various student comments as reported on SPIE. The main point of writing this paper is to express that the ETW has a very significant and positive impact on this individual attendee. This sentiment is shared and documented by other ExCEEd graduates6 although not in a quantifiable manner directly to classes that are taught. The author teaches classes in a more confident and active manner and believes that students are learning more in class. Students provided comments to aspects of class that are directly attributed to ETW. Responses to specific questions on the SPIE to assess the impact of class components done as a result of ETW are presented in Appendix B. The results in Appendix B are from only one class in the Fall 2004 semester
.)The text in the ABET publication “Criteria for accrediting engineering programs” reads asfollows:“Engineering programs must demonstrate that their graduates have:(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 needs(d) an ability to function on multi-disciplinary teams(e) an ability to identify, formulate, and solve engineering problems(f) an understanding of professional and ethical responsibility(g) an ability to communicate effectively(h) the broad education necessary to understand the impact of engineering solutions in a globaland societal context(i) a
to meeting the aerospace industries workforce development needs, a studentsatellite program provides students with an opportunity to complete “real” engineering projectswhile working on multidisciplinary teams.References Cited 1. http://ssp.arizona.edu/sgsatellites, accessed: January 3, 2005. 2. Wallace, C. 2004, “High Altitude Balloons: Providing a Cost Effective Testbed for CubeSats,” 18th Annual AIAA/USU Conference on Small Satellites, Logan, UT, Aug 8, 2004. 3. Blamont, J., 2001, “History and perspectives of scientific ballooning,” Proceedings of the 15th ESA Symposium on European Rocket and Balloon programmes and Related Research, Biarritz, France, ESA SP-471, 28-31 may 2001, Warmbein, B. (ed
20 10 0 A B C D overall Control Lab Performance Outcome Figure 5. Students showed modest improvement in one experiment. Figure 6 summarizes student performance on a remotely accessed solar energyexperiment conducted in Heat / Power (MET 220) during Fall of 2004. Approximately 75students participated in this preliminary evaluation. The results were even more disturbing thanwith the control lab. Although the overall scores were higher (~ 55% correct), studentperformance decreased approximately 4% between pre and post test. Taken at face value, thisundesirable result suggests that
. The prototype system was tested in 2 of the 10 sections in module 1of the course and 1 section during modules 2 and 3. This is a preliminary assessment of theeffectiveness of the system to handle large, multi-section classes through the use of wireless Page 10.224.3communication. Refero© was implemented to (a) probe student preconception and preexisting Proceedings of the 2005 American Society of Engineering Education Annual Conference & Exposition Copyright © 2005, American Society of Engineering Educationknowledge on specific content, (b) reinforce concepts elucidated in class, (c) increase theenvironment of
AC 2005-223: DEVELOPMENT OF A STANDARDIZED LABORATORY EXAMFOR A MATERIALS AND MANUFACTURING COURSEK. Ted Hartwig,Richard Griffin, Texas A&M University at Qatar Page 10.460.1© American Society for Engineering Education, 2005 Development of a Standardized Laboratory Exam for a Materials and Manufacturing Course Richard B. Griffin, K. Ted Hartwig Mechanical Engineering Texas A&M University College Station, TX 77843Abstract Many courses have a laboratory component. Some fraction of the courses
A HANDY TOOL FOR CONVENIENT ERROR PROPAGATION ANALYSIS: A USER FORM FOR ERROR INFLUENCE COEFFICIENTS Sheldon M. Jeter Georgia Institute of TechnologyINTRODUCTION Complete uncertainty analysis in experimental engineering requires two distinctand complementary calculations. Statistical analysis of repeated measurements is neededto compute the Uncertainty A, which is the uncertainty due to random variation.Complementary physical analysis of the measurement system is also needed to evaluatethe Uncertainty B or the range in possible bias or built in error. The more interesting andimportant applications of Uncertainty B analysis are
