the UniversidadTecnológica Nacional (UTN) and Universidad de Morón, (UM), Buenos Aires, Argentina.The proposed Experimental Method is framed in Kolb´s Learning Model. We have begun toapply progressively this Method in the Structures courses, of which we are professors.The use of the Experimental Methodology helps to reorganize student´s knowledge, improvingthe connections between different concepts in different subjects, and puts them in contact withthe resolution of engineering problems that will appear in their future professional activities.We have also observed that this Method encourages students to deeper researches of thestructural problems, thus helping them to achieve higher levels of knowledge as independentthinkers, according to
ASession0143@ Funding Sources for Research and Scholarship Fazil T. Najafi University of FloridaAbstractA direct lead between existing research funding needs and research funding sources is lacking.This problem creates a burden on the part of science and engineering college professors whomust spend excessive time and effort to search and identify a funding source(s) in order toobtain the information necessary for preparing a research proposal. Since writing a researchproposal is time and energy intensive itself, it would be very desirable to develop a simple
“psychologicaltools” appropriated during the course of intellectual development (also called “cultural tools”).These tools are not developed by the individual in isolation, but rather, like language, emerge asproducts of sociocultural evolution. A psychological tool in sociocultural discourse is virtually anyinstrument connected with conceptual thought—calendars, the computer, maps, mechanicaldrawings, and works of art to name a few. One’s mental functioning is tied to the cultural andsocial settings in which the individual masters the tools s/he uses to help reason through asituation. The tools become carriers of the sociocultural patterns of knowledge, which theindividual actively engages and at the same time influences.Some recent research on problem
Session 2315 Addressing the Management Crisis in Civil Engineering Education Paul S. Chinowsky Georgia Institute of TechnologyAbstractThe beginning of the 21st century is witnessing an awareness that the civil engineering industryhas become a global industry. The rapid increase in foreign ownership of firms in the UnitedStates together with the globalization of economic markets is reminding civil engineeringprofessionals that they must be aware of global events before they impact local operatingconditions. In response to these
Session 3532 Advanced Internet Technology in Laboratory Modules for Distance Learning Kjetil Smith, Jan O. Strandman, Raymond Berntzen, Tor A. Fjeldly, Michael S. Shur, Hong Shen Physics Department, Oslo University, Norway/ UniK-Center for Technology, Norwegian University of Science and Technology, Norway/ ECSE Department, Rensselaer Polytechnic Institute, Troy, NY 12180-3590AbstractWe describe user-friendly and efficient technologies for interactive, on-line operation oflaboratory experiments over the Internet. The objectives are to utilize the most recent
grades and in groups’ graduation rates. There was also a statisticallysignificant difference (p = 0.05 level) between EG and FED students in English, Mathematicsand Engineering and in the cumulative GPA.IntroductionIn the past, the traditional engineering curricula has Mathematics, Physics and Chemistry in thefirst and second years, Engineering Science and Basic Engineering Courses in the second andthird years and the Capstone Design courses in each discipline in the fourth year. At New JerseyInstitute of Technology (NJIT), interest developed in the late 1970’s to introduce freshmen to theconcepts of engineering design. In 1977, the National Science Foundation supported the CAUSEgrant at NJIT to introduce freshmen to engineering design. The two
to biomedical engineering education. This process includes – • Identifying a major learning objective(s) for the course (ie, what should student be able to do at the end of the course • Define specific learning objectives necessary to achieve the major objective(s) • Identify challenges that target these learning objectives • Use STAR Legacy to organize learning activities (including assessment events) to systematically explore the problem space of a challenge. • Define a sequence of pre-class, in-class and post-class learning activities. This process will result in creating a modular unit that can be shared with others.If portions of the module do not suit the needs
