2006-1696: USING MATLAB TO SOLVE ENGINEERING PROBLEMS FORUNDERGRADUATESQingli Dai, Michigan Technological University Qingli Dai received her PhD degree from mechanical engineering and applied mechanics of university of Rhode Island in 2004. She worked as a visiting assistant professor in Mechanical engineering of Texas A& M University-Kingsville in 2005. Recently, she moved to Michigan Technological University and work as a research assistant professor in mechanical engineering and applied mechanics. Dr. Qingli Dai is a member of American Association of Mechanical Engineering.Zhanping You, Michigan Technological University
students. The current ABET outcomes that have been established are provided inTable 1. In the capstone design course sequence, all outcomes should be addressed through anappropriate design experience, as accomplished throughout the UND/Imation projects. Table 1. ABET outcomes1 A An ability to apply knowledge of mathematics, science, and engineering B An ability to design and conduct experiments, as well as to analyze and interpret data C An ability to design a system, component, or process to meet desired goals D An ability to function on multi-disciplinary teams E An ability to identify, formulate, and solve engineering problems F An understanding of
BOK criteria, the 21st century civil engineer must demonstratethe following:3 1. An ability to apply knowledge of mathematics, science, and engineering. (ABET a) 2. An ability to design and conduct experiments, as well as analyze and interpret data. (ABET b) 3. An ability to design a system, component, or process to meet desired needs. (ABET c) 4. An ability to function on multi-disciplinary teams. (ABET d) 5. An ability to identify, formulate and solve engineering problems. (ABET e) Page 11.1104.4 6. An understanding of professional and ethical responsibility. (ABET f) 7. An ability to
be able to (a) articulate and recognize the role and importance of engineering insociety, (b) identify physical mechanisms and phenomena relevant to various simple everyday Page 11.1407.6applications, (c) appreciate the interdisciplinary and multidisciplinary character of modernengineering, and (d) develop awareness of emerging engineering fields and of future researchtrends and challenges. Furthermore, the specific objectives varied for each group of students considering eachgroup’s educational level. For the freshmen engineers, the main objective was to introduce themto various research areas as a means of illustrating the diversity
and confidence levels. This assessment serves as both an evaluation of past experience and a basis for comparison with later results. Survey B: At the end of each of the first two laboratory courses, students are asked to evaluate how well the objectives were accomplished during that quarter. Survey C: At the end of the third laboratory course, the initial survey is repeated in order to evaluate how student perceptions have changed.This assessment is still underway; however some preliminary results regarding thedevelopment of lab plans will be considered for Survey A and Survey C.One of the questions asked of students prior to (Survey A) and on completion of (Survey C)the laboratory
: Implementing and Assessing a New First Year Experience at the University of Tennessee, Journal of Engineering Education, vol. 91, October 2002, pp. 441-446.5. Steven Schreiner and Judy L. Cezeaux. A Biomedical Engineering Laboratory Experience Adaptable Across Educational Levels. Proceedings of the Biomedical Engineering Society Fall Annual Meeting, October 2003, Nashville, TN. Page 11.799.96. Ronald E. Musiak, Eric W. Haffner, Steve Schreiner, Alan K. Karplus, Mary B. Vollaro and Richard A. Grabiec. Forging New Links: Integrating the Freshman Engineering Curriculum, Proceedings of the 2001 American Society for
2006-2486: IMPROVING ENGINEERING UNDERGRADUATE RETENTION VIARESEARCH AND INTERNSHIPSMelinda Seevers, Boise State University Melinda Seevers is the Engineering Co-op Coordinator for the College of Engineering at Boise State University. She develops and coordinates internships for lower and upper division undergraduates. She earned a B.S. degree in Mechanical Engineering from Cal Poly Pomona and has worked professionally in the aerospace and aviation industries.William Knowlton, Boise State University William B. Knowlton is an Associate Professor of Electrical and Computer Engineering at Boise State University. He has co-developed five new programs and a department in Materials Science
software do what you thought it should? Not at all Very Little Some Quite a bit A lot 1 2 3 4 5 6. Approximately how much time did you spend planning and creating the part for this assignment? a. less than 30 min b. 30 – 60 min c. 1 -2 hrs d. 2-3 hrs e. More than 3 hrs 7. How many times did you scrap your work and start over on this assignment? a. zero b. 1-2 c. 3-4 d. 5-6 e. More than 6 8. Approximately how much time did you spend creating the engineering drawing of the part for this assignment? a. less than 30 min b. 30 – 60 min c. 1 -2 hrs d. 2-3 hrs e. More than 3 hrs 9
