, 30: 159–166. 4 Krause S, Birk J, Bauer R, Jenkins B, & Pavelich MJ, 2004. Development, testing, and application of a chemistry concept inventory. ASEE/IEEE 34th Annual Frontiers in Education Conference, Savannah, GA. doi: 10.1109/FIE.2004.1408473 5 Klymkowsky MW, Underwood SM, Garvin-Doxas RK, 2010. Biological Concepts Instrument (BCI): A diagnostic tool for revealing student thinking. Available at: http://bioliteracy.colorado.edu (accessed 10 January 2012). 6 Stone A, Allen K, Reed-Rhoads T, Murphy TJ, Shehab RL, & Saha C, 2003. The Statistics Concept Inventory: A
scenarios that are already underway to those that currently do not exist. 1. Tuition free to students – more for those who have true interest in the subject matter and can demonstrate a reason to be enrolled in such a program through their state- ment of purpose, e.g., retirees lifelong learners, and young people just starting out 2. Tuition free to students – Leading to credible certification of completion a. No student payback b. Students payback later 3. Tuition free to students – Leading to degree a. No student payback b. Students payback later 4. Not tuition free to students – Leading to credible certification of completion
.1,5,7–9,11For some students, the EnSURE experience offered very practical supports on their path towardgraduate school; for instance, STUDENT-A commented: “This summer I hope to gain a betterunderstanding of what will be expected from me when I apply for graduate school. I am lookingforward to learning new ways of putting my applications together. It is also a great way to gain abetter understanding of [this university] and see if this is a place that I would like to pursue furthereducation.” STUDENT-B also expressed a desire to explore academic and professionaloptions: “I, too, hope to decide whether I want to pursue a graduate degree or go into industry. Ialso want to deeply learn my topic and make a meaningful contribution in the field
Turkey.Dr. Dennie L. Smith, Texas A&M University Dennie Smith is a Professor in Teaching, Learning and Culture at Texas A&M University.Dr. Christine Ehlig-Economides, Texas A&M University Dr. Ehlig-Economides has been full professor of petroleum engineering at Texas A&M University in the Albert B. Stevens endowed chair since 2004. Before that she worked for Schlumberger for 20 years in well test design and interpretation, integrated reservoir characterization, modern well construction design, and well stimulation. She has worked in more than 30 countries and authored more than 60 papers. Dr. Ehlig-Economides has received a number of technical awards in including the SPE Formation Evaluation and Lester C
.4 In acomplex system, this has a number of implications regarding the iterative development ofmultiple models. In particular, for a target model A and a peripheral model B, changes in modelB can effect model A without the mathematical or descriptive form of model A being adjusted.This is due to the change in focus of the user’s attention. When new features or relationshipsbecome apparent, different aspects of the applicability of model A may become apparent.In the next stage of modeling, evaluation, any number of influences cause a user to considerchanging the target model. Interactions with the target system (use of the model or otherinteraction) or other representations can prompt the evaluation process.32,33
thus has a wavy nature (micron range). Apart from the roughedges on the corners, it is smooth on a micro level, but on a larger scale has very sharp edges thatcan cause cuts and tears [14.14 microns]. The ‘straight edge polisher’ (the big standard machine)gives the smoothest finish [1.6 microns]. Page 23.100.8 (a) Original Tool (b) Prototype with Spray bottle (c) New Prototype Figure 5: Surface finish resultsA comparative study between the old hand tool and our modified version of the tool yield veryinformative and concluding results. Comparing each of the hand tools with the
Page 23.1298.5the students.The sessions described above took place during a 2 – 3 hour time block. As noted above,SBL is typically implemented during extended class periods such as these. The difficultyin implementing SBL is that the technique does not fit well within a typical one-hour persession class structure.In order to make it possible to implement SBL asynchronously and online, we haveintegrated ChemProV with OSBLE (Online Studio-Based Learning Environment), anonline learning management environment developed in prior research. 15 OSBLE supportsthree user interfaces: (a) student; (b) instructor; and (c) moderator. Students can submitproblem solutions (using ChemProV) to be reviewed through the system. Once they havedone so, their
