the systematic pursuit of improvement in thequality of engineering education that satisfies the needs of constituencies in a dynamic andcompetitive environment. Although institutions may use different terminology, for purposes ofCriterion 3, program outcomes are statements that describe what students are expected to knowand be able to do by the time of graduation. These relate to the skills, knowledge, and behaviorsthat student acquire in their matriculation through the program. For the purpose of accreditation,engineering programs must demonstrate that their students attain:(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
process sequentially, it is possibleto simulate the action of vector addition much more effectively than any textbook can. Figure 1shows a series of PowerPoint frames in such an animation. Vector Operations Vector Operations Addition Using Parallelogram Law Addition Using Parallelogram Law A A B Vector Operations Vector Operations Addition Using Parallelogram Law Addition Using Parallelogram Law A
information is provided: • All pipe sizes and materials • Flow rates coming in or out at points A and B, as shown in the figure Qa = 4 ft3/s A 2 C Q2 Q1 Q3 1 3 B Qb=1 ft3/s Page 11.1386.2 Figure 1. Analysis of a Simple NetworkThe problem has three unknowns, and to solve for them, three independent equations are
" Sheet.Range("A:A").ColumnWidth = 20 Dim Days As Integer Try Client.Connect(("127.0.0.1"), 7000) Dim Stream As NetworkStream = Client.GetStream() Dim w As New BinaryWriter(Stream) Dim r As New BinaryReader(Stream) Dim LoopTime As TimeSpan Dim InitialTime As Date Dim Astring As String Dim waitspan As TimeSpan = TimeSpan.FromSeconds(60) For i = 1 To 5 w.Write("Send") Astring = r.ReadString() Sheet.Range("A" & i + 1).Value = DateTime.Now Sheet.Range("B" & i + 1).Value = Astring InitialTime = DateTime.Now Do LoopTime = DateTime.Now.Subtract(InitialTime) Loop Until LoopTime.Ticks > waitspan.Ticks Next TextBox1.Text = Astring w.Write("Stop") Client.Close() Catch
combines the power of Visual Basic,in the ease of calculation, and Excel, in the ease of data plotting. Exposure to this tool exposurein introductory engineering physics is very important for shaping students’ mindset for advancedcourses.II-B Parallel programmingLabVIEW is a parallel programming language. All the diagrams are executed together and acomponent starts execution only when the data for it is ready. A virtual instrument for asituation with several thermal emitters is used for demonstration. Three thermal emitters arerepresented by three diagrams and each diagram executes independently. The graphical blockdiagram is displayed below. Page
• Jim McDonald, Monmouth University • Massood Towhid Nejad, Embry-Riddle Aeronautical University (Florida) References1. ABET Engineering Accreditation Commission. Criteria for Accrediting Engineering Programs, ABET, Inc., Baltimore, Maryland, USA, 17 November 2004. Page 11.1325.72. Ardis, Mark A. and Ford, Gary A., 1989 SEI Report on Graduate Software Engineering Education, Carnegie Mellon TR CMU/SEI-89-TR-21, June 1989.3. Bagert, Donald J.; Hilburn, Thomas B.; Hislop, Greg; Lutz, Michael; McCracken, Michael and Mengel, Susan., Guidelines for Software Engineering
Company, Making the Right Choices. Portland: Society of Manufacturing Engineers.23. Kohnen, J.B. “What is Six Sigma Process Management?,” Quality Management Journal, Volume 13, Issue 1, (2006), pp. 6024. Kubiszyn, T. & Borich, G., (2003), Educational Testing and Measurement. New Jersey: John Wiley & Sons.25. Larson, A. (2003). Demystifying Six Sigma. A Company-Wide Approach to continuous Improvement. New York: AMACON.26. Liker, J.K. (1998). Becoming Lean. Portland: Productivity Press.27. Pande, P.S., Neuman, R.P., Cavanagh, R.R. (2000), The Six Sigma Way, How GE Motorola, and Other Top Companies are Honing Their Performance. New York: Mc Graw Hill.28. Pavnaskar, S. J., Gershenson, J. K. & Jambekar, A. B
awarded B. A. and Ph. D. degrees in chemistry from Williams College and Duke University, respectively. His experience with polymers and other materials dates from six years spent at the Camille Dreyfus Laboratory at the Research Triangle Park. Crist has been at Northwestern for over thirty years, with joint appointments in the department of Materials Science and Engineering and the department of Chemical and Biological Engineering. Research activities have focused on polymer solids and blends, reported in more than 100 publications. Page 11.1387.1© American Society for Engineering Education, 2006
