of Uncertaintyin Measurements (GUM).(1) The macro incorporates basic programming methods of loops,logical statements, input and output, user functions and subroutines. Students finish the coursewith a deeper understanding and appreciation of their responsibility for reporting reliability ofresults in terms of uncertainty. They also move on equipped with tools for simplifying the Proceedings of the 2011 North Midwest Section Conferenceimplementation of uncertainty analysis for most situations they will encounter in theirundergraduate experience.Recipe for Basic Uncertainty AnalysisIn an interactive lecture, we derive the well-known principles of uncertainty analysis from Taylorseries analysis.(2) We also present case
with thecapabilities and use of the ANSYS software. Students were expected to perform varioustutorials available on the ANSYS Customer Portal5 and at Cornell Uni e i SimCafe eb i e6and present a summary of the techniques and tools that they learned about in each tutorial. Theywere also prompted to access materials appropriate to their individual project from the ANSYSCustomer Portal5 and Resource Library7. Several lab sessions where used to review meshingincluding structured and unstructured meshes. Figure 1 shows examples used in the lab of anunstructured mesh (Fig. 1a) and a structured mesh (Fig. 1b) for axisymmetric flow over acylinder. Proceedings of the 2011 North Midwest Section ConferenceThe coursework
the sophomore course, s de ad ee e the equations arose from physics and chemistry, so they lacked physical insight into what physical parameters might cause equations to become numerically challenging Some students, especially those less skilled at programming, were more challenged in perceiving the logic of the numerical methods, Some students expressed frustration at the perception that this course was a high hurdle to clear to enter the chemical engineering principles courses. Mounting challenge: La e 90 , needed to add 1 credit to absorb the Freshman Fortran programming course, which would no longer be taught
; another responsibility is the implementation of continuous processimprovement by improving the experiments and their descriptions. This has been the sameperson since the course s inception; it was first run in 2003. It was developed from an electivelecture-only course that this individual gave in 2000; it was found that particle technology is arich subject for class-demonstrations and the experiments to be described grew out of these. Theapparatus for the experiments was constructed with readily available components and simplebench-top or hand tools; no machine-shop work was required. Two texts have been used over the history of the course, viz. Introduction to ParticleTechnology (1) and Fundamentals of Particle Technology (2). The latter one is
, and is aLEED certified building designed with an emphasis on sustainable use. A notableelement of the high bay lab area, shown in Figure 1, is the 15 ton gantry crane. Thiscrane is located on a structural strong floor, and is used in research projects, materialstesting and teaching.A schematic drawing, taken from the preliminary construction drawings for the buildingproject, is shown in Figure 2. Although there are many exposed structural elements inthe building to choose from, the gantry crane is a "stand-alone" structure, not connectedto other structural elements except for the floor supports. The floor support reactions arecalculated as part of the project. The statically indeterminate frame is a commonlyanalyzed type of structure in the
containing only conventionalnumerical calculation type questions.Introduction Learning is a constructive process in which new knowledge builds upon priorknowledge.1, 2 It is for this reason that there is increased interest in inductive instructionalmethods like inquiry-based learning, problem-based learning, and just-in-time teaching to namea few. A common feature of these inductive methods is that questions or problems form thecontext for learning.3 Thus, formative assessments based on questions/problems can play afundamentally important role in student learning. The degree to which homework/activity questions impact student learning can beevaluated by considering them relative to Bloom s taxonom . In order of increasing
of Wisconsin System is a thorough oneincluding such aspects as a background of the need for the program (from regional, state and nationalperspectives), a description of how the program s with other programs in the system, description ofpersonnel and equipment needs, budgetary items, enrollment and staffing projections, and a detaileddescription of the curriculum. The original curriculum sheet is shown in Figure 1, and has proved to bea faithful guide as the program has unfolded.One of the unique aspects of most Computer Engineering programs is that they are a wonderful blend a c ( c C Sc c c c a a a a , Da a S c ,C O a a , c.) a a a
) innovators. 1 The report produced three keystone recommendations. First was to provide opportunitiesfor excellence. The focus of this effort will be inspire and develop each students abilities in thea ea f STEM, b f a a d f a e d . T e B a d ec e da de c ded e e a e NSF Broader Impacts Criterion to encourage large-scale, sustainedpartnerships among higher education institutions, museums, industry, content developers andproviders, research laboratories and centers, and elementary, middle, and high schools to deploy e Na c e ce a e a a e a e STEM a . 2 Another key recommendation was to cast a wide net, working with multiple grade levelsand
