., should be made available.Coincidentally, a system of community colleges exists in the country that typically provides allstudents services and teaches most supporting classes needed by engineering degrees. Many ofthese community colleges have laboratories used both for vocational and pre-engineeringprograms. These laboratories tend to be well equipped and grossly underutilized [1]. A logicalconclusion, then, suggests itself: The resources available through the community college systemmust be coupled with those of four-year programs to offer engineering programs. The solutionhas three main advantages. First, universities offering 4-year engineering programs can reach astudent population previously outside of their geographical scope without
. Through this engineeringclinic model, students learned all the inner workings of how a grid-connected PV array goesfrom concept to reality, ending with a finished product for the client. Most importantly, theRowan University clinic experience allowed students to effectively communicate withrepresentatives of the sponsoring agency and report the findings of a semester long research,design and development project.BackgroundThe four Rowan University Engineering programs offer an inter-disciplinary EngineeringClinic program, which consists of an eight-semester sequence of courses that must be taken byall Engineering students [1]. Freshman students in Chemical Engineering (ChE), Civil andEnvironmental Engineering (CEE), Electrical and Computer
obscured to discourage a circuit analysissolution. Monte-Carlo simulations were performed with the rated component tolerances toobtain ranges for acceptable measurements.A comparison between the solo and control groups for the final lab practicum grades provided ameasure of the effectiveness of solo versus team laboratory student organization. The finallaboratory practicum served as an objective and direct measurement of students' electric circuitlaboratory knowledge and skills. This study was reviewed and approved by the Human SubjectCommittee.ResultsLab Practicum Scores:The final laboratory practicum scores are summarized in Figure 1 for each of the fiveconsecutive semesters in the study. Statistical analysis was performed to compare lab
enrollment in one or more online courses reached 4.6 million students in 2008 1.The 17 percent growth rate for online enrollments is significantly higher than the 1.2 percentgrowth rate of the overall higher education student population during the same time period 2.The report of the survey entitled, “Learning on Demand: Online Education in the United States,2009″ 1 seeks to address and provide answers to some of the fundamental questions related to thenature and extent of online education. Some of the questions addressed in the report are, whetherretention of students is harder in online courses, if the learning outcomes in online courses arecomparable to face-to-face courses, or the impact of the current economic conditions on onlineeducation. The
Page 22.546.4undergraduate/graduate studies in power and energy systems and related areas including powerelectronics, signal processing and computer network security issues for emerging smart gridapplications. One such program is offered by the research group led by Professor Ned Mohan ofthe University of Minnesota.1 Many faculty members and department heads attend annualworkshops organized by this group at the University of Minnesota. In 2010, the ECEDHA Boardof Directors decided to seek funding to organize workshops for educators and industryparticipants to exchange ideas and discuss important issues on workforce and curriculumdevelopment in electric energy and power systems.Background InformationThe electric power grid is a fundamental
students successfully built and tested afunctioning Fast Fourier Transform prototype system which was presented and demonstrated tothe EE community at the University of Portland. This use of the MEP Program to implement asophisticated digital function such as the FFT was an extremely effective pedagogical experiencefor the students and the faculty. Page 22.548.2FFT Circuit Description The design of the FFT processor begins with the algorithm to be implemented. The FFTalgorithm is a “divide-and-conquer” approach which reduces the number of required calculationsfrom O(n2) to O(n·log n), where n is the number of samples. Figure 1 shows the
describes our efforts in renovating an existing non-required mechatronicscourse to upgrade the contents of the course and to improve the students’ learning experience.The main efforts include developing lecture materials, demo tools, and laboratory projectmodules employing model-based design approach, using Matlab, Simulink, and a number ofother Mathworks toolboxes. These tools simplify the process of system modeling, control design,and embedded microcontroller programming for rapid prototyping and design verification.1. IntroductionIt has long been known that teaching through examples and hands-on laboratory exercisesimprove the students’ learning experience, especially in technical multi-domain subjects such asMechatronics. However, the