the software developmentenvironment or platform. Integrated development environments (IDE) have come a longway from their terminal-based assembler or compiler origin. The major compilerdevelopment houses have settled on a semi-standard layout and philosophy of their IDE's.Excellent examples are Visual C++ from Microsoft3 and the IAR compiler family4, verysimilar to the layout shown in Figure 1. These B A C Figure 1: Typical IDEThese IDE's are project-based, showing sources (region A in Figure 1), source filedependencies (region B), and status reports (region C) among other information in a mainwindow
to the basics of flights simulation equations ofmotion and numerical integration. This program may only involve the longitudinal degrees offreedom (pitch, speed and altitude). In the program the Euler angle pitch rate is integrated to getpitch angle. But students are introduced to the quaternion method used in full flight simulatorswhich avoids the singularity at 90 degrees of pitch. Please see Appendix A for an example of astudent written program. In contrast, the flight model in the EFS is “industrial strength”.2 Use of Engineering Flight SimulatorThe Parks College Engineering Flight Simulator is used in a variety of ways a) to give AE students some “flight” experience, albeit simulated flight b) to provide a platform on which AE
of our work is to provide a server side system that can communicate withlaboratory instruments and mechanical devices so that Internet based robotics andautomation can be remotely controlled on the client side. The experimental setupincludes the following items: Yamaha SCARA robot, RCX40 robot controller withoptional on-board Ethernet card, Yamaha I/O checker, DLink DCS-5300, HP m1050ePCs, and Allen Bradley PLC 1756 Series. The system also consists of power supplies,DC motors, fans, buzzers, limit switches, relays, and lights. The RCX40 controller can beconnected to the Ethernet and controlled using a PC/Server. A web-camera is used forconstantly viewing the robot movement. (a) (b
following: 1. Let Y = X + 3 . a. Determine the pdf of Y if X is a uniformly distributed random variable with 1 0 ≤ x ≤ 1 f X (x ) = . 0 otherwise Sketch f X ( x ) and fY ( y ) . b. What is E ( X ) , the expected value of X? What is the variance of X? c. What is E (Y ) ? What is the variance of Y? 2. Let Y = 5 X + 1 . a. Determine the pdf of Y if X is a uniformly distributed random variable with 2 x 0 ≤ x ≤ 1 f X (x ) = . 0 otherwise Sketch f X ( x ) and fY ( y
6 . L e a rn in g a s m e m o r iz in g in ta c t L e a r n i n g a s c o n s tr u c t i n g a n d u n d e r s t a n d i n g k n o w le d g e I V . U s e f u ln e ss o f M a th e m a tic s F a ll: 5 .3 4 S p r in g : 4 .7 1 7 . M a th e m a tic s a s a s c h o o l s u b je c t w ith M a th e m a tic s a s a u s e fu l e n d e a v o r little v a lu e in e v e ry d a y life o r fu tu re w o rkFor example, with respect to Dimension 1: The Nature of Mathematical Knowledge -Composition of Mathematical Knowledge, a response of 1 indicates that a student feels thatmathematical knowledge
without any previous programming experience also had difficulties programmingwhile loops, as well as in understanding how MATLAB interprets an expression like A(b)when A is a MATLAB function or a matrix, and b is a variable or an index. Most of thosestudents had also difficulties interpreting the error messages and debugging their code.Audience Analysis: Students Interest and DemographicsFor the first offering, the Fall 04 tutorials, the number of students in attendance had a peak at 45and decreased as the semester progressed. Not surprisingly, there was a clear peak inattendance at the tutorial and office hours when homework involving MATLAB was due in oneof their 'for credit' courses, such as Control Theory or Thermodynamics. For example
for Engineering and Technology (ABET) 2005 accreditation criteria,elevating the role of global, environmental, sustainability, society, ethical, health and safetyissues in engineering programs4. These engineers, working together across the disciplines, willhopefully bring about a sustainable world economy. Page 11.379.2 Paper submission to ASEE 2006 meeting L. Vanasupa, B. London, K.C. Chen, R. SavageAccording to the World Health Organization’s Millenium Ecosystem Assessment, roughly 60%of
between entities and could be characterized as existence constraints.The future of this work will be to examine other types of constraints such as cardinalityconstraints, attribute value constraints, polymorphic constraints and temporal constraints.References[1] The Business Rules Group, “Defining Business Rules – What Are They Really?”, February, 2006, http:www.BusinessRulesGroup.org /first_paper/br01c0.htm[2] Perkins, “Business Rules = Meta Data”, The proceedings of the: Technology of Object-Oriented Languages and Systems, IEEE, 2000.[3] J. A. Hoffer, M. B. Prescott and F. R. McFadden, “Modern Database Management”, Seventh Edition, Prentice Hall, 2005
