used.Communication between data sources can be: a) Loopback, b) Crossover, c) Wireless Serial, d)Local Terminal, e) Local Gateway, f) Remote Terminal, and g) Remote Gateway. For instance,consider crossConnect(DS_UART0, DS_UART0). This connection is a Loopback connection,and the transmitting node is sending data through its UART0 and the receiving node is gettingthe data through its UART0. The same Loopback can be also available when one connects nodesusing crossConnect(DS_TRANSPARENT, DS_TRANSPARENT). Page 15.868.73) Communication between Synapse Portal and Bridge Node: Figure 3 shows twocommunication links between the Synapse Portal and the Bridge Node 1) for
solutions addressed the five subtasks, and (b) the strategies that studentsemployed within each subtask.In all 100 student work products, we identified strategies for each of the 5 subtasks. Within eachsubtask, we identified 3-6 different specific strategies employed by student teams in their workproducts. Deep and shallow strategies in each of the 5 subtask areas were determined byconsidering aspects of expertise and cognitive difficulty.Comparisons of deep and shallow groupings in each subtask indicate significant differences inQAG Score for 3 subtasks - Determine a Weighting System, Apply Weightings, and DetermineFinal Rankings . There was no statistically significant difference in Overall Score betweengroups that applied deep and shallow
informed choice. The common intellectualtheme is presented in the context of a mini-conference – bringing together a variety of technical Page 15.1075.4and professional competencies to meet a uniquely 21st century challenge. One of therequirements of this freshman composition course has been that students must “watch” andanalyze the news (using online tools such as Google news and its archives) to be aware of whatis going on space exploration and how new developments can affect specific technical orengineering opportunities and society. Appendix B is an informal summary of some of the mainevents that demonstrated that “space exploration” is a
for entry to advanced researchprograms and professions with high skill requirements, such as medicine, dentistry orarchitecture. Type B programs are typically shorter than type A and focus on practical,technical or occupational skills for direct entry into the labor market, although sometheoretical foundations may be covered in the respective programs. They have a minimumduration of two years full-time equivalent at the tertiary level. The maximum reduction that Page 15.681.2took place was between three and five years with engineering graduations appearing both intype A and B programs. This is also the Portuguese case. ENQA, which was called
worked with and most thought they would find a place to introduceit as part of HSE in the coming year. Decision Matrix Designs Design A Design B Design C Criteria Criterion 1 Rate Score Rate Score Rate Score for A1 for A1 for B1 for B1 for C1 for C1 (weight1) Criterion 2 Rate Score Rate Score Rate Score for A2 for A2 for B2 for B2 for C2 for C2 (weight2) Criterion 3 Rate Score
Design GraphicsDivision of the American Society for Engineering Education.In the 1993 a Special Edition of the Engineering Design Graphics Journal was published. Thisspecial edition was in celebration of the 100th anniversary of ASEE and the 65th year of the Page 15.24.2Graphics Division. The title of this special edition was “The Evolution of the Engineering DesignGraphics Division of the American Society for Engineering Education, 1928-1993.” It wasrecounted and recorded by William B. Rogers. While discussing the name changes of theDivision over the years, Rogers says this, The graphics smoke screen camouflaged our course content for barely one
AC 2010-1357: HOW A DATA MINING COURSE SHOULD BE TAUGHT IN ANUNDERGRADUATE COMPUTER SCIENCE CURRICULUMReza Sanati-Mehrizy, Utah Valley UniversityPaymon Sanati-Mehrizy, University of PennsylvaniaAfsaneh Minaie, Utah Valley UniversityChad Dean, Utah Valley University Page 15.646.1© American Society for Engineering Education, 2010 How a Data Mining Course Should be Taught in an Undergraduate Computer Science CurriculumAbstractData mining is a relatively new area of computer science that brings the concept of artificialintelligence, data structures, statistics, and database together. It is a high demand area becausemany organizations and businesses can benefit
AC 2010-1501: SPECIAL SESSION: MODEL-ELICITING ACTIVITIES INENGINEERING: A FOCUS ON MODEL BUILDINGEric Hamilton, United States Air Force AcademyMary Besterfield-Sacre, University of PittsburghBarbara Olds, Colorado School of MinesNora Siewiorek, University of Pittsburgh Page 15.1081.1© American Society for Engineering Education, 2010 MEAs In Engineering: A Focus On Model BuildingAbstractThis paper addresses the importance of models and modeling in engineering education reform. Itfocuses specifically on model-eliciting activities, or MEAs, as research and curriculum tools todevelop complex reasoning skills, nurture transference and generalizability of problem
