environments, coexistenceof wireless technologies, and implementation of wireless fieldbus services are discussed.The most suitable wireless communication system to operate effectively in an industrial/factoryfloor environment with improved channel quality, robustness and loss-tolerance applications areintroduced. Moreover the next step is towards a unified communication interface and theintegration methods are presented as well.1. IntroductionThe convenience of true mobility offered by wireless connectivity is the main factor behindwidespread acceptance of wireless technologies.This paper presents the development and application of a practical wireless systems taught in ajunior level to electronics and computer technology engineering students.This
as they have a high probability ofdesigning parts that will require machining processes during their manufacture.Course Delivery on MET 316 Computer Numerical ControlThe course MET 316 Computer Numerical Control has been developed since 2006 andoffered in every fall term by the authors at Drexel University. The overview of MET 316 Page 22.920.3is shown in Table 1. The course provides a requisite understanding of machiningprocesses, computer numerical control, CAD/CAM, and quality control for students toprogress to the advanced level in the course. The course also serves as a means forstudents to gain exposure to advanced manufacturing concepts
) through continuous improvement by flowing the product atthe pull of the customer in pursuit of perfection,” [1]. Principles of Lean processes were firstidentified by Womack, Jones and Roos, [2] [3], when they conducted their five-year, five-milliondollar study on the differences between American and Japanese automobile manufacturingcompanies. In the report that they compiled for the study, that later was published as the booktitled “The Machine That Changed The World,” they elaborated on how automobile Page 22.1194.2manufacturers in Japan seem to be using less resources to produce the same output compared toAmerican manufacturers. In the report
Foundation (DUE 0802305 -Manufacturing an Engineering Resource Center: An NSF National Center of Excellence) andlooks forward to the release of the 2011 Report. Results for these reports builds on earlier workincluding; The State of Manufacturing Engineering Technology Education2 and ReinventingManufacturing Engineering: Refocusing and Exploring Future Opportunities for Students3 asshown in Figure 1. This earlier research provided insights regarding the health of post-secondarymanufacturing programs and factors influencing these programs. Manufacturing Education Trends Reports Recent History 2005 2007 2009 2011 • Davis and Jack • Danielson and • Feola and
documents the results of a second annualsurvey of manufacturing educators and professionals assessing opinions about curriculum topicsand the health of manufacturing practice and education.1. IntroductionManufacturing engineering continues to be one of the most dynamic disciplines with constantchange driven by global competition and new technologies. Obviously education is a keyfor preparing manufacturing professionals who have knowledge and skills that can supportcontemporary and emerging issues 8, 9. In the face of ongoing change it is necessary to assesswhat has been done, the current status, and a direction for the future. This work focuses onmanufacturing education in general perspectives. The work described here is not unique asprior efforts
Page 22.1683.2industry, and iv) support from service groups. The milestone documents for manufacturingeducation are listed below 1, 2, 3, 4, along with two forums 5, 6, and a summit 7. Curricula 2015 wasdeveloped using the content of these documents and input from many other sources to promoteimprovement of not only manufacturing-named curricula, but also to encourage other disciplineswhose graduates enter manufacturing-related careers to enhance the content of manufacturingtopics in their curricula. • Countdown to the Future: The Manufacturing Engineer in the 21st Century: Profile 21, Dear- born, MI: Society of Manufacturing Engineers, 1988. • Ideal Models in Manufacturing Education – Proceedings of the Curricula 2000
, the most significant task is creating assignments thatfurther high-level student learning3. Additionally, it has been found that student learningincreased when multiple experiential techniques were used relative to learning that occurredwhen a single experiential technique was combined with a lecture format4.Activity 1The initial activity required students to perform an R&R on small screws using a 0-1 inch Page 22.1435.2micrometer to measure the length of the screws. The students were instructed in the generalprocedure and worked in pairs to perform the measurements. There was a fair amount ofconfusion surrounding procedural matters in