based model in computer networking curricula that has its foundationbased upon students’ common conceptual understanding. The B-Node model providessuch a foundation based upon the students’ own perceptions of computer networkperformance 16.A Bandwidth ModelB-Node models are bandwidth centric high level abstractions which are independentof the underlying implementation details of a particular technology 16. The rapid rateof technological change within the field of Computer and Networking Technology(CNT) has given rise to the need to future-proof student learning. This is achieved byomitting details of the underlying technological implementation, which may changerapidly as the technology progresses 17,18. Furthermore additional advantages of
. 2. Analog Modulation. a. Objective: Understanding the common techniques to modulate analog signals and the associated performance metrics. b. Concepts: Amplitude Modulation, Frequency Modulation and Phase Modulation. Modulation Index along with the Bandwidth effects. ( Includes real modulation of recorded voice) 3. Link power budget, noise and its effects a. Objective: Analyze the power and noise in a communication system. b. Concepts: Signal power changes produced by different components of a transmission system. Noise and the Signal-to-Noise-Ratio (SNR). 4. Baseband digital transmission a. Objective: Understand the
relevant basic con-cepts needed in learning the virtual work method, (b) utilize just algebra and geometry (rather Proceedings of the 2005 Midwest Section Conference of the American Society for Engineering Education 2than differential calculus) as the prerequisite mathematics to compute virtual displacements, (c)present three major steps for implementing the virtual work method, and (d ) propose a guidingstrategy in choosing the virtual displacement for determining the specified unknown.II. Relevant Basic ConceptsIn mechanics, a body receives work from a force or a moment that acts on it if it undergoes adisplacement in the direction of
: Page 10.39.1 1. Programming languages a. Knowledge of designing and implementing computer programs using various techniques, such as algorithm development, flowcharts etc. b. Knowledge of at least one procedural programming language. c. Knowledge of at least one objective-oriented programming language (possibly an extension of the procedural language). d. Knowledge of at least one assembly language. 2. Embedded Systems a. Knowledge of programming embedded systems in HLL and assembly. b. Knowledge of designing embedded systems. c. Knowledge of interfacing embedded systems to real-life sensors and actuators. 3. Digital
, present, and future. Frontiers in Education Conference Proceedings, 1996. FIE '96. 26th Annual Conference. 3 vol. Salt Lake City, UT. xl+1517 8. Hardy, Cynthia, Nelson Phillips and Thomas B. Lawrence. “Resources, Knowledge and Influence: The Organizational Effects of Interorganizational Collaboration.” Journal of Management Studies 40:2. March 2003. 321-347. 9. Horgan, Barbara. Cooperation and Competition: Case Studies of Academic Partnerships Using Information Technology. Case Studies, March 1998. 10. Katz, J. Sylvan, Ben R. Martin. What is Research Collaboration? Research Policy 26 (1997( 1-18) 11. Marra, R., Bogue, B. (2004). “The Assessing Women in Engineering (AWE) Project: A Model
matching points in the two images, compute the disparity between the left and right image and calculate the depth [1]. To simplify this case, we used two cameras having the same focal length, mounted at the same height and spaced a fixed distance apart. Therefore, corresponding image points differ only in their x-coordinates as seen in Figure 6 [2]. P(Object)Camera L Z xl xr F B Camera R
Session 3666 A Unified Approach to Piping System Problems B. K. Hodge Mississippi State UniversityAbstractA unified approach to the solution of series, parallel, and network piping system problems isinvestigated. Examples of series, parallel, and network piping system solutions using the unifiedsolution methodology are presented and discussed. Solutions for all piping problems areformulated as a single nonlinear algebraic equation or a system of nonlinear algebraic equationsand a computational software system (Mathcad in this paper) is used for the