including limited resource availability and accreditation issues.IntroductionThe American Society of Mechanical Engineers (ASME)1 is the lead society which provides aninterface between employers who hire mechanical engineers and academic institutions thatproduce them. Each year ASME sponsors the International Mechanical Engineering EducationConference to which industry representatives, mechanical engineering department heads, andengineering deans are invited. This paper is based primarily on information gathered during andafter the 2011 Mechanical Engineering Education Conference.The primary goal of the conference was to review, discuss, and revise a draft of the documentVision 2030: Creating the Future of Mechanical Engineering Education2. The
andPerforming Arts, Business, and Cognitive and Learning Sciences. Responses are provided onlyfor applicants who indicated both gender and type of position (SFHI or replacement hire) forwhich the application was made. As shown in Table 1, the information from over 1,400applicant survey responses was evaluated. It is important to note that the data for the 2008-09academic year represents the full complement of SFHI applicants but only three of thereplacement searches (from two academic units) due to being administered relatively late in theyear. As the department replacement hire data contains far fewer responses, detailedcomparisons between the SFHI and replacement hire responses were not conducted for this firstyear. Some of the questions for the 2009
Learning Through Service: Student Motivations Authors: Kristine Guzak, Ph.D. Student; Kurt Paterson, Ph.D., P.E.1. BackgroundOver the last few years, concerns have escalated among many national organizations thattechnical expertise is no longer solely sufficient for the development of futureengineers.1-5 Additionally, in the United States engineering programs continue to struggleto attract students, especially women and minorities, despite decades of strategies tochange these patterns.6-9 Independent of these challenges, students have rapidly createdextracurricular service efforts, of considerable note is the quick emergence of EngineersWithout Borders chapters at more than 200 universities within eight years.10
taught. This is a brilliant way of getting the science, engineering and math students toread their books before they show up for class. Figure 1 shows an example of a readingassignment in class ENGR221 at the University of St-Thomas. Often just three questionsin Blackboard as a form of assignment are enough to know that the student have read thematerial and the last question always demands them to think of what was the mostdifficult for them in what they read. The answers are returned in your grading center as anew column with the points that you allocated for each student. You can then leave thema note and respond to their questions. You can define how many points per assignmentthat you will allow and fit to attain your total of 100% in your
in 3 / 4 of the cases. Thisthen provides a teachable moment – a vulnerable time when they may really listen to advice. Iwill also tell them what sort of punishment I am considering – zero for the project, shared pointsfor a group effort, or something else that is appropriate. In the other 1 / 4 cases they usually saynothing – neither admitting nor denying. These are much more difficult as they know how thesystem works and abuse it. There does not seem to be a teachable moment with these students, soI simply explain what my punishment will be and ask if they understand.Bibliography 1. CIP. (1996). Virtual Academic Integrity Laboratory. Retrieved August 10, 2011, from Academic Integrity and Plagiarism in the Classroom: An Overview
, student perception ofengineering may be a significant limiting factor in the enrollment of future engineering students,especially high school students who might feel that they are not intelligent enough to become 5engineers. As an example, a 2009 survey (Figure 1) of Hibbing High School graduates,courses and concepts perceived to be difficult and the perceived inability to pursue engineeringcomprised more than a third of the deficit in student engineering enrollment. Why 2009 HHS Seniors Are Not Enrolling in Engineering No Interest Math Involved Lack the Ability/Interest Female inability
Student Attitudes on a Collaborative Undergraduate Engineering Program between the USA and China Lisa Anneberg1, Jiao Luo 2and Suyun Luo3 Department of Electrical and Computer Engineering, Lawrence Technological University, 1 Department of Automotive Engineering, Shanghai University of Engineering Science, 2-3AbstractToday, the globalization of higher education is an important major development of higher education.Shanghai University of Engineering Science [SUES] and Lawrence Technological University [LTU, ofSouthfield, MI] have had a multifaceted academic collaboration since 2003. Fifteen Americanengineering faculty and 1200 Chinese engineering undergraduate students have participated in theevolving
