, pp. 223-231.12. Sheppard, S.D., and R. Jenison, “Freshmen Engineering Design Experiences: An Organizational Framework,” International Journal of Engineering Education, Vol. 13, No. 3, 1997, pp. 190-197.13. Sheppard, S.D., R. Jenison, A. Agogino, M. Brereton, L. Bucciarelli, J. Dally, J. Demel, C. Dym, D. Evans, R. Faste, M. Henderson, P. Minderman, J. Mitchell, A. Oladipupo, M. Piket-May, R. Quinn, T. Regan and J. Wujek, “Examples of Freshman Design Education,” International Journal of Engineering Education, Vol. 13, No. 4, 1997, pp. 248–261.14. Rabasca, K.L, Hodgkin, B., and Ellis, J., "Using Freshman Design to Introduce Multiple EC2000 Criteria, Proceedings, 2002 Frontiers in Education Conference, http://fie.engrng.pitt.edu
150-minute laboratory session each week. Students from all four disciplines are mixed insections of approximately 20 students each. The course serves as both an introduction to collegeand an introduction to engineering. Lectures focus on survival skills and other topics importantto freshman engineers, such as note taking, problem solving, engineering estimation, significantfigures, professionalism and ethics. Approximately eight of the laboratory sessions are devotedto open-ended project-based learning used to reinforce lecture topics. The rest are used forexams, to view and discuss videos, etc.Freshman Clinic I is additionally designated as a “Rowan Seminar” course. Rowan Seminarclasses are university-wide courses designed to help freshmen
engineering knowledge to solve materials relatedproblems; designing and conducting experiments, characterizing materials, and properlyinterpreting data, designing a materials based system, functioning on teams whose members haveinterdependent and complimentary skills; identifying, formulating, and solving problems;communicating technical information; and using techniques, skills, and modern engineering toolsnecessary in materials science and engineering.Course evaluations provided the following options for students to choose from: stronglydisagree, disagree, mildly disagree, mildly agree, agree, and strongly agree, where a numericalvalue was affixed to each response. In this case, a value of 1 was affixed to strongly disagreeand a value of 6 was
conducted by Piguet et al. have shownthat students are motivated most when they are given the chance to apply theory in practice anddesign a machine (i.e. a robot) [6]. Practical aspects of a course (hands-on labs and projectassignments) generally attract curious students to the course. Studies have shown that up to 90%of what we see and touch is remembered whereas only 10-15% of what we hear remains.Therefore, beyond having the potential to attract curious students, hands-on laboratory practice isvery important in order to facilitate learning of the theoretical information presented inclassroom. Kolb defines learning as a process whereby knowledge is created through thetransformation of experience [7]. Evidently the best way to experience
, environmental, and biomedicalapplications. Most sensors are based on electrical transducers. Alternatively, sensors based onflow in microfluidic channels formed on plastic ‘chips’ can also detect forces and torque, withvisual or electrical readout. Students designed, fabricated, and tested simple, postage-stamp-sized microfluidic sensors for attachment to head, headbands, or deployment in helmets andother sports and protective equipment, to detect excessive-impact forces and torques. Thesesensors are based on actuating colored liquids through microfluidic channels formed in a smallplastic chip when inertial forces and torques exceed a threshold level associated with surfacetension and channel geometry. While design and fabrication of prototypes was
engineers andcontemporary engineering problems. Seven one-hour laboratories are included during thesemester. Homework focuses on the development of an ability to solve engineering scienceproblems in the topic areas. There are two semester exams and a cumulative final, allemphasizing problem solving.Table 5: Schedule of Topics in Introduction to Engineering.Topic WeeksFields of Engineering 1Engineering Design 2Units and Dimensions 0.5Engineering Estimates 0.5Introduction to Electrical Engineering 3Introduction to Mechanics 3Mass and Energy Conservation
an on-going assessment component. This project includes a comprehensiveassessment program, which is being carried out under the auspices of University of Missouri –Rolla’s Media Development and Design Laboratory. This assessment is based on a model thathas been employed effectively in other related projects [11, 12]. Some of the fundamental Page 7.720.8 Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition Copyright © 2002, American Society for Engineering Educationthemes of this model are: a) the assessment process is iterative, with assessment ongoing
, electro-chemicalbatteries, and supercapacitor. The electro-mechanical flywheel unit is from in-housefabrication. The batteries and supercapacitor are commercial products. A battery analyzer isused to measure and analyze different types of batteries and generate test reports. A circuitboard with switch panel for controlling the tests and data acquisition is designed to evaluate thecharacteristics of electro-mechanical flywheel and supercapacitor. Furthermore, aLabView-based computer-controlled automatic testing scheme is developed to facilitate thestudents doing laboratory experiments. All the experiments of electric energy storage units canbe automatically controlled, measured, and calculated by the developed LabView-basedsoftware.The developed
