AC 2011-1099: USING THE ECOCAR CHALLENGE AS A NON-TRADITIONALDOMAIN FOR SOFTWARE AND COMPUTER ENGINEERING CAPSTONECOURSERichard Stansbury, Embry-Riddle Aeronautical Univ., Daytona Beach Richard S. Stansbury is an assistant professor of computer science and computer engineering at Embry- Riddle Aeronautical University in Daytona Beach, FL. He instructs the capstone senior design course for computer and software engineering. His current research interests include unmanned aircraft, certification issues for unmanned aircraft, mobile robotics, and applied artificial intelligence.Massood Towhidnejad, Embry-Riddle Aeronautical Univ., Daytona Beach Massood Towhidnejad is a tenure full professor of software engineering in the
. Cooper, G. M. and Hausman, R. E. The cell – A Molecular Approach, 3rd edn. ASM Press (2004).8. Bean, T. W., Searles, D., Singer, H. and Cowensource, S. Learning Concepts from Biology Text Through Pictorial Analogies and an Analogical Study Guide. The Journal of Ed. Res, 83(4), 233-237 (1990).9. Edens, K. M., and Potter, E. F. Promoting Conceptual Understanding Through Pictorial Representation. Studies in Art Ed., 42(3), 214-233 (2001).10. Dymond, J .S., Scheifele, L. Z., Richardson, S., Lee, P., Chandrasegaran, S., Bader, J. S. and Boeke, J. D. Teaching Synthetic Biology, Bioinformatics and Engineering to Undergraduates: The Interdisciplinary Build-a- Genome Course. Genetics Ed., 181, 13-21 (2009).11. Guilford, W. H. “Shrink Wrapping
is an important aspect of college experience.5Studies reveal that there is a relationship between absenteeism and student performance incourses.6 The hypothesis that there is a strong relationship between class attendance and studentlearning has been investigated empirically in journals of higher education. It is not surprising thatmost studies have found an inverse relationship between being absent from the class and courseperformance.5, 6, 7,8Studies have been conducted on the inverse relationship between absenteeism and studentperformance in different courses at college level. As long back as in the 1970’s, Jenne9 foundthat attendance played a major role in a health science course. Jones10 reported that there is a
Consequences for the Training ofEngineers.” European Journal of Engineering Education, 31(1), 55-61. 8 Scott, G. and. K.W. Yates. (2002). “Using Successful Graduates to Improve the Quality of UndergraduateEngineering Programmes.” European Journal of Engineering Education, 27(4), 363-378. 9 Martin, R., B. Maytham, J. Case and D. Fraser. (2005). “Engineering Graduates' Perceptions of How Well TheyWere Prepared for Work in Industry.” European Journal of Engineering Education, 30(2), 167-180. 10 Russell, J. S. a. Stouffer., W.B. (2005). Survey of the National Civil Engineering Curriculum. Journal ofProfessional Issues in Engineering Education and Practice, 131(2), 118-128. 11 Russell, J. S., and W.B. Stouffer. (2005). “Survey of the National Civil
hope to integrate the choosing policy of designing around existing patent and thechoosing technology of target patent in an integrated structure as much as possible. Thefurther study will develop and improve the given innovation model structure. Therefore,the integrated theory should be more actual application in enterprises.Bibliography[1] Song, O. M. and Montoya-Weiss, H. M., “Critical Development activities for really new versus incremental products,” Journal of Product Innovation Management, Vol. 15, pp.124-135, 1998.[2] Crawford, “New Product s Management,” 6th ed., P.25, 2000.[3] Betz, F., “Strategy Technology Management,” New York: McGraw-Hill, 1993.[4] Morin, J. and Rafferty, P. J., “The Six Key Functions of Technological Resources
coded for the interviewee’s perceptions through the lenses of the DI and CBAMframeworks.ResultsAlthough all five characteristics were included in the interview methodology, only RelativeAdvantage and Compatibility were consistently important in the participants’ responses to IDeX.Relative advantage was often implied by faculty members’ desire to develop research projectsfrom the designs and ideas developed in IDeX and is illustrated by I3’s response to the questionregarding their reasons for participating in IDeX, “And I also am really interested in, just as aresearch topic, in sustainability, sustainable design, and we really [want] to focus on that…”Compatibility was often implied in the tie between interviewees’ perceptions of the goals
temperature, relative humidity, rain gauge, barometric pressure),photovoltaic data (i.e., AC/DC power, current, voltage, and energy, panel temperature), hot waterdata (i.e., flow rate, in/out temperate, energy), and hydrogen fuel cell data (i.e., in/out power,current and voltage, energy). The project team has recently broadened the data available tostudents by incorporating the following wind turbines into the project: • Bergey 10-kW, Jockey's Ridge State Park, Nags Head, NC-- power: wild AC from turbine, 240V 60Hz AC from inverter; energy: ~1,250 kWh (per month estimated); wind speed: ~6 m/s (based on AWS TrueWind model data) • Bergey 10-kW, the Outer Banks Brewing Station, Kill Devil Hills, NC-- power: wild AC from
