and collecting metrics for determining success in any course can be difficult. We usethe results of national exercises (e.g., CDX), student feedback in the form of anonymous onlinecritiques and test scores as our metrics. Results show the students are learning the finer points ofcomputer systems as they hone their cyber warrior skills necessary to defend our informationsystems.1. Introduction and MotivationSecuring information systems from intentional or unintentional information disclosure hasquickly become one of our nation’s top priorities. There are countless published examples ofcorporations and organizations loosing data due to cyber attacks. A recent high-profile exampleis the cyber attack on Google; this incident, codenamed Operation
it - unconscious bias,hidden bias, unrecognized bias, implicit bias, schemas or non-conscious expectations. If we’rehonest with ourselves we’ll recognize that we all have various “records” in our heads ofinvoluntary associations, thoughts, and stereotypes. What the research points out is the enormouscumulative and concrete impact of these involuntary associations. The approach of theDeveloping Diverse Departments project is to educate a wider and wider circle of faculty anduniversity leaders about the potent effects of unconscious bias on the composition and climate ofthe university.To summarize, the two guiding principles undergirding the D3 project are: 1. Having women in leadership positions and in senior faculty roles within the
reaching all studentsbut having their progress, or lack thereof, published. School leaders are constantly looking fornew and more effective ways to engage their students in their own learning (and be able todemonstrate it), and in high poverty/high minority schools in general, both the need for out of thebox and innovative approaches and the presence of federal and state funds under programs suchas Title 1 provide a vehicle to try new things.It’s into this environment that the elementary engineering approach was introduced in our state.Six years ago in New Hanover County, North Carolina a high poverty and high minority magnetschool was created when the district went to a neighborhood school assignment policy. Theadministrative team was allowed to
two vibration related hands-on activities, the Helmholtzresonator project and an industrial visit. A Helmholtz resonator, which can be modeled as aspring-mass system, consists of a body (cavity) and a neck whose dimensions can be selected totune the resonator to respond at a desired natural frequency. Student teams are required todesign, build and test Helmholtz resonators, and write a formal report. [1] They are also requiredto visit a local industry and observe dynamic balancing of multi-disk shafts that are used toproduce corn flour for cattle feed.The author pursued other venues in an effort to develop a few tabletop vibration experiments forthe Vibration course. A local automotive muffler manufacturing company donated a shaker anda pair
the recently established Mercer Center for Innovationand Entrepreneurship (MCIE) will support educational interdisciplinary curricula and co-curricular activities directly benefiting students and provide multi- and cross-disciplinaryteaching, learning, and research opportunities on innovation and entrepreneurship to faculty andstudents.IntroductionIn recent years, the entrepreneurship education and research has focused a great deal of attentionon opportunity recognition as a key aspect of research and practice [1]. The field ofentrepreneurship has been defined as the “study of the sources of opportunities; the process ofdiscovery, evaluation, and exploitation of opportunities” [2]. The entrepreneur has been describedas “an innovator or
illustrative applications, finally giving students practice insolving problems along similar lines. The aspect of ‘how’ is given importance while the questionof ‘why’ is undermined or neglected. What practical problems can they be used to solve, andwhy should the students care about any of it? Leading educational theorists agree that thisapproach is not always successful in fostering understanding, synthesis, eventual application ofknowledge, and the ability to use information. A well-established precept of educationalpsychology is that people are most strongly motivated to learn things they clearly perceive aneed to know.1, 2 A preferable alternative is inductive teaching and learning. Instead ofbeginning with general principles and eventually
companies that would employ these future technicians.Project StatusBoth FLATE and RCNGM are at the same point in their individual demonstrations of this studyabroad project. Phase 1 has been completed. The results and lessons learned from the respectivefaculty trips are provided below.COT-RCNGM Project in GermanyBuilding a skilled workforce is essential for Connecticut businesses to compete in the 21 stcentury workplace. The CT College of Technology (COT) is a statewide collaboration that that isensuring that Connecticut’s companies have access to a highly skilled workforce. In 2004, theCOT received a National Science Foundation Advanced Technological Education grant toestablish a Center for Next Generation Manufacturing (RCNGM). The COT and its
