the introduction of personal computers (PCs) in the early 1980’s, complex computer Page 14.17.2codes were needed for numerical solution of heat transfer problems. Access to mainframecomputers and proficiency in such programming languages as FORTRAN and PASCAL werenecessary for solving complex heat transfer problems. As the personal computers became moreavailable and affordable, and as the operating systems became more user friendly, theirapplications were gradually integrated into introductory heat transfer courses. Simpleprogramming languages such as BASIC were used for solving simple heat transfer problems inlate 1980s or early 1990s. During
as uniform as possible and to provide the best pedagogicalpractices to this integration into education both within the traditional classroom and DL.One of the main focuses of this research was to generate a sound and robust reference list toestablish credibility to the research. The articles were individually evaluated and subjected to avalidity analysis composed of the following criteria (a) the credibility of the author(s) andinstitution(s) where the research was performed along with a robustness and methodology thatconforms to best practices, (b) whether the publisher of the article employs the peer review Page 14.1251.3process, (c
ReviewEngineeringAmerica is the place where dreams happen, as evident by the creativity, discovery, andinnovation of the American workforce. These workforce attributes contribute to the UnitedStates being a leader in science and engineering fields. The U.S.’s leadership in these fields hasbeen held secure by the ample supply of a well-educated workforce3. However, for the pastseveral years, the Trends in International Mathematics and Science Study (TIMSS) has revealedthat America’s youth lag behind those of other nations such as Japan, England, Singapore, andChinese Taipei.4,5 In addition, the National Assessment of Educational Progress (NAEP)revealed that 39% of the United States twelfth graders performed below the proficient level onthe 2007 math test, while
. Markman (Eds.), Carmichael’s manual of child Page 14.907.21 psychology (Vol 1, pp.77-166). New York: Wiley.6. Brown, J. S., Collins, A., & Duguid, (1989). Situated cognition and the culture of learning. Educational Researcher, 18, 32-42.7. Carlson, E.R. (1997). Experienced cognition. Mahwah, NJ: Erlbaum.8. Cohen, M.S., Freeman, J.T., & Wolf, S. (1996). Metacognition in time-stressed decision making: Recognizing, critiquing, and correcting. Human Factors, 38(2), 206-219.9. Collins, A, Brown, J. S., & Newman, (1989). Cognitive apprenticeship: Teaching students the craft of reading, writing, and
papers, including anexamination of relevant background information and author biographies, also suggests thatcollaborations frequently grow out of pre-existing individual and institutional relationships. Forexample, researchers who move to another country may continue to collaborate and publish withpeers and partners at their former institution(s). In other cases, cross-national collaborationsinvolve visiting professorships, post-doc appointments, Fulbright exchanges, and advisee-studentrelationships that cross national boundaries. International initiatives undertaken by universities,including partnerships with foreign institutions, also seem to encourage research collaborations.Keyword and Category AnalysisFigure 1 presents total number of
, which of the “Ten Faces” do you think best describes you? Why?This assignment is completed and turned in during the next class period and is designed to startthe students thinking about the role(s) where they feel they can contribute in a team environment.Official team roles are not assigned, but effective team management techniques are discussed.Project Selection: At the end of the first three weeks of the course, each team of four studentshave developed an extensive list of “bugs”, approximately 28 total bugs per team. The teamsthen choose one of their bugs (or a variant thereof) to explore further. The teams write a memo tothe instructor describing the bug, but are encouraged to remain open to the actual solution totheir bug. It is
. Nakagawa, H. Suda, M. Ukigai, Y. Miida, “An innovative hands-on laboratory for teaching a networking course”, Proceedings of the 33 rd ASEE/IEEE Frontiers in Education Conference, 14-20, Boulder, CO, USA. November 5-8, 2003.8. G. Steffen G, “Teaching Local Area Networking in a Secure Virtual Environment”, Proceedings of 2004 ASEE Annual Conference and Exposition, Salt Lake City, UT, USA, June 2004.9. http://www.virtualbox.org/wiki/VBox_vs_Others, retrieved February 3, 200910. S. Averitt, M. Bugaev, A. Peeler, H. Shaffer, E. Sills, S. Stein, J. Thompson and M. Vouk, “Virtual Computing Laboratory (VCL)”, Proceedings of the International Conference on the Virtual Computing Initiative, Research Triangle Park, North Carolina, USA, May