evaluation is designed to examine the extent to which the programmeets its goals of: Expanding the educational opportunities in NSE, Providing hands-on NSE laboratory experiences for students, Promoting broad and specialized NSE skills to enhance nanotechnology-related employment opportunities, Increasing student awareness of the potential applications of NSE technologies, and Increasing student understanding of the social, economic, and ethical issues which are posed by the development and adoption of NSE technologies.Data are collected through written surveys, individual interviews (by Skype) and groupobservations. Research Group staff conduct de-briefing meetings with project faculty after
participation in laboratory or demonstration exercises in conjunction with a lecture produces a more positive learning outcome. (3) Although these demonstrations are useful, critical thinking skills are necessary to transform classroom knowledge into practical application. Students who are asked to explain what they experienced are better able to think critically. Unfortunately, if a student is not required to explain their experience, answers based on partial or incorrect understanding are more likely to occur. (3) In summary, students who are engaged with various forms of learning have a richer educational experience. A combination of lectures, discussions, interactive learning and demonstrations create a learning environment which
Curricular change to address issue 1. No opportunity for all students to Implemented a design experience in a machine design participate in a mechanical systems design course and heat transfer. experience AND thermal systems design experience 2. Almost all lab experiences focused on Two inquiry-‐based laboratory exercises were designed conducting experiments (specific and implemented in an engineering measurements class instruction-‐driven) and analysis of data. and a fluids class. In both these exercises, students were
,university and tribal college faculty co-mentor tribal college students on STEM researchprojects. One or two tribal college students work with a TC mentor and a university mentor.Students do research on their respective campuses during the academic year. The interaction ofthe university professor with the TC student and mentor is mainly over the telephone or with anoccasional travel to campuses. The expectations are that the university and tribal college facultymembers would help students develop the appropriate research questions (hypotheses) andwould advise on techniques/methods of investigation, design of experiments, data analysis,drawing appropriate conclusions, preparation of presentations and reports of their findings.Imparting research
outlines some of the challenges posed by these students in our DSP aswell as Digital Communication courses and a few remedial actions we take to circumvent them.FDU Digital Signal Processing CurriculumA few words about Digital Signal Processing and Communications specialization area atFairleigh Dickinson University are in order. All graduate students admitted to FDU ElectricalEngineering program have a core requirement of completing four courses that include EENG6633– Digital Signal Processing and EENG6747 – Digital Communications. EENG6633 introducesfundamentals of Digital Signal Processing culminating in the design of Finite-duration ImpulseResponse (FIR) and Infinite-duration Impulse Response (IIR) filters [3-4] both analytically and byusing
Session 2451 Defining a new engineering course and emphasis for the 21st Century – Natural Resources Engineering Ernest W. Tollner University of Georgia(paper No 39)Abstract The goal of this paper is to evaluate the transition of the soil and water conservationagricultural engineer to the natural resource engineer considering questions of changing society,current student demographics, institutional priorities, current instructors and field of knowledge.Natural resources engineering is defined as the design of planned activities
transferstudents not completing ENGR 216 (the prerequisite course) until the spring semester of theirjunior year. ME 306 and 311 are both lab courses that were initially moved to a summer termbetween junior and senior year as part of the initial laboratory solution described in the followingparagraph.The second major challenge in implementing this satellite program was how to provide acomparable laboratory experience to the offerings on the Pullman campus. A mechanicalengineering program requires extensive and expensive laboratory space and equipment toprovide a quality education experience and meet ABET standards. The WSU BSME curriculumincludes five mechanical engineering lab courses: ME 220: Materials Lab ME 306: Thermofluids Lab ME
