Specifications (Details on the following items), a. Operating System (Linux as is used on almost all of these clusters), b. Overall System Components Summary, c. Compute nodes, d. High-memory nodes, e. Graphics Processing Unit nodes, f. Management node(s), g. Storage node(s) - parallel?, h. High-speed network for message passing, i. Management network, j. Racks and power distribution, k. Software 2. Extended Warranty: Details of what you and your institution and/or funding agency requires. Carefully consider components that are more likely to fail and if some components are warrantied by the original equipment manufacturer. What is the
: Investigation of student understanding,” Am. J. Phys. 60, 994–1003 (Nov. 1992); https://doi.org/10.1119/1.17003.6 Shaffer, P.S. and McDermott, L.C., “Research as a guide for curriculum development: An example from introductory electricity. Part II: Design of instructional strategies,” Am. J. Phys. 60, 1003–1013 (Nov. 1992); https://doi.org/10.1119/1.16979.7 Ekey,R., Edwards, A., McCullough, R., Reitz, W., and Mitchell, B., “A Fan-tastic Alternative to Bulbs:Learning Circuits with Fans,” Phys. Teach. 55, 13 (2017); doi: 10.1119/1.4972490.8 L.C. McDermott, ”Millikan Lecture 1990: What we teach and what is learned-Closing the gap.” Am. J. Phys. 59, (4) 301 (April 1991); doi: 10.1119/1.16538.9 National Science Foundation, Division
troubleshooting the equipment or setup via finding my own solutions to problems. 4. I have mastered the scientific methods of experimental documentation. (a) (b) (c) (d)Figure 1: Results of survey for the first four statements outlined in Section-1: Learning Goals.Figure 1(a-d) shows the outcome of the questions in Section-1: Learning Goals. Statement 1 (Fig:1a), received the ratings of 4 and 5 by 69% and 25% of the students, respectively. Statement 2(Fig: 1b), received the ratings of 4 and 5 by 31% and 56% of the students, respectively. Statement3 (Fig: 1c), rated as 4 and 5 by 44% of the students. Finally, statement 4 (Fig: 1d) was rated as 3and 4
, the students in the mechanics class were not asked toapply the layout in hand-written homework. As a result, most of their homework submissionslacked organization, neat solutions, good spacing, and, more importantly, the evidence of theirthought process. In the Fall semester, students were provided format rules and directions tocomplete their hand-written homework assignment along with online submission. The layout andinstructions used in E&M course is as follows: Given, Find, Figure, Assumptions, Plan,Estimate, Solution, and Discussion. The full homework format rules are provided in Appendix A.Students were also required to attach homework coversheet shown in Appendix B where they gothrough a checklist for the format and provide their
calculators allowedBasic Math ExamSolve the following:1) 1/2 + 4/5 =2) 1/2 x 4/5 =3)𝑓 = 𝑚 ∙ 𝑎, 𝑓 = 5, 𝑚 = 2, 𝑎 = ? 103 1074) simplify this expression: =? 10−11 1025) The following formulas are used to calculate what properties and for which shapes?y = mx + bc = 2πrA = πr2A = ½ bhA = 4 πr2V = 4/3 πr36) How long is the hypotenuse and what is the angle of a right triangle having opposite sideO = 5 and adjacent side A = 3?7) How many yards are in 6 meters? Use 1m = 100cm, 2.5cm = 1 inch, 36 inches = 1 yard8) Vector C = A + B where A = -15x - 12y and B = -3x + 9y; what are the two components, themagnitude and the angle of C?Generating data and Plotting DataFor each of the
Paper ID #19088Initial steps toward a study on the effectiveness of multimedia learning mod-ules in introductory physics courses for engineersProf. Douglas Scott Goodman, Wentworth Institute of TechnologyDr. Franz J Rueckert, Wentworth Institute of Technology Dr. Rueckert is an experimental physicist specializing in condensed matter. His research interests include magnetic and electronic properties of perovskite materials and, more recently, novel approaches to physics education.Dr. James O’Brien, Wentworth Institute of Technology James G. O’Brien is currently Chair of the department of Sciences and Associate professor of
Paper ID #20479Research and Education Enabled by a High Performance Computing Clusterat a Predominantly Undergraduate InstitutionDr. Evan C. Lemley, University of Central Oklahoma Professor Lemley teaches thermo-fluid engineering and works with undergraduates to perform fluid dy- namics research that is mostly focused on small scale flow problems. He is currently an Assistant Dean of Mathematics and Science and a Professor of Engineering and Physics at the University of Central Oklahoma, his home institution for more than fifteen years. Previously, Professor Lemley worked as a mechanical engineer in the power industry. His
