Database (ERD) 1) Brief B. Data Warehouse and Data Mining 1) Brief As the data of a university housing has to be maintainedin a finite order, it is better to take a help provided by a The subject of this Data Warehouse is “repair Requestdatabase, due to which the dealing with the information Information”. It is based on the repair requests made bybecomes very simple. Also having a database for the Housing students live in one
week. In addition, they were required tosubmit a typed, one-quarter to one-third page paragraph answering a stated question or choiceamong questions (see Appendix B). These questions were designed to overlap with the coursecontent for the week, and the nature of the questions evolved during the semester in response tostudent performance and feedback. Toward the end of the semester, we also offered studentsopportunities to re-write previous paragraphs for a higher grade. Students were given no in-classinstruction in paragraph writing, but on the course web site we provided students with resourcessuch as documents about writing, links to online writing guides, and student-produced examplesof well-written paragraphs. These materials were accessed
ASCE guidelines to be better aligned with the project scope, timeline, andknowledge base of the student authors. The student reviews were conducted entirelyqualitatively. In their reviews, students were expected to: a) briefly summarize the subjectmatter of the manuscript; b) comment on overall writing style and organization of themanuscript; c) identify specific problems with spelling, grammar, and/or sentence structure; d)comment on relevance and thoroughness of literature review provided in the manuscript; e)evaluate the methodology used for numerical content in the manuscript; and f) providerecommendations for improvement to the manuscript. The instructor provided similar feedbackand provided a grade (that was independent of the student
with dependency but this Figure 2: PAET configuration [10] experiment cannot by studied more and another important factor is that if one spacecraft completes their mission properly III. DISCUSSION OF MINIATURE CANSAT’S extensive data is achieved and how about if we give thisWe see the risk, cost, and science return associated with theory to 20 or 100 spacecraft.minimized models and the experiments are shown in practical B. Costterms but more centralized experimentation is needed. Cost is always a function of reliability [5] as we see that A. Risk
complicated to getinformation due to the huge amount of data of the trace file, B. End-to-End DelayAWK provides statistics and calculates results. Moreover, it It is the average time duration needed by a flow ofis easy to use and flexible, regardless of whether the trace packets to be transmitted from sender to receiver, and itfile is for unicast, multicast, wired or wireless networks. indicates the network’s speed and reliability [2] [14] [42] [44] [45]. I. PROPOSED MODEL Calculation
) award from the OfficeUndergraduate Involvement in Computer Science Research,” Proceedings of of Naval Research (ONR).the 8th IFIP World Conference on Computers in Education, Cape Town,South Africa, 2005. E.H. YANG is a Professor of Mechanical Engineering Department at Stevens Institute of Technology. He has been the recipient of a number of awards,12. A.L. Zydney, J.S. Bennett, A. Shahid, and K.W. Bauer, “Faculty including Lew Allen Award for Excellence, NASA ICB Space Act Awards,Perspectives Regarding the Undergraduate Research Experience in Science Bonus (Level B and C) Awards and
on engineering students and K–12 teacher partnership in an ‘Introduction to Mechanical Engineering’ course. Frontiers in Education Annual Conf., Institute of Electrical and Electronics Engineers, New York (1998).9. Wilson, D. M., and Chizeck, H. ‘‘Aligning outreach with cognitive development: K–12 initiatives in electrical engineering at the University of Washington.’’ Frontiers in Education Annual Conf., Institute of Electrical and Electronics Engineers, New York (1999).10. Genalo, L. J., Wright, C. T., and Wright, K. B. ‘‘Toying with technology in elementary education.’’ Frontiers in Education Annual Conf., Institute of Electrical and Electronics Engineers, New York (1998).11. Bottomley, L. J., Parry, E. A
. Over 400 middle and high school students visited the Agricultural and BiologicalEngineering workshops at Purdue University between 2009 and 2011. The data was collectedand analyzed to learn about students’ perception and motivation to pursue a career in a STEMfield after completing the workshops. While some students participating in these workshops optvoluntarily to participate, many did not have the option to choose, and had no previous Page 24.1330.2knowledge of the topics presented in these workshops. 3. Literature ReviewResearch on the use of robotics in the classroom can be divided into four major groups a)practitioner’s experience, b