Session 3268 Design Projects for Mechanics Courses Nicholas J. Salamon and Renata S. Engel The Pennsylvania State UniversityAbstractIn teaching undergraduate mechanics, it is important to regularly relate the theory to applicationsin a meaningful manner. We believe mechanical design is the most important and convenientapplication to employ for the following reasons: (1) it closely follows the mechanics theory, (2) itrequires an understanding of the theory, (3) it introduces markets and mechanical technology tostudents, (4) it connects students with information
. “Teachability of reflexive processes in written composition,” Cognitive Science, 8, 1984, 173-190.5. Schoenfeld, A. H. Problem solving in the mathematics curriculum: A report, recommendations, and an annotated bibliography. (MAA Notes #1). Washington, DC: Mathematical Association of America, 1983.6. Brown, A. L., & Palincsar, A. S. “Guided cooperative learning and individual knowledge acquisition,” In L. B. Resnick (Ed.), Knowing, learning, and instruction: Essays in honor of Robert Glaser. Hillsdale, NJ: Erlbaum. 1989, p. 393-451.7. Pirolli, P. & Recker, M. “Learning Strategies and Transfer in the Domain of Programming,” Cognition and Instruction, 12, 1994
been successful in reaching theobjectives mentioned above, enhancing our students’ ability to contribute and succeed inindustry immediately upon graduation. Page 6.753.2Proceedings of the 2001 American Society for Engineering Education Annual Conference & Exposition Copyright 2001, American Society for Engineering Education Fo c u s on in te r- Fo c u s on t e a m s k i lls a n d d is c ip l in a ry d e s ig n p ro je c t ma n a g e me n t E G R 18 6 E G R 2 86 X X X
à Session 3202 Innovative Approaches for Teaching Calculus to Engineering Students Joby M. Anthony, A. Henry Hagedoorn, Bahman S. Motlagh University of Central FloridaAbstractA successful engineering program requires proficient and dynamic mathematics classes to enhance theteaching and learning of complex subject matter. Without a sufficient amount of problem solving andengineering applications, students are left with rather vague concepts regardless of the instructor’seffectiveness. Improving student performance in mathematics classes requires inventive
information needs to be found (or selected):Known information: • Dimensions of enclosure and obstacle. • Robotic kits come with 2 motors, 2 touch-switches, a light sensor, and an IR comm port.Information to find (or select): • Knowledge of environment to be obtained through robot movement. • A path-planning search algorithm (while avoiding obstacles) to find light. • Selection of an open-loop or closed-loop control scheme. • Programming language(s).2) Simplify: The easiest way to simplify the real-time robot code is to not try to learn theenvironment, but simply bounce off the walls and obstacles while looking for the light. Thisinvolves putting the bump switches and light sensor on the front of the robot, and developing asearch
Session 2525 A Way of Doing Engineering Design Srinand S. Karuppoor, Christian P. Burger, Ravinder Chona Department of Mechanical Engineering, Texas A&M UniversityAbstractThe ability to design is the distinguishing characteristic of an engineer. Yet, the process bywhich a design can be created most efficiently and with the highest degree of innovation isseldom taught at American Universities. Recent research at several universities and industriesare increasing our understanding of both the engineering design process as well as effectivemeans for teaching that process. These research
: Wt ⋅ Pd st = ⋅ K o ⋅ K s ⋅ Km ⋅ K B ⋅ K v (1) F⋅Jwhere st = bending stress (psi) Wt = tangential force (lb) Pd = diametral pitch (1/in.) F = face width of tooth (in.) J = geometry factor Ko = overload factor for bending strength Ks = size factor for bending strength Km = load distribution factor for bending strength KB = rim thickness factor Kv = dynamic factor for bending strengthThe bending stress should not exceed the design stress value based on the material selected. sat ⋅ YN
themselves.Accordingly, we adapted an actual problem that a team of engineers had solved previously forthe Federal Aviation Administration (FAA) - the Mode-Select (Mode-S) Enroute Air TrafficControl System. This problem was chosen for the following reasons: • It could be solved in a number of different ways. • It could be described by top-level blocks. • It was a project previously managed and known in detail by the instructor. • It required knowledge of redundancy and reliability to solve the problem.Reliability is a key element in the design of a multiprocessor computer for critical applications.The normal way to achieve the high reliability is to use redundancy techniques. Therefore, inaddition to introducing the basic elements of a computer, the