Paper ID #18123Using Antenna Modeling Software and an RF Analyzer - A Study for StudentOriented Helical Antenna ProjectsDr. Paul Benjamin Crilly, U.S. Coast Guard Academy Paul Crilly is a Professor of Electrical Engineering at the United States Coast Guard Academy. He re- ceived his Ph.D. from New Mexico State University, his M. S. and B.S. degrees at Rensselaer Polytechnic Institute, all in Electrical Engineering. He was previously an Associate Professor of Electrical and Com- puter Engineering at the University of Tennessee and was a Development Engineer at the Hewlett Packard Company. His areas of interest include
Paper ID #20204A Summer Camp in Engineering Physics for Incoming Freshman to ImproveRetention and Student SuccessDr. Hector A. Ochoa, Stephen F. Austin State University Hector A. Ochoa received his Ph.D. in computer engineering from The University of Texas at El Paso in 2007. He received his M.S. in Physical Sciences from The University of Texas at El Paso in 2004. He joined The University of Texas at Tyler as a visiting professor at the department of electrical engineering on Fall of 2007. In fall of 2008, he started working as an assistant professor at the same university. On the Spring of 2016 he Joined Stephen F
learningBenford and Lawson (2001) conducted a quantitative study to test the hypotheses: a) teacher’scientific reasoning positively relates to an effective use of inquiry-based learning, and b) aneffective implementation of inquiry-based learning fosters the development of scientificreasoning in students. Both hypotheses were accepted, meaning scientific reasoning works as apredictor of an effective implementation of inquiry-based learning and students improve theirscientific reasoning when effectively using inquiry-based learning.Scientific reasoning and problem solvingAguilar et al. (2002) conducted a quantitative study to determine the relationship betweenproblem solving skills and different levels of scientific reasoning. In this study, 78 high
of x, (b) Calculate 𝑍!" at 𝜆! /8 away from the load, (c)Calculate Γ! , (d) Calculate VSWR and (e) Calculate the transmitted power and reflected power as apercentage of incident power 𝑃!"Solution: (a) 𝑍! = 0, 𝑍! = 50 Ω. !! !!! Γ! = = -1 = 𝑒 !!"# => Γ! = 1 50 Ω 𝑍! !! !!! Φ = 180 ! !/! Applying this for 𝑉(𝑥) , we get ( 𝑉(𝑥) = 𝑉! (1 + Γ! )! − 4 𝑠𝑖𝑛! (𝛽𝑥
uncertainty in measurement (“GUM”).Students advance through a rotation of experiments that involve topics from mechanics, optics,electronics and quantum optics. The course follows a progressive structure by starting withconceptually simpler experiments designed to show the effects that the design of the experimentcan have on the final result and its uncertainty. These early labs allow students to focus onconcepts including Type A and Type B uncertainties; systematic errors; standard uncertainty andcombined standard uncertainty; coverage factor; and the propagation of uncertainty. Studentsalso begin to track uncertainty with a rudimentary uncertainty budget. For the rest of the course,the experiments become more open-ended and complex, and the
learning. During thatfive-year span, the course was taught exclusively by the author. The author also considered thefive-year period prior to 2010, for which the course was taught in the traditionallecture/lab/recitation format. (In 2009, the course elements were combined but only modestamounts of active learning were added). Table 2 summarizes the grade data over the completeten-year period. The table includes the number of students in the course each year, the averageGPA for the class (neglecting withdrawals), the percentage of the students that passed the course(requires a grade of “C” or better), and the percentage of the students that earned a “B” or better.The years shaded in green were taught using the new course structure with active
, 142). Carol Stream, Illinois: Tyndale House Publishers, Inc.[2] Kardaras, N. (2016, August 27). It’s ‘digital heroin’: How screens turn kids into psychotic junkies. New York Post.[3] Jones, T. H. and Paolucci, R. (1998). The learning effectiveness of educational technology: A call for further research. Educational Technology Review, (9), 10 – 14.[4] Deslauriers, L., Schelew, E., and Wieman, C. (2011). Improved learning in a large-enrollment physics class. Science, 332, 862 – 864.[5] Smith, M. K., Wood, W. B., Adams, W. K., Wieman, C., Knight, J. K., Guild, N., and Su, T. T. (2009). Why peer discussion improves student performance on in-class concept questions. Science, 323, 122 – 124.[6] Mazur, E. (1997