research use, it often has had a laboratory component. Thechallenge in the first graduate course is to review and build enough of a foundation to launch thestudent into product design and research and to wet his or her appetite for advanced study.IntroductionA half century ago the first course at the graduate level in electromagnetic theory commonly wasbased on a textbook such as Plonsey and Collin.1 The course strongly emphasized Ma eequations and their analytical solution with applications to open- and closed-structures. In manyrespects the course outline followed that of its undergraduate cousin, but at the graduate levelvirtually every topic was approached with increased mathematical rigor. This theoreticalemphasis was especially strong in the
course. Knowledge of computingand software engineering is important to all engineering disciplines as well as other STEMstudents. The US Bureau of Labor Statistics reports that 71% of all new STEM jobs will becomputing related5. In addition the author believes that developing software is a goodexperience for any student engineer, in that it can help develop mature process developmentskills that are useful for all engineers. The problem is that it is difficult to teach students toprogram, let alone develop a project, in just two weeks. Proceedings of the 2011 North Midwest Section ConferenceFigure 1: Projection of STEM and Computing job growth through 20185In the past four semesters and two summers the software
such as RAM memory, special-purpose logic (e.g.multipliers), and input/output circuitry, but the core logic blocks are the topic of interest here.Large digital systems are assembled by connecting logic block inputs and outputs via aprogrammable interconnection network within the FPGA.Figure 1 shows a very simplified logic block in a typical FPGA. The logic block receives ninputs from the interconnection network in the FPGA and supplies its output to that network foruse elsewhere. At the heart of the logic block is a RAM-based look-up table that generates thecombinational function to be implemented in that logic block. The look-up table simply storesthe truth table for the function to be implemented, and is programmed when the FPGA isconfigured
tocover the various topics concisely.Project goals and objectivesGoals: 1. Develop an understanding and appreciation of how the building envelope affects the heating and cooling load, thus affecting the mechanical systems. Proceedings of the 2011 North Midwest Section Conference 2. Gain an understanding of how renewable technologies can be incorporated into a home. 3. Develop an ability to take the information learned in the course and apply it to a real world application. 4. Become aware of technologies readily available in the market and how much they cost. 5. Realize it is possible to build a net zero energy home. 6. Have fun with designing and envisioning
electric guitar. Some researchers haveshown in their papers that signal processing techniques can be applied to musical recordings foranalysis and synthesis.1-2 This program is useful for comparing the FFT and DFT and also forexploring the effect of different sampling frequencies and sample sizes. In the future, perhaps theprogram will also assist in the design of real-time signal processing algorithms. This is stillwithin the scope of an introductory digital signal processing (DSP) course.3 First, the overallsoftware system is presented in this article. The interface and user options are explained. Someof the results are reported, and usability of the program in an introductory DSP course isdiscussed.Fourier Workbench SoftwareThe block diagram of
Development and Delivery of a Project-Based Introductory Engineering Course for Online Delivery Christa James-Byrnes, Mark Holdhusen University of WisconsinIntroductionEngineering education is increasingly moving to nontraditional delivery modes, especially onlinedelivery. Over 5.6 million students in the United States took at least one online course in the fall2009 term.1 This represents a 21 percent growth rate while there was only a 2 percent growthrate for higher education student population.1 With this movement comes the challenge to meetthe quality offered by traditional face-to-face instruction. In the online environment, it is
design process, sustainability and LEED,professionalism (licensure etc.), ethics, globalization and effective teamwork.The remaining three lectures in the course are dedicated to the design project. One lecture isused to introduce and explain the project, and the final two lectures are used for the students tomake their presentations.Project 1 DescriptionThe first time the author taught the course a more typical design project was used. This semestera new chancellor was installed at UMD, and the design project was to complete a preliminarydesign of a private residence for the new chancellor. The project was composed of multiplephases, with a deadline for each phase as well as a final report and presentation summarizing the
role of passive spectators.(1)This method, however, continues to be the mostdominant teaching method in engineering institutions and widely used in most classes.To improve the relevancy of engineering education, we believe that teaching, or morefundamentally, student learning needs to be emphasized. Learning, as defined today, is morethan the acquisition of knowledge. Bloom (2) has defined five increasing levels of learning orcomprehension. Starting with fact-based knowledge, and followed by: comprehension (usingfactual information and explaining facts), application (applying facts to solve problems,analyzing concept structures), synthesis (creating something new by using different components),and evaluation (exercising judgments and comparing
