methods like theoretical calculations or general simulations will not work. Network simulators like OPNET, NS2, and GloMoSim are able to handle the large amounts of nodes and traffic needed to test broadcast methods. Because they can configure nodes into groups, they can test how groups can help improve broadcast methods. This project was about the use of simulation techniques for VANET applications.e. Offloading CPU Intensive Applications to the Cloud Using Java RMI Abstract: The term “cloud computing” is becoming more and more popular in the mass media, but what does the term really mean and what are its implications? The current consensus of the definition of the “cloud” is the combination of hardware and software provided
Paper ID #28847A Multi-Year Case Study in Blended Design: Student Experiences in aBlended, Synchronous, Distance Controls CourseProf. Alisa Gilmore P.E., University of Nebraska, Lincoln Alisa N. Gilmore is an Associate Professor of Practice in the department of Electrical and Computer En- gineering at the University of Nebraska – Lincoln. Her expertise is in teaching and developing courses in robotics, telecommunications, circuits and control systems. She serves as the chair of the Continuous Improvement of Teaching and Learning committee in the College of Engineering, and assessment coor- dinator for the ECE department
then a Postdoctoral Fellow with the Applied Electrostatic Research Center, the University of Western Ontario. Since 2007, she has been with the Department of Electrical and Computer Engineering, Gannon University, Erie, PA, where she is currently an Assistant Professor. Her research interests include electrical machinery design, modelling and analysis of electric drives, and control of electric drives.Mr. Yuzhe Zhang, Gannon UniversityJiawei Zhang, Gannon University Page 24.427.1 c American Society for Engineering Education, 2014 Development of lab activities for an ECE
, he teaches Intro to Engineering, circuits I & II, senior lab, and embedded controls courses. His research interests are robotics, embedded control systems, and teaching methodologies and effectiveness.Dr. John J. Burke P.E., Western New England University John Burke received the B.S.E.E. degree from Northeastern University in 1984, and the M.S.E.E. de- gree from University of California at Los Angeles in 1986, and the Ph.D. degree from the University of Massachusetts Amherst, in 1993. Dr. Burke joined the faculty of Western New England University (WNE) in 2000 and since 2004 he has been an assistant professor of electrical and computer engineering. Dr. Burke’s primary teaching inter- ests are
either costly or required special licensing. The Microsoft Zune, however, avoids thoseproblems. The Zune is relatively inexpensive and is supported by an excellent SDK and IDE, both ofwhich are free. In this paper, we describe our experience teaching mobile gaming with the Zune. Weexplain how the Zune platform is used, we outline the projects we use, the topics covered in lecture, andwe give examples of game developed by students. In addition, we provide student assessment of thecourse. We describe how the course supports our ABET course and program outcomes.1. IntroductionMobile gaming is one of the most important and growing segments of the computer games industry1. Itdrives hardware and software innovation in the smartphone market segment
controlled in similar fashion. This provides alearning advantage over simply watching a simulation because students are required to do theexperiment themselves using physical movements similar to those used in the real world. As aresult, they learn the procedure by performing it, and will have better recollection of SEMimaging procedures when required to use a real SEM later on.In order to gauge the efficiency of the VR laboratory in teaching students correct lab procedures,a group of 12 students was introduced to the VR lab and asked to complete an experiment. The12 students were selected from UVU's computer science, computer engineering, electricalengineering, and animation and game development departments to ensure they had decentexperience in
Page 13.606.4would not be able to access their network drives (hence statements of frustration such as “I can'tfind any of my files”). This problem was easily remedied by hardwiring each computer with anEthernet cable prior to booting the computers. The second disadvantage was that of computersin a classroom setting; it was only too easy for students to periodically be tempted to surf theweb instead of following the class material.All students enrolled in the course were asked to complete the use survey (Figure 1) at the end ofthe term; five students responded. Four of the five students recommended continuing use of theTablet PCs. The other observations were: • The positive aspect identified by all was the ability to take notes directly on