question #35 is much more difficult than question #34, butits percentage of correct answer is higher (53.8%). We believe that the cause lies at thecorrelation among the questions #32-34, because all of them are on the same P-V diagram shownin Fig. 2 (b). More specifically, they are on work (#32), internal energy (#33), and heat transfer(#34). The details of the test result are the following: five students (32, 33, 34), twostudents (32, 33, 34), three students (32, 33, 34). These ten students might haveapplied the first law of thermodynamics in answering question #34. If they made one mistake ineither question #32 or question #33, they would select a wrong answer in question #34. On theother hand, the remaining three students did not pay
Paper ID #18439Introducing Coding in Freshman Physics Laboratories using ArduinosDr. Carl K Frederickson, University of Central Arkansas Dr. Frederickson has taught physics at UCA for 22 years. He is the current department chair and is leading the development of a new Engineering Physics degree program. c American Society for Engineering Education, 2017 Introducing Coding in Freshman Physics Laboratories using ArduinosAbstractDuring the fall semester 2015 Arduino microprocessors were introduced into the second semestercalculus based physics laboratory. The
especially in improving the quality of communication andencouraging the students to share also unfinished steps of the process to receive feedback fromtheir peers and instructors earlier in the process, and ease the difficulty of commenting otherparticipants work. This intensive peer learning and feedback worked well during the collocatedsessions of the course, but the higher communication barriers of the current online tools hinderedit a lot during the remote sessions. The ultimate goal of such a platform would be to make theremote collaboration more enjoyable and more productive than collocated face-to-face work.ReferencesBarron, B. and Darling-Hammond, L., 2010. Prospects and challenges for inquiry-basedapproaches to learning. The nature of
engineering’s learning, discovery, engagement and collaboration study.Dr. Jinyuan Zhai, University of Akron Jinyuan Zhai is Ph.D. graduate from the Department of Mechanical Engineering at The University of Akron. She earned a Ph.D. in mechanical engineering from The University of Akron in 2016 specializing in solid mechanics areas. Her dissertation work was on Modeling Ductile Damage of Metallic Materials. She has also worked as a lecturer (assistant professor) of mechanical engineering at University of Science and Technology, Beijing. Dr. Zhai received her B. Eng and M. Eng degrees in Engineering Machinery from Taiyuan University of Science and Technology, formerly known as Taiyuan Heavy Machinery Insti- tute where she
. identify potential future students and to guide and mentor them in exploring their career options and opportunities, b. elevate the educational gaps between the high school and the first year university for a potential candidate by introducing intermediate topics that can bridge the gaps, and c. provide a campus environment in which the middle school students and high school students can experience their independence and learn responsible decision making as growing adultsThe recruitment avenues include summer or weekend camps for the targeted students and areascience fairs, and feeder school visits (Barger et. al, 2104). Among them, summer camps withspecific themes for the middle and high school students are one of the
&S IT-Consulting Christian Steinmann has an engineer degree in mathematics from the Technical University Graz, where he focused on software quality and software development process assessment and improvement. He is man- ager of HM&S IT-Consulting and provides services for SPiCE/ISO 15504 and CMMI for development as a SEI-certified instructor. He performed more than 100 process assessments in software development de- partments for different companies in the finance, insurance, research, automotive, and automation sector. Currently, his main occupation is a consulting project for process improvement for safety related embed- ded software development for an automobile manufacturer. On Fridays, he is teaching
Paper ID #19526Incorporating Quantum Technologies into Engineering CurriculumDr. Hyung S. Choi, Greenville College Dr. Hyung S. Choi is Professor of Engineering and Physics, Chair of Physics Department, and Director of Engineering Program at Greenville College. Before he came to Greenville in 2013, he served as Director of Mathematics & Physical Sciences Division at the John Templeton Foundation, PA. He was a Visiting Researcher at Wycliff Hall, Oxford University; Visiting Fellow at St. Edmund’s College, Cambridge University; Witherspoon Fellow at CTNS, Berkeley.Dr. Choi received his Ph.D. in Physics from Graduate