and your team is a consulting firm bidding the project.Completion of these project requirements with no errors will earn you a grade of 85% (B/B+).Oral PresentationsIt is anticipated that presentations will last no more than 8 minutes. This corresponds toapproximately 8 slides (not including title slide) at one minute each. Be sure to include anintroduction that describes your town and flows. You should have one slide with your plantlayout on it. The remaining slides should cover preliminary, primary, secondary, and any tertiarytreatment. Your presentation must be submitted to me by 10:00 a.m. on the day your team isscheduled to present (to give me time to load them on the computer).Extra Credit Options1. Design an aerated grit chamber.2
) ASEE Division Chairs via e-mail. Twenty-one (21) responseswere received. The twenty-one responding divisions represent 53% of the papers published in the2004 ASEE Annual Conference Proceedings.Table 1: Peer Review Survey ResultsPercentage of Survey questions and possible responsesresponses 1. Does your division use a masked review process (keep the author(s) identity hidden from the reviewers)?11 62% Yes 38% No 2. The author(s) can identify their peer reviewers 100% a. only if the peer reviewers choose to contact the author(s) outside the process b. by checking other division documentation/postings
Preliminary Results from a “Course-less” Curriculum Study R.L. Kolara, K. Gramoullb, T.R. Rhoadsc, R.C. Knoxa a School of Civil Engineering and Environmental Science b School of Aerospace and Mechanical Engineering c College of Engineering University of Oklahoma Norman, OK 73019 kolar@ou.edu (contact author) ABSTRACTIn 2002, we received an NSF planning grant that builds upon our Sooner City project,which was funded through the Action Agenda program
direction of the force exerted by the roller on the dump at the point of interest? (a) (b) (c) 35º Point of Wdump interest 35º (e) 20º (d) 20º tan-1(0.6) Figure 4. Inventory question addressing force between a roller and the rolled surface
implementation ofthe proposed model-based problem solving strategy. We will discuss an example fromstatics and one from dynamics. Every example will consists of a problem statement and itscorresponding solution.Example from Statics: Equilibrium of a Rigid BodyProblem Statement The rear door of a minivan is hinged at point A and is supportedby two struts; one strut is between points B and C and the second strut is immediatelybehind this on the opposite side of the door. If the door weighs 350 N with center of gravityat point D and it is desired that a 40 N vertical force applied by a person’s hand at point Ewill begin closing the door, determine the force each of the two struts must support and thereactions at the hinge.SolutionRoad Map Although the
in FED not Total ECE mode other mode taken A 10 (17.2%) 41 (15.4%) 129 (14.6%) 180 (14.9%) B+ 6 (10.3%) 28 (10.5%) 95 (10.7%) 129 (10.7%) B 11 (19.0%) 60 (22.6%) 122 (13.8%) 193 (16.0%) C+ 4 (6.9%) 26 (9.8%) 81 (9.2%) 111 (9.2%) C 13 (22.4%) 33 (12.4%) 142 (16.1%) 188 (15.6%) D 4 (6.9%) 26 (9.8
” a R1 ( β1 + β 2 ) + Kτ1 K b1 Kτ 1 Tω ( s ) = where a = , b= , s+b R1 ( J 1 + J 2 ) R1 ( J 1 + J 2 )As with the electrical subsystem, the students then estimated the values for J1 + J 2 and β1 + β 2 fromDC and time constant relationships for a first order system.3.1.3 Speed Model VerificationOnce all the system parameter values were identified, Experiment #3 (i.e., an open-loop speed stepresponse) was reproduced in simulation in order to verify the accuracy of calculated parametervalues. Figure 8 illustrates an example of an acceptable simulated speed response
positioning sensor through variousdigital I/O and analog input ports. The high level design is shown below. At the PDR, thestudents explained their design using this drawing and a detailed drawing for each of the blocks Page 10.950.5 Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright © 2005, American Society for Engineering Educationshown below. Likewise, their high-level software design was described via a high level flowdiagram. S ystem H ard w are B lo ck D iag ram
parts or lines of code through major components andsubsystems to the aircraft system and beyond to the system of systems level. Taking intoaccount all these technical elements and their interfaces, interactions and interdependencies inthe design of an aircraft is a major challenge. The challenge is intensified when one realizes thatmodern aircraft have lifecycles measured in many decades. To cite just two examples from theAppendix, the DC-9 family of aircraft will have been in service with major airlines for 45 yearsand the B-52H with the U.S. Air Force for at least 75 years when they are finally phased out.a Usage of the word “system” or “systems” varies within the field. For some, the plural version refers to the entire