American Society for Engineering Education, 2014 “Engineering Economics Jeopardy!” Mobile App Development Process and Student Satisfaction Weihang Zhua, Alberto Marqueza, Julia Yoob a Department of Industrial Engineering b Department of Professional Pedagogy Lamar University, Beaumont, TX, 77706, USA Abstract: This paper presents the mobile application development process and students’satisfaction of the developed app for the Engineering Economics course. The mobile app wasfirst designed in Summer 2012, and the app was incorporated into the
: of all the means is applied as detailed below. ! ! (! !!)! B. Clustering Mean data with K-Means 𝑐∗𝑒 !!! ! (3) For initial seed values, any arbitrary values can be taken.where h is the bandwidth of the kernel, c is a constant factor For this study, the mean (m) and standard deviation (sd) ofand p is the number of pixels in the training set. Ignoring the the weighted mean (mean-shift) values are computed. Then three seed values are taken as m1=(m-sd), m2=m, and
affirmative. Students reflected on the influenceof single experiences (such as research, internships, and engineering organizationalinvolvements) on their sense of belonging, educational persistence, or professional persistenceplans18.Building on prior literature, this study sought to answer the following research questions: 1. Do male, female, white, and non-white students have similar experiences in terms of: a. Consideration of leaving engineering at the same points and with the same frequency? b. Consideration of the same factors to be encouraging / discouraging for continuation in engineering? c. Involvement in engineering organizations, campus activities, and the community? 2
and results ACTION Ethical Unethical I don’t know A Selecting a contractor based on lowest bid price 70.1% 20.3% 9.6% Unbalancing a bid in an attempt to get money early to B 20.2% 61.2% 18.5% finance later parts of the job Taking a subcontractors bid and showing it to another C subcontractor with the aim of getting a lower bid price 24.7% 65.7% 9.6% – i.e. bid shopping Two or more contractors agreeing before the bid to D 20.3% 68.9% 10.7% increase their bid prices A
1. Use equation 13 to calculate the displacement of the first segment of movement (distance when car is being pushed by( ) (22) the mousetrap) 2 .Use equation 14 to calculate the final velocity (vf)B. Procedure of Calculating Frictional Force 3. Calculate the inertia of the non-driven wheels using 1. Set up a Dynamic Track so that it can be tilted equation 18 2. Place the car on the track and tilt it so that the car rolls 4. Use equation 19 to calculate the initial angular velocitydown at a constant
outside classroom after every lecture. Students needed to write the following in thejournal: a. date; b. a list of activities done in class; c. what students have learned from today’sactivities (this is the meat part of the journal, they can put examples, details etc, usually shouldbe at least one page); d. questions students still have, leave 2-3 blank lines between each questionfor answers (this is a very important part of the journal, they can use this part to communicatewith professors). Journals were collected randomly once a week. When collected, journals werereviewed and graded in a 10 scale system: 9 means good, 6 is OK and 2 means bad. Studentscannot copy notes when they write journals; instead, they have to use their own words
perspective of past technologies and how they were discovered and used. In thiscontext the two biggest technology drivers of agriculture and war are studied in detail.Throughout the course, numerous technologies are scrutinized and examined in terms of theircost versus benefit to society. The main objectives of the course were to: (a) promote awarenessof technological development, and (b) provide a rudimentary understanding of the social,political, economic, and cultural impact.The course content explores innovations and inventions associated with ancient as well as retrotechnologies in the fields of agriculture, weapons, time measurement, industrialization,transportation, communication, and the environment (Loendorf & Geyer14, 2009
maximum weight that can be supported by the cable attached to the earbuds? Howcould you test this experimentally?Examples for electrical engineering threaded discussion questions used in EGR 320L are also shownbelow: “If you had a meter to investigate the electric power system in your home, what would voltagewould you measure for the electricity coming into your home? What frequency is the power coming intoyour home? Do all devices in your home operate at this voltage and frequency? How do you know?”Appliances A, B, and C consume 250, 480 and 1450 watts of power, respectively. The system voltage is120V, and the circuit breaker is rated at 15 amps. Which combinations of the three appliances can be onat the same time, and which combinations will