faculty to meet adjunct candidates, before andafter the seminar, to get to know the candidate and discuss matters of mutual interest, includingpotential future collaboration. (1)Some of the adjunct faculty-particularly those who are seniors in specific industries-could offerimportant linkages for the development of industrial affiliate programs, co-op activities, summertraining opportunities, and employment opportunities for new graduates. They may also providenew ideas for senior design projects, topics for graduate theses, or render help in theestablishment of collaborative research programs.When a choice has been made and the candidate has accepted, it is important that he/she feelswelcome and be assisted in becoming familiar with his/her new
on use of local materials and processes formaking eco-informed products including non-chemical clay water filter developed by TCC; andbamboo frame project by Materials Engineering.II. Objectives of the CourseIt is hopeful that upon completing this program, the students will be able to perform the followingtasks: (1) Anal e a d de c ibe a a e ial life c cle; (2) Conduct eco-audits using CESEduPack eco-audit tool; (3) Analyze eco-data: values, sources, precision; (4) Design an eco-informed product; (5) Relate legislation with sustainability; (6) Write report on a sustainabilityproject; and (7) Make oral presentation on sustainability project and Ghana trip experience.Objective one is achieved through lectures and case studies on life
i (ee a he ASP e a ) ad a ced(relevant to the CSP exam) and listed the knowledge items along with an additional 298 skillitems under a hierarchy of domains (e.g., risk management) and tasks (e.g., design effectivemethods to reduce or eliminate risk ). Relevant to this initiative, the BCSP also undertook ageneralized curriculum mapping effort, linking the skills and knowledge items with 15 bjec 8 a e d ai typically taught in a safety program (see example for Measurement andMonitoring in Figure 1) but provided no guidance on how to adapt this generalized curriculummap to a specific program. However, in a separate publication, one of the individuals involvedin the
Examples of Rubrics Used to Assess ABET Student Outcomes in a Capstone Course Byron Garry South Dakota State UniversityIntroductionIn our Electronics Engineering Technology (EET) program, we are continually re-evaluating thestudent outcomes and how they are measured by the assessment process. We have defined, withthe approval of alumni and our industrial advisory board, sixteen Student Outcomes labeled (a) -(p). These begin with the ABET Criterion 3 Student Outcomes (a) - (k)1 , and then add theProgram Criteria for Electrical/Electronics Engineering Technology, and some universityrequired student learning outcomes, which are labeled
about how theories and equations apply in real world engineeringsituations. Exposure to experimental design also allows students a concrete, physical illustrationof the ways in which interrelated experimental variables depend on one another. For these andother reasons, the Accreditation Board for Engineering and Technology (ABET) outcomesspecify that students, by the end of their undergraduate engineering education, demonstrate: “An ability to design and conduct experiments as well as to analyze and interpret data” ABET Engineering Outcome B[1].While the Civil Engineering specific ABET Program Criteria deemphasizes the design aspect ofexperimentation (since professional civil engineers are not often involved in
-established ones are mentioned here.Although the list is not exhaustive, it does represent the wide range of solutions that areavailable. It should be noted that non-engineering disciplines often have their own accreditationboards and are responsible for similar program assessment reports. Many of these disciplines,especially the field of education, have developed tools to automate the process and provide thefeedback necessary to foster continuous quality improvement. There are several major types of automated program assessment tools. Web-based tools aredesirable because they are easily deployed to those who need them and because they may allowfor collaborative interaction. Heinze et. al. [1] use web-based automated assessment to allowstudents to
on Educationin Hawaii in January 2008. [1] Robust assessment minimizes the adverse effects of variables on thereliability of assessment results by identifying, understanding, and controlling the influence of such a ab e . T e e a e de a c f de a a a e e f e e a a ab e amust be assessed and effectively utilized to improve teaching-learning. Such an assessment is an exampleof a bottom-up approach that supports the top-down strategy of robust assessment. Personality typesgreatly influence team dynamics or interaction. This is particularly important in courses wherein teams orgroups of students work on projects. This paper presents the planning/methodology, implementation,anticipated outcomes, and results to