the early 1900’s, the company lost its competitive edge in the black powder market.Three du Pont grandsons purchased the company and began producing products throughsuccessful synthetic fibers research. A worldwide revolution in materials science research andproduct development began when Dupont researchers invented Nylon in 1938. As new materialswere invented, Dupont opened production facilities all over the world including a nylon fibersplant in Chattanooga, Tennessee supporting the carpet industry in Southeast Tennessee andNorth Georgia1. Page 6.1163.1 Proceedings of the 2001 American Society for Engineering Education Annual
Engineering Education Annual Conference & Exposition Copyright © 2001, American Society for Engineering Education"Figure 3. Timing voltage of 555 astable circuit as generated by Multisim.Bibliography1. A. Ebeling and S. Bistayi, "Wired Degrees Forbes’ 20 top Cyber-U.s," Forbes Magazine, June 16, 1997.2. W. D. Stanley. Operational Amplifiers with Linear Integrated Circuits, 3rd Edition. Columbus, Ohio: Merrill(1994).3. J. R. Hackworth, "A Video-Taped Laboratory in Electrical Power and Machinery." ASEE 2001 AnnualConference Proceedings.JOHN R HACKWORTHJohn R. Hackworth is Program Director for the Electrical Engineering Technology program at Old DominionUniversity. He holds a B. S. Degree in Electrical Engineering Technology
application; in general, the NN’s output predictionimproves as the number of hidden layers and hidden layer neurons are increased.Once the architecture of the NN is determined, the initial neuron weights are randomly chosen. TheNN is then trained by presenting it with many sets of training data where a set consists of a value foreach input and the corresponding desired output(s). From this training data, the NN calculates(learns) the input weights for each neuron so that the NN output closely matches the correspondinginput for each point in the training data. This learning process is an iterative back propagationalgorithm. The learning process is terminated when the NN’s predicted output(s) matches the desiredoutput(s) for each set in the training
associated domain(s), an assessmentplan logically follows. i. Cognitive Domain. The cognitive domain is the one where the student’s cognitive activities are structured. Starting with the knowledge level and ending with the evaluation level of Bloom’s taxonomy, this domain is used to analyze the lab experience of the student. 1 ii. Affective Domain. The affective domain is the one that describes the attitudes of the student toward the subject matter, education, and lab activities. This domain is very important in setting the ground rules for the lab environment. It greatly affects the student performance and education without being clearly visible. 2 iii. Psychomotor Domain
Session 1359 Automated Measurement of Frequency Response of Electrical Networks, Filters and Amplifiers M.G. Guvench, S. Gile and S. Qazi University of Southern MaineAbstract:This paper describes the design, operation and use of a PC controlled automated frequency responsemeasurement system using the standard bench-top test equipment available in undergraduateelectronics laboratories. The system described employs the waveform data acquisition and processingcapabilities of digital oscilloscopes to extract amplitudes (rms or peak), periods, frequencies
Session 1458 Multimedia Web-based Resources for Engineering Education: The Media Design and Assessment Laboratory at UMR Vicki M. Eller, Steve E. Watkins, Richard H. Hall, Joel Balestra, Asha S. Rao University of Missouri-RollaAbstract The design, development, and assessment of web-based multimedia learning resourcesare important aspects of engineering education. The Media Design and Assessment Laboratoryat the University of Missouri-Rolla was established to facilitate the interaction between webdesigners and content providers. It was created under the auspices of the Instructional
." C ou rs e O th e r 15% 27% Tran s port C ou rs e s S e n i or De s i gn C ou rs e 5% 20% In de pe n de n t S tu dy 5% En v. El e cti ve En v.P2 C ou rs e Fre s h m an -Le ve l 10% 10% C ou rs e 8
