Paper ID #10151A longitudinal study on the effectiveness of the Research Experience for Un-dergraduates (REU) program at Missouri University of Science and Technol-ogyDr. Hong Sheng, Missouri University of Science and Technology Dr. Hong Sheng is an Associate Professor in Information Science and Technology (IST) at Missouri University of Science and Technology (Missouri S&T). She is also co-director of the Laboratory for Information Technology Evaluation (LITE) at Missouri S&T. Her research interests include trust and privacy issues in information systems, mobile and ubiquitous applications, usability and eye tracking
conceptual design for a Data Warehouse which would integrate the different data servers the company used. With i2 Technologies he led the work on i2’s Data Mining product ”Knowledge Discover Framework” and at CEERD (Thailand) he was the product manager of three energy software products (MEDEE-S/ENV, EFOM/ENV and DBA-VOID) which were/are used in Asian and European countries by both governmental and non-governmental organizations. Acharya has a M.Eng. in Computer Technology and a D.Eng. in Computer Science and Information Management with a concentration in knowledge discovery, both from the Asian Institute of Technology in Thailand. His teaching involvement and research interest are in the area of Software Engineering
. Mosst of the studdents go throough afounddation prograam before thhey are enrollled as a fresshmen student in PI. Thee foundationnprogrram is designned to help students s develop knowleedge, study sskills, techniical,analy ytical, and co ommunicatio on skills whiich are necesssary to meeet the PI’s enntrancerequiirements andd assist them m in their futu ure studies att the Petroleeum Institutee. Thefounddation prograam at the PI is called as the Advanceed Universitty Placementt program.Courrse framewo orkOncee the student reaches the freshmen leevel there aree core coursees that have to completeirresp
draw after about 28 minutes. Figure 3 shows hisdrawing. It is intended to be a carousel-type layout, but he had difficulty drawing a circle, so hedrew a rectangle instead, with blocks indicating the stations. The design is intended to includenine stations arranged in a circle, with the 1st station adjacent to the 9th station. He used the pinkstar to point to which part(s) would be assembled at each station as he talked. The designincludes five robot stations (3, 4, 5, 6, and 9) and four manual stations (1, 2, 7, 8).Figure 4 shows his typed cost estimates (the text overlap on the first line is due to a videosynching issue). He also listed items that would normally be included in a proposal, such as aschedule
vertical,horizontal, or diagonal edges. Edge detection is a difficult task in noisy images, since both theedges and noise hold high- frequency content. Efforts to reduce the noise result in unclear anddistorted edges. Techniques used on noisy images are typically larger in scope; therefore, theycan gather enough data to discount localized noisy pixels. An example of edge detectionmethodology is given by the function:BW = Edge (I) ………………………. (1)This function takes a gray scale or a binary image I as its input, and returns a binary image BW Page 24.185.7of the same size as I, with 1's where the function finds edges in I and 0
5TH ANNUAL SYSTEMS ENGINEERING DAY INNOVATIVE GREEN SYSTEMS OF SYSTEMS UNIVERSITY OF TEXAS AT EL PASO GREEN ENERGY MANUFACTURING WORKSHOP SCHEDULE (Sponsored by the U.S. Department of Education) THURSDAY, APRIL 25, 2013 Time Location Description Presenter(s) 1:00 – 2:30pm EPNGCC Dr. Louis Everett Essential Ethics for Leadership Program Director, NSF
differences with static industries. International Journal of Production Economics, 2012. 135(2): p. 541-551.12. Lo, C.K.Y., A.C.L. Yeung, and T.C.E. Cheng, The impact of environmental management systems on financial performance in fashion and textiles industries. International Journal of Production Economics, 2012. 135(2): p. 561-567.13. Kus, A., E. Unver, and A. Taylor, A comparative study of 3D scanning in engineering, product and transport design and fashion design education. Computer Applications in Engineering Education, 2009. 17(3): p. 263- 271.14. Ashdown, S. and S. Loker. The 3D Body Scanner - Ready-to-Wear. 2011; Available from: http://www.bodyscan.human.cornell.edu/scene7354.html.15. Fogliatto, F.S. and
