• Specify RE system based on stated energy supply requirements• Describe characteristics of energy storage systems• Specify battery charging systems• Explain the operation of grid-tie RE systems• Analyze and give examples of RE case studies• Demonstrate competence in RE system design/operation in lab Page 22.1239.8Table 3 Laboratory Exercises for Elex 121 Renewable Energy Systems• Lab 1 Generation of DC and AC Voltage and Inverters Students see demonstrations of cranked and inverter AC generation. They use a 555 timer, two power transistors, and a transformer to light a neon bulb from a DC supply.• Lab 2 Photovoltaic Solar Energy
laboratory dealing with theissues and testbed development of micro renewable energy systems. In a second iteration of thiscourse, a graduate component was set up, where students would venture into advanced concepts.Papers on retail power beaming were developed by the graduate students in this course. The firstpaper studied policy issues related to retail power beaming, while a second dealt witharchitecture options and costs. The third paper in this series has shown that the optimalarchitecture will probably be one where stratospheric buoyant platforms will serve to capture anddistribute power coming from terrestrial plants either directly or via space satellites. This optionreduces the receiving antenna size needed at the ground to dimensions
author has developed a two-credit senior/graduate level course for mechanical engineeringstudents covering topics in computer aided design and geometric modeling. As stated in thesyllabus, the course is not intended as a CAD training course, but includes learning themathematical foundations for creating complex geometric objects, investigating how thegeometric database may affect analytical or manufacturing applications, and learning howgeometric objects are manipulated in typical CAD systems. The course is structured with two 2-hour lectures/week for seven weeks; there is no laboratory component.The project-based course attracts full- and part-time graduate and undergraduate students withdiverse academic and CAD backgrounds, and therefore the
projects stepthe students through an engineering design process from concept through prototype. A keyelement in each of these projects is a surprise specification change half way through the process.Invariably these specification changes require at least a modification to the design, if not acomplete redesign. These changes are in place to make the projects mirror real life projectswhich almost always involve design changes along the way.Engineering technology students take many courses containing laboratory components. Studentsneed to be prepared to deal with the data collection and presentation challenges that many ofthese labs involve. Project 4 involves some mildly challenging data collection and data reportingdesigned to help students get a
entrepreneurial mindset. The EIP component of the Kern grant allows LawrenceTech the opportunity to develop an entrepreneurial internship program that gives studentsexposure to entrepreneurs and the businesses they have created.Entrepreneurial Mindset: Our Experience Page 22.1235.3Entrepreneurial curriculums now include experiential learning as an integral part of exposing thestudent to the entrepreneurial mindset. At Lawrence Tech, we have created an entrepreneurialcurriculum that integrates experiential learning in our senior projects, community outreachprograms, plant tours, E-Teams and laboratory environments. Our students participate inactivities that
develop more advanced implementations including dual tone multi-frequency(DTMF) tone generation using IIR filters, FIR filter using the circular buffering, and samplingrate conversions.III. Student Evaluation and ImprovementUpon completion of the DSP course as well as its laboratory experiments, a survey wasconducted to ask each student to evaluate his/her achievement using the 68HC12 microcontrolleras a learning tool. Table 1 shows the survey results. Note that the rating scale was based on thepercentage of the overall students. Table 1. Student survey for their achievements. Rating scale Understanding Tools Excitement of digital filter
Design Final Test-Remaining 8 teamsConclusionsFeasibility of conducting an optimization of a pump and piping system with two branches hasbeen demonstrated. Juniors in a mechanical systems laboratory class were able, in teams of four,to develop an analytical model, conduct experiments, and commission their design. The exerciseintegrates subjects from fluids (e.g. frictional pressure drop, pump curves, parallel circuits),technical writing, and engineering economics.For the pipe system presented here the optimum pipe diameters were 1.6 and 1.2 centimeters forthe upper and lower branches respectively. The balance between the initial costs of the pipingand the operating and initial costs of the pump produces a minimum total cost of $1,263 at
speaking skills, asurvey was given to a class of 47 undergraduate chemical engineering seniors. The survey askedstudents to rate their public speaking abilities at various points throughout their college years:before freshman year, after freshman year, and during senior year (now). Coursework andextracurricular activities were also explicitly asked to understand their effects on students overtime. A sample survey can be found in Appendix I.It should be noted that these chemical engineering students average two to three classpresentations per semester after the freshman year. One presentation is required for the chemicalengineering laboratory practicum to discuss the results of their lab. Typically, these chemicalengineering students also had a