studio space on teaching and learning: Preliminary findings from two case studies. Innovations in Higher Education, 33, 217-228.4. Prince, M. (2004). Does active learning work? A review of the research. Journal of Engineering Education, 93(3), 223-232.5. Collis, B., de Boer, W., & van der Veen, J. (2001). Building on learner contributions: a web-supported pedagogic strategy. Educational Media International, 38(4), 229-40.6. Kimok, D., & Heller-Ross, H. (2008). Visual tutorials for point-of-need instruction in online courses. Journal of Library Administration, 48(3/4), 527-543.7. Chu. K.C., & Leung, D. (2003). Flexible learning via web-based virtual teaching and virtual laboratory systems. Journal
Paper ID #5942”You choose between TEAM A, good grades, and a girlfriend - you get tochoose two!” - How a culture of exclusion is constructed and maintained inan engineering design competition teamMs. Cindy E Foor, University of Oklahoma Cindy E. Foor is the Associate Director/Research Associate for the Research Institute for STEM Ed- ucation (RISE) at the University of Oklahoma. Her contribution to the multi-disciplinary team lies in qualitative methodologies, cultural theory and the belief that outliers offer great insight into the workings of power. Her research interests include cultural theory, the cultural/historical
analysis revealed thepresence of the carrier frequency in the AM signal and the absence of the carrier frequency in theDSBSC signal. Time domain plots of both signals are shown in figure 6.Figure 6. Time domain plots of generated functions: (a) AM signal; (b) DSBSC signal. The programmable function generator was also used to study the effects of aliasing imposed bythe sampling process. A 15-kHz square wave was sampled both with and without the anti-aliasing low-pass filter simulation found in the LPFTPL program. An aliasing frequency of 5kHz was anticipated in the signal that was processed without the filter. The Fourier series for thissquare wave is fsq(t) = A0 + A1cos(2π ×15000t) + A3cos(2 π x 45000t) + . . . (8
. Page 23.64.51) The TI TMS320C6713 is a) an 8-bit processor b) a 16-bit processor c) a 32-bit processor d) a 64-bit processor e) none of the above2) A large number of random voltages (uniformly distributed between ±𝑉ref are applied to a 3-bitADC. Digital outputs [0, 1, 2, 3, 4, 5, 6, 7] are observed with respective relative frequencies 3 1 1 1 1 1 1 1 1[16, 8, 8, 8, 8, 8, 8, 8, 16 ]. The most likely cause for this anomalous output is a) ADC gain error b) ADC missing c) ADC nonlinearity d) ADC offset error codes error e) none of the above3) To sample 𝑥(𝑡) = cos(2𝜋1000𝑡) sin(2𝜋2000𝑡) without aliasing, the minimum sampling rateshould be a) 1000 Hz
where the pair is connected and movable (e.g. shaft-bearing joints, slider-guideway joints, gear joints, etc.). b. Fixed connection where all relative degrees of freedom are suppressed (e.g. bolted or welded connections).With these guidelines, a virtual assembly environment can be built. However, there are stillmany concepts to be clarified, such as features, feature associations, hierarchical assemblystructure, assembly sequence modeling and how to integrate these concepts with scripted entities(SENTs) as mentioned in Section 2.In order to illustrate these issues, a planetary gear train is described below. Because planetarygear trains are characterized by high power transmission efficiency and low space requirements,they are widely
unique set of individuals: 1. Former program participants who volunteer to: a. Create a unique theme and program content b. Manage a budget and schedule c. Recruit and lead volunteer content developers d. Arrange executive speakers e. Solicit and guide volunteer weekend coaches f. Manage communications and logistics 2. Program participants who have agreed to attend a minimum of two weekend retreats 3. Previous program graduates who offer their expertise as volunteer: a. Content developers b. Logistic leads c. Evaluators d. Small team coaches 4. Executive speakers (minimum three per each offsite weekend) 5. Volunteer coaches, speakers, content developers