Functions, Trigonometric Functions and Exponential FunctionsL Trigonometric Theorems, Tangent Lines of Circles, Equations of Straight Lines, Quadratic CurvesM Arithmetic Sequences, Differential and Integral CalculusN Surface Vectors, Coordinates in Space, Equations of Lines and Planes, MatricesO Infinite Geometric Series, Limits of Functions, Differentiation, Applications of Differential CalculusP Indefinite Integrals, Definite Integrals and Differential EquationsQ Permutations, Combinations, Binomial Theorem, Statistics Page 10.150.10Appendix B: Typical Kumon worksheet at Level A“Proceedings of the 2005
. Education, 6 (10), 1-2.3. AAUW. (2000). Tech-savvy: Educating girls in the new computer age. Washington, DC: AAUW Educational Foundation.4. Belenkey, M. F. et al. (1986). Women’s ways of knowing. New York: Basic Books.5. Seymour, E. (1999). The role of socialization in shaping the career-related choices of undergraduate women in science, mathematics, and engineering majors. In C.C. Selby (Ed.), Women in science and engineering: Choices for success (pp. 118-126). New York: The New York Academy of Sciences.6. Welty, K., & Puck, B. (2001). Modeling Athena: Preparing young women for citizenship and work in a technological society. University of Wisconsin-Stout.7. Borg, A. (1999). What draws women to and keeps women in computing? In C.C
areincluded in this paper as a reference for completeness.The method has been tested and improved by multiple instructors in Introduction to EngineeringDesign1 classes and Physical Science classes. Both classes are structured around developingquality teams to understand concepts or developing innovative products.Included in this paper is detailed team performance criteria that help teams identify their teamcharacteristics (see Appendix A: TIDEE Team Assessment Criteria), a handout that is given tothe students prior to the meeting (see Appendix B: TIDEE Team Meeting Handout), and detailedimplementation instructions complete with agenda for running the meeting. The package isdeveloped as a turnkey process that can be effectively used by a novice.The
together to identify learning goals, develop newinstructional materials that embody modern theories of learning, and implement appropriateformative and summative assessment plans to monitor our progress and make continuousimprovements. In this paper we identify and organize the knowledge that arose from ourcollaborative process, and discuss the process that emerged as we formed an effectivecommunity of practice.IntroductionWe used the principles of the How People Learn (HPL) framework to guide our instructionaldesign and collaboration1. The HPL framework suggests that an effective learning environmentshould be (a) learner-centered, (b) knowledge-centered, (c) assessment-centered, and (d)community-centered. In this study, we examine how the HPL
elaboration is present. The idea is stated two ways. B) An example is given. C) An analogy is given. D) The series of elements (clauses or sentences) is written in a parallel structure. E) Key terms or phrases are repeated. F) Conjunctions (therefore, however, on the other hand, etc.) are used to show logic. G) Short sentences are used. H) The specific item and general class it belongs to are clearly defined.Clarity detraction I) It is not clear what the pronoun refers too. J) It is not clear what the modifying clause modifies K) The meaning of this statement is not clear. L) The meaning of this statement is
) Program Outcomes ELEC 420 - Spring 2004 Student Survey Instructor's Perception a b c d e f g h i j k l m n Graded Work X X 4.3 3.5Formulate the design specificationApply principles of teamwork in a X 4.6 4.0 4.7
constituencies. One ofthe possibilities that we are considering is to include enough “traditional” topics (statics,mechanics of materials, thermodynamics, etc.) in the program to: a) fully develop a student'sproblem-solving skills, b) satisfy external constituencies (including ABET) that this really is anengineering degree program, and c) enable our graduates to sit for the Fundamentals ofEngineering exam to obtain eventual licensure. We will be working in the coming year to fullydevelop the courses in this innovative new program.Summary and ConclusionsThe Delphi technique for consensus-building was successfully employed in this study to definethe characteristics of an emerging engineering discipline – Service Systems Engineering.Through input from a