sustainable and appropriate technologies, in the context of a total design approachincluding long-term factors such as energy consumption, local materials, durability, maintenanceand economic sustainability of the project.While the first academic year of this collaboration produced several tangible results and greatfirst steps, if this year's results were the conclusion, we would be disappointed. However wefind encouragement from the founder of the EPICS program at Purdue University “When youstart [an engineering Service-Learning program], start small and imperfect…Start withsomething and build.” 1 The past 15 months represent very successful “imperfect” first steps in along collaborative intervention.Model for CollaborationA few simple ideas from
industry (23%) combined. According to the U.S. Energy Information Administration[1], fossil fuels supply 76% of the total building sector energy consumption.The development of training programs which teach residential, commercial, and industrialenergy assessments can be accomplished with a series of seven courses: 1. Weatherization Training 2. Building Performance Training 3. Architectural Energy Analysis 4. Introduction to Energy Management 5. Energy Control Strategies 6. Commercial and Industrial Assessment 7. Capstone ProjectWeatherization Training incorporates hands-on training of the installation of various types ofinsulation, performance testing with the
’ dispositions with abackwards approach: It rests on the assumption, grounded in my prior research, that the ultimatemathematical disposition of engineers, that of skeptical reverence, is a productive and desirableone for future engineers and other professionals. It then targets individuals at various stages ofthe transition between school and engineering work and explores their evolving perceptions ofthe relationship between mathematics and engineering.MethodsThis study focused on the 12 participants who were selected to represent early engineer-development stages: two students in each of Years 1 and 2 of the undergraduate civil-engineeringprogram at California State University, Northridge: three students in each of Years 3 and 4 inthis program, some
requirements [1]. The engineering graduationrate is even lower for Texas Higher Education institutions. It has also been noted that manystudents made their decision to leave an engineering major within the first two years, the periodduring which they are taking engineering prerequisites and before taking any (or many)engineering courses [2]. One of the potential reasons for this situation is that students in theirfirst two years are given little exposure to the many possibilities that an engineering career canoffer, while they are taking math and science courses taught outside of engineering departments.It suggests that few students-even those who have had some prior exposure to engineering-knowwhat engineers do, and this affects their commitment to
materialfor the lecture and labs was drawn from documents found on the Altium website1. The lecturesand labs were designed such that they built on skills acquired in previous lectures and labs.Table 1 shows a listing of the lectures and the labs associated with them. It also shows thehardware and software used in the labs. The lectures and labs covered the following topics:implementing combinatorial and sequential logic circuits using FPGAs, performing simulationand synthesis with VHDL, writing VHDL testbenches, using embedded instruments for testingFPGAs, and configuring and programming soft processors.Before being used in the undergraduate advanced digital logic course, initial versions of thelectures and labs were used in a graduate course. This
in investigating alternatives to OSCAR and Rocks to develop a virtual high performance computing clustering environment built on KVM and OpenNebula. We believe our experiences and results will be useful for other educators seeking to efficiently use limited physical hardware resources to develop an effective course in high performance computing systems.1 IntroductionDeveloping and deploying Beowulf-style high performance computing clusters has always been adifficult process for many reasons. Traditionally, Beowulf-style HPC clusters consist of a largenumber of computing nodes, and each of those nodes needs to have an operating systeminstalled on it. To complicate matters, some HPC jobs require Microsoft Windows, which
, and commonbiochemical assays. In addition to teaching these specific techniques, the experiments emphasizeengineering analysis, mathematical and computer modeling, and statistical experimental design. The investment required to establish an instructional tissue engineering lab facility issubstantial. To maximize the return on investment, experiments make extensive use of a sharedset of equipment (Table 1). Due to the interdisciplinary nature of TE, it is possible to use thisshared set of equipment to conduct experiments that reinforce a wide range of engineering andlife science concepts that are covered in typical BME/BE programs. Supplies and consumablesnecessary for routine TE lab work are used throughout the book and should be made
which we believe adequately mirrors cognition in themacroscopic analysis of fluid and thermal systems. We believe this rubric is concise, moreexplicit and relatively easy to use and can be employed in the rating of all the assessmentartifacts by a trained rater. The current version of this rubric is appended at the end of this paper.Our hypotheses are: 1. that we would find consistent FAI ratings for all assessment artifacts (textbook problems, worksheets and examinations) that would correlate with ratings obtained fromtraditional professor-crafted scoring keys, 2. the rubric scores would be more descriptive andhence more representative of learner cognitive trajectory. This we believe would be more useful
