Email: Ioannis Raptis@uml.edu Email: Jack Price@student.uml.edu Abstract—Multi-robot teams with many members can be very to map new environments [6]. The iRobot Create was useddemanding in terms of both monetary and spatial resources, to exhibit the usefulness of even a robot with very fewmajor limitations in both laboratory and classroom settings. A sensors in certain swarm scenarios [7]. Scribbler representsreduction in both the size and cost of robots that remain capableof testing a myriad of algorithms allows for much more research a versatile robot for educational purposes with an accessibleand education in the field of swarm robotics. The developed
base for full-scale application.Big Data Insight Group • For example, proving and progressing intelligent electro-mechanical design and manufacturing capabilities from laboratory to prototype factory environments would improve production efficiencies and costs. • Focus is the smart and comprehensive use of the ‘digital thread’ throughout design, production and support. Apriso Designing, Building and Growing the NNMI 5) NNMI Next Steps 15
laboratories Discipline-based structure with cross-disciplinary mechanisms Uses “rotators” or IPAs primarily from universities FY2013 budget of $5.6 billion for Research and Related Activities (R&RA) – FY2014 Budget Request for R&RA at $6.2 billion ($7.626 Billion Operating Plan Request). 8.4% over FY2012 enacted level. National Science Foundation Office of Cyberinfrastructure Office of Diversity & National Science Director Inclusion Board (NSB
the context of use.22 Leonardand Rayport22 describe the data that can be collected by observing the users utilizing the product/service in their own environment and not in a laboratory. Useful information can be gatheredabout intangible attributes of the product and unarticulated user needs by observing the user andthe customization done by her/ him.22 Many such scenarios for empathic design have beendescribed by Leonard and Rayport22 and are discussed in the paragraphs below. When thedesigner/engineer is observing the user’s interactions with the product, they can identifyintangible attributes of the product that affect the user’s interaction or choice, but may not beexplicitly mentioned by the user in a survey or focus group.The steps in an
Clemson University. Dr. Caldwell is a member of ASME and Pi Tau Sigma.Dr. Colleen M Halupa, LeTourneau University Dr. Colleen Halupa is currently the Director of Curriculum Design and Technology at LeTourneau Uni- versity. She has an A.S. in medical laboratory technology, a B.S. in healthcare management, an M.S. in health administration, and an Ed.D. in curriculum and instruction with a concentration in educational lead- ership, and management. Prior to her career in academia, Dr. Halupa was a biomedical sciences officer in the United States Air Force. Prior to her retirement from the military, she held varying positions in health administration and education and served as the program director for all of the Air Force
Science Resources Center. (1997). Science for all children: A guide to improving elementary science education in your school district. Washington, DC: National Sciences Resource Center, Smithsonian Institution.NSTA, National Science Teachers Association. (2010). Exemplary Science for Resolving Societal Challenges. Retrieved from http://nsta.org/Weiman, C. (2011). Keynote address at the NSF Course, Curriculum, and Laboratory Improvement (CCLI) meeting. Washington, DC. Page 24.242.5
Paper ID #10496Creating Research Opportunities with Robotics across the UndergraduateSTEM CurriculaDr. Janusz Zalewski, Florida Gulf Coast University Janusz Zalewski, Ph.D., is a professor of computer science and software engineering at Florida Gulf Coast University. Prior to an academic appointment, he worked for various nuclear research institutions, including the Data Acquisition Group of Superconducting Super Collider and Computer Safety and Re- liability Center at Lawrence Livermore National Laboratory. He also worked on projects and consulted for a number of private companies, including Lockheed Martin, Harris, and
Paper ID #10426Design Projects to Quantify the Health and Development of Autistic ChildrenDr. Steve Warren, Kansas State University Steve Warren received a B.S. and M.S. in Electrical Engineering from Kansas State University in 1989 and 1991, respectively, followed by a Ph.D. in Electrical Engineering from The University of Texas at Austin in 1994. Dr. Warren is an Associate Professor in the Department of Electrical & Computer Engineering at Kansas State University. Prior to joining KSU in August 1999, Dr. Warren was a Principal Member of the Technical Staff at Sandia National Laboratories in Albuquerque, NM. He