to the National Highway Traffic Safety Administration (NHTSA), therewere nearly 6,500,000 auto accidents in the United States in 2009 [1]. Being involvedin a car accident is a nightmare, and the victims are often disoriented, upset, andunsure of what to do after the accident. In the worst case, the victims may be injuredtoo badly to call for help. But what if the car can call for help automatically right afterthe accident? More than 1 million motor vehicles are stolen each year in the U.S.Losing a car is surely an unpleasant experience, but what if the stolen vehicle canreport its geographical location to the owner or the police? Fortunately, commercialsecurity and safety services, e.g., OnStar and LoJack, are available today on themarket to
grandchildren and restoring his century-old Victorian home located in Colorado Springs. Contact Information: Johnnie Hancock Agilent Technologies 1900 Garden of the Gods Rd Colorado Springs, CO 80907 USA +1 (719) 590-3183 johnnie hancock@agilent.com Page 22.644.1 c American Society for Engineering Education, 2011 Evaluating Oscilloscope Sample Rates vs. Sampling Fidelity: How to Make the Most Accurate Digital MeasurementsIntroductionDigital storage oscilloscopes (DSO) are theprimary tools used today by digital designers toperform signal integrity measurements such assetup
based nanotransistor, single-electron transistor, spintronics, quantumcomputing, bioelectronic circuits, etc. Students show intense interest in these excitingtopics. Some students also choose nanoelectronics as the topic for their masterproject/thesis, and perform successful research in the field. The program has attractedmany graduate students into the field of nanoelectronics.1. Introduction to NanaoelectronicsIn the past decades, VLSI technology has achieved tremendous progress. Based onVLSI technology, computers and information technology have greatly changed thelife style of our modern human society. In the VLSI industry, there has been aconstant drive to shrink the size of transistors [1]. In this way, more and moretransistors can be
, and credit vary widely.Two distinct approaches to first course design can be categorized as either (1) an “overview,seminar-type, low or no credit experience” vs (2) an “immersive, full-credit first course in thetechnical material of the discipline.” The goals of the two types of courses differ to some extent,and both can be successful but a literature review seems to suggest that experiences of type 1have met with less success than those of type 2.Substantial success at Carnegie Mellon University is reported for a carefully designed firstcourse of type 2 for Mechanical Engineering students2. At WPI an introductory ECE course ofthis type is in place in the students’ second semester, and in the students’ first term an intense,immersive, full
class materials on DC motors are prepared based on the first principles. Theyare reasonably different from some common popular guidelines5. At the same time, thesematerials have the following (simplifying) features: 1. Only an introductory analysis of DC motors and DC generators operating in steady state is given, starting with the Lorentz force concept and linear motors. 2. DC motor resistance, the torque constant, and the voltage constant are then introduced and studied together. 3. Next, it is suggested that the class learn how to find and interpret motor constants from the datasheet is suggested next. 4. Afterwards, the torque-speed curves are studied using four measurable motor quantities: no load
”, a National Center for Education Statistics publication. It showedthat between the 2003/04 to 2007/08 academic cycles the total number of bachelor’sdegrees granted had risen by nearly 12%, while the number of Engineering and ComputerScience bachelor’s degrees dropped by nearly the same percentage. Figure 1 shows thedata over the last 25 years 1. The declines over the last few years look very similar to theearly to middle stages of the immense declines in engineering during the mid 1980s. 1600 Bachelor's Degrees Granted in U.S. 11.7% rise from 2003/04 to 2007/08 1200
established in 2009 as apartnership between nine universities in Puerto Rico and the US Virgin Islands. The BroaderParticipation in Computing-Alliance (BPC-A) was designed around the primary goal ofincreasing the recruitment and participation of students in computing disciplines. In order tofulfill this goal, Alliance members established the CCCE focused on five main objectives: 1)reach and impact economically-disadvantaged students with Alliance activities; 2) increase therecruitment of high school seniors into computing fields through hands-on research experiencesin a university setting; 3) provide professional training in computing to in-service science,computer and mathematics public and private high school teachers; 4) provide