with the industry executives and work as an “outside consultant”. Some of the otherbenefits as noted in the survey were as follows: • Formed program structure that kept students on task • Opportunity to visit the University campus, understand the traditions, and tour the campus including the foot ball stadium • Ability to review real world operations and recommend best practices to a real company • The seven S processes that can applied to any other businesses beyond distribution Page 22.1191.7 VII. ConclusionsAlthough the law and business schools worldwide have been using the analysis of real world orpseudo case studies
, Rising above the gathering storm:Energizing and employing America for a brighter economic future. The National Academies Press: Washington,D.C., 2005.2. Silk, E. M.; Schunn, C. D.; Cary, M. S., The impact of an engineering design curriculum on sciencereasoning in an urban setting. Journal of Science Education and Technology 2009, 18, (3), 209-223.3. George, R.; Kaplan, D., A structural model of parent and teacher influences on science attitudes of eighthgraders: Evidence from NELS: 88. Science Education 1998, 82, (1), 93-109.4. Kluin, J.; Cardella, M. E.; Purzer, S., The role of parents in engineering education: Four themesfrom the literature. Journal of Engineering Education 2011, Under review.5. Schrader, P. G.; Lawless, K. A., The
multidisciplinary team.3,5The use of UAVs for senior design projects is not new. The University of Sydney’s recordsindicate they were experimenting with remotely piloted aircraft as far back as 1939.1 By the1990’s, improvement in technology converged making low-cost UAVs possible and UAVprojects grew in popularity with a number of UAV competitions such as the International AerialRobotics Competition which was kicked off in 1991.2 UAVs offer a wide range of possiblecapstone applications. Examples include remote sensing for agricultural crop yield estimationand weed detection;3 coastal surveillance;1 mapping hazards at a disaster site;2 designing UAVplatforms that can transform from fixed wing configuration to vertical take-off and landing(VTOL);4 designing
3 BIOL Electives 6Course Description and Learning outcomesThe following list, details the courses’ content and their expected outcomes. Name & Number: COSC 4315 Advanced Networking Course Description: This course covers the design of networks and their performance. Modern networks such as ATM and Gigabit Ethernet network will also be studied. Other topics that will be studied are cryptology, network programming, and secure channels. Prerequisite(s): COSC 4313, or consent of instructor. Lec 3, Lab. 1, Cr. 3. End-of-Course Outcomes: 1. Understand common barriers to network security and the major issues involved in implementing proper
, week 10.(5) A completed exploded assembly drawing(s) of the project. Page 22.567.9(6) A bill of materials. The BOM should include: a) part name, b) part number, c) description, d) quantity needed, e) material(s) including density and f) any other pertinent information.(7) One improvement you suggest for the product.(8) Other extra credit avenues include: detail views, cutaway views, assembled assembly views, motion, any range of modeling not covered in class such as sheet metal, lips and grooves, rendering, families of parts, piping, weldments, etc.3.3 Course enhancementsTable 5 shows the comparison before and after the enhancements
episodes (Figure 7). Figure 7 – Inputting the verbal dataCoding the Verbal DataOnce all of the verbal data was inputted, Middleton’s (2008) categorisation of procedures wasutilised to code the cognitive actions of each student. Each cognitive action was coded intoone of ten proceduress and was then located within one of three major categories ofprocedures as shown in Table 1. Table 1 – Middleton’s categorisation of cognitive proceduresCategory of Procedure Generation Exploration Executive ControlProcedure Retrieval (R) Exploring Constraints Goal Setting (GSet) Synthesis (S) (EC
so importantly to the work reported in thispaper. This article is based on my work as a member of the Evaluation and Research Team forCIRTL. This material is based upon work supported by the National Science Foundation underGrant No. DUE-0717768. Any opinions, findings and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation (NSF).References1 National Science Board. (2008). Science and Engineering Indicators 2008, Volume 1. Washington, DC: National Science Foundation. Retrieved from: http://www.nsf.gov/statistiscs/seind08
32.2 ft/s2. Table 1: Sample Gravity Calculation Data Elapsed Time Velocity Best Linear Fit for Gravity Measurement (seconds) (ft/s) 20 0.134 4.3148 15 Velocity (ft/s) 0.257 7.8345 10 0.366 11.9256 y = 31.659x + 0.0085 5 R² = 0.9955