. Page 14.1124.6 5References 1. A. Silberschatz, P. Galvin, and G. Gagne, Operating System Concepts, 8th Edition, John Wiley & Sons, Inc. 2. W. Christopher, S. Procter and T. Anderson,The Nachos Instructional Operating System http://www.eecs.berkeley.edu/Pubs/TechRpts/1993/6022.html 3. S. Robbins, Simulators for Teaching Computer Science, http://vip.cs.utsa.edu/simulators/ Page 14.1124.7 6
classes taught by the aforementionedfaculty are small size, seldom exceeding 35 students per class. The lecture format dominates theseen. Students listen, take notes, and are allowed to ask questions at the end of the lecture orduring office hours. There seem to be less interest (by most of the faculty interviewed) in theprocess by which the course content is delivered during the lecture period, and more of a concernwhether the rate of delivery would allow the instructor to finish the course on time. The viewsexpressed by the faculty and the impression(s) arrived at by the author, leads one to believe thatit is highly unlikely that new more effective teaching-learning strategies would be deployed anytime soon, unless drastic measures are
AC 2009-1001: TEACHING ENGINEERING TECHNOLOGY COURSES USINGDESIRE2LEARN (D2L)B. Sridhara, Middle Tennessee State University B. S. SRIDHARA Dr. B. S. Sridhara is a professor in the Department of Engineering Technology at Middle Tennessee State University. He received his B.S.M.E. and M.S.M.E. degrees from Bangalore University and Indian Institute of Science, Bangalore, India. He received his M.S.M.E. and Ph. D. degrees from Stevens Institute of Technology, Hoboken, New Jersey, and Auburn University, Alabama. Dr. Sridhara has published several peer-reviewed articles in the areas of Acoustics, Vibration, finite element methods, and Engineering Education
Practice, Donovan, S. M., J. D. Bransford, and J. W. Pellegrino, editors. Committee on Learning Research and Educational Practice Commission on Behavioral and Social Sciences and Education National Research Council, 2000.2 Robins, A., Haden, P., and Garner, S. Problem Distributions in a CS1 course, Proceedings of the 8th Australian Conference on Computing Education, 2003.3 McDowell, C., Werner, L., Bullock, H. E., and Fernald, J, Pair Programming Improves Student Retention, Confidence, and Program Quality. Communications of ACM, 49(8):90-95, 2006.4 Hanks, B., Problems Encountered by Novice Pair Programmers, ACM Journal on Educational Resources in Computing, 7(4):Article 2, 2008.5 Bandura, A. Social Foundations of Thought and
UndergraduateTeaching and Learning Improvement Initiative. Much appreciation goes to Mr. G. Held forfabrication and insights on the development of the DLMs. Assistance in the design of controlcircuitry for the DLM was provided by Prof. H. Davis. Finally, we acknowledge the help ofundergraduate researchers Mr. J. Babauta and Mr. S. Isaacson for assistance with DLM andCHAPL data collection tasks, the staff of WSU’s Center for Teaching Learning and Technologyfor assistance with CHAPL assessment strategies, and the many students at Washington StateUniversity and Ahmadu Bello University for willingness to participate in this pedagogical study. Page
Page 14.1114.2have excellent performances on high speed and acceleration, reliability and controllability, andlow audible noise. Each motor weighs five lbs and has a built-in position feedback delivering upto 12 micron repeatability. It is mechanically mounted on the ThrusTube guide (Figure 1) withthe center of the motor passing through a 3-ft-long with 1.5-inch diameter magnetic rail. Whenthe motor is powered, the coil in the motor will generate an electro-magnetic force of 44 lbswhen interacting with the magnetic rail. The speed of each motor can reach up to15 ft/s. Thedesign uses two parallel magnetic rails, with each rail supports two motors in series. The objectmounting plate, which is used to hold the testing object, is bolted directly
) ⎤⎦ τ x $$ (1)where x = 1.48·10–2 s, Kx = 0.840 (mm/s)/V, and fC = 0.980 V. The model is determined bysubjecting the linear axis to a series of step input voltages. The linear axis response to theseinputs closely resembles the second order model given in equation (1) whose parameters aredetermined using recursive least squares estimation. The linear axis model is used in theSimulation and Emulation modes and is shown in Figure 4 in Simulink syntax.The Phase 1 GUI is shown in Figure 8 and includes four options: Mode, Controller, Build, andHelp. The Mode option is a drop down list containing the three modes: Simulation, Emulation,and Implementation, which are described above. The
and operations on sets are fundamental in discrete mathematics; Python has apowerful built in list type and set object that can easily be used to experiment with constructionof sets as well as operations on them. A list type in Python can be a heterogeneous collectionwhich can be modified. Often in a discrete mathematics course a set builder notation is used toconstruct a set. For example, the set of the first twenty even numbers using set builder notation isdenoted by S ? {x | x ? 2n;0 ∞ n ∞ 19} . In Python this set can easily be specified by S = [2*x for x in range(19)]The syntax is very intuitive and maps well to its counterpart in mathematics. Once a set a built, itis easy to index though its elements in a simple