support personnel); physical resources (classrooms, library, laboratory, and workshops); material resources (teaching material, audiovisual materials and others) financial materials (operational allowances, scholarships, training grants and others); and the political and social context (democracy versus dictatorship, peace versus war).A process circle in Figure 2 tries to make full use of all the resources available whileimplementing teaching process and procedure. The enhanced model forces this process toeliminate any possible confusion in knowledge transfer, creating more chances to acquireadditional knowledge, and store digested knowledge permanently in long term memory.This new repetitive learning model is specifically
the five school systems that surround the Naval SurfaceWarfare Center in Dahlgren, VA (NSWCDD)— the public school systems of Caroline, KingGeorge, Spotsylvania, and Stafford counties and the city of Fredericksburg—plus the publicschool systems of Accomack county and the city of Portsmouth. In recent years the programhas grown beyond these seven systems to include school systems located at the Naval SeaWarfare Centers in Dam Neck, VA, Indian Head, MD, and Philadelphia, PA. In addition, thereare elements of the VDP at the Space and Naval Warfare Systems Command in Charleston, SC,and at the Air Force Research Laboratory Information Directorate in Rome, NY. From itsinception, the VDP has featured significant involvement by Navy S&Es who serve
development and humancomputer interaction research.Alice Merner Agogino, University of California, Berkeley Alice M. Agogino is the Roscoe and Elizabeth Hughes Professor of Mechanical Engineering and affli- ated faculty at the Haas School of Business in their Operations and Information Technology Management Group. She directs the Berkeley Expert Systems Technology /Berkeley Energy and Sustainable Technolo- gies (BEST) Laboratories, the Berkeley Instructional Technology Studio (BITS) and is working to develop a Service Learning Media Lab and Design/Prototyping Studio in the new CITRIS building. She served as Chair of the Berkeley Division of the Academic Senate in 2005-06, having served as Vice Chair during the 2004-05
challenge and encourage learning in today’s effective teaching programs.“Differentiated instruction, often referred to as universal design, is a teaching and learningstyle that is the result of neuroscience research on how the human brain processes and retainsnew information”. 1Introduction“Acknowledging that students learn at different speeds and that they differ in their ability tothink abstractly or understand complex ideas is like acknowledging that students at any givenage aren’t all the same height: It is not a statement of worth, but of reality”.2 In adifferentiated classroom and laboratory, the teacher proactively plans and carries out variedapproaches to content, process, and product in anticipation and response to student differencesin
approach. Test results show not much significantdifference between the experimental group and control group.ConclusionsAccording to the survey, after experiencing with the alternative learning method, morestudents were able to accept this pedagogy instead of the traditional approach (i.e., face-to-face instruction). Moreover, the test results illustrate that there is no significantdifference between the control and experimental groups. The findings from theaforementioned analysis provide an indication of how to effectively study the online bio-manufacturing laboratory problem in our future investigation.AcknowledgementThis work was supported by the US National Science Foundation (CCLI Phase I DUE-0737539) and the US Dept. of Education (Award
. Basic and Applied Social Psychology, 30, 208-218.11. Spade, J. Z., Columba, L., & Vanfossen, B. E. (2007). Tracking in mathematics and science: Courses and course selection procedures. In J. H. Ballantine & J. Z. Spade, Eds. In Schools and society: A sociological approach to education, (3rd ed.), pp. 286-297. Thousand Oaks, CA: Sage.12. Larimore, J.A., & McClellan, G.S. (2005). Native American student retention in U.S. postsecondary education. New Directions for Student Services, 109, 17-32.13. Nelson-Barber, S., & Estrin, E.T., (1995). Culturally responsive mathematics and science education for Native American students. San Francisco, CA: Far West Laboratory for Educational Research and Development.14. Jacobs, J
manufacturing processes, 2) process, assembly and productengineering, 3) manufacturing systems design, 4) laboratory experience, and 5) manufacturingcompetitiveness. Manufacturing competitiveness requires understanding the creation ofcompetitive advantage through manufacturing planning, strategy and control. While the firstfour requirements are primarily about things, the competitiveness requirement is all aboutpeople. To fulfill this requirement, students need to understand and exercise leadership. Wemanage things, but we lead people.Manufacturing planning, strategy and control are elements of management, but leadership goesfar beyond this. Thinking of these requirements in terms of just management is of another era; asan old saying goes, it is