ABET Criterion 4 draws fromseveral performance areas, and the evaluation of student performance in many of these areas canbe very subjective and time-consuming. Accordingly, there is the temptation of utilizing aholistic approach to the grading of such design projects. The efficiency of assigning a singlegrade to the overall project, or to an individual component of a project such as an oralpresentation, makes such an approach compelling, especially for those instructors who profess tointrinsically know the difference between ‘A’-level and ‘B’-level work. However, what is gainedin efficiency is more than offset by the lost opportunity for an understanding of studentperformance, or more to the point, deficiencies in student performance. When a
Education and Lifelong Learning. Vol. 14, Nos. January 2004. pp. 167-175. 3) Jordan, W.; Elmore, B; Silver, D. “Creating a Course in Engineering Problem Solving for Future Teachers.” American Society for Engineering Education Conference. 2000. pp. 1601-1607. 4) Hill, A.M. “Problem Solving in Real-Life Contexts: An Alternative for Design in Technology Education.” International Journal of Technology and Design Education. Volume 8. 1998. pp. 203-220. 5) Barak, M. “Fostering Systematic Innovative Thinking and Problem Solving: Lessons Education Can Learn from Industry.” International Journal of Technology and Design Education. Vol. 12. 2002. pp. 227-247. 6) American Society of Heating, Refrigerating and Air Conditioning
Page 11.1117.5typically designed to have the same natural frequency as the forcing frequency. From ananalytical perspective, the harmonic force from the actuator is counteracted with equal, andFigure 2: Horizontal vibration experiment - (a) wiring diagram, and (b) construction schematicopposite, force from the absorber’s springs. Students are challenged to validate their conclusionsthrough mathematical simulation and experimental testing. The vibration absorber designrequires knowledge of the absorber mass and stiffness of the spring steel supports shown inFigure 3. Note that the spring stiffness depends on the length which the students may adjust.Finally, frequency domain analysis is reviewed to allow further tuning of the vibration
. Zeldin, A. L. Sources and Effects of the Self-Efficacy Beliefs of Men with Careers in Mathematics, Science,and Technology. Thesis in Educational Studies; Emory University, 2000.18. Zeldin, A. L. and F. Pajares, "Against the Odds: Self-Efficacy Beliefs of Women in Mathematical, Scientific,and Technological Careers," American Educational Research Journal, vol. 37, no. 1, 2000, pp. 215-246.19. Bodner, G. M., "Twenty years of learning how to do research in chemical education," Journal of ChemicalEducation, vol. 81, no. 5, 2004, pp. 618-628.20. Marton, F. Phenomenography. In The International Encyclopedia of Education; 2nd ed.; T. Husen and T. N.Postlethwaite, Eds.; Pergamon: Oxford, 1994; Vol. 8; pp 4424-4429.21. Follman, D. K., H. Patrick and B
2006-2071: MULTI-CAMPUS COLLABORATIONS AMONG UNDERGRADUATEDESIGN TEAMS: OPPORTUNITIES AND CHALLENGESCarla Zoltowski, Purdue University CARLA B. ZOLTOWSKI is Education Administrator of the EPICS Program at Purdue University. She received her BSEE and MSEE from Purdue University. She has served as a lecturer in Purdue’s School of Electrical and Computer Engineering. She is a member of the ASEEWilliam Oakes, Purdue University WILLIAM C. OAKES is an Associate Professor in the Department of Engineering Education at Purdue University and the Co-Director of the EPICS Program. He is a co-recipient of the 2005 National Academy of Engineering’s Bernard M. Gordon Prize and the 2004 NSPE
theCollege of Engineering and Computer Science, the College of Education, and Computing andCommunications at the University of Washington. This Center undertakes a variety of activitiesthat lead to college and career success for people with disabilities. One of these programs iscalled the DO-IT Scholars program. DO-IT Scholars are high school students who want topursue postsecondary studies and careers but face significant challenges due to their disabilities.The program has three key components: (a) residential Summer Study on the university campus,(b) year-round computer and Internet activities, and c) work-based learning.While participating in the program, DO-IT Scholars develop social, academic, and career skillsin preparation for postsecondary
2006-518: QCC TECHASCEND: NSF-SPONSORED AFTER-SCHOOL PROGRAMAIMED AT POTENTIAL TECHNICIANSDon Engelberg, Queensborough Community College Principal Investigator Dr. Don Engelberg holds a B. S. degree from the Massachusetts Institute of Technology and M. A. and Ph. D. degrees in physics from Columbia University. In addition to coordinating the entire TechASCEND project, he served as instructor for the fiber optics unit. Dr. Engelberg has served as P. I. for two previous NSF grants related to fiber optic telecommunications. In addition to his publications related to physics education, he has published on nuclear and particle physics and the history of physics. He has also directed grants under the