approach usingquality principles. The curriculum seeks to offer a minor in sustainability to students. Given themultidisciplinary aspect of sustainability, it was demonstrated that quality principles can beeffectively used to design said curriculum.References1. Y. Akao, Quality Function Deployment: Integrating Customer Requirements into Prodduct Design, Cambridge, MA, Productivity Press, 1990.2. S. Mizuno, Company wide Quality Control, Tokyo: Asian Productivity Organization, 1988.3. S. Shingo, Zero Quality Control: Source Control and the Pokayoke system, Cambridge, MA, Productivity Press, 1986.4. M. J. Harry and R. Schroeder, Six Sigma: The Breakthrough Management Strategy Revolutionizing the World’s Top Corporations, Doubleday
CRED ER LECTURE Y LAB IT NUMBER HRS HRS HOUR S Orientation 1 2 0 2 Fundamentals 1 2 3 3 Circuits I 2 3 3 4 Digital I 2 3 3 4 Circuits II 3 3 3 4 Electronics I
. Page 14.991.53. Isadore T. Davis, Eugene M. DeLoatch, Sherra Kerns, Lueny Morell, Carla Purdy, Paige Smith, andSamuel L. Truesdale, Best practices for promoting diversity in graduate engineering education, Proc. 2006ASEE Annual Conference, Chicago, IL, June 2006.4. Eugene M. DeLoatch, Sherra Kerns, Lueny Morell, Carla Purdy, Paige Smith, Samuel L. Truesdale, andBarbara Waugh, Articulating a multifaceted approach for promoting diversity in graduate engineeringeducation, Proc. 2007 ASEE Annual Conference, Honolulu, HI, June 2007.5. E. Deloatch, S. Kerns, L. Morell, C. Purdy, P. Smith, and S. L. Truesdale, Implementing a multi-facetedapproach for promoting diversity in graduate engineering education, Proc. 2008 ASEE Annual Conference,Pittsburgh
. 121-130, January 2005.2. Sloan Consortium of Institution and Organizations Committed to Quality Online Education, “Stayingthe Course: Online Education in the United States, 2008”.http://www.sloan-c.org/publications/survey/staying_course3. B. Balamuralithars, and P. C. Woods, “Virtual Laboratories in Engineering Education: The SimulationLab and Remoter Lab”, Computer Applications in Engineering Education, Vol 17, Issue 1, 2008, pp. 108-118.4. H. J. W. Spoedler, Virtual instruments and virtual environments, IEEE Instrum Meas Mag 2 (1999),14-19.5. N. Jensen, G. von Voigt, W. Nejdl and S. Olbrich, “Development of a Virtual Laboratory System ForScience Education”, Interactive Multimedia Electronic Journal of Computer-Enhanced Learming, vol. 6(2
systems5. The framingis attached to the building structure and does not carry the floor or roof loads of the building. Thewind and gravity loads of the curtain wall are transferred to the building structure, typically atthe floor line. Aluminum framed wall systems date back to the 1930's, and developed rapidlyafter World War II when the supply of aluminum became available for non-military use6.A unitized curtain wall system is also known as a modular system. It is composed of large unitsthat are assembled and glazed in the factory, shipped to the site and erected on the building.Vertical and horizontal mullions of the modules mate together with the adjoining modules.Modules are generally constructed one story tall and one module wide but may
coursesand do not offer any data mining course. On the other hand, many universities offer more thanone database related courses and they also offer data mining course(s). But mostly theseuniversities offer their data mining course as a graduate course. Therefore, the students whograduate from the universities like our university with no graduate computer science programwill not have the opportunity to get Data Mining knowledge.To improve our Database Engineering curriculum, we have decided to add a new Data Miningcourse to this curriculum. The paper first presents this curriculum and then elaborates the contentdetail of this Data Mining course.Introduction:In addition to associate degrees, the Computer Science and Pre-Engineering department offers
14.900.91 Sheppard S., Macatangay, K., Colby, A., and Sullivan, W. Educating Engineers: Designing for the Future of theField. Jossey-Bass, 2008.2 Crawley, F., Malmqvist, J., Ostlund, S., and Brodeur, D. Rethinking Engineering Education: The CDIOApproach. Springer, 2007. Page 14.900.10
. Following thisexperience, the students displayed their informal education products at a campus-wide science day event,Science Expeditions. Following that experience, the students packed up their informal education product sand transported them to the Museum of Science & Industry (MSI) in Chicago for a chance to interact witha more diverse crowd than the one offered at UW-Madison. This was the first time the course askedstudents to display their informal education product s in two venues.The course instructors demonstrate the teaching-as-research approach to instruction by collecting andanalyzing student feedback throughout the course. Through this analysis, we are able to show that byemphasizing an understanding of the audience, the iterative