persons, five members of the NSF project team plus one graduate student, oneinstructor and one laboratory staff development person engaged with first-year engineeringcourses at Ohio State, then contributed ratings for each of the 66 items in the context ofapplicability to a minor or course as either an educational objective or a program outcome usingthe draft definitions of those two terms. Each item was rated on a 1 to 4 scale as: 1-Notapplicable, 2-Secondary impact, 3-Consider in Modified Form, 4-Should be included.Comments space was available for each item. Suggested edits for the definitions were alsosolicited. After review of the consolidated responses, it was decided to work further with thoseitems that ranked above the median for
.," Laptops in psychology: Conducting flexible in-class research and writing laboratories", New directions for teaching and learning Vol. 2005, No. 101, 2005, pp. 15-26.16 Fitch, J.," Student feedback in the college classroom: A technology solution", Educational Technology Research and Development Vol. 52, No. 1, 2004, pp. 71-77.17 Mazur, E., Peer Instruction: a user’s manual, Englewood Cliffs, NJ: Prentice Hall, 1997.18 Crouch, C.H., and E. Mazur," Peer Instruction: Ten years of experience and results", A merican Journal of Physics Vol. 69, 2001, pp. 970-977.19 Hake, R.R., "Design-Based Research in Physics Education Research: A Review", Handbook of Design Research Methods in Mathematics, Science, and Technology Education: Erlbaum
assess science understanding, engineering and designunderstanding, identify STEM attitudes, engineering self-efficacy, and student assessment ofteacher effectiveness. This was accomplished through an online survey format. The STEMcoordinator was sent a survey link for the students, the STEM coordinator prepared eachcomputer in the school laboratory (accessed the link on each computer), students completed theassessments and surveys, the students clicked “submit” and the results were made accessible tothe researchers in coded format. The pre-assessment of the Understanding Engineering Designinstrument was administered January 20, 2010, and the post-assessment was administered April14, 2010. The pre-assessment of the Understanding of Science
to functionglobally. This is especially true for engineers. Working individually or in small groups within acorporation is not how engineering is conducted in the 21st century. From design, to prototypingto production requires many of today’s engineers to work across the continent or around theglobe. “Cultural diversity is a fact of professional life. Engineers are being employed in ever greater numbers by multinational and transnational corporations and are routinely working across national and cultural boundaries. Engineering projects may take them, for varying periods of time, out into the field--which might be any corner of the globe--or into design workshops, laboratories or head offices which may also be
the subject, the projects that theyare working on in school and their goals and aspirations after graduation. The video alsohighlights the importance of teamwork throughout the design process and the need to worktogether and collaborate to have a successful design. The goal of this video is to give thestudents an idea of what engineers are like, the opportunities that are available for engineers andhow each student can prepare to become an engineer. The second video entitled "The InvisibleMedical Team" introduces the students to the field of medical laboratory scientist. Medicallaboratory scientists do much of the background research and perform tests to diagnose patientsthat the doctors then use to design a treatment for the patient. This
Communications (1979) (High Honors), Post- graduate Diploma in Electronics and Communications (1981) (High Honors) and M.Sc. in Microwave Communication Systems (1983) (High Honors) from the University of Mosul, Mosul, Iraq. From May 1983 to October 1987 he was working with the Electromagnetic Wave Propagation Department, Space and Astronomy Research Center, Scientific Research Council, Baghdad, Iraq. On December, 1987, he joined the Radiating Systems Research Laboratory, Electrical and Computer Engineering Department, University of New Brunswick, Fredericton, NB, Canada where he obtained his Ph.D. (1992) in Computa- tional Electromagnetics, Wireless Communications, and the Global Positioning System. For his various
, students, industrial representatives, and researchersthat are open to new ideas. Without the willingness of these people these technologies could not be widely implemented. Technical ability or availability of technical support is essential to the operation. The need of a well-organized plan to include all course outlines, objectives, outcomes and evaluation pieces required for a course, but in a different setting. Transferable course development needed from one institution to another. Coordination of different time-zones, institution schedules and different student-bodies. Laboratory and research type courses might need special technology and different class setting. Funding transfers between educational entities