vastness of the information universe, a piece of data they find in Perry’s could, inall likelihood, be found somewhere else, but that other source will not have the authority thatPerry’s has, and that is why, as future chemical engineers, they must know about these sources. The assignment below is given to students following the library presentation. Typicallythey are given 2-3 weeks to complete it. CHE 205 Library Assignment1. Select a chemical substance from Table B.1 in your textbook that begins with the same letteras your first name or the nearest possible letter (for example Andy -> Aniline). Find and reportthe following data for this substance in references other than the course text or CD, and
Reflective Learning1. Interviews 1. Split the team into 2 pairs of 2 people, • Interviews (Y)2. Group Meetings subgroups “A” and “B”… • Group Meetings (Y): XXX met3. Brainstorming 2. Subgroup A should read Domain with the customer and his4. Storyboarding Description 1 and formulate interview team...This method proved to5. Ethnography methods and questions. be more useful to the customers6. Questionnaires than the analyst, allowing them7. Domain research 3. Subgroup B assigns 1 person the role “User” to organize their
overthe course of the semester. Because the first project was guided and straightforward, whereas thesecond was industry-sponsored and much more open-ended, it was expected that tolerance forambiguity would have a greater impact on the variables measured for the second project. In otherwords, the personality trait of tolerance for ambiguity was proposed to be more relevant whenthe project demands involved a higher degree of uncertainty and abstractness. Specifically, thefollowing hypotheses were proposed:(1). Individuals with higher tolerance for ambiguity will report higher levels of: a. self-efficacy, b. collective efficacy, c. satisfaction with the team, and d. conflict resolution.(2). Task ambiguity will impact the
interaction make it feasible to develop a desktop simulator for the aircraft inspectiontasks. The current hardware used to develop the simulator (Figure 1) consists of a Dual Xeonprocessor machine with GeForce 6800 video card and 1 GB of RAM, all for a total cost of lessthan $3000. a. HMD and 6DoF mouse b. HMD optics c. Touch screen WindowVR Page 11.166.4 Figure 1: Hardware used to develop and test the simulatorsThe first aircraft inspection simulator developed at Clemson University was called AutomatedSystem of Self Instruction for Specialized Training (ASSIST). The simulator consisted of 2Dinterfaces
. Page 11.1213.4 Figure 1 Lab Staff Meeting Agenda ME 412 Heat Transfer Laboratory TA Meeting 3/10/03 Agenda1. Lab Problems or issues2. Attendance: Heat Exchanger – NONE, Conduction - NONE3. Conduction Experiment a. Review4. Heat Exchanger Experiment a. Review5. Radiation Experiment a. Lecture b. Proposal and Scheduling c. Reporting d. Grading6. Power Plant Simulation a. Lecture b. Rankine Program c. Grading7. Power Plant Tour a. Schedule8. Other Business Page 11.1213.5 Figure
Page 11.502.9differential cube (Von Mises stress u ' = 10.6).Fig. 4 Differential cube and the state-of-stress at a point depicted in a medieval motif.Bibliography[1] Timoshenko, S. P., History of Strength of Materials, McGraw-Hill, 1953.[2] Mohr, C. O., “uber die Darstellung des Spannungszustandes und des Deformation szustandes eines Korperelementes,” Zivilingenieur, 1882.[3] Mohr, C. O., Abhandlungen aus dem Gebiete der technischen Mechanik, Wilhelm Ernst and Son, Berlin, 1906.[4] Beer, F. P., E. R. Johnston, and J. T. DeWolf, Mechanics of Materials, 4th Edition, McGraw-Hill, New York, 2006.[5] Shigley, J. E., C. R. Mischke, and R. G. Budynas, Mechanical Engineering Design, 7th Edition, McGraw-Hill, New York, 2004.[6] Jeremic, B
piFigure 1.Bibliography1. Kolb. D. and Fry, R. (1975). Toward an applied theory of experiential learning, in C. Cooper (ed.) Theories of Group Process, London: John Wiley.2. Cain, J., Cummings, M., and Stanchfield, J. (2005). A Teachable Moment. Kendall Hunt Publishing.3. Almonte Paul, Dorell, Hafflin et. al. Service Learning at Salt Lake Community College, A Faculty Handbook.4. Senge, P., Jaworski, J., Scharmer, C. and Flowers, B. (2005). Presence: A Profound Change in People, Organizations and Society. Doubleday Currency Publishing. New York.5. Kirkman, D. and Rosen, B. (1999). Beyond self-management: antecedents and consequences of team empowerment. Academy of Management Journal. 42: 58-75.6. Manz, C. and Simms, H. (2001
