Mingyu Lu received the B.S. and M.S. degrees in electrical engineering from Tsinghua University, Bei- jing, China, in 1995 and 1997 respectively, and the Ph.D. degree in electrical engineering from the Uni- versity of Illinois at Urbana-Champaign in 2002. From 2002 to 2005, he was a postdoctoral research associate at the Electromagnetics Laboratory in the University of Illinois at Urbana-Champaign. He was an assistant professor with the Department of Electrical Engineering, the University of Texas at Arlington from 2005 to 2012. He joined the Department of Electrical and Computer Engineering, West Virginia University Institute of Technology in 2012, and he is currently a professor. His current research inter- est
connected to BUS 2 contributed 2, 470amperes. FIGURE 4 Three-phase Short Circuit Analysis of Power SystemInclusion in the Power System CurriculumThe PowerWorld simulator tool was incorporated into the Power Systems 1 curriculum severaldifferent ways which included classroom demonstrations, take home quizzes, and small groupprojects. Many sample load flow and short circuit analysis problems were demonstrated to theclasss during the laboratory period accompanying the course. The students were required tocomplete several assignments using the simulation tool on their own personal computers. Oneparticular assignment consisted of calculating the load flow solution of a simple 3 bus networkby hand. Then, it was required to use the
- lished articles (in referred journals, conference proceedings, and technical reports), and funded projects Page 25.58.1 c American Society for Engineering Education, 2012 (approximately $3.5 million funded projects, from various government research laboratories, industrial sectors, and universities) in numerical methods, large-scale parallel algorithms and software develop- ments, finite element analysis and optimal design, and linear/nonlinear equation and Eigen-solutions have led to several international (1989 Cray Research, Inc. GigaFlops Award), national (NASA Langley Re- search
support theirinstructional needs.The specific objectives of the project include:1. Strengthening the educational infrastructure for computer science and engineering by incorporating advanced technology into courses and curricula2. Improving the delivery of laboratory and lectures3. Enhancing learning and teaching efficiency using computerized assessment platform4. Deepening students’ understanding of abstract concepts and enhancing students’ comprehension skills from theory to practice5. Promoting active learning and stimulate students’ interests in computer science and engineering subjects6. Developing support materials to assist faculty in the use of technology to support their instructional needsIn the sections below, we describe
and two hours of laboratory per week. It has three majorobjectives. To improve students’ awareness of origin, current status and future directions of the IoT. To introduce students advanced technologies that enable the emerging IoT. To teach student to be capable of developing the basic MCU based IoT applications.Course learning outcomesIn the preparation of this course, we derive the following course learning outcomes under theabove three major objectives. 1. To demonstrate the knowledge of the evolution of the IoT. 1.1 To understand the origin and current status of the IoT in industry and academy 1.2 To understand the major technology challenges for the promise of the IoT 2. To demonstrate the knowledge of
. Specifically, we explore the pedagogic implications ofcreating two types of portals: (1) Course Management System (CMS) for course materials in anongoing semester and (2) Project Archival Tool (PAT) for completed project materials.We apply our proposed methods in a first-year engineering design course taught toapproximately 180 students per semester. The course is project-based and focuses on teachingstudents basic engineering design principles and professional skills. Coupled with these lecturesare additional laboratory components in which students learn to use MathWorks Matlab, acomputational tool, and Alias Wavefront Maya, a 3D design package. The final team-basedproject encompasses skills learned in class applied to a design problem proposed by
.’ Animated computer-based lectures, presented in a standardizedsetting, could facilitate this development process.Professional engineers rely on computers for various purposes (design, verification, testing, etc.). Page 12.941.3Traditional engineering classrooms, however, are technologically unequipped to teach thecomputer skills required by industry10. This is primarily a result of limited lecture time. In thetraditional classroom model, the instructor’s lecture time is limited to teaching mathematics andtheoretical concepts. It is common for students to learn computer skills on their own, or withinthe framework of a laboratory assignment outside
, but largely uninteresting today. This perception may stem from thetraditional use of ray tracing as an offline or batch technique: until recently, generating a singleimage required either several minutes of computation on desktop systems or extremelyexpensive, highly parallel systems found only in large research laboratories. Others believe thatthe physical and mathematical underpinnings put the algorithm beyond the reach ofundergraduate students, relegating the study of the algorithm to graduate-level courses.However, we believe that ray tracing is an ideal vehicle through which to reinforce and applyfundamental concepts in computer science. To develop an understanding of the algorithm,students must integrate and extend knowledge in computer
