starting from the signing of the contract to the final deliveryof the project. Students are grouped in teams representing the consultants, the generalcontractor(s) and the subcontractor(s). The teacher represents the owner(s). During the semesterthe teacher creates situation where the students have to use all their knowledge to solve theproblems. At the end of each activity, the teacher reviews the events with the students andcomments if necessary1. We have been organising this course for the last five years using astandard class room and a computer laboratory for the part of the work involving computersoftware. Recently we decided to design a special laboratory that would be used for this courseand for other project management courses involving
subsequent weekly homeworkassignments, students are required to complete a minimum of one problem per week using EES.This process familiarizes the students with the program before the project(s) start, allowing themto focus more on the optimization process. In addition, the students can start to look at how toanalyze the effects of properties on their system. For example, the students could be required toplot thermal efficiency verses compression ratio for a simple Otto cycle homework problem.Then by the time the first project is introduced, looking at the effect of cycle properties on itsperformance will not be a new concept. When the first project starts, a second class period isspent in the computer lab where students are taught to use parametric
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
Annual Conference & Exposition Copyright Ó 2002, American Society for Engineering Education” · An energy source forces a constant current of 2 A to flow through a light bulb for 10 s. If 2.3 kJ is given off in the form of light and heat energy, the voltage drop across the bulb will be e) 230V f) 115V g) 110V h) None of the above · A stove element draws 15A when connected to a 120 V line. In order to consume an energy of 30 kJ, the connection must last for: i) 33.3 s j) 66.6 s k) 16.67 s l) None of the aboveLevel 2. Problems that require the executing of a basic procedure
of Vermont (UVM) incorporated systems thinking and asystems approach to engineering problem solving within their programs. A systems thinkingapproach regards social, environmental and economic factors as necessary components of theproblem solution. Because it is a whole systems approach it also encompasses sustainability. Wehave integrated systems thinking in the following ways; 1) new material has been included intokey courses (e.g. the first-year introductory and senior design courses), 2) a sequence of threerelated environmental and transportation systems courses have been included within the curricula(i.e., Introduction to Systems, Decision Making, and Modeling), and 3) service-learning (S-L)projects have been integrated into key
implementation. Bibliography1. Vygotsky, L. S. (1978). Mind in Society: The Development of Higher Psychological Processes, Cambridge, MA: Harvard University Press.2. Bell, P., & Davis, E. A. (2000). Designing Mildred: Scaffolding Students’ Reflection and Arguemntation Using a Cognitive Software Guide. In B. Fishman & O’Connor-Divelbiss (Eds.), Fourth International Conference of the Learning Sciences (pp. 142-149). Mahwah, NJ: Erlbaum.3. Linn, M. C. (1995). Designing computer learning environments for engineering and computer science: The scaffolded knowledge integration framework. Journal of Science Education and Technology, 4(2), 103-126.4. Scardamalia, M. (2002). Collective cognitive responsibility
would allow them to learn more about what they know. Professors whileteaching would also be involved in the learning process. All involved would benefit. As one writerput it, “I think mentors should be role models, BUT a role model who hasn't forgotten where s/hecame from, how s/he got to where s/he is now and always looking back to see if s/he can help thosethat came from the very same place.”3 Everyone has had to write and engineering faculty continue tohave to produce text throughout their careers. By taking their own travels through communication asa means to get engineering students to look at their own tasks, a bond can form that allows for theimprovement of student text.ProcedureHow does one approach a situation where the faculty is to
advancedstudents with better working memory capacity 4. An illustrative example is discussed asthe following. A normalized standard deviation is used customarily to represent the GPSsignal S4 index. 2 ∑ (x − x ) x S4 = N ⋅ x2where x denotes the mean, x is the current CNR (Carrier/Noise) value, and N is the totalnumber of samples or the sample window. To simplify the implementation, it would be Page 25.197.5 s-diff[] + = avg*avg - 2*CNRtemp*avg + CNRtemp*CNRtemp; cumsum[] += CNRtemp;where ‘x += y’ means ‘x = x+y’. The cumsum[] is a cumulative sum of the CNR values,divide it
this paper, we describe a scaffolding scheme that helps student managetheir learning during academic semester. In this scheme, students were given a deadline for eachcompetency, instead of having only one end-of-semester deadline for all 8 of their competencies,which is usually the last day of classes. The results show that the proposed time allocation planbetter helped students complete their competencies at the end of the academic semester.1. IntroductionProject-Based Learning (PBL) as well as problem-based learning was first established in themid- 1950’s and has been effectively used in Medical schools 1. It has since been adopted in avariety of educational fields such as Engineering, Science, Business, Education, Law, etc. 2,3,4. Itis