Experience Survey was developed at theUniversity of Washington (UW) and builds upon an Undergraduate Student Experience Surveywhich was originally designed at the UW. The Undergraduate Survey was expanded by theWomen in Engineering Program Advocates Network and administered to 29 institutions[27].The web-based Graduate Survey explores the extent to which graduate students feel comfortableand supported in their department. It asks questions about classroom experiences, laboratoryexperiences, department climate, professional development, relationships with faculty andmentors, academic program status and work/family balance. Additionally there is a questionabout career aspirations, and multiple demographic questions including marital status, children
graphicalcommunications (PO 3), experimental understanding and teamwork. Appendix 1 showsthe rubric used for the lab reports. This type of embedded classroom assessment is criticalto sustaining the continuous quality improvement program between accreditation visits.In this case, classroom assessment refers to assessment of laboratory reports, integratedproject experiences, and individual exam questions. The objective is really to extract asmuch assessment information from a single classroom activity as possible.All assessments at the Columbus campus are tied to course core learning objectives. Themost difficult task with such a direct assessment is developing the performance rubric.Many of these rubrics were created for the initial ABET evaluation of the MET
simulation exercises using ETAP. ETAP is anelectrical analysis software widely used in the commercial and industrial sectors to model, designand simulate electrical power systems [13]. It is also suitable for monitoring, control, operatortraining, optimizing, and automating power systems.Students prepared written reports that included a one to two-page conclusion where theydescribed their designs, explained the operation of the systems, discussed results, mentionedproblems they faced, stated what they have learned, and suggested ways to improve thelaboratory assignments.In this paper, we describe the laboratory activities, show how students were exposed to a widerange of applications, and provide details about the Simulink exercises, including
materials to show to future employers.IntroductionEarly in the development of the IT program at Brigham Young University we created a coursethat incorporated an introduction to the core concepts of Information Technology from theperspective of web development and deployment2,3. As we designed the course we wereconfronted with the problem of providing a cost-effective deployment experience for eachstudent. We did not have budget or space for multiple computers per student so we began toexplore virtualization as an alternative. We had been using VMware but found that we couldonly run 2-3 LAMP (Linux, Apache, MySQL and PHP/Perl) servers on our available hardwareand were thus still confronted with smaller but insurmountable budget, hardware, and
complex learning and designing instruction, and summarizes some of the criticisms andcontributions to education of each theory. Indeed, a process is presented for applying elements ofthese learning theories to constraint-based modeling.IntroductionThroughout the development of human civilization, people have learned about specific topics andhow to do certain things, often without thinking about the process through which they haveaccomplished such things. Teaching was often done by parents or “masters” with littleconsideration given to a framework for this instructional experience. Whether or not theyrecognized their own particular allegiance to a learning theory, teachers were likely teaching asthey had been taught themselves. These educational
AC 2008-1545: INTELLIGENT TUTOR FOR LADDER LOGIC PROGRAMMINGSheng-Jen Hsieh, Texas A&M University Dr. Sheng-Jen (“Tony”) Hsieh is an Associate Professor in the College of Engineering at Texas A&M University. He holds a joint appointment with the Department of Engineering Technology and the Department of Mechanical Engineering. His research interests include engineering education, cognitive task analysis, automation, robotics and control, intelligent manufacturing system design, and micro/nano manufacturing. He is also the Director of the Rockwell Automation laboratory at Texas A&M University, a state-of-the-art facility for education and research in the areas of automation
the computational domain as possible. While it iscommonplace to design an individual part with finite element software, complexinterconnected systems such as the automobile are orders of magnitude more difficult.After constructing a reasonable computational model of the physical system, one mustproperly interpret and make physical sense of the torrent of numbers that come gushingout of the simulations. One must be able to use the data to then navigate large designspaces, and finally arrive at a good result. We give our senior-level engineering studentsprecisely this type of design experience, an experience that is normally very difficult toincorporate in the curriculum.4. Infrastructure for the Curriculum TrackBelow, we list the software and
host a field trip to the WSU Vancouver campus for agroup of underrepresented students from local middle schools and high schools. The NationalAssociation of Mathematics, Engineering, and Science Achievement (MESA) has a mission tocreate opportunities for traditionally underrepresented students to pursue higher education andcareers in STEM fields. Washington MESA, established in 1982, is serving over 3,500 studentsthrough six centers across Washington State [20]. The field trip was designed to provide MESAstudents with an opportunity to have a first-hand experience with different areas of engineering,through lab tours, competitions, and hands-on activities.This paper presents details and experiences involved in organizing and managing a