spreadsheet use. To aidapplication, the authors have implemented bootstrap and permutation routines inExcel, Mathcad, MATLAB, and R.Example 1: Confidence Interval for the Mean and StandardDeviationThis example comes from a Junior-level Civil and Architectural Engineeringexperimental laboratory course. The students collected 10 hardness readings3 andwere asked to compute the mean, mode, median, standard deviation, 95%confidence interval for the mean, and a 95% confidence interval for the standarddeviation of the data. A typical set of readings is shown in Table 1.Table 1. Rockwell hardness readings (HRB).91 93 93 93 93 93 94 94 93 94The students constructed the 95% confidence interval of the mean and
such as originalbook references or hand-written listings. Figure 1. Learning Metadata: characteristics of a resourceDescriptions can become very large if a certain range of attributes is not selected. For thispurpose, LOM contains nine main categories. We will give more importance to its educationalfeatures, but remaining aspects must be fulfilled too. DIEEC (Electrical, Electronic and ControlEngineering Department) has compiled a large number of exercises from various subjects:analog systems, circuit theory, etc. They are a really helpful complement to laboratory sessions,as students can understand physical models of components without any risk. These digitalmaterials were disseminated through text books or instructional CD
0 0 Figure 11. Line voltage as a function of distance and time for pulse propagation.ConclusionThe authors have discussed a series of MATLAB programs written to assist in the teaching ofelectrical transmission lines. Both sinusoidal steady-state and transient behaviors areexamined graphically with dynamic animations being the most instructive. The programs can beused in the classroom or in the computer laboratory, although some careful thought by theinstructor on how they will be used is required to get the maximum benefit. These and otherpartial differential equation animation programs are available at the University of WyomingMATLAB animation resource website at www.eng.uwyo.edu/classes/matlabanimateThese
. Surprisinglylittle changed from the students’ perspective because the MCU’s cooperative OS was ported tothe new processor. The operating system API hid much of the change of the data size beneathand only minor documentation changes were required of the instructor. Some smalladministrative changes were applied to the laboratory milestones for the sake of modularity andcontinuity. The sixth offering of the course was identical to the fifth offering of the course, thoughsome aspects of the milestone requirements were made slightly more complex and the length ofassignment of some of the milestones were extended to account for this modification. Theordering of the milestones was not modified. The seventh offering of the course was identical in all
education. A virtual field-trip is a way of providing userswith some knowledge and virtual experience of a facility without requiring them to physicallyvisit the location. Virtual labs can provide remote-access to various disciplines of Science,Technology, and Engineering (STE) disciplines and are a cost-efficient way for schools anduniversities to organize high-quality laboratory work. Due to constrictions on time andgeographical distances, virtual-labs can be used to share costly equipment and resources, whichare otherwise available to a limited number of users. The Photovoltaic (PV) Applied Researchand Testing (PART) Lab encompasses a 1.1 MW PV power plant with three solar paneltechnologies, metrological and radiometer stations, and PV testing
Paper ID #20161CLOUD SIMULATION OF A FLEXIBLE MANIPULATOR SYSTEMProf. Abul K. M. Azad, Northern Illinois University Abul K. M. Azad is a Professor in the Technology Department of Northern Illinois University. He has a Ph.D. in Control and Systems Engineering and M.Sc. and B.Sc. in Electronics Engineering. His research interests include remote laboratories, mechatronic systems, mobile robotics, and educational research. In these areas, Dr. Azad has over 100 refereed journal and conference papers, edited books, and book chapters. So far, he has attracted around $1.7 million in research and development grants from various
help them to access them as a reference if there is a need.MethodologyThe VR-based framework design from a computer graphics perspective include the following: - A VR laboratory capable of delivering conceptual (theoretical) and practical CG training - Extensible VR modules designed to support immersion, navigation, and interaction - Coursework materials and laboratory exercises delivered in a paced manner to support face-to- face and distance-learning curriculumThe desktop VR is delivered through a simple website enhanced with a browser plug-in(illustrated in results section). The website’s content is arranged in a simple lesson format. Thelessons are arranged by increasing complexity and difficulty with the more essential