Micro/Nano Engineering Laboratory CourseAbstractManufacturing and innovating at the micro/nano scale is a major trend in technologydevelopment. Whether in the traditional submicron manufacturing systems associated withelectronic devices or in emerging areas such as biotechnology and energy harvesting, micro/nanosystems are becoming increasingly important and prevalent.1-2 This paper describes howengineering at micro and nano length scales was brought to mechanical engineeringundergraduates through the Micro/Nano Engineering Laboratory (2.674/2.675) at theMassachusetts Institute of Technology (MIT). This class is a hands-on laboratory designed toinspire interest and excitement about engineering at the small scale through building, observingand
, current mobile devices have incredible screenresolutions (over 300 dpi in some cases). A recently released smart phone by Samsung, theGalaxy Nexus [1], has a resolution of 720x1280 which is the same for most mid-range laptopcomputers. Granted, the pixels are tightly packed, but they are capable of rendering detailedstress plots or flow fields.The next issue is the relatively slow CPU speed of mobile devices. They are constantlyimproving, but they are not designed with engineers in mind and will always be slow for intensenumerical calculations like finite element analysis. This paper addresses a solution to thisproblem by off-loading calculations to a server cluster through a web-based analysis tool. Whileclusters are not new, they generally are
• “think a policy of confidentiality is more important [to achieve fairness] than a policy of open access to evaluations.”Ohland et al.8 examined three peer evaluation instruments that ranged from Forms A and C, eacha one-item nine-level Likert-scale rating to Form B, a 10-item, five-level Likert scale rating.Forms A and C used these descriptive words to define the nine Likert-scale levels: 1. Excellent 6. Deficient 2. Very Good 7. Unsatisfactory 3. Satisfactory 8. Superficial 4. Ordinary 9. No Show 5. MarginalForm B used these descriptors for its five levels: 1. Excellent
project to facilitate comparison ofscheduling and estimating numbers with the industry.In addition to the traditional instructor based lectures, this course will also include lecturesdelivered by industry personnel and laboratory activities that may vary depending upon theselected project. This assures at least six hour contact time among the faculty, the industrypersonnel and students every week. After the lecture sessions, each team has been allotted timeto seek guidance from industry sponsors on specific aspects of the project. The course topicsinclude the following as shown in Table 1. Table 1: Course Topics Topic or Subject Description Introduction
workshops to engage electric vehiclemanufacturers, battery, electric components, fuel cell developers, and electric infrastructurecompanies.1. IntroductionThe automotive industry has been one of the largest and most important industries in the UnitedStates, employing more than 3.3 million Americans1, accounting for 4% of total gross domesticproduct, and representing the single largest U.S. export (nearly $121 billion) in 20082. The worldeconomy, however, has shifted over the past year. Today the automotive industry is engaged in atransformational change that incorporates a technological shift from the petroleum-poweredengine that drove the transportation economy of the 20th Century to the renewable resource-based electric powered motor that will
, production test, and manufacturing.Besides this, the major advantages of LabVIEW include ease of learning, using and debugging,the simplicity of using the interface (front panel of a LabVIEW program) particularly for a user Page 25.447.4with little knowledge of LabVIEW programming, modular development, complete functionality,available tools and resources, reliable performance and the capability of controlling equipment.There are four critical elements of the LabVIEW development platform11-13: 1. Intuitive graphical programming language 2. High-level application-specific tools 3. Integrated measurement and control-specific capabilities 4
technology.IntroductionAssessment of learning outcomes for academic programs is an essential part of quality controland quality assurance. This process becomes rather intensive for professional degree programsbecause of the specific discipline requirements combined with institutional approaches andindustry expectations. Accreditation agencies, at national, regional, and discipline levels, defineoutcomes assessment as an important component in their evaluations.The Accreditation Board for Engineering and Technology (ABET) 1 for engineering andtechnology programs, and the American Council for Construction Education (ACCE) 2 forconstruction programs place a large emphasis on the outcomes assessment and define a versionin their respective accreditation requirements. ABET