). Engle and Tinto11 address various obstacles to college success for low-income students.They state that “After six years, only 11 percent of low-income, first-generation students hadearned bachelor‟s degrees compared to 55 percent of their more advantaged peers.” One of theirrecommendations includes cohort development. Furthermore, the learning community modelimproves the persistence of the low-income and the first generation students12.A learning community is an environment that encourages student-student, and faculty-studentinteraction. At Colorado State University - Pueblo, a pilot learning community was initiated inthe Department of Engineering in fall 2009. Two first-year courses were linked with shared
evaluation has helped in adjustingthe program to better serve the students and showed that the program has progressed towardsachieving its objectives. However, further assessment and students’ follow-up survey will beperformed in order to ensure an accomplishment of the program goals.Acknowledgement This work is supported by the National Science Foundation under Grant number 0851400.Any opinions, findings, and conclusions or recommendations expressed in this material are thoseof the author(s) and do not necessarily reflect the views of the National Science Foundation.References 1. Tomovic, M.M., “Undergraduate research—prerequisite for successful lifelong learning,” ASEE Annu. Conf. Proc. 1, pp. 1469 -1470, 1994. 2. Lopatto, D
priori categories.MethodologyVerbal Protocol Analysis (VPA) was used to analyze the cognitive strategies of students as theywere solving a design task. During VPA data collection, subjects are asked to think aloud whileperforming a task [15]. From participants’ verbal reports, we can gain insights into how subjectsgenerate and transform information about the problem, as well as how they go about developinga solution.Verbal Protocol Analysis has been used extensively since the 1970’s to study the cognitiveprocesses of engineering students [3, 5, 23, 27] as well as experienced designers [7, 10, 14]. AlthoughVPA is considered the most appropriate method to study the cognitive abilities and processes ofdesigners it is not an assessment tool
as a team. For this project, two teams wereformed to address the same design problem. This paper examines the lessons learned during thiscollaboration and offers some insight into what challenges similar freshman engineering designcourses may encounter.Design Course Project ReviewThe Freshman Engineering Design Course at UMES has continued to operate in the samefashion since 2006. The engineering professor facilitates the course and introduces aspiringengineers to the knowledge, skills and abilities requisite for completing a design project. Jointly,Aviation Sciences faculties participate in the course by serving the role of both the client(s) andthe users who provides the students with the aim, scope and constraints of the project
Electrical Equipment forBuildings (MEEB) having recently passed in care from Benjamin Stein and John Reynolds toWalter Grondzik and Alison Kwok, with sustainable additions expanding its girth from 1724to 1766 pages.2 Ever a reliable favorite among architecture students for its literal as much asits referential density, the MEEB can still be spotted in many a studio holding down modelswhile their glue dries. The two courses, taught for third year B.Arch.’s and second yearM.Arch.’s at NJIT over four years, and more recently translated into first and third yearB.Arch. “tech-track” courses at Syracuse University, can be generalized as, respectively,Building Envelope Performance and Building Interior Environment & Service Systems,aimed principally in
, professors, and students. Journal of Technical Writing and Communication, 35(2), 179–190.4. Artemeva, N., Logie, S., & St-Martin, J. (1999). From page to stage: How theories of genre and situated learning help introduce engineering students to discipline-specific communication. Technical Communication Quarterly, 8 (3), 301–316.5. Bandyopadhyay, A. (2006). Writing in the discipline – A case study in construction management. American Society for Engineering Education. Retrieved January 19, 2008, from http://asee.org/acPapers/code/getPaper.cfm?paperID=101306. Beach, R., & Friedrich, T. (2006). Response to writing. In C.A. MacArthur, S. Graham, & J. Fitzgerald (Eds.), Handbook of writing research (pp. 222-234). New York
AC 2011-110: UNDERGRADUATE DESIGN: DESIGN OF A REUSABLESTIR FRICTION WELDING TOOLFredrick A. Nitterright, Pennsylvania State Erie, The Behrend College Mr. Fred Nitterright is a lecturer in engineering at Penn State Erie, The Behrend College. He received the A. A. S. in Mechanical Drafting and Design in 1989 from Westmoreland County Community College, the B. S. in Mechanical Engineering Technology in 1991 from Penn State Erie, The Behrend College, and the M. S. in Manufacturing Systems Engineering from the University of Pittsburgh in 1998. Mr. Nitterright is a member of the American Society for Engineering Education (ASEE). Fred Nitterright began his career as a machinist at Elliott Support Services in Donora