100o, the right face 200o, the top face 300o and the bottom face 400o. Consider the origin of the coordinate system be at the lower left hand corner of the object. a.) Determine the highest temperature on the object. b.) Give the approximate coordinates for the location of this point. c.) Determine the lowest temperature on the body. d.) Give the approximate coordinates for the location of this point. e.) Give the approximate coordinates for the location of the highest heat flux on the object. f.) Give an approximate direction for the flow of heat at this point, using the conventional radial coordinate system with zero degrees along the x axis and increasing angle in
Role in Global Economy: Fed chairman leads call for education, training, not protectionism.” The Boston College Chronicle, Vol. 12, Number 13, March 18, 20042. Khan, S. “Teaching diversity at the College of Technology & Aviation,” Conference proceedings of the 33rd ASEE/IEEE Frontiers in Education Conference, November 5 – 8, 2003, Boulder, CO., pp F3D-24 – F3D-283. Kissick, B. and Khan, S. “Expectations, Leadership, Dialogue and a continuing commitment to Diversity Promotion,” Conference Proceedings ASEE 2004 Annual Conference, Salt Lake City UT, June 2004, 9 pages4. Kearns, S. ASEE President’s Speech at Plenary Session, 2005 ASEE Annual Conference, July 11-15, 2005, Portland, OR from http://www.asee.org/about/events
special issues for under-represented student populations including women andminorities.PartnershipsThe extensive research team assembled for this project has a number of positive characteristicsthat were considered requisite for ultimate success of the effort, including: (a) an experienced PIwith a track record of working with each faculty-instructor; (b) energetic faculty-instructors withlocal Department support to develop a novel laboratory course; (c) an advisory boardrepresenting 2yr, 4yr, and HBCU (historically black colleges and universities) colleges providingindependent critical feedback to make the development of educational materials broadlyaccessible to diverse student audiences; (d) two members of the National Academy ofEngineering as
business. The quantitativesampling strategy used in selecting the population was non-probability, convenience sampling[15]. The population was readily available and convenient. In addition, the populationrepresented some characteristics of the target population. The student teams resemble self-managed teams in the following ways: (a) self-led, (b) shared responsibility, (c) shared goals, Page 11.228.16and (d) high autonomy. Each team is assigned a team project for the 2006 spring semester.Instrumentation The measuring instrument for the independent variable is the 36-Item ManagerialBehavior Instrument developed by Lawrence, K.A., Quinn, R.E
community, government, and industry. The goals ofvertical collaboration are to (a) enhance environmental science education at all levels, (b)accelerate the exchange of information and ideas between educators and students from K-12through post-graduate education, and (c) promote the development of relationships betweenindividual educators that will be mutually beneficial. The goals of vertical collaboration will bemet by (a) providing forums for interaction among educational groups that currently haveminimal contact, (b) creating hands-on and virtual educational activities for multi-level groups,and (c) establishing multi-level collaboration as core components of WATERS Network projects.Further, the cyberinfrastructure of WATERS Network can provide
spill water to run Page 11.329.4through water-wheels or other toys. In general the students tried to purchase parts and 3components instead of fabricating them at the machine and/or wood shops in order tosave their time and improve the product quality. Teams then drew their CAD drawingsand started to purchase some parts that were available from local stores. Because ofbudget limitations and availability of components at the local stores, a number of partshad to be fabricated by the students. Two teams spent their major time building the woodtables.(a) Conceptual design by Team 1 (b) CAD drawing by Team
detail questions: A. How did you initially generate an Andersen Window detail? 0% Automate; 58.8% Copy; 41.1% Copy parts; 0% Create B. How did you fit the head and sill of this detail into your wall detail? 0% Analyze only; 0% Develop only; 5.9% Integrate only; 76.5% Analyze & Integrate; 17.6% Just copied and pasted into the wall detail without modifying2. Please answer the following first floor sill/floor/stud wall intersection detail questions: A. How did you initially generate a first floor sill/floor/stud wall intersection detail? 0% Automate; 5.9% Copy; 5.9% Copy parts; 88.2% Create B. How did you fit this detail into your wall section? 0% Analyze only; 47.1% Develop only; 5.9