problem' infuture iterations of the methodology. Additionally, we may consider evaluating our intuition thatthe method will save time, compared to a control who is not applying the methodology. Ourhypothesis is that there will be a breaking point, that is for projects with a longer time scale, themethod will be most effective.Acknowledgements This work is supported in part by a grant from the Air Force Research Laboratories(AFRL/RW at Eglin AFB, FL, ARFL/RB at Wright Patterson AFB, OH and AFRL/RX atTyndall AFB, FL) and, in part, by The University of Texas at Austin Cockrell School ofEngineering and the Cullen Trust Endowed Professorship in Engineering No. 1. In addition, weacknowledge the support of the Department of Engineering Mechanics
] Komerath, N.M., "Flow Imaging and Control Laboratory: An Experiment in IterativeLearning". Journal of Engineering Education, 1994, Vol. 1, p. 737-743.[6] Komerath, N.M., "Progress Towards Iterative Learning". Annual Conference Proceedings ofthe American Society of Engineering Education, Session 3536, paper No. 2, June 1995[7] Smith, M.J., Komerath, N.M., Aerospace Engineering: Integrator for Cross-DisciplinaryLearning”. Proceedings of the ASEE Annual Conference, Albuquerque, NM, June 2001.[8] Komerath, N.M., Smith, M.J., “Integrated Knowledge Resources for Cross-DisciplinaryLearning”. Session D-7, Proceedings of ICEE 2001, the International Conference on EngineeringEducation, Trondheim, Norway, August 2001. International Network on Engineering
Contribution Award as well as the ”Excellence in the Use of Technology ” (research) at EIU. His publications include: ”Ethical and Social Consequences of Biometric Technologies in the USA”, ”Technology in Central America and the Impact on CAFTA” and ”Design of an Industrial Control Laboratory” amongst others. Dr. Chinchilla has been awarded numerous grants and serves in numerous departmental and university committees at Eastern Illinois University.Mr. Harold Jay Harris, Eastern Illinois University School of Technology Page 22.697.1 c American Society for Engineering Education, 2011
- search Laboratory in the Navy Center for Applied Research in Artificial Intelligence in Washington, D.C. and as a software developer for Imaging Science Research, Inc., Burke, VA. His research interests are in the area of human-computer interaction, knowledge modeling, and educational technology. Dr. Castles is a member of the ASEE and the IEEE.Heather L. Ries, East Carolina University Heather L. Ries is an Associate Professor in the Department of Mathematics and an Associate Dean in the College of Arts and Sciences at East Carolina University. Dr. Ries received a BA degree in Mathematics and History from Bates College. She received MA and PhD degrees in Mathematics from the State University of New York at Binghamton
program wascomplete. Mentions of different topics are indicated in Table 2. Students mentioned multipletopics, and 2 students indicated “all.” The results were not overly surprising to us, given theactivities for the particular concepts. The green buildings topic, for example, involves a tour ofon-campus LEED-certified buildings and construction projects, including the IntelligentWorkplace a living laboratory of current green building design research in the Department ofArchitecture. Student responses specifically mention the tour and recall visiting one or two ofthe spaces. Life cycle thinking involves an activity where students are introduced to the idea ofsupply chains and the material and energy resources consumed for a common product. This
implicit stereotype of science as male (weak stereotyping among the women but strong among the men), even though they are both equally aware of the cultural stereotype. A key ongoing focus of his research is on the causal role that such varying implicit associations may play in shap- ing identities and contributing to perseverance in scientific studies and careers. Fred’s publication topics have included comparisons of web- and laboratory-based implicit cognition experiments, the relationship between implicit and explicit attitude measures, ethnic and gender differences in science graduation at selective colleges, and standardized testing in college admission.William H Guilford, University of Virginia Will Guilford is
development of a professional identity: engineering persisters vs engineering switchers. ASEE/IEEE Frontiers in Education Conference. October 18 – 21: San Antonio, TX.Radharamanan R., and H. E. Jenkins (2008). Laboratory Learning Modules On Cad/Cam And Page 22.240.10 Robotics In Engineering Education. International Journal of Innovative Computing, Information and Control ICIC International 4(2): 433-443.Reese, D. and R. Green (2008). A Pre-Engineering Class To Retain Students Into An Engineering Major, American Society for Engineering Education Annual Conference and Exposition: June 22-25: Pittsburgh, PARobson, V., V. Lohani
programs and undertakes engineering education reformboth challenges and opportunities arise. One of the most important questions is how does theKern Family Foundation (KFF) and KEEN assess and measure the impact of investments madein engineering education reform?This question is most challenging because the vast majority of the skills, values and behaviorsassociated with an entrepreneurial mindset are new domain to engineering educators, and rootedin the social sciences. Terms like “acumen”, “awareness” and “values” involve human behaviorwithin environmental and cultural contexts unlike a controlled laboratory or “bench setting”.Moreover, EMEs combine their passion for science with an aptitude and capacity to develop andapply so called “soft