, and case studies) they could help educatethe statistics instructors about engineering applications; provide high-quality resources tostatistics instructors for easy integration into their statistics courses for engineers; begin acollaboration among statistics and engineering faculty that teach the same sets of students; andprovide engineering students the motivation to learn statistics well, and be able to apply theirstatistical skills to engineering data in a meaningful and productive way.The engineering modules proposed are based on concepts and laboratory experiments from twocourses: Materials Processing (a 1st year course) and Materials Science (a 2nd year course). Bothare mandatory courses for mechanical as well as industrial engineering
university funding shortfall is even worsein Engineering and Engineering Technology programs. Technology has continued to evolve andincrease in complexity requiring new laboratory improvements to ensure that students areproperly educated and prepared to enter the new global workforce. The need for new and betterfacilities during a time of decreasing funding was a real challenge for Eastern WashingtonUniversity. The Engineering and Design department of Eastern Washington University was Page 11.1421.2housed in a 40 year old building with equipment that in some cases predated the building. Theage of the facility and the inability to upgrade the
TEACHING MICROPROCESSORS TO PRACTISING PROFESSIONALS W. Kinsner and I. Shpancer Depar1:ment of Electrical Engineering and Industrial Applications of Microelectronics Centre, Inc. University of Manitoba Winnipeg, Manitoba, Canada, R3T 2N2 Abstract Upgrading the skills of scientists, engineers, tech no logis tsand technicians involved in the design of digital systems is animportant and difficult task. The impact of microelectronics onbasic research, applied research, product development and otherengineering services has increased the need for efficient methodsof teaching aod training in the area of
PomonaAbstractService learning is an innovative training technique where a service project or service experienceis incorporated in an academic course and is evaluated as part of the course overall grade. In thispaper, we present the design, implementation, and outcomes of a senior project capstone coursewhere service learning content and K-12 outreach activities are incorporated. We collaboratedwith a community partner, Ganesha High School in Pomona city, to provide students withservice learning experiences. The first course project includes an outreach seminar to introducesolar energy to the high school students and an A-to-Z project to build a solar charging station.The second course project includes developing computer programs and teaching the high
. This was accomplished by designing a circuit and data sheet for the students to use in the laboratory.Based on all the previously stated goals and guidelines, a great deal of effort was put forth to keep the circuitsand forms simple and easy to use. Shown in Figure 1 is the activity sheet provided for each of the students tocomplete in the laboratory. About one-third of the electronic segment of this activity was allocated toexplanation of the circuit, its function, instrumentation and data taking techniques. Additional work stationswere set up in the lab for hands-on experiences in soldering and resoldering techniques. In this segment of theelectronic lab experience the students soldered discrete electronic components into proto boards
lowincome, low socioeconomic status, racial and ethnic minorities, and individuals with disabilities)are at increased risk for transportation disadvantage and may experience an increase in barriersrelated to overall quality of life and well-being due to these compounding factors [14].The case of Robert Moses and the Southern State Parkway’s Bridges presents several topicscommon in an undergraduate course on transportation engineering, including: clearance height ofoverpass structure above a roadway, geometric design considerations, vehicle classification,construction materials, resource allocations, user input, design life, and human behavior factors. 4.3. Geotechnical Engineering: Hurricane Katrina Levee FailuresIn late August 2005, Hurricane
course content is the requirement for students tounderstand economic contexts by maintaining budgets. First, students are given budgetaryrestrictions to which they must adhere in terms of wind tunnel model fabrication. Wind tunnelmodels are primarily fabricated from rapid prototyped materials with an estimated cost of $5.00per cubic inch. The budget allocated for each team is $550.00 based on previous wind tunnelmodel fabrication experience. Students must design their models to be structurally sound whilemaintaining this budget. This design task is challenging due to the strength limitations of therapid prototype material. Steel substructure is included in the models to provide strength and toallow the models to mount to the wind tunnel balances