navigation features; however, it requires modification toallow for successful navigation.MethodsTwo electrical and computer engineering faculty members and a senior undergraduatemechanical engineering student developed the curriculum for the course. Our goal was toprovide enough theory to allow the students to progress rapidly in the laboratory exercises. Thecurriculum was divided into ten 2.25 contact hour sessions. We also planned a related session onsupercomputers and modeling. The session on supercomputers was taught by a Department ofMathematics faculty member. Also, a field trip was taken to the National Center forAtmospheric Research (NCAR) - Wyoming Supercomputing Center (NWSC) and a nearby hightechnology Walmart regional distribution center
either be executed by users on the server-side or remote-side. This choicecan be altered with ease at any time. The development of two sample VIs created as webdocuments, for an undergraduate and a graduate engineering mechanics course are included anddiscussed in the paper to clearly illustrate the power and utility of this type of Virtual Instruments.LabVIEW Virtual Instruments published as HTML files also seem to have a great potentialapplication in the area of experimental research. Using these files, the investigators have theopportunity to remotely monitor the health of structural members in the field or laboratory withoutactually needing to be present at the experimental site for the entire duration of the experiment. Thiscapability of
mechatronics program at ourinstitution has experienced a steady growth trying to meet this need. However, the curricularchanges that follow these fast-paced technologies are often difficult to implement in theclassroom in a timely manner. Often, new products become available but without appropriatedocumentation for quick implementation in educational laboratories. It may take a year or longerto develop a set of laboratory exercises for a new microcontroller or a 3D printer. Thus, theknowledge must come from other informal sources, like workshops, technical presentations,conferences, etc. Students are taught to embrace change and keep current. This is in accordancewith ABET EAC General Criterion 3, Student Outcomes1 (i) “a recognition of the need for
Virginia University Institute of Technology Mingyu Lu received the B.S. and M.S. degrees in electrical engineering from Tsinghua University, Bei- jing, China, in 1995 and 1997 respectively, and the Ph.D. degree in electrical engineering from the Uni- versity of Illinois at Urbana-Champaign in 2002. From 1997 to 2002, he was a research assistant at the Department of Electrical and Computer Engineering in the University of Illinois at Urbana-Champaign. From 2002 to 2005, he was a postdoctoral research associate at the Electromagnetics Laboratory in the University of Illinois at Urbana-Champaign. He was an assistant professor with the Department of Elec- trical Engineering, the University of Texas at Arlington from 2005 to
, 2016.[2] N. Rutten, W. R. van Joolingen, and J. T. van der Veen, “The learning effects of computer simulations in science education,” Computers & Education, vol. 58, no. 1, pp. 136–153, Jan. 2012, doi: 10.1016/j.compedu.2011.07.017.[3] Z. A. Syed et al., “Evaluation of Virtual Reality Based Learning Materials as a Supplement to the Undergraduate Mechanical Engineering Laboratory Experience,” p. 11.[4] A. Akbulut, C. Catal, and B. Yıldız, “On the effectiveness of virtual reality in the education of software engineering,” Computer Applications in Engineering Education, vol. 26, no. 4, pp. 918–927, 2018, doi: 10.1002/cae.21935[5] E. A.-L. Lee, K. W. Wong, and C. C. Fung, “Learning with Virtual Reality: Its
; Sons, New York. Everett and Swain, “Whirlwind I Computer Block Diagrams,” Report R-231, MIT Servomechanisms Laboratory, 1946. Gilmore, J. T., Jr., and H. P. Peterson, “A Functional Description of the TX-0 Computer,” Memorandum 6M- 4789-1, MIT Lincoln Laboratory, Lincoln, MA, October 1958. On-line (retrieved 8 July 2004) at http://bitsavers.org/pdf/mit/tx-0/6M-4789-1_TX0_funcDescr.pdf Goering, Richard, “Doors 'open' to hardware,” EE Times, 6 June 2005. Hanna, K. 2002. Interactive visual functional programming. In Proceedings of the Seventh ACM SIGPLAN international Conference on Functional Programming (Pittsburgh, PA, USA, October 04 - 06, 2002). ICFP '02. ACM Press, New York, NY, 145-156. Kay, A., “Computer Software
possibleexperiments. The course, low cost robot, three developed laboratory modules, and results of thestudent evaluations are discussed in this paper.Overview of Microcontrollers and Robotics CourseSeveral years ago the Computer Science Department in the Watson School of Engineering andApplied Science at Binghamton University we designed and began to offer an upper-divisionundergraduate course entitled Microcontrollers and Robotics1. This was done in response to thereality that an important application of computer science is that of using embeddedmicrocomputers to control hardware systems. These are ubiquitous in electronic devices foundalmost everywhere in modern society, and, in particular, in embedded control systems and robotsused in industry, science
the LabVIEW software, the basics of LabVIEW are taught within the ENRG-1403course. Fundamentals of LabVIEW and examples are given in both the classroom and lab.The ENGR-1403 students are also not required to have previous knowledge of programmablelogic and software. The students learn programmable logic controller software and hardwareapplications through the use of programmable logic controllers that are in the ENGR-1403course lab. Note that only smatterings of students in the ENGR-1403 course, mainly those thatwork in industry, do have some limited experience with programmable logic.A fire alarm system systems laboratory is used in the ENGR-1403 course with the lecture. Thisfire alarm signaling systems laboratory has programmable logic