. The product itself is really just a stand for a bicycle that is attachedto an alternator, a battery, and a power inverter (Figures 1 and 2) for standard AC or DC output,with voltage and current dependent on alternator and pedaling speed (6-12 Volts, 1-4 Amps).The design is meant to allow virtually any standard bicycle to be quickly hooked up to the stand(Figure 2). A few minutes of pedaling can produce enough electricity to allow for lighting,charging of a phone, playing of a radio, or other low current, “quality of life” activities. Theintention was more to charge the battery for these purposes rather than having someoneconstantly pedaling while the load is operational.Rather than work with a specific company that would produce and assemble
projects and how they relate tothe course syllabusRelated ResearchThis section briefly reviews related work on learning styles, industrial automation and theeconomy, education on automation and control, and project-based learning.Learning Styles. As described in Felder and Silverman1, there are different student learningstyles including (1) active/reflective, (2) sequential/global, (3) sensing/intuitive, and (4)visual/verbal. It has been suggested that different teaching styles can be adapted accordingly.Litzinger et al.2 extend the application of learning styles not only to engineering but also toliberal arts and education. Their analysis revealed that the engineering students are significantlymore sequential and more sensing than the liberal
. Education impact of this project is usage of the created model for simulation ofthe testing vehicle in automotive laboratory and research activities.Keywords. three dimensional road model, road profile, laser measurement scanners 1. IntroductionMost of the automotive companies perform accelerated testing of trucks and cars in extremecondition, driving them on proving ground (Bosch, Ford, Chrysler, etc.). Durability roads usedfor testing the vehicles contain so called surface events, such as inverted bumps, cobblestones,resonance and undulating roads, chatter bumps, sine wave road; in addition there are gravel andcross-country roads1. This setup allow in short time to complete accelerated millageaccumulation testing of the vehicles in worst case
established via NSF’s CCLI program funds.3D printing is a relatively new manufacturing technology patented by Massachusetts Institute ofTechnology in 1993. This technology utilizes an additive technique to create a three-dimensional object from a digital, two-dimensional drawing. The benefit of this technology isthat it can “compress the design cycle, generate new concepts, communicate clearly, fastercollaboration, and reduce errors.”1 The object is created by slicing the drawing into layers. Themachine works much like an inkjet printer laying down a fine layer (0.0035 inches to 0.004inches) of powder followed by a layer of adhesive binder. This process is continued layer bylayer until the object is complete. The 3D printing machine can easily
and the Robotics in Computer IntegratedManufacturing (CIM) course curriculum required restructuring to enhance the student learningexperience. The course consists of one class section and one laboratory section. The focus ofthis effort was to restructure the laboratory section and improve the laboratory area andequipment which had not been previously improved [1]. Page 22.1248.2Teaching PhilosophyThe Robotics in CIM course serves as an introduction to robotics and programming systemsprimarily for engineering technology students and as a technical for elective for the university.However, the course includes other elements such as teamwork and
objectives for a Materials Engineering course were established using principles ofcourse design from Fink [1]. In Fink’s taxonomy, six different types of course objectives arepossible. The different types include that of Foundational Knowledge, Application, Integration,Human Dimensions, Caring and Learning How to Learn. According to Fink’s model for coursedesign, a course should also include a Rich Learning Experience [1], or project, which addressesmore than one course objective. The paper will discuss the changes that were made to the courseand the approach to course re-design to allow for new course objectives. Assessment data forseveral of the objectives from two sections of the course will be presented. The course includesan audio podcast
students have a tendency toward visual learning, however most engineeringeducation is auditory1 or verbal in nature. Evidence for the strong visual nature of engineeringstudent learning is seen in Figure 1. Data used to construct Figure 1 was obtained by havingstudents voluntarily take an online index of learning styles questionnaire (hosted at NorthCarolina State University2). The index of learning styles questionnaire covers a multitude oflearning styles, for which the respondents reported, however only the visual and verbal style dataFigure 1. Collected learning style data from multiple introductory service courses in second year materialsengineering undergraduate courses (time span: 2005-2010). The percentage of each class as a function of