2006-800: GAME DEVELOPMENT IS MORE THAN PROGRAMMINGBruce Maxim, University of Michigan Professor Maxim is Associate Professor of Computer and Information Science at the University of Michigan -Dearborn. He has taught game design, artificial intelligence, and software engineering courses for 20 years. His current research interests include software usability, accessibility issues, and software quality assurance. Page 11.660.1© American Society for Engineering Education, 2006 Game Development is More Than ProgrammingAbstractGame development generates a great deal of excitement among undergraduate
center of mass and front and rear suspensions respectively.The car is assumed to be traveling at 50 km/hr and the road is approximated as sinusoidal incross section with amplitude of 10 mm and the wavelength = 5 m. a) Using Lagrange’s equations derive the governing differential equations of motions, describing the bounce and pitch motions. b) Using MATLAB, obtain the natural frequencies of the system and the corresponding mode shapes. c) Verify the results in part b by building a SIMULINK model of the system. Simulate each mode and show that the system oscillates at the respective natural frequencies. d) Assuming free vibration of the system under the initial conditions x (0) = 14 mm and
)hemicellulose/polyose, which is predominantly a sugar-polymer of pentoses; b) cellulose, whichis a glucose-polymer; and c) lignin, which is a polymer of phenols (Figure 5) [9]. Lignocellulose + H 2 O → Lignin + Cellulose + Hemicellulose Hemicellulose + H 2 O → Xylose Xylose (C 5 H 10 O5 ) + acid Catalyst → Furfural (C 5 H 4 O2 ) + 3H 2 O Cellulose (C 6 H 10 O5 ) + H 2 O → Glucose (C 6 H 12 O6 ) Figure 5. General equations for biomass conversion in an LCF-Biorefinery.Biomass streams generally cannot be utilized directly as bioenergy, biofuels, or bioproducts; theytypically must undergo conversion operations in order to be successfully used. The keyobjective of biomass
applications that this field addresses. (a) To develop a software collection of machine learning related algorithms based on MATLAB with accompanying documentation and usage examples based on real-world problems. (b) To develop educational material regarding selected, current topics in machine learning that will be used as chapters of an introductory textbook in Machine Learning for undergraduate students. 3. Involve students from 2-year community colleges (BCC and SCC) in this educational development process. The plan is to involve 10 community college students per year. Page 11.544.4 4. Disseminate
., Using LEGO Bricks to Conduct Engineering Experiments. Proceedings of the ASEE Annual Conference and Exposition. 2004.[3] Bain. K., Creating a Natural Critical Learning Environment in Large Lecture Classes. Invited lecture, Stevens Institute of Technology. 2005.[4] Engineering Trends. 2005. Synopses of New Reports in Inside Engineering Education on the Engineering Trends Web Site. Engineering Trends Quarterly Newsletter, Summer 2005.[5] National Science Board. Science and Engineering Indicators 2004. Chapter 2: Higher Education in Science and Engineering. 2004.[6] Pomalaza-Ráez, C. and Henry Groff, B. Retention 101: Where Robots Go…Students Follow. Journal of Engineering Education. Vol. 91, No.1, 2003.[7
improvement plan. Itshould be noted that some assessment methods can only be used to assess certain specificoutcomes. Table 1 maps the assessment tools for assessing each of the a-k programoutcomes.Table -1 Assessment Tools for Outcomes for the Engineering Technology Programs Engineering Technology Program Outcomes Assessment Tools a b c d e f g h i j k Advisory Committee X X X X X X X X Feedback Used to assess program objectives Course Assessment X X X X X X X X X X X Alumni Surveys Used to assess program objectives Capstone/Senior X X X X X X X
decision: a. Invite to apply with waived fees b. Invite to apply without waived fees c. Not invite to apply d. Conditional approval e. Decision PendingThe results indicated that 40% of the pre-applicants had been invited to submit an applicationwith fees waived and 19% had been invited without fees waived.See Figure 4. Figure 4: Decision DistributionThe time taken for a graduate coordinator to make a decision was calculated by taking thedifference between the date the pre-application was submitted and the date on which the decisionwas made, taking into consideration only working days and disregarding semester breaks. Theresults
remainder of this paper as moreappropriate.Information fluency reflects the process of acquiring a proficiency by degrees, as part of anongoing process, where “fluency” is relative to the context in which performance occurs.Approximations of a second “language” must be practiced, as new proficiency is graduallyacquired. In the remainder of this paper, the authors use the words information fluency, ratherthan information literacy, to refer to a constellation of abilities in the use of information systems.We first: (a) refer to TAC of ABET accreditation Criterion 2 to demonstrate the process of faculty/librarian teamwork in a mechanical engineering technology information assignment, then (b) share examples of early