playing custom-made animations or video clips. Interactive VolVisexamples running on an educational tool can facilitate this teaching and learning process to a large extent. Therefore,both instructors and students can potentially benefit from using an interactive pedagogical tool for VolVis.In this paper, we present VolumeVisual, a web-based educational software tool that illustrates essential concepts andalgorithms in VolVis. DVR and IR are utilized to enrich students’ understanding of volumetric data sets generatedfrom real-world medical applications and scientific simulations. Students can evaluate and compare these two differenttechniques in side-by-side panels to better grasp the pros and cons of each method.The motivation of VolumeVisual
Paper ID #28735Using a Pedagogical Agent to Support Students Learning to ProgramDylan Keifer Finch, Virginia Tech I am a Master’s student researching computer science education and human-computer interaction at Vir- ginia Tech.Prof. Stephen H Edwards, Virginia Tech Stephen H. Edwards is a Professor and the Associate Department Head for Undergraduate Studies in the Department of Computer Science at Virginia Tech, where he has been teaching since 1996. He received his B.S. in electrical engineering from Caltech, and M.S. and Ph.D. degrees in computer and informa- tion science from The Ohio State University. His research
the 3 values (V, i, R) are consistent with each other. Since they have to connect the multimeter in series with the resistor to measure current, this provides a good opportunity to talk about how multimeters work and the function of the shunt resistor.3. Power dissipation in a resistor – Student calculate the power dissipated in a resistor in series with the 9V battery, and select the minimum “safe” size of a resistor to use with the 9V battery for the 0.5 W rated resistors. If the students connect the 10 Ω resistor by itself with the battery for more than a few seconds it will start to smolder.4. Measurement uncertainty – Students repeat the previous experiment and calculate power three different ways across a resistor (P = Vi
apply information discerningly from a variety of sources; andcommunication in diverse settings and groups, using writing (both reading and writing), oral(both speaking and listening), and visual means.In the English composition class, students write original video game narratives in groups; in theirCS1 computer programming class students implement these stories using Alice, a computerprogramming environment that supports the creation of three-dimensional animations; and, in theCS0 survey course, students explore architectural and hardware issues to describe a possible gamedelivery platform. The concepts and skills introduced in the computer courses are contextualizedby a problem (game design) that is relevant to students and connected to
AC 2011-1825: THE INSIDE-OUT CLASSROOM: A WIN-WIN-WIN STRAT-EGY FOR TEACHING WITH TECHNOLOGYDaniel J. Waldorf, California Polytechnic State University Dr. Daniel Waldorf is a Professor in Industrial and Manufacturing Engineering at Cal Poly State Univer- sity. He received his Ph.D. in industrial engineering in 1996 from the University of Illinois at Urbana- Champaign. At Cal Poly he teaches mainly in the manufacturing processes area, including Manufacturing Process Design, Tool Engineering, Computer-Aided Manufacturing, and Quality Engineering. He worked for two years in Chicago as a Quality/Manufacturing Engineer at ATF, Inc., a supplier of specialty cold- formed and machined components for automotive applications
and refinementsincluding a Frequently Asked Questions page. The contest web site also provides free downloadsof the client software for the contest, the second technology support.Client software. The West Point Bridge Designer client software isprovided at no cost. It runs on any Windows computer, presenting avirtual design problem in a graphical form that resembles anengineering drawing of a real job site where a pin truss bridge is tobe erected across a river gap. The contestant “builds” a virtualbridge, placing joints and members by manipulating a simplifiedComputer-Aided Design (CAD) user interface. Finally thecontestant determines whether her design is successful with a singlebutton press that causes a simulated truck to pass over the
fact of the matter is that it is usually much easier and muchmore enriching to bring a team together. To that end, we highly recommend finding a team withpedagogical, content, technology, media, and data knowledge.Figure 4. The TPACK framework15 expanded to include media knowledge (MK) in green anddata knowledge (DK) in orange, reflecting the new demands in educational video production.Recommendation #7: Don’t rely just on online videos.While online videos can be an important part of an effective learning environment, don’toverlook other online or computer-based tools. Online interactive simulations such as PhETs(https://phet.colorado.edu/) or interactive textbook, homework, and discussion platforms (e.g.,Piazza (https://piazza.com), zyBooks
AC 2008-2513: DEVELOPMENT OF EDUCATIONAL APPLICATIONS FORSMARTPHONESAleksandr Panchul, UTSA Aleksandr Panchul received M.Sc. in Computer Science from Moscow Institute of Physics and Technology in 1997. He is currently a PhD student at the Department of Electrical and Computer Engineering of the University of Texas at San Antonio. His research interests include software engineering, digital communications, distributed systems, 3D animation, virtual environments, CPU emulators and mobile applications.David Akopian, UTSA David Akopian received the M.Sc. degree from the Moscow Institute of Physics and Technology in 1987 and Ph.D. degree from the Tampere University of Technology (TUT), Finland