prodigious; each new concept isbuilt on a foundation of many other concepts where the students are encouraged to think throughproblems based on concepts and not only follow a set of problem solving procedure usuallyoutlined in text books. Every new problem is an interwoven conceptual hurdle.Our goal is to help students recognize how new concepts or ideas fit together with thosepreviously learned. Computer tools such as MATLAB, EXCEL, and PSPICE cannot replace thetraditional methods for mastering circuits.An appropriate pedagogical approach using a set of teaching principles should consider theaspects that:1. Circuit analysis can be fun2. It is a marvelous education in logical thinking3. Application aspects of concepts covered toward a design4
—without the limitations of human-entered data...TheInternet of Things has the potential to change the world, just as the Internet did. Maybe even more so.”Through automating the monitoring and control of our critical infrastructure and systems [Note the IoToften is couched in other related terminology such as sensor networking and Cyber Physical Systems],13the IoT can directly support solutions to some of the most vexing problems facing the majority of theworld such as how to get a drink of clean water. The keys to this kind of success are: the shear weightof numbers;1 advanced silicon and other core technologies for micro and nano-scale sensors andactuators (MEMS), locally embedded computation and storage; standardized interfaces fortransducers
a strong programming capability. The benefits of such a laboratory course are twofold.Firstly, students learn simulation, which is widely used by engineers in the industry to verify andvalidate system designs. Secondly, these laboratory projects have been designed following theGagne‟s nine events of instruction15 which leads to an enhanced learning environment. Also,when compared to hardware based labs, such as with EMONA TIMS16, Mobile Studio17 andEttus USRP18, Simulink has the advantage of lower cost and ease of maintenance.Simulink Laboratory Projects for Communication Systems CourseSix Simulink laboratory projects are constructed to teach Simulink skills in parallel with thetheory. Table 1 enumerates topics covered in the six labs and
API libraries to access andcontrol these blocks. The processor is programmed by using the API libraries and C Language.The boards that are used in this paper are shown in Figure 1. Figure 1(a) displays the PSoC1Evaluation board while Figure 1(b) shows the wireless PSoC1 Low Power RF node. Both boardsare Cypress Semiconductor products. Page 22.437.3 Figure 1(a): PSoC1 Evaluation Kit Figure 1(b): PSoC CYFI Low Power RF NodeIII. Pulse Width Modulation Fan Control ProjectAn instructional application of embedded systems is designing an efficient fan-basedtemperature controller. Van Ess et. al presented this design project in their
arithmeticoperations3-5. Advanced functions include statistical DSP algorithms, speech processingfunctions, multirate signal processing functions and spectral analysis functions6-7. In addition, itis supported by toolboxes for image processing8, control systems9, time-frequency analysis10,analog/digital communications11 and earth system signal processing12. Furthermore, severaladvanced functions have been developed for use in electrical and computer engineeringcourses13-16. In this paper, we present new functions and exercises that have been developed anddeployed in power electronics courses.1. Introduction to J-DSP Controls J-DSP has been modified to allow control system simulations9, which provides a user-friendly environment for design and analysis of
-semester faculty exchange US -> Hochschule Darmstadt: 1 Professor (Spring 2011) One-semester faculty exchange Hochschule Darmstadt -> US: 1 Professor Short-time student exchange US -> Hochschule Darmstadt: 16 Students Short-time faculty exchange US -> Hochschule Darmstadt ->US for lecturing and administration: approx. 15 Professors Several special events and meetings for exchange organization and research collaboration A couple of joint research projects : So a RFID-Project (radio-frequency identification) about contactless object tracking and a Smart Grid
integrate concepts frompreviously taken courses such as programming, control systems, microcontrollers, andelectronics. The laboratory component of the course is project oriented involving severallow-cost mechatronic testbeds. The students go through the design of an embeddedcomputer system using open-architecture mechatronic testbeds and integrateddevelopment environments. Furthermore, the students experience automatic C codegeneration techniques using high level code generation tools in the Matlab/Simulinkenvironment which is further discussed in this paper.1 IntroductionEmbedded computer applications have experienced a rapid growth in the past few years1,2 . Developing embedded computer applications requires multidisciplinary skills 3−6
from the textbook have been covered: 1. Short review of classical motion of particles 2. Short review of milestones in nanoscience and nanotechnology. Nanostructures and quantum physics 3. Wave-particle duality and its manifestation in radiation and particle behavior 4. Layered nanostructures as the simplest systems to study electron behavior in a one- dimensional potential 5. Quantum harmonic oscillators 6. Approximate methods of finding quantum states 7. Quantum states in atoms and molecules 8. Crystals as atomic lattices 9. Quantization in nanostructures 10. Nanostructures and their applications.The textbook is accompanied by a lab manual with eight developed experiments: 1). Quantumyard stick