better absorb those topics.Second, the initial run of this course proved to be too abstract. Not enough practical applicationwas provided. To the greatest extent possible, theory should be kept to a minimum, with greateremphasis on practical application. Virtually all of the standard classroom problems in AI are“toy problems,” which have little or no connection to what students would consider usefulapplications. Both classroom examples and laboratory experiments should focus on how toapply the techniques to real world problems.Finally, I was surprised that while the mathematics was difficult for the students, it was notactually beyond their reach, at least from a mechanical perspective. Technology students
Technology Scholarship awarded to a Venezuelan by the U.S. Department of State. His advisor is Dr. Ayanna M. Howard, director of the Human-Automation Systems Laboratory. Greg is member of the Institute of Electrical and Electronic Engineers (IEEE) and the American Institute of Aeronautics and Astronautics (AIAA). He has served as referee for IEEE Transactions on Fuzzy Systems, the journal of the Faculty of Engineering at the Central University of Venezuela, and the International Conference on Environmental Systems.Dr. Ayanna M Howard, Georgia Institute of Technology Ayanna Howard is the Motorola Foundation Professor in the School of Electrical and Computer Engineer- ing at the Georgia Institute of Technology. She received
, controller design and its implementation isillustrated using a physical system in the laboratory setting. The students’ survey response on theintroduction of FPGA based controller implementation in the course is mostly positive.I. IntroductionThere is a wide-spread interest in field programmable gate array (FPGA) based implementationof controllers in industrial applications1-5. FPGAs consist of reprogrammable gate array logiccircuits and offer flexibility, reliability, and high-speed parallel execution1,2,6,7. TraditionallyFPGA courses are offered in programs in Electrical and Computer Engineering (ECE)8-10. Tobetter prepare the engineering students in FPGA technology, especially those in control systemsarea, there is a need to introduce FPGA
nanotechnology has nowbrought urgent challenges to undergraduate engineering education: How to integrate theemerging nanotechnologies into classroom teaching? How to prepare our students fortomorrow’s highly competitive global job markets? And how to maintain the US’s leadershipand dominance in science and technology in an era of globalization?Funded by Department of Education, a project is carried out to integrate nanotechnology into theundergraduate science and engineering curricula through a sequential preparation approach fromintroductory freshman to the advanced senior level. The curricula are reinforced by innovativecomputer simulations and state-of-the-art nanomaterials laboratory experiments anddemonstrations. The work presented in this paper is
industry engineers. Note that thename “DSK” and “eXperimenter Kit” are considered synonymous in this context. LogicPD notesthat the OMAP-L138 eXperimenter Kit is well suited to a wide range of applications, includingthose that require high-speed data transfer and high-capacity storage, such as test and measure-ment, public safety radios, music effects and intelligent occupancy sensors.1 A photograph of theZoomTM OMAP-L138 eXperimenter Kit is shown in Figure 1. Compared to the older, but by nomeans obsolete, Texas Instruments (TI) TMS320C6713 digital signal processing starter kit (DSK),this new system significantly lowers the cost for educators to implement real-time laboratory ex-ercises and demonstrations in their courses. The current suggested
Institute of Technology in December 1999. Dr. Man is currently an associate professor in the department of ECE. He is serving as the director of the undergraduate Computer Engineering program, and the director of the Visual Information Envi- ronment Laboratory at Stevens. His research interests have been in image and video processing, medical imaging, data analysis and pattern recognition. He has authored or co-authored more than 60 technical journal and conference papers on these topics. He is a senior member of IEEE and member of ASEE. Page 22.1709.1 c American Society for Engineering
thefurther integration of the CEENBoT™. These included suggestions for instructional refinementsfor this course and suggestions to achieve a cohesive integration of the platform into othercourses. Students suggested the need for a dedicated laboratory structure for this class, the needto expand upon and refine laboratory instruction, the need to achieve a steady-state in platformdevelopment, and the need to separate the course into two separate courses to allow for adedicated course in mobile robotics. They also recommended that the integration of theCEENBoT™ into the 4-year CEEN sequence continue to be developed and coordinated betweeninstructors.Programming exercises with the CEENBoT™ required the electronics engineering majors to“catch up on some