following way,“Uh...I did, uh, a little bit of research to just, just give people preface, and that was on theeconomic side, specifically. And then, um, involved in planned discussions, obviously gave input,and also set up the mechanism where people could ask questions via text.” He also helpedmoderate small group discussions which he described as, “[B]asically, uh, just trying to keepanybody from kind of grandstanding within the discussion and being, like I know, that somebodycan even be a professor, as a student we are kind of supposed to tamper them down and allow a lotof different voices to come out, generate questions, compile those questions, and kind of move ahandful to the top.” As a result, even though Way characterized his role as a small
Paper ID #9670Big Picture Thinkers in Industry—Who Are They?Hadi Ali, Purdue University, West Lafayette Hadi Ali is a Ph.D. student in the School of Engineering Education at Purdue University. He holds a B.S. in Aeronautics and Astronautics from Purdue University and a B.Sc. in Mechanical Engineering from the University of Jordan. He earned his Masters degree in Aeronautics and Astronautics from Purdue Univer- sity (majoring in aerospace systems design, with a minor in astrodynamics and space applications), and a Masters degree in Electrical and Computer Engineering from Purdue (majoring in artificial intelligence
B. WindowsA. Team demographics Before research was carried out, a blueprint for the The IQP is not a major-restricted project; team members building was developed (Fig. 2). No blueprint had previouslyand faculty advisors usually come from different disciplines. existed, and drawing this item up enabled the team to speakThis is usually encouraged, in order to encourage about the house in a standardized way (e.g. by giving eachinterdisciplinary thinking among the students, and more fully window a specific identifying number).investigate every aspect of the issue. In this case, after
lowAbstract—In this paper, we study various factors affecting the power dissipation is used for data transfer.Quality of Service (QoS) of wireless sensor networks (WSNs)including the current research and the future directions. This Applications of WSN include environmental monitoring,paper presents a new Timestamp Optimization Technique to wildlife exploration, surveillance, military application andimprove and maintain the QoS in WSN. To describe the proposed healthcare research. Quality of Service (QoS) has been definedscheme, both analytical and mathematical models are presented.Assumptions are made for applicability of the scheme in as the
a notepad, which is to be used as student journal for this class. In the journal, students need to keep: a. All notes taken in class b. All field trip reflections c. Time management calendar and reflections d. Questions, issues, or perspectives you gained from the readings and would like to raise in class e. Current event article link and paragraph f. Reflections on what you gained from your FYE activities. g. These journals will be collected twice during the semester for feedback. The final h. Journal must be submitted to your instructor at the scheduled time of the final exam.Themes There are mainly five themes
21st century, the rapid growth and knowledge occurs. One important consideration is thatadvances of information and communication technologies bring access to the corporate knowledge-base is made absolutelyhuge changes in function, contents, and communications and the easy-to-reach. The technology for information retrievalway we seek information and knowledge. Knowledge becomes the must be engaged to enable employees to effortlesslymost important factor in the long-term success for both an retrieve all the information they need, when they need it.individual and an organization. A lot of firms are just beginningto understand that knowledge is
. I pointed my classmates to these videos for ourexam and they’ve helped a ton.”References 1. Pinder-Grover, T.; Green, K.R.; Millunchick, J.M. The efficacy of screencasts to address the diverse academic needs of students in a large lecture course. Adv. Eng. Ed. 2011, 2, 1-28. 2. Toto, J.; Booth, K. Effects and implications of mini-lectures on learning in first-semester general chemistry. Chem. Ed. Resch. Pract. 2008, 9, 259-266. 3. Oehrli, J.A.; Piacentine, J.; Peters, A.; Nanamaker, B. Do screencasts really work? Assessing student learning through instructional screencasts, ACRL Conference.2011, 127-144. 4. Toto, J. The Mini-lecture Movie Effect on Learning in an Online General Chemistry Class, 2007. http
, 2000.[9] L. W. Anderson, D. R. Krathwohl, and B. S. Bloom, “A taxonomy for learning, teaching, and assessing.”Longman, 2005. Page 24.1389.10[10] M. Mercier-Bonin, K. Ouazzani, P. Schmitz, and S. Lorthois, “Study of bioadhesion on a flat plate with ayeast/glass model system.” Journal of Colloid and Interface Science 271 (2004) 342-350.