Reports turned inW16 Peer ReviewsTable 1. Fall semester weekly progress planThis course is graded based on team performance with instructor’s ability to add bonus points(not to exceed 10 pts) to exceptional work by teams or any member(s) of the team(s) if warrantedas decided by the instructor. Team leaders are considered first as candidates for bonus points for Page 24.799.3themselves and their teams. Total points are calculated as presented in Table 2. : Brief Oral Progress Reports 20 pts Written Progress Report and Oral Presentations 30 pts Final Reports
tools stationThe Shine phase was considered very important and team members had to really focus not onlyon cleaning the area, but also finding the root cause(s) of contamination. They were to find anddocument the root cause of the un-cleanliness problem in each workplace so as to help eliminatethe problem. When a team found a dirty area, members were to ask themselves: how can weprevent this from getting dirty again? Similarly, at the discovering of oil leaks, lose or missingcovers; this question was rehearsed so as to identify opportunities to improve or eliminate theproblem. The purpose was to create awareness and help team members develop root causeanalysis skills. In this way, a little effort in the beginning could reduce the necessity for
required as part of the senior project design course.This process synthesizes all of the basic materials in the core courses and can also be used as part Page 24.730.7of the requirements of the senior project requirements for each student. In the followingsubsections of the paper we are presenting some the HOMER applications.3.2 Solar Radiation and Wind Speed DataThe HOMER simulator will be driven by traces of solar power output s(t) and wind power outputw(t) (see Figure 3 for details). These traces are obtained from empirical data on solar radiationand wind speed at the interest sites or at locations close to that sites. For solar resources the
through an engineering technology educationconsistent with industry expectations.References[1] B. Pourabdollahiana, M. Taischa and E. Kergaa, "Serious Games in Manufacturing Education: Evaluation of Learners' Engagement," Procedia Computer Science, pp. 256-265, 2012.[2] Sadat-Hossieny and J. R. Gray, "Certificate Program Summary," in Conference for Industry and Education Collaboration, 2002.[3] R. H. Todd, C. D. Sorensen and S. P. Magleby, "Designing a Senior Capstone Course to Satisfy Industrial Customers," Journal of Engineering Education, pp. 92-100, 1993.[4] J. Dewey, Experience and Education, New York: Collier Books, 1963.[5] C. Manolis, D. J. Burns, R. Assudani and R. Chinta, "Assessing experiential learning styles: A
end-user for a short-time period. These end-users include the precedinglarge manufacturing firms, power plants, and firms in different process industries as well asutilities and commercial construction firms. Page 24.1163.6EXI, an S Corporation located in Grand Prairie, Texas, is such a company. In addition to renting avariety of test equipment to the operating end-users, EXI also provides qualified engineeringtechnicians that will operate the test equipment during a turnaround. EXI was started by twoindividuals, Kenneth Davis who invested $1.5 million in the venture and Ronald Maak whomade no financial investment in the start-up. A the time of
24.1350.5Table 1 - Map of four pillars block with references to items a-p Professional Materials Processes Manufacturi Manufacturi Fundamental Competencie and Product, ng Systems ng s s (Lentil) Manufacturi Tooling and and Competitive ng Assembly Operations ness. Engineering Engineering
950 1550 Feed rate (in/rev) f 0.001 0.005 0.01 Depth of cut (in) d 0.001 0.005 0.01 Page 24.371.53.4 Experiment ProtocolBefore the experiment, the temperature measurement devices were calibrated. Then the experiments were startedaccording to the below procedures: 1) record the room temperature and tool, work-piece temperature; 2) conductthe experiments as the Table 2’s setup on spindle speed, cutting depth, and feed rate; 3) let the lathe and Labviewprogram simultaneously run for fifteen seconds to acquire the
. Copies of the capstone project were sent tothe examiners for review. Through the examination, students had to convince that their capstoneproject made a contribution to knowledge and the project demonstrated the students’ capacity tocarry out design incorporating materials learned. Page 24.453.15 Table 2: Rubric for Capstone Project Presentation Rating Evaluation and Feedback Date Presenter(s