Trans. On Education, Vol. 37, No. 3, pp. 247 - 256, August 1994. Page 15.980.83 Clark, A., and Peterson, B., “PRISM: The Reincarnation of the Visible Computer”,submitted ASEE Annual Conference Proceedings, June 2010Page 15.980.9
. Pandy, M. G., Petrosino, A. J., Austin, B. A., & Barr, R. E. (2004). Assessing adaptive expertise in undergraduate biomechanics. Journal of Engineering Education, 93, 211–222.14. Roselli, R. J., & Brophy, S. P. (2003). Redesigning a biomechanics course using challenge-based instruction. Engineering in Medicine and Biology, 22(4), 66–70.15. Yalvac, B., Smith, D., Hirsch, P. L., & Birol, G. (2007). Teaching writing in a laboratory-based engineering course with a “How People Learn” framework. In A. J. Petrosino, T. Martin, & V. Svihla (Eds.), Developing Student Expertise and Community: Lessons from How People Learn. San Francisco: Jossey-Bass.16. Abdelrahman, M., Stretz, H., McCully, A., & Pugh, B
S.A. Meyers, The Teaching Assistant Training Handbook: How To Prepare TAs for Their Responsibilities. Stillwater, OK: New Forums Press, 2001.3. Robinson, J.B., "New Teaching Assistants Facilitate Active Learning in Chemistry Laboratories: Promoting Teaching Assistant Learning through Formative Assessment and Peer Review," Journal of Graduate Teaching Assistant Development, vol. 7, pp. 147-162, 2000.4. Black, B. and M. Kaplan, A guidebook for University of Michigan graduate student instructors: Center for Research on Learning and Teaching, 1998.5. Harris, A.H. and M.F. Cox, "Developing an Observation System to Capture Instructional Differences in Engineering Classrooms," Journal of Engineering Education, vol
starts with a short introduction to robotics, for example, what is arobot and how a robot differs from other automatic systems. The learning takes place in arobotics laboratory in which the students construct and program small portable robotsusing the Lego NXT robotics environment. The robot comprises a digital controller,motors and sensors, as illustrated in Figure 4. Page 15.1003.5 Figure 4: Lego NXT robot.The students use an icon-based programming language that enables full control of eachmotor. Figure 5 presents a simple command in which robot motors A and B perform 2.31rotations at 75% full power. Figure 5: An
AC 2010-2059: DESIGN OF A LABORATORY EXPERIMENT TO MEASUREFUEL CELL STACK EFFICIENCY AND LOAD RESPONSEJoshua Goldade, University of North Dakota Josh Goldade is originally from Velva, a small town in western North Dakota. Upon graduation from Velva High School in 2002, Josh enrolled at the University of North Dakota to major in electrical engineering. In the spring of 2005, Josh left for Sweden to study abroad for a year. After returning to the U.S., he continued on the path towards his Bachelor’s degree at UND. In the summer of 2007, Josh took a six-month cooperative education position at Daktronics in Brookings, SD, and he returned to Daktronics for another summer internship in 2008. Josh
be expected to be outside of tolerance but again there parts areeffectively ‘getting in the ball park’. D1 D2a D2b D3 D4 D3-D4 D5-D6 Cross Intake Power Cylinder Piston Frame Cylinder Cylinder Inner Outter Tolerance ToleranceEngine No. Width Length Length Diameter Diameter A B 1 2.773 2.813 2.49 0.508 0.499 0.009 0.007 0.507 0.499 0.008 0.015 2 2.759 2.817 2.486 0.502 0.484 0.018 0.025 0.506 0.496
assumed.The taxonomy we use is as follows: a. Analog hardware (Table 2) b. Digital hardware (Table 3) c. Mixed signal hardware (Table 4) d. Language compilers and software development environments (Table 5) e. Test equipment (Table 6) f. Breadboard and prototyping resources (Table 7) g. Communities and publishers (Table 8)We have assembled a collection of resources in each category of the taxonomy that shows that itis feasible for a student with limited resources to experiment on his or her own. It is possible forstudents to assemble enough resources for whatever interests them using the references below.We can only imagine what might happen if the bookstores in engineering schools were
familiarizethemselves with the pieces. They also begin to build their LEGO vocabulary using a song. Threecommonly used LEGO pieces -- bricks, beams, and plate -- share the letters "b" and "p" whichare often confused by young students due to similarity in shape. By stressing these vocabularies,students also learn to differentiate between these often-confused letters. In the second and third lesson, students continue to explore LEGO pieces. They areintroduced to the profession of Engineering through a PowerPoint presentation. Students work inteams of two to use the LEGO pieces to create their own invention. The Engineering DesignProcess, part of the Massachusetts Science and Technology/Engineering Frameworks, isintroduced and is used throughout the