flipped classroom approaches, this paper begins byidentifying some open issues with respect to the use of blended delivery more specifically withinSTEM. Those are used to identify how the described approach fits into the larger body of workand the subsequent sections describe in detail what is novel about this approach. Case studies areelicited from both a required core undergraduate Electrical and Computer Engineering course(EEL3801: Computer Organization) and a core Mechanical Engineering course (EML4142: HeatTransfer I) in which the techniques of STEM-BDP were applied for multiple semesters.Conventional instructional delivery relying upon live lecture, homework assignments, andsynchronous in-class exams remains as the predominant delivery mode
needs an internet-connected desk lamp, with Wi-Fi and BLE, and fullanalytics support, is discussed during class, somewhat tongue-in-cheek.LAMPIWe decided to name the custom-designed desk lamp to foster a more comprehensive IoT system,with a little branding, logo, common User Interface (UI), etc. We settled on “LAMPI” as theproduct name (see Figure 2).Embedded SystemDeciding on the embedded system (processor family, memory, I/O, etc.) involved a compromisebetween a few constraints • Cost and form-factor of available Single-Board Computers (SBCs) and related development tools (embedded development often requires special hardware debuggers, cross-compiler toolchains, etc.) • Sufficient computing resources for networking
thecollage. Students would then share their collages with their peers in the gallery page. Studentsparticipated enthusiastically in these activities, with students sharing many artifacts (visual col-lages, audio collages, digitally created animations, etc.) on the gallery pages. But it is not clearthat this is collaborative learning of computing concepts (such as iteration or recursion etc)1 . Inthe case of the architecture course at Georgia Tech, one of the main points of the course was tohelp students develop skills to design various structures. Hence, a gallery of designs they produceand the resulting comments, suggestions for changes, etc., would help the students’ growth as de-signers and architects. By contrast, the point of the computing
the main topic for the DesignWorkshop is that in addition to involving the electrical and mechanical engineering disciplines,robotics deals with other sciences and humanities subjects, such as animal and human behaviorimitation, learning techniques, and environment interactions. Robotic systems can relate to mostprocesses in nature and human behavior. Because of this, their potential as educational tools forteaching and learning various subjects in technology and sciences is unlimited 1.The design and implementation of an autonomous navigation vehicle requires a broad knowledgein areas traditionally not covered in a single discipline. These areas include electrical andcomputer engineering, computing sciences, mechanical engineering, and other
.- 4.1-4 described his experience in conductingresearch in a purely undergraduate electrical engineering program in a historically teaching-oriented, master-level institution in which undergraduate utilization was critical due to absence ofengineering graduate students.This presentation will survey his long-term experience with undergraduate research in asemiconductor materials-oriented research program, and how student perspectives andexpectations, and the management/mentoring paradigms involving such, have evolvedsignificantly, for example, in relation to the advent of computer technology and the Internet. Itwill update the strategies presented in his 1985 paper 1 with the tempering of 25 additional years ofexperience with opportunities and
, Firefox, etc. h. Subscribing – RSS aggregators.3. Apply (carrying out or using a procedure through executing or implementing. Applying relates and refers to situations where learned material is used through products like models, presentation, interviews and simulations10): a. Illustration (Corel, CAD/CAM, Paint, online tools, Comic creation tools) Simulation (graphic tools, Google sketchup, Aspen, LabView, etc.) b. Sculpture or Demonstration (CAD/CAM, graphics, screen capture, 3D images, Blender, etc.) audio and video conferencing - Skype). c. Animation & screen capture (Camtasia, Camstudio, iMovie, Movie maker, Grab, Snagit, Office
steadily growing technology that superimposes virtualenhancements onto a user's view of their actual environment in real time. These enhancementsinclude static images, 2D and 3D objects, dynamic computer-generated simulations, audionarration, and other special effects to create an immersive and interactive experience for the user.AR has been implemented in numerous educational settings to enhance the learning experienceof students studying STEM [12]. The findings of Ropawandi et al. [13] demonstrated that ARtechnology significantly boosted the comprehension of 11th grade students' understanding ofelectrical principles in an experimental group as compared to a control group. The disparitybetween the groups was predominantly pronounced in the