+ c3 ⋅ EGwhere WGA is the earlier defined weighted grade average, TG is the grade for thesis, EG is thegrade for diploma examination (thesis defense), and ci (i = 1, 2, 3) are weighting coefficients,such that c1 + c2 + c3 = 1 . Then, the values of NFG are "mapped" into non-numerical gradesusing a procedure set up at the institution level.III. Overview of the university-level academic regulationsFor the last 10 years, several changes in the academic regulations that affected the procedure forcalculation of the final grade for the programs have been approved by the Senate of the WarsawUniversity of Technology.According to the regulations being in force in the 80's, the NFG was calculated using theformula: NFG = 0.5 ⋅ WGA
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contents match what’s pictured or described on the cover? If not, how do they differ? • Are the paper clips uniform? How would you describe the quality of this product? • Take out a paper clip and use it (automatically). Note any problems you have in using it. • Now, derive and write out explicit instructions for its use. • What material(s) is your paper clip made of? • What makes a paper clip work? That is, what are the physical principles which explain its function? • Overstretch a paper clip (i.e. open it “too far”) - what happens? Now, try to return it to its undamaged state and use it. What happens? Why? • Take a new paper clip - try to bend it across the (4) wires
here was developed following the PDM process of Wales et al. We also useconcepts of Polya (global steps with specific heuristics; summary on a single page). Details ofthe thinking skills and heuristics were adapted from Wales et al., Woods et al., as well as otherauthors. The unique aspect of our work is presenting a model that is specifically designed forteaching thinking skills in the context of an engineering science course.Basic PDM processThe basic PDM process, summarized in Table 1, is comprised of seven elements. The term Page 6.102.2element identifies a fundamental of good problem solving. The elements in Wales et al.’s model
the use ofprograms that the students write themselves.I. IntroductionThe use of computer applications in engineering practice has grown significantly in the past 15years. At the same time, the nature of computer applications has changed. The mass adoption ofdesktop personal computers and the development of powerful applications for them haveprovided many useful alternatives and/or replacements for traditional mainframe applicationsthat have existed since the mid 1960's. At the same time, the need to understand traditionalanalytical engineering theory and problem solving techniques has not diminished. This presentsa dilemma to for instructors teaching basic sophomore-level engineering mechanics courses.Namely, early introduction to computer
, the company for which they work, their position, etc., you may also want to consider what makes them different from the stereotypes. Therefore, you may want to create questions that will allow you to discover that information. You may also want to note details about their lives outside work, their appearance, and so on.2. During the speaker(s) presentation(s), answer the following:• Name, Company, Position• Years of work/overview of career Page 6.627.4• Physical appearanceProceedings of the 2001 American Society for Engineering Education Annual Conference & Exposition Copyright©2001 American Society for Engineering
Session 2793 Undergraduate Research Using the Finite Difference Time Domain Technique for Electromagnetics José G. Colom Ustáriz, Rafael Rodríguez Solís University of Puerto Rico at MayaguezI. INTRODUCTIONThe Department of Electrical and Computer Engineering (ECE) at the University of Puerto Ricoat Mayaguez offers five-year B. S. degrees in electrical and computer engineering. In addition,M.S. and M.E. degrees are offered in both programs. The Electrical Engineering program has astrong core from which the students receive a broad spectrum of the fundamental
design fromsome engineers who practiced in the 1700’s. Two of these engineers (artists, patriots, etc.),Charles Willson Peale and Thomas Paine, were bridge designers, and another, JohannChristopher Christensen designed and supervised construction of America’s first poweredwaterworks. Engineering student teams at Bucknell have studied these early designs and usedthem as a basis for senior design projects. Based upon their evaluation of the historic designs, theteams produced their own designs of replicas of the early works, and then they built and testedthem. Because of the relative simplicity of the 18th Century designs, students applied engineeringprinciples to them and saw new meaning in the fundamental concepts that they employed. Theyalso