A Senior Level Experiment on Developing an Energy Efficient Biomass Gasification Process Daniel Domatoa, Marco Castaldib, James Patrick Abulenciaa a Department of Chemical Engineering, Manhattan College, Bronx, NY, USA b Department of Earth and Environmental Engineering, Columbia University, Manhattan, NY, USA Session 5: Interdisciplinary programs, sustainability and alternative energy as related to engineering educationAbstract: The continuing depletion of non-renewable fuels has prompted the search for alternativesources of energy. Biomass is waste derived from previously living
extraction algorithms. Disciplines such asengineering, where series are ubiquitous, will then be on a level playing field when itcomes to search and retrieval of technical information.Bibliography 1. Coyle, K. (2006). Mass Digitization of Books. Journal of Academic Librarianship, 32 (6): p. 643. 2. Coyle, K. (2006). Mass Digitization of Books. Journal of Academic Librarianship, 32 (6): p. 644. 3. Kimball, R., Weimer, K. H., & Surratt, B. (2005). Digitizing the series Geologic Atlas of the United States (1894-1945); access and preservation of older geological literature using an institutional repository. Proceedings of the Geoscience Information Society, 36: p. 109. Results of
OrganizationalDevelopment Network of Thailand Higher Education (ThaiPOD).Bibliography1. D. Lavansiri, and S. Koontanakulvong, Use of CUQA in Quality Assurance System of Faculty of Engineering, Chulalongkorn University, Proceeding of the 4th ASEE/AaeE Global Colloquium on Engineering Education, Sydney, 26-29 September 2005.2. A. C. Cleland and B. J. Wakelin, Graduate Profiles for Washington Accord degrees; Broad Principles and the Design Component. Engineering Design in Engineering Education: JABEE Symposium/Workshop, Tokyo, Japan, December 2004.3. Canadian Council of Professional Engineers (CCPE), Task Force Report on the Future of Engineering Education, July 1988.4. Commission on Engineering and Technical Systems (CETS), Engineering Employment
Page 15.413.1three full time faculty as well as two long time part-time faculty who had been teaching coursesrelated to design, including the 286A/B sequence. The committee’s charge from the DepartmentChair was to create a new design stem of courses to support our program’s learning outcomes,without being constrained by the format of the existing course sequence. The committee was touse the Conceive-Design-Implement-Operate (CDIO) framework as a template for this review.CSUN has been a CDIO collaborator since 2005, and has adapted the CDIO syllabus2 to theneeds of our student population, which is characterized by significant racial and ethnic diversity,as well as large variances in academic preparation3. The application of CDIO principles to
)building relationships with the business community; and (5) showcasing success.” p. 34.Standish-Kuon and Rice chose not to distinguish the models by whether the content countedtowards a degree. They found three models, with the most significant discriminator being thelocation within the university: (a) the business school, (b) the engineering school, or (c)collaboration between the two.Streeter and Jaquette3 looked at the spread of entrepreneurship education beyond business andengineering, dividing all approaches into two types: “If the program is intended to infuse theinstitution with entrepreneurship education, we call it a university-wide program. Next, weexamine the location of the faculty and teachers to determine if it is a magnet or a
the entire class. This course supports the achievementof the following outcomes: a) an appropriate mastery of the knowledge, techniques, skills andmodern tools of their disciplines; and b) an ability to apply current knowledge and adapt toemerging applications of mathematics, science, engineering and technology. For course topicaloutline, see Table 1.Table 1: Topical Outline Week Topic 1 Introduction, Conventional Energy Provision Systems; Review Basic Electric and Magnetic Circuits; 2 Fundamental of Electric Power; Power System Components 3 Basic of Renewable Energy Supply; Passive Utilization of Solar Energy 4 Distributed Generation 5 Wind Energy Conversion
of mass flow rate, heat input as well as pressure andtemperature at various locations. A corresponding CFD simulation for this experiment was Page 15.1065.6introduced into the lab in 2003 so that students could see the experimental and CFD approachesside-by-side. FlowLab was the CFD software used until 2009 when it was replaced withFLUENT 12 which is integrated into the ANSYS Workbench interface. Figure 1: Schematic representation of the heated flow apparatus. A, B, C, and D are pressure taps; labels 1-10 are locations of thermocouples.This is the first CFD experience for most students. FlowLab was originally used