Paper ID #37002Work-in-Progress: Enabling Secure Programming in C++ &Java through Practice Oriented ModulesKenneth Andrew GuernseyJacob Matthew Tietz (Purdue University Northwest) Graduated from Purdue University Northwest with a Bachelors in Computer Engineering.Quamar Niyaz Quamar Niyaz received the B.S. and M.S. degrees in computer science and engineering from Aligarh Muslim University, in 2009 and 2013, respectively, and the Ph.D. degree from The University of Toledo, in 2017. He has been an Assistant Professor in computer engineering with the ECE Department, Purdue University Northwest, since 2017. He has
AC 2007-1918: MENTOR GRAPHICS’ SYSTEMVISION SOFTWARECURRICULUM INTEGRATIONMatthew Knudson, Oregon State University Matt Knudson is a second-year graduate student at Oregon State University. He received his B.S. in Electronics Engineering in 2005 from OSU and is currently working on his Ph.D. in Mechanical Engineering with a graduate minor in Computer Science. His research is in advanced system dynamics and intelligent control systems. Matt has designed and executed computer aided design projects for four academic terms of introductory system dynamics and control and is scheduled to teach introductory mechatronics Spring of 2007 at OSU. Matt currently mentors two senior design teams, one
after conducting the virtual teaching module. The simulation was designed to teach thequeuing theory concept to students with little to knowledge about the topic. The quiz is dividedinto two parts which consisted of 15 conceptual questions and 5 analytical questions (SeeAppendix A). The secondary objective was to understand students’ perceived workload tocomplete the conceptual knowledge quiz using the NASA TLX.Previous studies (Phase I), current studies (Phase II), and future studies (Phase III)In a previous study (phase I) we tested whether the VR teaching module would improve students’knowledge gain and motivation compared to traditional teaching methods specific to the queuingtheory concept. Thirty-six undergraduate and graduate students
learning is thetopic of this study. A number of journal articles are available that address teaching core engineering courses,and this situation is true for the teaching of Process Control and Automatic Control. Mostpublished papers (e.g., Edgar et. al., 2006; Khier, et. al., 1996; and Seborg et.al, 2003) addressthe course content and issues like whether frequency response should be included in the course,the proper role of dynamic simulation, and design of physical laboratories. Recently, a fewstudies have addressed teaching and learning methods that could be applied to any appropriatecontrol course content. Rossiter (2014) describes blended learning using YouTube videosdeveloped for students to prepare before class. The class was large
AC 2010-1094: DESIGNING OF A COURSE CONTENT SERVER FOR THEDISTANCE LEARNING DELIVERY FORMATOmer Farook, Purdue University, Calumet Professor OMER FAROOK is a member of the faculty of the Electrical and Computer Engineering Technology at Purdue University Calumet. Professor Farook received the Diploma of Licentiate in Mechanical Engineering and BSME in 1970 and 1972 respectively. He further received BSEE and MSEE in 1978 and 1983 respectively from Illinois Institute of Technology. Professor Farook’s current interests are in the areas of Embedded System Design, Hardware – Software Interfacing, Digital Communication, Networking, Image processing and Biometrics, C++, PHP and Java Languages. He
Formulae Equations Mathematical Formulae Computer Chemical Formulaic simulations formulae Acting out Gesturing Gestural Showing Hand Showing set relative Bodily Positions gestures size
, and multivariable control. Dr. Rodriguez has given over 70 invited presentations - 13 plenary - at international and national forums, conferences and corporations. Since 1994, he has directed an extensive engineering mentoring-research academic success and professional development (ASAP) program that has served over 500 students. These efforts have been supported by NSF STEP, S-STEM, and CSEM grants as well as industry. Dr. Rodriguez’ research inter- ests include: control of nonlinear distributed parameter, and sampled-data systems; modeling, simulation, animation, and real-time control (MoSART) of Flexible Autonomous Machines operating in an uncertain Environment (FAME); design and control of micro-air vehicles
Page 12.1135.10monster’s willingness to kill human beings. The students cited the monster’s ability to choose asthe ultimate criteria for judgment and that the monster “chose” to kill. At that point in the course,the students did not see the monster as a technological patchwork of human, animal and artificialparts but rather as a human possessed of independent will. On the other hand, VictorFrankenstein was not vilified for making poor decisions because he was not taught an ethicalstance by his professors. Although the oddness of the argument was apparent to the observers,the students in their self-moderated debate did not recognize the contradiction.In the second example, students resisted an open-ended assignment in which the