experience in computing improves computing self-efficacy.Universities should obtain this data from students to identify when material should beadded to a course that allows all students to be brought up to speed on their computingskills before launching into STEM-based majors. Future investigations utilizing this toolwill attempt to understand the impact of computing self-efficacy on student performance,i.e. time to complete a task and academic achievement.Bibliography1. Bandura, A. 1995. “Self-Efficacy in Changing Societies.” Cambridge University Press.2. Bandura, A. 1997. “Self-efficacy: The exercise of control.” New York, NY: W.H. Freeman and Company.3. Baker, D., Krause S., and Purzer S. Y. 2008. “Developing an instrument to measure
. Page 25.1023.1 c American Society for Engineering Education, 2012Panel Session –Case Study Teaching in Computing CurriculaMassood Towhidnejad, Salamah Salamah, Thomas HilburnEmbry-Riddle Aeronautical University600 S. Clyde Morris Blvd.Daytona Beach, Fl, 32114towhid@erau.edu, salamahs@erau.edu. hilburn@erau.eduAbstractThe use of case studies is an effective method for introducing real-world professional practices into theclassroom. Case studies have become a proven and pervasive method of teaching about professionalpractice in such fields as business, law, and medicine. Case studies can provide a means to simulatepractice, raise the level of critical thinking skills, enhance listening/cooperative learning skills
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
University, approximately 75 students accessed thesystem 1790 times during fall of 1998. In 1999, 55 students accessed the system 1470 times inspring of 1999 and 100 students 2100 times so far in fall of 1999. The utilization of the system isapproximately 23 times per student per semester and appears to be similar each semester. Thepeaks of its use are observed just around midterms and final exams due to students waiting fortheir grades to be posted before they receive their tests back, or final grades in the mail.Bibliography1. Sweet, W. and Geppert, L., “http:// It has changed everything, especially our engineering thinking,” IEEE Spectrum, January 1997, pp. 23-37.2. Camposano, R.; Deering, S.; DeMicheli, G.; Markov, L.; Mastellone, M.; Newton
, and the Department secretary will be responsible for reminding faculty tocollect the material and will organize and file the materials.Each portfolio is divided into sections. These sections are: • a table of contents • an introductory statement of purpose for the portfolio and an overview of material included • a reflection on or evaluation of portfolio contents and outcome(s) measured by faculty members • student materials.A typical table of contents contains the following sections: introduction and statement ofpurpose, reflection on and evaluation of content, and student materials and summaries ofevaluation forms. Following is a typical introduction and statement of purpose; this example isfrom the
inner product are pre-sented next. To illustrate these concepts, we frequently make use of both the vector space of con-tinuous polynomials over [ , ] with the inner product: 〈 S ( [ ), T ( [ ) 〉 = ∫ S ( [ )T ( [ ) G[ (2.1) and the space of finite-length discrete-time sequences of complex numbers with the inner product: 1– 〈 S [ Q ], T [ Q ]〉 = ∑ S
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
= e j ( ω t −θ ) + e − j (ω t −θ ) Z(j ù ) Z(j ù ) = V Z(j ù ) (e j (ω t −θ ) + e − j (ω t −θ ) ) = Z(j ù ) 2 (e 2V 1 j ( ω t − θ ) + e − j ( ω t − θ ) ) substitute V = m and apply Euler' s Identity V 2 cos (ω t − θ ) Vm = Precisely the same result obtained when solving the
Research StationCooperative Agreement no. PNW 93-0372.ReferencesBergen, S. D., S. M. Bolton and J. L. Fridley. 1997a. Developing an Ecological Engineering Curriculum. In: 1997 Annual Conference Proceedings: American Society for Engineering Education, Washington, DC.Bergen, S. D., S. M. Bolton and J. L. Fridley. 1997b. Ecological Engineering: Design Based on Ecological Principles. Presented at the 1997 ASAE Annual International Meeting. Paper No. 975035. ASAE, 2950 Niles Rd., St. Joseph, MI 49085-9659 USA.Biographical InformationSCOTT BERGEN is a Ph.D. candidate in the forest engineering program at the Univ. of Washington. He received aB.S. in mechanical engineering from Cornell Univ. and an M.S. in forest engineering from the
. While some professors prefer that thestudents come up with possible solutions for a project at the early stage of the course andwork on improving those solutions throughout the rest of the quarter, other professors preferthat the students tackle the project theme first without considering what the solutions mightbe. Instead of generating solution first and then later trying to improve the solution so that itwill meet the specifications that are set after the solution is generated, other professors preferto clarify the goals and requirements before generating solutions that will satisfy these speci-fications. Hence even though the outcome of both processes are basically the same, generat-ing solution(s) for problem(s) or need(s), the steps that