microcomputer with 16 assembly instructions, an 8-bitaddress bus, four input and four output ports organized as shown in Figure 1. Thememory is broken into 176 nibbles of ROM and 80 nibbles of Random Access Memory(RAM). It uses port-mapped I/O with separate memory and input/output (I/O) selectsignals. Register-transfer-logic (RTL) design techniques were used to implement thecontroller and datapath. The controller is a relatively simple mealy state machine shownin Figure 2.Figure 1. PRISM Top-Level Diagram. Figure 2. PRISM Controller State DiagramThe datapath, shown in Figure 3, uses both combinational and sequential logiccomponents. An arithmetic logic unit (ALU) performs both arithmetic and logicoperations when program instructions demand
objectives such as to create a unique product or service, usually to bringabout beneficial change or added value. The primary challenge of project management is tosuccessfully achieve all of the project goals and objectives within the project constraints relyingon optimized allocation and integration of inputs and resources. The challenge of projectmanagement comes often in the form of nonlinear progresses typically with multiple iterations.Projects can be modeled to have some common structures such as project lifecycle as illustratedin Figure 1. Although the Fig. 1 shows a more linear progress of the project development, oftenthe Project Planning and Design, Execution, and the Monitor & Control interact with each otherresulting in a repetitive
undergraduatestudents to design, construct, and characterize electrical circuits. A unique featureof this laboratory course is that the students conduct much of their work using set of Page 15.636.2equipment, known as Lab-in-a-Box (LiaB), outside of a traditional classroomenvironment. 1 The LiaB kit contains an analog/digital trainer (shown in Figure 1), adigital multimeter, various electrical components including a set of 5% resistors, anumber of capacitors and light emitting diodes, an inductor, and several operationalamplifiers. The laboratory course has been offered by the department since 2004. Figure 1: The RSR/VT A and D trainer.Rationale for
principles employed in the design ofelectronic circuits are included in the course. Students also gain experience applying PSpice toelectronic design and visualization. Circuit Analysis is a pre-requisite course. Mostly studentsfrom the electrical engineering program enroll in this course, as it is a required course for theirmajor. This course is a four credit hour course (two 75 minutes combined with a three hourlaboratory meeting each week). A pilot study was conducted for this course. The objective of thiscourse was to develop the following skills in students completing the course:1. Analyze circuits containing electronic devices using suitable models5-7.2. Analyze linear circuits containing operational amplifiers5-7.3. Design circuits
. This is all preparatory for thesecond half of the semester in which students pursue a final project based on their interests. Thisfinal project encompasses various aspects of engineering including design, fabrication,implementation, debugging, project management, and public presentation. At the end of thesemester, students are required to present their products in an annual competition presented totheir peers on the campus. This helps to complement the traditional written exam by providingthe students with invaluable hands-on experience which prepares students to be competitive aftergraduation.1. IntroductionSince 2000, reality television shows have gained significant popularity from viewers around theworld. These programs usually involve
prepared students to the subsequent years ofstudy. This is especially true for a first year course. The overall pass rate for the second year ofstudy indicates 15% improvement from 2004 to 2008. Unfortunately the overall pass rate doesnot tell the whole story. Analysis at individual student level indicates that it is the repeat studentsthat are doing better the second time around, and not the students doing second year subjects forthe first time.Table 1 shows the second year results from 2004 to 2009 for students entering second year forthe first time. Included is also the percentage of repeats in the class. The results shown in table 1 Page
, guidance, advice, data,images, tools and software to permit the user to perform a task with a minimum of support andintervention by others.Afterwards we develop DIPSEIL (Distributed Internet-based Performance Support Environmentfor Individualized Learning)4,5 as a second phase towards the stated learning objectives, based onthe improvement of the learning methods of IPSS_EE. DIPSEIL applies Internet as a mean forintegrating new technologies and as a method for a more direct synergy between the members ofthe project and their students. In this case the information, the IPSS_EE courses, weredistributed (Figure 1) in various servers throughout Europe (Ireland, Holland, France, Bulgariaand Spain). Figure 1. Distribution of the IPSS_EE