., Hill,W.H., & Krathwohl, D.R. (1956). Taxonomy of Educational objectives: The classification of educational goals. Handbook 1: Cognitive domain. New York: David McKay.2. Crane,D.,(2008),Aviation Maintenance Technician Series,3rd Edition, Aviation Supplies & Academics, Inc.3. Dave, R. H. (1975), Developing and Writing Behavioral Objectives. (R J Armstrong, Ed.) Educational Innovators Press.4. Hoyt, D. P. and Perera, S.,(June 2000),Teaching approach instructional objectives and learning, IDEA Page 14.948.13 Research Report #1,IDEA Center5. Gramopadhye, A. K., Drury, C. G., and Sharit, J., (1994), "Training
, technological, and societal barriers that presently exist. Usingthis plan, we wish to create a model program that targets students who are physicallydisabled in order to increase the proportion following STEM curricula. Students withdisabilities make up about 6 percent of all students enrolled in postsecondary institutions;5.7 percent of all students who major in S&E fields and 6.6 percent of students whomajor in non-S&E fields. Presented here are some suggested programs that may helpwith this goal. We use our empirical observations as well as the observation of the others in this Page 14.1373.2field to draw some of our conclusions.Middle/High
kinetic energy is transferred into potential energy. The speed of the tsunami is afunction of gravity and the depth of the ocean: S=g/(2*pi*f) [1].B. Comparison with Wind-Generated WavesTsunamis are orders of magnitude greater than wind-generated waves in terms of the lateralspeed, the wave period and the size of the wave. Wind-generated waves are the transfer ofenergy across the ocean. The energy is usually provided by the wind. The water particlesthemselves are not making any voyage across ocean. Instead, the particles are traveling in smallcircles as the wave passes. This can be seen in the following diagram [4]: Figure 1 Shows the differences between the landfall of tsunami and wind waves
. Brewster, C.; Fager, J., “Student Mentoring,” Northwest Regional Educational Laboratory’sInformation Services pp 1-53, 1998.2. Matthew, S.; Jace A,; Donlad H.; Terri F., “Work in Progress -Implementing a Freshman Mentor thProgram,” Frontiers in Education Conference, 38 Annual pp. F2H-1/F2H-2, 2008.3. Matthew, S.; Donald, H.; Terri, F.; “Work in Progress – Improving Self-Efficacy with a Freshman thMentor Program,” Frontiers in Education Conference, 38 Annual pp. F3D-5/F3D-6, 2008.4. Sash, R.; Detloff, H.; Chen, B.; Grandgenett, N.; Duran,, D., “Work in Progress – Retention of
on Education, Washington DC, 2008. 4) William C. Symonds et al, “Colleges: The Newest U.S. Export”, Business Week, 9 February 2004. 5) Philip G. Stack, “Venturing Abroad: Delivering U.S. Degrees through Overseas Branch Campuses and Programs”, Planning for Higher Education, 36(3): 81–82, 2008. 6) Line Verbick, “The International Branch Campus: Models and Trends”, International Higher Education, Number 46, Winter2007, p14-15. 7) Grant McBurnie and Christopher Ziguras, “The International Branch Campus”, http://www.iienetwork.org/page/84656/, 2008. 8) Burton Bollag, “America’s Hot New Export: Higher Education”, The Chronicle of Higher Education, 17 February 2006. 9) Lawrence S. Bacow, “Planning a Branch Campus
university climate, that is, be able toaccess course material 24 hours per day, 365 days per year.The National Science Foundation8, in a report entitled Higher Education in Science andEngineering: Graduate S&E Students and Degrees in the United States - Overall Trends inGraduate Enrollment states that “Terminal master’s degree programs might be viewed as thescience equivalents of master’s degree programs in business administration. Although theseprograms have existed for many years, industrial and academic interest is growing in programsthat prepare students to enter emerging science and engineering (S&E) fields as skilledprofessionals.”In preparation for establishing the new program, the College of Engineering at the University ofCincinnati
withMatlab and modeling software, and experience on how to conduct background research on newor previously unreported research. Additionally, because of the received grant, the students willbe able to further continue their learning while continuing the project through device fabricationand testing.VI. AcknowledgementThe team appreciates the efforts of the MURI administration at the School of Engineering andTechnology at IUPUI for their financial and technical support of this project.VII. References 1. http://www.muri.iupui.edu/ 2. C. W. Liu, W. T. Liu, M. H. Lee, W. S. Kuo, and B. C. Hsu. A Novel Photo detector Using MOS Tunneling Structures. IEEE ELECTRON DEVICE LETTERS, VOL. 21, NO. 6, JUNE 2000 3. S. M. Sze. Physics of Semiconductors