Conference, Oct. 24-26, 97, Madison3. Barr, R. (1997), Planning the Engineering Design Curriculum for the 21st Century, 1997 ASEE/EDGD Mid- Year Conference, Oct. 24-26, 97, Madison4. Bertoline, G.R., et al., Technical Graphics Communication, McGraw-Hill Companies, 19975. Gorska, R.A., Computer Engineering Graphics Course Curriculum and Realization, PSG&G Journal, 19976. Gorska, R., Sorby, S., Gender Differences in Visualization Skills – An International Perspective, 1997 ASEE/EDGD Mid-Year Conference, Oct. 24-26, 97, Madison7. Juricic, D., New Developments in Engineering Design Graphics EDG with a CAD/CAM Component, Proceedings of the 7th ICECGDG, Cracow, 18-22 July 1996, pp.318-3228. Leopold, C., Sorby S., Gorska, R
graphics represents both the tools and practices which are being used in industryand research. This paper outlines the current revolution in manufacturing and design informationmanagement and how the engineering graphics curriculum might respond to it.Engineering graphics technology is currently undergoing changes much more profound than themovement to 2-dimensional (2-D) CAD in the 1980’s. Though there has been some utilization of3-dimensional (3-D) modeling software since the early 1990’s 1, 2, the technology was still beingused primarily as a vehicle for the static documentation of individual parts. For example, reviewof the original syllabus of North Carolina State’s solid modeling course (circa 1989) shows thatone third the semester was spent
technologylife cycle model using Graedel and Allenby’s Design for Environment text [4]. First, we discussthe impact of the industrial revolution on the earth’s environment in the R&D module. Weintroduce for both products and processes, the concepts of material flow; the master equationdescribing the impact on the environment in terms of industrial and economic activity andpopulation; and life cycle. We discuss these topics in relation to the technology S-curve and thepressure on companies to improve their environmental performance. Then, students are asked toconsider how a corporation can use R&D to position itself for improved environmentalperformance through the development of new “cleaner” technologies. By design, we leverage theeffort
point, ultimate strength (see Appendix C) Page 3.355.410 Tinius Olsen S-400-2A which is an English units extensometer with a highest strain magnification of 400 (in./in.).This averaging (A) type measuring system (i.e. Knife edges are opposite sides of the specimen) also has a gaugelength of 2 inched. In addition , a strain conditioner (Model HSC) is used in conjuction with the extensometer. Thestrain conditioner is capable of four settings 1:1, 2:1, 4:1, 10:1 for the S-400-2A extensometer. (See appendix D)11 Tinius Olsen Instruction Pamphlet No. 3a, S-type and SM-type Electronic Extensometers.12 The extensometer must be
newly established laboratory, thestudents get acquainted with the high frequency components, computer-aided design, fabricationand testing of high frequency circuits using both distributed and lumped elements.5.0 Laboratory Experiments To give students some design experience, several laboratory experiments have beendeveloped. Following is a partial listing and description of the laboratory experiments.5.1 RF and Microwave Amplifier Design Today’s wireless and satellite communication systems require very tight amplifierspecifications especially with regard to noise figure, linearity, and distortion. The vector networkanalyzer and the spectrum analyzer are used to measure the amplifier S-parameters as well asgain, reflection
instruction "on a budget". Page 2.161.1Course ChronologyFortran - the Early YearsInstruction in Digital Signal Processing at UPJ was initiated in 1987. Then, as now, equipmentbudgets were less than extravagant. The expenditure of scarce resources to support a new course,whose success was not established, was not viewed as prudent. A decision was made to proceedwith the initiation of a lecture based course which would be supported by software basedpractical exercises.The computing environment at Pitt in the late 1980's was centered on a time-shared system. TheUniversity operated a cluster of several Digital Equipment VAX processors. These wereavailable
6027.6 19809.4 99372.5 3266633 14 132062 0 0 150000 19809.4 849999 112252.6 Page 2.207.7 Table 2Basis of Design & Unit SizeJRB&E INC.Inflow Flow Rate1. 10.8 MGD or 90,072,000 lb.’s/d2. 250 mg/l BOD-53. 250 mg/l Suspended SolidsEffluent Components1. 3.44 mg/l of BOD-52. 15 mg/l of Suspended SolidsPrimary Sedimentation Tank. 1 Unit1. Suspended Solids Removal - 40%2. Biological Oxygen Demand Removal - 25%3. Settled Solids Concentration - 4%4. Detention Time - 4 hours .5. Overflow Rate - 16m^3 / d-m^2Dimensions1. Length - 90 m2. Width - 22.53. Depth - 3.37 mPrimary
3 1 3 1 19 1 1 4 1 A verage 3 .6 8 7 5 2 .1 8 7 5 2.62 5 2 .2 5 3.05 26 3 1.15 78 9 3.31 57 9 1.42 10 5 S td . D e v . 2 .4 8 4 3 8 1.10 93 8 1.78 12 5 1 .5 6 2 5 0.90 85 9 0.86 42 7 1 .4 9 0 3 0.99 72 3 S ig n if ic a n t t= 2 . a t 9 6 . 5 % t= . 6 a t 4 7 % t= 6 . 5a t 9 9 % t= 4 at 9 9 .9 % Northern Kentucky
in a concise manner what is important to this subject. Demands of these reports enhanced their cognitive, affective and psychomotor skills.AcknowledgementsThe author wants to acknowledge the courtesy of the following companies who helped bysupplying their training c.d.’s and web-based CBT, that proved to be exhilarating and greatsource of inspiration, entertainment and skills development for the students:Solidworks, SDRC-I-DEAS, Pro-Engineer, Unigraphics, Catia, Autodesk, CadkeyReferences:Knowles, M. S. (1980) The modern practice of adult education: From pedagogy to Andragogy.(2nd ed.) Chicago. Association/Follet.Knowles, M. S. (1984) Andragogy in action: Applying modern principles of adult learning. SanFrancisco, Jossey Bass.Elias J