. Carlin, “A six year longitudinal study of undergraduate women in engineering and science,” Journal ofEngineering Education, 1998, 87: 369-376.11 Hawks, B. K., J. Z. Spade (1998). Women and men engineering students: Anticipation of family and work roles. Journal ofEngineering Education, 87(3), 249-256, July 1998.12 Hackett, G., N.E. Betz, J.M. Casas, and I.A. Rocha-Singh, "Gender, ethnicity, and social cognitive factors predicting theacademic achievement of students in engineering," Journal of Counseling Psychology, 1992, 39: 527-538.13 Marra, R. M., Rodgers, K. A., Shen, D., & Bogue, B. (2009, January). Women Engineering Students and Self-Efficacy: AMulti-Year, Multi-Institutional Study of Women Engineering Student Self-Efficacy
Page 15.217.3its home position to a scale-model refrigerator, pick up a plate of food from a shelf, navigate tothe table where a person with mobility impairment is sitting, places the plate on it, and return tothe home position. Robots must avoid collisions with obstacles—a sink, a chair, and a second,elderly person—whose positions are not precisely known (Figures 1, A and B). A beacon,consisting of three bright red light-emitting diodes (LEDs) mounted on edge of the shelf,indicates the location of the plate. The plate is a plastic pet food can top filled with Cheerios.The scoring formula weighs reliability first (the top group consists of robots that succeed on allthree runs) and uses time as a differentiator within each reliability group.Ten
EngE1024Core Concept LabVIEW(LV) topic covered Activity/HomeworkA Introduction to LV programming Watching LabVIEW video that environment, VIs introduces the programming environment and dataflow programming using a small program. Completing LabVIEW tutorial (finding the roots a quadratic equation)B Controls and Indicators, Data Calculating grade from grade types components Observing dataflow by execution
timing plan will bethe basis for Scenario IV-(b).Scenario IV-(b) will strive to have longer, more realistic intervals to increase the intersection’sperformance. MOE’s for this scenario will once again be tabulated. It is anticipated that in thiscase the intersection will be operating rather optimally. To create another scenario there will bea shift in volumes, e.g. twice the volume E-W than N-S, while maintaining the same signaltiming plan - this will be Scenario IV-(c).At the end of all the scenarios, the MOEs from each will be compared to provide both aqualitative and quantitative measure of how different means of controlling an intersectionperform. The instructors will emphasize the use of a traffic signal, and provide the take-homemessage
State University and a Professor in the Materials Science and Engineering Department. Dr. Callahan received her Ph.D. in Materials Science, her M.S. in Metallurgy and her B.S. in Chemical Engineering from the University of Connecticut. Her educational research interests include freshmen engineering programs, math success, K-12 STEM curriculum and accreditation, and retention and recruitment of STEM majors. She is an ABET program evaluator for ceramic engineering, chemical engineering and materials science and engineering programs.Cheryl Schrader, Boise State University Cheryl B. Schrader is Dean of the College of Engineering and Professor of Electrical and Computer Engineering at Boise
.7Research questions (provided here in Appendices A, B and C) were both formative andsummative. To document successes and challenges in the implementation of the program, afterthe first summer session external evaluators conducted telephone interviews with six staffmembers and conducted a discussion group with the 13 participating teen interns. Thesequalitative data were gathered for the purpose of guiding the further development and refinementof the TYR program. As part of the ongoing evaluation, teen interns continue to be asked forsuggestions for improvements to the program.The primary outcomes for teen interns are gains in their radio production and communicationskills (for example, in sound gathering and editing, script writing, and
Education Annual Conference, Portland, Oregon, June 2005, CD-ROM, 16 pages. http://soa.asee.org/paper/conference/paper- view.cfm?id=2156111. Anderson-Rowland, M.R., Vanis, M., Zerby, D., Banks, D., and Matar, B., “METS Pilot Program: A Community College/University Collaboration to Recruit Underrepresented Minority Students into Engineering,” Proceedings of the American Society for Engineering Education Annual Conference, Salt Lake City, Utah, June 2004, CD-ROM, 9 pages. http://soa.asee.org/paper/conference/paper-view.cfm?id=2017212. Anderson-Rowland, M.R., Banks, D.L., Vanis, M.I., Matar, B., Chain, E., and Zerby, D.M., “METS: A Collaboration to Assist Student Transitioning into Engineering from the Community