1269.84psi 0 1 100 10000 Log time(s) Figure 5: ABS creep plots at 200F and under various stresses. Page 22.1569.6 0.5 strain=ε=∆l/l0 0.4 0.3 σ=1269.84lb/in2 0.2
Page 22.683.1 c American Society for Engineering Education, 2011 Experimental Modules Introducing Microfabrication Utilizing A Multidisciplinary Approach S. Wagoner, W. Cui, W. E. Jones, D. Klotzkin, G. Meyers, and B. E. White Jr. Binghamton UniversityAbstract A comprehensive, multidisciplinary approach to introducing the concepts ofmicrofabrication to the undergraduate student body is being developed. The approach relies onmultidisciplinary expertise in electrical engineering, mechanical engineering, chemistry, andphysics and utilizes a pipeline approach to introduce concepts in microfabrication at thefreshman, sophomore
, including PDAs and wikis, in combination with the mentioned assessment in- struments, we are identifying the various problem solving processes used by the student teams, as well as the range of problems that can be addressed, to determine how effective the various processes are relative to improved conceptual understanding.Development of Effective MEAs - Our initial focus was to develop or adapt MEAs. The onesthat we have developed are primarily designed for industrial engineering students, as well as stu-dents in engineering statistics and economics courses. These have been described in detail intwo papers presented at last year‟s ASEE meeting [2, 3]. We have used MEAs in the classroomfor three broad purposes [4]. These are: Integrate
supported by the National Science Foundation’s Course Curriculum andLaboratory Improvement (CCLI) Program (Award Number 0837634). Any opinions, findings,and conclusions or recommendations expressed in this material are those of the author and do notnecessarily reflect the views of the National Science Foundation.Bibliography1. Online resource available at: http://www.census.gov/foreign-trade/statistics/product/atp/2006/12/atpctry/atpg06.html (last accessed on January 18, 2011)2. Online resource available at: http://www.census.gov/foreign-trade/statistics/product/atp/2008/03/atpctry/atpg06.html (last accessed on January 18, 2011)3. Hsieh, S. and Hsieh, P.Y. “Web-based Modules for Programmable Logic Controller Education
place to facilitate teachers as they plan, prepare, and organize theircurricula.References1. ITEA, Standards for Technological Literacy; Content for the Study of Technology, Reston, VA: ITEA, 2002.2. McTighe, J. and Thomas, R. S., Educational Leadership; Backward Design for Forward Action, VOL 60; PART 5, 2003, pages 52-55.3. Wiggins, G. and McTighe, J., "What is Backward Design?," in Understanding by Design, 1st edition, Upper Saddle River, NJ: Merrill Prentice Hall, 2001, pp. 7-19.4. Wiggins,G., McTighe, J., Understanding by Design, Prentice Hall, ISBN 013093058X, 2001.5. Wiggins,G. & Jay McTighe, Understanding by Design Professional Development Workbook, Association for
42%. 700 600 Engineering Science # of Students 500 Technology Studies 400 300 200 100 0 2004 2005 2006 2007 2008 2009 Academic Year FIGURE 1 Enrollment in The Regional Center for Next Generation Manufacturing ’s ProgramsThe enrollments in Connecticut’s Manufacturing Programs have increased significantly since thereceipt of the National Science Foundation funding to establish the Regional Center for NextGeneration Manufacturing. As illustrated in Figure 1, the increase in enrollments
its structure is shown in Figure 7 (a). Theprice on the central dispatch of the smart grid is dynamic, high in the day time and low in thenight time. There is two-way transmission between the main dispatch and a microgrid. aperformance metric Q for each microgrid is defined as: Q w1F w2 E w3 S Where, F is a cost index of electricity, E is an environmental effect index due toatmospheric emissions, and S is a load satisfaction. Q, F, E, and S are all between 0 and 1. wi(i=1, 2, 3) are weighting factors and wi 1 . The ultimate objective for each MG is tomaximize its overall performance index. Page 22.35.7
students.AcknowledgmentThis material is based upon work supported by the National Science Foundation under GrantsNo. 0624738, 0953698, and 0939128. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation. We would like to express our gratitude tothe students who have participated in the Gender and Engineering Co-Curricular Activity. Wewould also like to thank our colleagues for intense conversations on the subject and support inthe formation of this manuscript.References:1. National Academy of Engineering (2002). Diversity in Engineering: Managing the Workforce of the Future, Washington, DC: National Academy Press2. National