Program is to immerse undergraduates in biomedicalengineering laboratories to conduct cutting-edge diabetes research in an effort to influence theirlong-term interests in science and engineering. The goal of the Summer Program is to bringapproximately 100 diverse, high-achieving, urban rising juniors and seniors to a college campusto learn a variety of STEM-oriented programming, in an effort to influence their long-terminterests in STEM fields and education. The objective of the partnership between the REU Program and the Summer Programfocuses on developing tier-mentorship experiences for both groups. A separate facet of the REUProgram includes mentorship from graduate students who actively contribute to the developmentof the
understand cultural differences in communicationregarding such things as status, formality, saving face, directness, the meaning of “yes”, non-verbal cues, etc.6Moreover, the engagement of partner universities (e.g. in Latin America) and study abroadprograms, will expose our engineering students to other countries’ economic, environmental andsocietal contexts and encourage them to develop appropriate and contextual solutions to localproblems given existing constrains.II.c. Student Outcome ( d ): an ability to function on multi-disciplinary teamsThe students in the ECE program have several stand-alone required laboratory courses EENG275, 315, 360, and 403, Electronics Laboratories I, II, III, IV respectively in which they work inteams to complete the
technology fields, and a preference for learning from hands-onactivities, students are beginning their university studies with little to no practical experience indesign or manufacturing processes. Much of the technical experience they do have is fromcompleting virtual labs and other computer-based instruction in high school which does notalways translate into useful abilities in a university laboratory environment with physicalequipment. These virtual activities do not provide realistic practical experience and they do littleto improve spatial skills. Students beginning their engineering and technology studies with poorspatial skills have lower levels of academic success at university. The use of haptic activities hasbeen shown as a necessary
content, credit transfer, and accreditation concerns are understood by all members, streamlining communication about curricular issues. As members of a strong collaborative community that meets regularly to establish personal ties among members, institutions are more likely to be helpful with special needs, e.g., facilitating access to internships in faculty research laboratories or in local companies.3. Guidance and Support. Exchange of a flexible number of students with a wide range of partner institutions who provide personalized guidance and support to exchange participants. The ability to provide both guidance and support is a necessary member requirement.4. Institutional Visibility. Increased visibility for engineering programs
into an electrical signal that can be acquired andanalyzed.To address these issues, the School of Electrical and Computer Engineering at our University hasdeveloped a laboratory-based course that provides an experiential learning opportunity forengineering students. The course, called Measurement and Automation, is cross-listed as asenior-level undergraduate course, and a graduate course. The course is oriented aroundindividual workstations using National Instruments USB-6211 data acquisition devices and theLabVIEW programming environment. Each project during the semester incorporates industry-standard sensors to produce the subject data streams, providing signals rich with both signal-of-interest and noise. The course consists of a mixture of
Paper ID #10224NSF-NUE: Using Nanotechnology to Engage Students from High School throughGraduate SchoolDr. Raquel Perez Castillejos, New Jersey Institute of Technology Dr. Raquel Perez-Castillejos is an assistant professor of Biomedical Engineering at the New Jersey Insti- tute of Technology (NJIT). Her research (www.tissuemodels.net) focuses on the development of tools for cell and tissue biology using micro- and nanotechnologies. Raquel obtained her Ph.D. with the National Center of Microelectronics in Barcelona. She was a postdoctoral fellow at the Laboratory of Miniaturized Systems (Univ. S˜ao Paulo, Brasil) and later
obtained his MS and Ph.D. in Electrical Engineering from GA Tech in 1982, and 1988 respectively. He joined the Electrical and Computer Engineering department at the University of New Mexico where he is cur- rently professor and since 2011, the provost & EVP for academic affairs. Professor Abdallah conducts Page 24.954.1 research and teaches courses in the general area of systems theory with focus on control and communica- tions systems. His research has been funded by national funding agencies, national laboratories, and by various companies. He has also been active in designing and implementing various
received his M.S. degree in Decision Sciences at University of Wisconsin-Madison and his Ph.D. degree in Industrial Engineering at University of Iowa. His research focuses on the computational intelligence, data mining, bio- informatics and advanced manufacturing. Dr. Tseng published in many refereed journals such as IEEE Transactions, IIE Transaction, Journal of Manufacturing Systems and others. He has been serving as a principle investigator of many research projects, funded by NSF, NASA, DoEd, and KSEF. He is currently serving as an editor of Journal of Computer Standards & Interfaces.Mr. M. Eric Carr, Drexel University Mr. Eric Carr is a full-time Laboratory Manager and part-time adjunct instructor with Drexel