beenadministered for the past 4 semesters to 30 to 40 students per class. The types and frequencies ofmisconceptions were derived from looking at the frequencies of the misconceptions in thequizzes. A typical pre-test is shown below in Figure 1. Figures 2 and 3 show new multiple choicequestion sets for BCC and FCC crystal structures with the intersecting planes being (100), (110),and (111). For a given question 4 of 5 multiple-choice answers were generated frommisconceptions from pre- and post topic concept quizzes. In general it was found that there weresix main types of misconceptions. They were: missing atoms; extra atoms; displaced atoms;spaces between atoms when there should be none; atoms touching when they shouldn't; anddifferent sized atoms. The
. Another key feature is the“pulsating” representation where at each “pulse” the different disciplines or subsystems “open”to work independently and then “close” to integrate their findings. The model will be madeavailable for use in senior design courses as well as for prototyping in the author’s research areaof biomechatronics.1 IntroductionThe objective of this paper is to present an initial model for the multidisciplinary interaction ofdisciplines in mechatronics design. The objective of the model is to allow engineers to create astrategy for the interactions among disciplines.“Mechatronics” refers to a new engineering field, which started in Japan in the early 70’s and hascontinued its development since then. Mechatronics has been defined as
. Page 25.451.1 c American Society for Engineering Education, 2012 Development of a Dynamic Curriculum for Wireless Communications: Addressing the Required Workforce for Wireless Industry and Academia Seyed A. Zekavat1,2, Cheryl Li2, Saurav Pathak1 1 University of New Haven, 2Michigan Technological UniversityAbstract – There are emerging applications for wireless communication systems. Newtechnologies are developed in this field in a rapid pace, and industry is in an increasing need ofwell trained and skilled graduates. They need these graduates to get integrated with their alreadyexisting employees without any further training or with minimal
) basic instrumentation and measurement,(ii) digital logic and microcontroller programming, (iii) mechatronics sensors with integrateddata acquisition interface, (iv) DC motor control with integrated interface, (v) advanced controlof multi degree of freedom systems, and (vi) mobile robotics. Figures 1(a) and (b) give someoverall views of the lab. (a) (b)Fig. 1. Overall views of the lab (a) from the front, (b) from the middle.In addition to the devices for basic instrumentation and measurement, the lab is well equippedwith a number of educational hardware platforms51, 52 including (i) mechatronics sensor modules,(ii) DC servomotors, (iii) multi-degree-of-freedom systems, both translational and
eight ofthem were developed as new courses, with funding from USDA. Table 1 lists all the requiredand elective courses in the program. Following the table is a short description of each courseavailable in the program.Table 2 shows a schedule of the course offerings over a three year period. While the courseschedule in the initial year of program implementation (2011-2012) is somewhat sporadic, thelonger-term course sequence is well defined. The required overview courses are offered onceevery year, with Bioenergy Economics and Sustainability offered in the fall and BiomassFeedstock Development and Conversion Overview offered in the spring. Several other coursesare also offered every year, but many of the specialized courses are only planned to
. Page 25.454.1 c American Society for Engineering Education, 2012 Development of a New Multidisciplinary Course: Smart Grid1. IntroductionThe future power grid will be a comprehensive cyber-physical (hybrid) system, where the powergrid should be able to deliver high quality, clean, reliable, efficient, and affordable electricity toconsumers 1, 2. Importantly, consumers will have more freedom in monitoring and managingtheir usage of power. More smart appliances and electric vehicles will emerge that interact withthe grid. There will be a greater diversity of generation including thermal, wind, solar, hydraulic,biomass, etc. and all will be more easily integrated into the grid. Though power transfer
25.455.1 c American Society for Engineering Education, 2012 Development of a New Power System Course: Power System Analysis Using Advanced Software1. IntroductionPower utilities routinely employ software packages such as Power System Simulator forEngineering (PSS/E) for performing system studies 1-6. When making hiring decisions,employers in power industry usually prefer students with experiences in widely adopted powersoftware. Regular electrical engineering courses usually focus on theories and the students maynot have opportunities to learn the advanced software. Recent ongoing transformation of thenational grid into a smart grid spurs the needs of modeling and simulation of power
both wind energy and solar energy systems. Those topics and theirsub-topics are in the course outline in Figure 1.Solar Labs1. Classifying solar panels i. I-V curves, temperature effects, bypass diodes Page 25.456.22. Power semiconductor devices and gate driving i. IGBT and MOSFET characteristics, totem pole and optocoupler gate drivers3. DC/DC converters (choppers) i. Buck choppers, Boost Choppers, Boost choppers with PV panels4. Single-phase voltage source inverters and filters i. H-bridge VSI’s, THD, RLC filters5. Single-phase current source inverters i. H-bridge CSI topology, CSI’s with PV panels, circuit construction on