incident bar and transmitter bar are straingauged. The striker assembly is attached to the pressure valve and air compressor with airpressure pipe. After the prototype is finalized, the apparatus needs to be tested and validated forthe desired performance. Figure 13 presents different photographs of the prototype fabricated. Figure 13 (a) Split Hopkinson Pressure Bar Prototype fabricated Page 23.1007.16 Figure 13 (b) Split Hopkinson Pressure Bar Prototype attached to the Air Compressor Figure 13 (c) Striker Assembly Figure 13 (d) Strain Gauge mounted on Transmitter
either included or excluded. While the majority of students seem to have higherscores when their own self-evaluation is included in the computation of this score, the statisticalsignificance of this observation is more modest, on the level of α=0.2.We did not implement any measure to determine student preferences for the two types ofevaluation systems. Both the point division and CATME systems are being implemented again inthe Spring 2013 semester and plans for a student attitude survey are ongoing. Page 23.32.8References[1] Michaelsen, L. K., A. B. Knight, and L. D. Fink (eds.), Team-Based Learning: A Transformative Use of SmallGroups in
main goal of this course is for you to become a systemic thinker who uses a systematicapproach, based on methodologies in the course materials, to analyze open-ended, ill-definedproblems and issues. You will accomplish this goal by:1. Demonstrating and effectively applying the following during the appropriate phase of analysis a. formulate a problem and develop a clear statement of needs • goals, objective trees, indices of performance • functional requirements and design specifications based upon system trades b. identify solutions to a problem • creativity and innovation, brainstorming, researching existing/near solutions to the same/similar problems
sizing.4. LABORATORY ACTIVITIESThe College of Engineering has assigned a modern laboratory space for the projectimplementation. The space has been renovated, electrical connections dropped, and six modernlab tables with storage facility have been installed. Each station is equipped with test equipmentfrom Tektronix and they include: Tektronix AFG 3022 B Dual Channel Arbitrary/FunctionGenerator, Tektronix MSO 3014 Mixed Signal Oscilloscope, Tektronix DMM 4010 5-1/2Digital Multimeter, and Instek SPD-3606 Dual Range DC Power Supply. Each station is alsoequipped with a desktop computer and the computers are interfaced to the equipment throughEthernet cable. Each computer is equipped with latest windows operating system, high speedprocessor, and
Signal Processing Course”, ASEE Annual Conference, Louisville, Kentucky, June 2010. 11. R. W. Ives, Y. Du, D. M. Etter and T. B. Welch, “A Multidisciplinary Page 23.327.13 Approach to Biometrics”, IEEE Transactions on Education, Vol. 48, No. 3, pp. 462–471, August 2005.12. C. M. Bishop, Pattern Recognition and Machine Learning, Springer, 2006.13. I. T. Nabney, NETLAB: Algorithms for Pattern Recognition, Springer, 2002.14. S. Haykin, Neural Networks: A Comprehensive Foundation, Prentice-Hall, 1999.15. Amin Fazel and Shantanu Chakrabartty, An Overview of Statistical Pattern Techniques for Speaker Verification, IEEE
be the co-domain B. We can then make the following definition:Function Course Assessment: An assessment of a course where all the course assessmentshave been mapped to a course learning outcome and none of the assessed learning outcomesis one-to-many or many-to-many (They are either one-to-one or many-to-one)This definition deals with assessment focus. In the case of a Function assessment, eachassessment we made in this course is uniquely mapped to one and only one learning outcomesignaling highly focused assessment exercises.Next, we will use the definition of the “onto” functions to make the following definition:Onto Course Assessment: An assessment of a course where all the learning outcomes of thecourse have been individually assessed by
design, test and mathematically model a system, whichmimics a heart-lung system. Within a 15 minute testing period, the design had to process fiveliters of ‘blood’, maintain an ‘appropriate’ flow rate, oxygenate the blood a minimum amount of3 mg/l, cool the blood 5-8 oC and minimize the system volume (less than 1.5 liters). In addition,the designs had to minimize system leaks and cost. A complete description of the design projectis provided in Appendix B. Provided below are some pictures taken during testing. Figure 1: Various Heart-lung system design projects (Fall 2009).Critical Thinking / Reflection Writing Assignment In the fall 2009 semester, 200 freshman chemical engineering, computer engineering andmechanical