mostly lectureand laboratory based (Grayson, 1993). Engineers learn and exercise their theories and practiceswithin particular social settings - within classrooms, within a laboratory, and during the designreview (Bucciarelli, 2001 , p. 298). In this study we consider the studio environment as a socialclassroom setting (where some laboratory facilities are within the students reach) and wherestudents are engage in the process of design. IStudio Model Page 24.1113.2 A slightly different teaching and learning model in technical education is the “studio model”(Little & Cardenas, 2001). According to Kuhn (2001), Little and Cardenas (2001
release devices and improving the efficiency of existingwebMathematica®. products. Index Terms— controlled release, iontophoresis, membrane, A set of dynamic educational modules (Laboratory Online:webMathematica http://laurentsimon.com/softwaretools.htm), were designed to accept user data and to generate graphics. The website contains several remote-access, web-based learning modules. I. INTRODUCTION
competitive advantage through manufacturing planning, strategy, quality, and control; (d) manufacturing systems design: ability to analyze, synthesize, and control manufacturing operations using statistical methods; and (e) manufacturing laboratory or facility experience: ability to measure manufacturing process variables and develop technical inferences about the process.The Four Pillars of Manufacturing Engineering ModelThe Four Pillars of Manufacturing Engineering model4 represents a professional perspective onthe outcomes from a manufacturing program11. These group curricular areas by industry needs,as seen in Figure 1. Each of the four pillars represents a major area for
, interesting assignments, and applying the material to the real world make a courseengaging.” (1) Another study found that student participation in laboratory or demonstrationexercises in conjunction with a lecture produces a more positive learning outcome. (2)Application and demonstration are two key tools of an educator and will be explained further inthis paper so students will be able to comprehend the abstract ideas of irreversibility and Carnotefficiency. This paper ties the theoretical Carnot efficiency to the applications to which it isrelated.One of the more challenging concepts for students is the irreversibility of heat transfer through afinite temperature difference. It is easier to understand the irreversibility of other processes suchas
University. He earned his PhD from UC Berkeley in 2004, and he previously worked as a staff engineer at Lawrence Livermore National Laboratory.Dr. Gerard F. Jones, Villanova University Following a several year period as a project engineer for Mobil Oil Corporation in Paulsboro, New Jersey, Jerry Jones joined the University of Pennsylvania, receiving his MS in 1975 and PhD in 1981. Jones was a technical staff member with Los Alamos National Laboratory (LANL) in New Mexico until 1987. His research activities included experiments, analysis, and simulations on thermal systems, including solar and geothermal energy conversion. He consulted with LANL on a wide array of technical topics from 1990 until 2006. Jones joined the
significant component of the hands-on lab exercises as listed below.4.2 List of Laboratory ExercisesThe following laboratory exercises and activities were conducted throughout the term: Metal riveting hammer – traditional workshop – sawing, milling, turning, facing, drilling, tapping, grinding, assembly, finishing Auto CAD/ SolidWorks – free-form design Rapid prototyping – fused deposition modeling Injection molding - demonstration and some operation of the machine –plastic rulers Powder metallurgy – aluminum and stainless steel powders – cold isostatic pressing Several manufacturing technology videos produced by SME, History channel Metrology – calipers, micrometers, go – no-go gages, tolerances 3D CMM – Co
Laboratories and employment with Koch Industries. Dr. Bachnak is a registered Professional Engineer in the State of Texas, a senior member of IEEE and ISA, and a member of ASEE.Miss Sof´ıa Carolina Maldonado, Texas A&M International University Sof´ıa Carolina Maldonado is a graduate student at Texas A&M International University (TAMIU), cur- rently completing a M.S. in Information Systems. She obtained her B.S. degree in Systems Engineering from the same University in Fall 2011. Sof´ıa was a Distinguished Student Scholar and Student Respondent at the Fall 2011 Commencement Ceremony. Throughout her TAMIU education, she has been a member of the Phi Kappa Phi Honor Society and Vice-President and Treasurer of the