bothparticipants helped in answering student questions. This course also helped the students becomeacquainted with college faculty and this familiarization should help with difficulties that somestudents experience with the transition to college.References1. (2013) Economic Opportunities through Education by 2015 (EcO15). [Facts about workforce skills, educational data, and other supported programs of EcO15], http://www.eco15.org/index.php.2. Hicks, T., and Heastie, S. (2008) High School to College Transitions: A Profile of the Stressors, Physical and Psychological Health Issues that Affect the First-Year On-Campus College Student, Journal of Cultural Diversity 15, 143-147.3. (n.d.) U.S. Department of Education (DOE). Teacher
by the syringe pump, moves through the chip. The flow of fluid through the chip can beclassified as laminar or turbulent. The heat transfer coefficient, h, used for calculating forcedconvective heat transfer is determined through a correlation of the dimensionless numbers: Nusseltnumber, Nu, Reynolds number, Re, and Prandtl number, Pr. Nu = hD/k Re = DVp/μ Pr = μC/k (2) Page 24.403.6Where D is tube diameter in meters; V is characteristic fluid velocity in m/s; k is thermal conductivityof fluid in kJ/hr-m-K; ρ is fluid density in kg/m^3; C is the constant pressure
called Introduction to CAM. They can write programs manually or generate thecode through the CAM package MasterCAM. NC machines have earned a certain level ofreputation in the manufacturing arena through their capabilities including the quality of the work.The question has now been formed to read ‘Is there a novel application of these machines thatcould make them more valuable and pave a way for an entrepreneurial opportunity’. Thestudents were given a lecture and notes on effectual thinking. They were given an additionalopportunity to produce a component and observe the capabilities of the machines. They werethen requested to identify the special feature(s) and design a product that would exploit thisfeature in its manufacturing process. They
reported immediately. One Week M Tu W Th F 8- SCHOOL SCHOOL WORK WORK WORK 10 hr s Program work (1-2 hours) Home Work & STUDY Figure 5 (a). Student weekly schedule Figure 5 (b). Student schedule for a two-year spanBesides academic curriculum, the students also have to conduct Manufacturing Core Exercises(MCE) weekly
partners willing to help with curriculum, supplies, technology information, class visits and more. All enjoyed and the celebration of manufacturing in Florida. Partnerships Partners and regional leaders came from a number of expected and unexpected venues. FLATE posted a sign up page on its “Made in Florida” website (http://www.surveymonkey.com/s/WR8NBBT ) for interested parties to sign up including companies wanting to host tours, schools wanting to go on tours, and other organizations who
presentation to faculty andpracticing engineers from industry. Since this is a capstone project course, many ABET StudentOutcomes are assessed each quarter as indicated in Table 1. Written, oral and studentcontribution rubrics were developed specifically for the capstone project course and are usedduring assessment and evaluation. Assessor body include Engineering Technology programfaculty, sponsoring company engineers and invited Drexel University faculty.Table 1. ABET Students Outcomes assessed per quarter offering. ET COURSES OUTCOME(s) MET 421 Project Design I a-k MET 422 Project Design II a-h, j, k MET 423
engineering through a microfabrication project, Proceedings of the ASME International Mechanical Engineering Congress and Exposition, Nov 11-15, Seattle, WA, USA. 2. Carlson, L., Sullivan, J., Poole, S., and M. Picket-May. (1999). Engineers as Entrepreneurs: Invention and Innovation in Design and Build Courses, 29th ASEE/IEEE Frontiers in Education Conference, San Juan, Puerto Rice. 3. Hein, G.L., S.A. Sorby, (2001). Engineering Explorations: Introducing First-Year Students to Engineering, 31st ASEE/IEEE Frontiers in Education Conference, October 21, Reno, Nevada, USA. 4. Carlson, L.E., Sullivan, J.F. (1999). Hands-on engineering: learning by doing in the integrated teaching and learning
: Effectively Teaching Large-Enrollment Online Classes”, Online Classroom, May 1, 20134. “Strategies for Teaching Large Classes”, Published on Office of the Executive Vice President and Provost of the University5. Natarajarathinam, M., “Redesigning a course on Electronics Distribution Networks to meet the contemporary industry needs”, Proceedings of the 2011 Annual Meeting of the American Society for Engineering Education, Vancouver, British Columbia, June 26 – 29.6. Dunn, C. K., Batts, D. L. and Friend, S. L., “How educational institutions can handle more students with fewer faculty members”, Proceedings of the 2011 Annual Meeting of the American Society for Engineering Education, Vancouver, British Columbia