lab courses which provide students with hands-on experience with electrical engineering. These labs/courses are: electrician foundation lab; analog electronic technology lab; digital electronic technology lab; power electronics technology lab; microcomputer lab; automatic control lab; electrical machine lab; power system dynamics lab; and at least 40 working hours of industrial engineering training in practice factory.In the second semester of the senior year, students are divided into the following six specialties: A. Electric Power System B. Electric Power System Protection C. Electric Machinery and Apparatus D. Power
Paper ID #10297Large Research Center Education and Outreach: Lessons from 5 years ofDistributed Collaborative Design, Development and ImplementationDr. Sean P Brophy, Purdue University, West LafayetteDr. Thalia Anagnos, San Jose State University Dr. Thalia Anagnos is a professor in the General Engineering Department at San Jose State University, where she has taught since 1984. She also serves as co-Leader of Education, Outreach, and Training for the George E. Brown, Jr. Network for Earthquake Engineering Simulation, a consortium of 14 large-scale earthquake engineering experimental facilities
@egr.msu.edu East Lansing, MI 48824-1226 http://www.egr.msu.edu/dpo/ (a) Professional Preparation: Undergraduate Michigan State University Advertising B.A. 1996 Professional Preparation: Graduate Jones International University Adult Education – Higher Education Leadership and Administration M.Ed. 2011 (b) Appointments 2008-present. Director/Assistant to the Dean for Diversity, Diversity Programs Office, College of Engineering, Michigan State University. 2007-2008. Assistant Director, Diversity Programs Office, College of Engineering, Michigan State University. 2006-2007. Retention and Recruitment Coor- dinator, Diversity Programs Office, College of Engineering, Michigan State University. 2005. Recruiter, Admissions
on student attitudes toward and understanding of engineering careers.Sample PopulationFor this pilot year research project, the sample population consisted of three schools selectedfrom the 15 total participating schools: School A, School B, and School C. The schools in theresearch cohort were chosen because they completed all of the following criteria: a letter ofwillingness to participate from one school administrator, an assent form from each participatingstudent, pre-survey, three separate ‘You’re Hired!’ activities, and a post-survey. If a studentchose not to complete the assent form, their individual data is not included within data analysisas per Institutional Review Board (IRB) requirements. School A consisted of 83 7th
of the student in Statics or in the follow on courses. In the course ofadministering the Statics OLI over the years, it was observed that several students strugglewith a few common concepts. These are presented and discussed later in this section.Course statistics: 1. Statics: Winter 2010 a. Number of students participated (took quizzes) – 42 b. Number of students who took all the assigned quizzes – 42 c. Number of Modules/concepts/quizzes covered – 10 Page 24.1100.5 d. Number of students who took additional quizzes for extra credit – 6 e. Number of additional Modules attempted for extra credit – 7 f. Average scores
midterm test scores of students from Instructor B who used the hands-onapproach (only) with test scores of students (from Instructor A) who used simulation method(only). The criterion for statistical significance was set to alpha = .05. Two low score outlierswere identified in the midterm scores of the simulation group for Instructor A and these outlierswere changed to the nearest higher value within the group, (Outliers were not changed to themean scores to retain the scoring pattern of the students in the group assuming from the scoringpattern that the students were low scorers.) Examination of histograms, Q-Q plots, andKolmogorov-Smirnov test statistics indicated that the assumption of normality was met.Levene’s test indicated that the