a hundred international refereed journals. In the aforementioned areas, he has research projects with grant support as principal investigator and collabo- rator from various funding agencies and industry. Among research students whom he supervised, one received two IMechE 2001 Awards for her undergraduate project, and another two received the IMechE Andrew Fraser (Runner-up) Prize for their postgraduate research. YS Wong has played a major or leading role in several collaborative research and teaching programmes: the Summer Design Program, the joint EE-ME Mechatronics (M.Sc.) course, the Architecture-Business-Engineering Industrial Design (B.A.) course, the Laboratory for Concurrent Engineering and Logistics, the
Technology Scholarship awarded to a Venezuelan by the U.S. Department of State. His advisor is Dr. Ayanna M. Howard, director of the Human-Automation Systems Laboratory. Greg is member of the Institute of Electrical and Electronic Engineers (IEEE) and the American Institute of Aeronautics and Astronautics (AIAA). He has served as referee for IEEE Transactions on Fuzzy Systems, the journal of the Faculty of Engineering at the Central University of Venezuela, and the International Conference on Environmental Systems.Dr. Ayanna M Howard, Georgia Institute of Technology Ayanna Howard is the Motorola Foundation Professor in the School of Electrical and Computer Engineer- ing at the Georgia Institute of Technology. She received
laboratory period. We present the implementation of this activity in our optical engineeringand engineering physics capstone design course; sample activity materials will also be providedand discussed.Students are tasked with designing a widget capable of holding a heavy weight at a minimumheight off a table. Specifications are provided on the maximum widget size and allowablematerials which can be used. The activity is organized as a competition with a goal ofmaximizing profit – revenue earned per widget less the cost per widget (material costs,development costs, labor, and cost of poor quality). Students are allowed to choose their teamsize (there are advantages and disadvantages to both small and large teams) and given time todesign and prototype
University of Wisconsin-Platteville are required to complete a large number of diverse writing assignments. Theycomplete ten laboratory courses, many of which require weekly lab reports. Senior-level coursesare focused on design, and students prepare many technical design reports in these courses; alarge design paper is the final deliverable for the capstone Senior Design course. Moreover,given the undergraduate-only nature of the university, all student writing is assessed by facultymembers. The traditional model for grading student writing is to mark up the writing withcorrections and suggestions for improvements and assign a grade between 0 and 100%.Despite the extensive practice students carry out and despite the frequent, thorough, and well
pedagogy to technology and to the learning styles oftoday’s college student is an additional strategy, which may enhance classroom management.The modern engineering classroom, for example, is changing in format. There is the traditional lecture(possibly accompanied by recitation sections), the flipped classroom where students watch recordedlectures prior to class and engage in active learning during class time,3 and the online classroom wherestudents access course material through the internet and laboratory sessions. In all of these formats,faculty must manage the environment to ensure a supportive learning experience. Faculty come tohigher education wellversed in their subject matter but largely unprepared to successfully confront andmanage
the second author while the first author taught the MET classusing the same text at the third author had used for the MET course in 2008 and 2009 fromwhich data are not available in the same format as presented here.Figure 1 presents the instructor evaluation of the student performance for each of the courseobjectives. The student evaluation was based upon their scores on a mixture of homework,quizzes, laboratory reports, and exams that covered the topic. The mixture of these 4 elementswould change from topic to topic, but similar combinations of the instruments were normallyused from year to year. The average percentage scores on each instrument in a topic wereaveraged and then converted into the 0 – 4 grading scale used at EWU. Key points
Electrical Engineering curriculum is the Electric Circuits course (4semester credit hours). The course covers electric circuit analysis techniques along with certainaspects of circuit design. The course objectives include circuit analysis, design, simulation, anddata gathering and analysis in the laboratory. The analysis-portion of the objectives emphasizesproficiency in the analysis of DC and AC circuits, including operational amplifiers, first-ordertransient analysis, ideal transformers, and balanced three-phase circuits. The design objectives inthe course include design and construction of simple circuits based on given specifications. Thelab component of the course emphasizes competence in the simulation of circuits with PSPICE,safely