∂v ∂i = − L' − R' i ∂z ∂t (1) ∂i ∂v = −C' − G' v ∂z ∂twhere L’, C’, R’ and G’ are respectively the inductance, capacitance, resistance and conductanceper unit length. The boundary conditions are v g ( t ) − A[ i( − L ,t )] = v( − L ,t ) (2) v( 0 ,t ) = B [ i( 0 ,t )]where A[.] and B[.] are respectively linear integro-differential time domain operators. It is alsoassumed that the initial functions for voltage v(z,0) and current i(z,0) are known functions of
confidence after the class are assessed.Some of the assessment questions that were given to students with respect to the quality of theclass/lab are listed below. a. Rate the instructor’s overall teaching effectiveness b. Rate the overall quality of this course c. Was the grading system for the course explained d. The instructor seemed well prepared for the class e. The instructor promoted an atmosphere conductive to work and learning Page 11.860.8 f. Was there agreement between announced course objectives and what was taught? g. How well did examination questions reflect content and emphasis of the course?The results
approach. McGraw-Hill, New York, NY.De Groot, S.R. and P. Mazur. 1984. Non equilibrium thermodynamics. Dover Publications, Inc. New York, NY.Fath, B.D., S. E. Jørgensenb, B. C. Pattenc and M. Stra kraba.2004. Ecosystem growth and development. Biosystems 77(1-3): 213-228.Gattie, D.K., E.W. Tollner and T.L. Foutz. 2005. Network environ analysis: a mathematical basis for describing indirect effects in ecosystems. Transactions of ASAE 48(4): 1645-1652.Hippe, P.W. 1983. Environ analysis of linear compartmental systems: the dynamic, time- invariant case. Ecol. Model. 19:1-26.Jorgensen, S.E. 2001. A tentative fourth law of thermodynamics. (IN Thermodynamics and ecological modeling, Ed. By S.E. Jorgensen), Lewis
as the curriculum design tool. The subjects shown in Table 1 are teachers and students at three high schools in Genesee County, Michigan, which is the service area for MCC, and these schools participate in articulation agreements with the DET department at MCC. All three of the high school classes chosen for this study have similar descriptions and require similar experience and prerequisite skills. Although, shown in Figure 1 the students from School C, who make up about 40% of the comparison group, have not had any previous drafting background, where students from Schools A and B have had at least one year of drafting experience. The instructors are vocationally certified
” the use did not serve as a prior art reference since the use was experimental and used to further refine the materials considered.)4 35 U.S.C. § 102(a).5 See Gerald McClain, “Inventor's Logbook 16 Suggestions for Keeping a Proper Logbook,” available at http://www.library.okstate.edu//patents/logbook.htm (visited Jan. 10, 2006).6 35 U.S.C. § 102(b). (“A person shall be entitled to a patent unless … the invention was patented or described in a printed publication in this or a foreign country or in public use or on sale in this country, more than one year prior to the date of the application for patent in the United State ….”)7 35 U.S.C. § 103.8 35 U.S.C. § 103(b).9 See phosita ::: an intellectual property law blog
manner helps reduce thepossibility of changes and deviations escalating to contract disputes. The reportingsystem can be developed in Microsoft PowerPoint for easy authoring and maintenance,and the WBS can be saved as a template for repeated use in similar projects. Page 11.942.7Bibliography1 - Cole, L.J.R., Construction Scheduling: Principles, Practices, and Six Case Studies, Journal ofConstruction Engineering and Management. Vol. 117, Issue 4, Dec. 19912 – El-Bibany, H., Parametric Constraint Management in Planning and Scheduling: Computational Basis,Journal of Construction Engineering and Management. Vol. 123, Issue 3, Sept. 19973 - Senior, B., and
bandwidth of 1000 Hz. The input range was set to its maximum value. Which of the following statements is most correct? a. The signal has an aliasing error b. The signal has a DC(+) offset c. The signal has a DC(-) offset d. The signal has quantization error e. a and b f. a and c g. c and d h. b and c i. b and dThe answer to this question is "g.", the signal suffers from quantization error are as well ashaving a negative DC offset. The answers to this question were compiled for both Group 2,those who performed the online laboratory experiment, and Group 3 those who did not see thisexperiment. Their answers are shown in Figure 6