c American Society for Engineering Education, 2011 Predicting Conceptual Gain in an Atomic Bonding Module from Proficiency in "Engineering Speak"AbstractEngineering education has focused on understanding student conceptual development with avariety of assessment methods. Much research is focused on developing strategies, pedagogies,or interventions to promote effective conceptual development. However, results are dependenton the ability to accurately, efficiently, and easily measure the effect of different strategies ondifferences in conceptual gains. At this time, the Materials Concept Inventory (MCI)1 is the onlyvalidated pre-post course assessment tool for measuring student conceptual gain in
coupled with additionaltechniques and methods supported by the National Science Foundation (NSF Award IEECI1037779).The Targeted Course: “Construction Materials” Consistent with the Course Learning Objectives noted in Table 1, “ConstructionMaterials” (ETCE 1122) is sequentially a follow-on course to “Construction Methods.” Listedas a 3-credit hour course with two 75-minute lectures each week, the Methods course introducesbasic construction procedures and operations typically employed on engineering projects. The Page 22.1241.2course serves well as a prelude to the Materials course including topics addressing basicconstruction and civil
fall of 2009. Our next ABETvisit will be in 2014. The curriculum is the same at both locations. There has beena junior Materials and Manufacturing course taught in the fall of the student’sprogram for more than 10 years. The development of MEEN 360 has beendocumented at prior ASEE meetings. The topics covered and the laboratoryactivites were discussed at ASEE Annual Conference.1, 2, 3, 4MEEN 404 is generally taken during the first semester of the student’s senior year. Page 22.1588.2In this course, students must design, build, test, and evaluate two to threeexperiments. Generally, the experiments build in complexity from one to three ormore independent
to the development of the Mini-Math Jam – a shorter, one-week version of Math Jam that is offered a week prior to the beginning of the fall semester, andduring the winter break. The Mini-Math Jam has also been successful in helping studentsimprove their placement scores, and preparing them for subsequent math courses they take.1. IntroductionCommunity colleges serve as the gateway to higher education for large numbers of students inthe U.S., especially minority and low-income students. Yet for many students, the communitycollege gateway does not lead to success. According to a study of community colleges inCalifornia, only one in four students wanting to transfer or earn a degree/certificate did sowithin six years.1 The completion rates for
approximately 8 hours a week (4 hours of regularclass time, a 1-hour weekly meeting with the course instructor, a 2-hour SI session and 1 hourpreparation time).Student SuccessThe two college reports which follow indicate that the SI sections did help students succeed inCollege Algebra & Trigonometry and other math classes. In the Achieving the Dream report, thedata focuses exclusively on the pilot SI section for College Algebra & Trigonometry held in thespring of 2009. NECC Achieving the Dream Report – A Preliminary Look at Comparing Outcomes for Students who received Supplemental Instruction to those who did not – College Algebra & Trigonometry1 During the Spring 2009 semester
courses.Matlab Component DescriptionThe advanced engineering mathematics course in which this Matlab component was includedcovers the standard topics of ordinary differential equations (ODEs), Laplace transforms, andcomplex analysis (including complex numbers, functions of a complex variable, and integrationin the complex plane). The component consisted of three self-study modules, two onlinequizzes, five sets of teaching assistant (TA) office hours (each 2 hours long), and a set of videotutorials.Matlab Self-Study ModulesThe three self-study modules are described in greater detail in Table 1 below, and as an examplethe third module is presented in Appendix A. These modules were designed to allow the studentto work through them on their own time in the
mathematics to undergraduate engineering students 1-3. The main objective ofthe paper is to provide some lessons learned in developing and conducting a graduateengineering mathematics course from the perspective of an instructor. These lessonsdiscussed in the paper may be insightful and useful to other faculty members trying todevelop such a course or teaching a similar course.Course Description The author designed and developed the course, MEEN 5304 AdvancedEngineering Analysis, in 2001 and started offering the course in fall 2002. The coursecontents were chosen according to the contents and requirements of other graduate Page 22.1371.3courses offered
resultsshow that the Teaching Practicum class is well received and valued. A retrospective look at thecourse and lessons learned are offered.Background and MotivationSince the early 1990s, the Woodruff School of Mechanical Engineering at Georgia Tech hasrequired all Ph.D. students to complete three semester credit hours of a Teaching Practicumduring the course of their doctoral studies. In the Teaching Practicum, students work closelywith a faculty member in all aspects of teaching a course. This includes the preparation anddelivery of a limited number of lectures, learning the basics of course design, and administeringstudent assessments and evaluations. The course text is Teaching Engineering, by P.C. Wankat& F.S. Oreovicz.1 A typical syllabus
final exam represented 35% of the total course grade. Theperformance of students on the final exam in the control group and study group are compared. Inaddition, the results for both courses are compared to assess whether the differences in weightingincreased student performance on the final exam.ResultsThe students incoming GPA and hours earned for control groups and study groups in both thedynamics and thermodynamics courses are shown in Tables 1 and 2. In comparing the control Table 1. Comparison of incoming student GPA (4 point scale) for both the control and study groups in both courses Thermodynamics Dynamics Control Group
the Valparaiso University Capstone Senior Design course to address all four of thesechallenges.1. IntroductionNumerous publications have emphasized the importance of technical communications skills inthe field of engineering. Results of a 1999 survey from engineering graduates who have been inthe workforce from three to five years showed that "64 percent of these engineers' overall worktime is spent on some form of communication"1. In a 2005 study based on a focus group of 50individuals representing both academic and non-academic engineers, communicationcompetency ranked as the second most important engineering attribute, behind only technicalcompetency2. ABET also recognizes the need for engineers to develop communication skills
, withmathematics and basic science courses predominating. All discipline-specific design coursescame later in the curriculum, beginning in the second semester of the sophomore year. The oldand revised first semester of the first year is shown in the table below. Table 1: Original and Updated First Semester Freshman ME Curriculum Semester-hours are shown in right hand columns 1996-2009 2010 and beyond1 Calculus I 4 Accelerated Calculus I 42 Adv College Chem I 4 Adv College Chem I 43 College Composition I 3
completion issignificantly influenced by the student’s motivation and self-regulatory capabilities.In recent years, the effectiveness of homework at the university level, in fact across the board,has come under serious questioning 1, 11. College instructors, while re-emphasizing the validityand the value of homework as a learning tool, acknowledge the existence of a large gap betweenthe performance of students on homework assignments and that on examinations containingcomparable or even the same problems. Furthermore, studies continue to point out a general lackof good conceptual understanding of the main concepts of physics and mechanics in their field ofstudy among undergraduate students12, 13. This indicates that the desired outcome of the
and procedural skill, and,importantly, to ultimately develop students with a firm grasp of conceptual principles and theability to think analytically and critically about problems in a domain. Within current instructional practices, it is not always clear how to define proficiency orexpertise in undergraduate problem solving. Research has shown that engineering curriculaorient students to final solutions, not necessarily to the process followed in order to achieve thesolution.1 Relatedly, feedback from instructors is often oriented toward the accuracy of the finalsolution and not the strengths and weaknesses in students‟ conceptualizations of problems.1 Thepresent work attempts to develop a measure of definiteness of what it means to be a
. Project DetailsThe scenario presented to students is that a solar distillation unit is proposed for a southernCalifornia seaside location (nominally Vandenburg Air Force Base), and that the students aretasked with ascertaining the feasibility of such a proposal. The project consists of three parts: 1. Solar tracking and intensity calculations for the site on a specified date (nominally 21 June). Page 22.1310.3 2. Transient thermal modeling of a prototype solar distiller to ascertain fresh water production as a function of time, with extrapolation up to a full-scale unit. Insolation is provided from results obtained
reinventing the world every day. So conventions arethe source of great comfort, even if this is at the expense of thought.” [1] This has neverbeen more evident than when observing university students. They are so used to routineand feeling that if they complete a checklist and receive a good grade that they havelearned. Perhaps they have learned the material but they haven’t learned how to think.From observation, students treat classes as something on a to-do list with the rewardbeing a degree when they have checked off all items on the list. Within the scope of aclass, students find great comfort in their to-do list of 10-12 weekly homeworks, 3 tests,maybe a project and then a final exam. All items are treated as part of a to-do list. Whenhomeworks