. Ogunfunmi, “Pedagogy of a course in speech coding and voice-over-IP”, ASEE 2008 Annual ConferenceProceedings, AC2008-2673[2] B. Barkana, “A graduate level course: audio processing laboratory”, ASEE 2010 Annual ConferenceProceedings, AC2010-1594[3] V. Kepuska, M. Patal, N. Rogers, “A Matlab tool for speech processing, analysis and recognition: SAR-Lab”,ASEE 2006 Annual Conference Proceedings, AC2006-472[4] T. Falk, W. Chan, “Performance study of objective speech quality measurement for modern wireless-VoIPcommunications”, EURASIP Journal on Audio, Speech, and Music Processing, Volume: Jan. 2009, Article No. 12,doi: 10.1155/2009/104382[5] S. Moller, W. Chan, N. Cote, T. Falk, “Speech quality estimation: models and trends”, IEEE Signal
3 decades.Daniel SchmalzelDr. Robert R. Krchnavek, Rowan UniversityDr. John L. Schmalzel, Rowan University Professor of Electrical & Computer Engineering. Interested in multidisciplinary design and laboratory education. Research interests include smart/intelligent sensors, integrated systems health management, and micro/smart grids. Page 23.388.1 c American Society for Engineering Education, 2013 Developing a State-Wide Energy Assurance Plan: Course + Work = SuccessAbstract The U.S. Department of Energy (DoE) mandates that each state prepare
and earned her MS and Ph.D. degrees in Electrical Engineering from Duke University. Her research interests are focused on engineering education, curriculum and laboratory development, and applications of statistical signal processing.Dr. Wayne T. Padgett, Rose-Hulman Institute of TechnologyProf. Kathleen E. Wage, George Mason UniversityProf. John R. Buck, University of Massachusetts, Dartmouth Page 23.402.1 c American Society for Engineering Education, 2013Developing Interactive Teaching Strategies for Electrical Engineering FacultyOverviewThe goal of this project is to develop a model
manifests itself aslower grades received on their various forms of assessment.Cooperative learning is an instructional approach in which students work together in groups on alearning task (e.g. assignment, project or laboratory) that is structured to have the followingessential elements1,2: 1. Positive interdependence. This refers to the need to have every team member involved in achieving the group task. This is implicitly encouraged, because if any group member fails to do their part, the whole group suffers the consequences. 2. Individual accountability. Each member will be held responsible for completing his/her contribution to accomplishing the group task and understanding the contributions of the other
MINDSTORMS. Apress, 2002.[5] Julie Rursch, Andy Luse, Doug Jacobson. “IT-Adventures – A Program to Spark IT Interest in High School Students using Inquiry-Based Learning with Robotics, Game Design, and Cyber Defense”. IEEE Transactions on Education, Vol. 53, Issue 1, pages 71-79, 2009.[6] Reconfigurable Computing Laboratory, Iowa State University, http://rcl.ece.iastate.edu/ Page 25.623.13
, pointers, and bit manipulationcode, such as bitwise AND, OR, and XOR. Here are two exercises that could be divided up intoone or two hour lab exercises. These exercises will require the use of Xilinx’s EDK softwarethat is made available through the Xilinx University Program6.With the given background above FPGArcade could be used for several exercises in a freshmanor sophomore computer engineering course in embedded systems. A set of exercises could bedeveloped for use in the laboratory or if the students have their own boards, they could take themhome. Here are two such possible exercises for early in a computer engineering curriculum.1) Exercises for building the architecture of a game. a) Generate a sprite and place it on the screen in a
, Analog Devices - Germany,Trenz Electronic - Germany, ESG Elektroniksystem und Logistik - Germany, Mirifica - Italy andComputer Measurement Laboratory - USA.Sixteen teams from the four regions have competed in the finals: seven teams representing Page 25.671.8Europe region, four teams from United States region, one team from India and four teams fromChina regionals. Three of the winning teams represented Europe region and two other the Chinaregion. The winners of the worldwide finals are listed in the table below:Table I: The winners of the 2011 Munich Worldwide Finals Project Description
).2. S. Coradeschi and J. Malec “How to make a challenging AI course enjoyable using the RoboCup soccer simulation system, in RoboCup-98: Robot soccer world cup II: Lecture notes in artificial intelligence, vol. 1604, pp.120-124, ed. M. Asada and H. Kitano. Berlin: Springer, (1999).3. M. Goldweber, et al. “The use of robots in the undergraduate curriculum: Experience reports,” Panel at 32nd SIGCSE Technical Symposium on Computer Science Education, Charlotte, North Carolina..4. G. Droge, B. Ferri, and O. Chiu, “Distributed Laboratories: Control System Experiments with LabVIEW and the LEGO NXT Platform,” submitted to the ASEE Annual Conference and Exposition, San Antonio, (June 2012).5. F. Klassner, K. Lehmer, J.C. Peyton Jones
with Sandia National Laboratories and was President of HKN. She moved to the University of Illinois at Urbana-Champaign for graduate school. She completed an M.S. degree in Electrical Engineer- ing in 2008 and a Ph.D in 2011. Her graduate research has resulted in two patent filings. The first patent, the culmination of her masters research, was for a pattern reconfigurable microstrip antenna. The second patent resulted from her doctoral research and was for a placement insensitive RFID antenna. Her tech- nical research interests lie in the development and characterization of new electromagnetic devices and platforms such as antennas and packaging to improve the performance of wireless systems in challenging
Polytechnic State University Brian Self is a Professor in the Mechanical Engineering Department at California Polytechnic State Uni- versity in San Luis Obispo. Prior to joining the faculty at Cal Poly in 2006, he taught for seven years at the United States Air Force Academy and worked for four years in the Air Force Research Laboratories. Research interests include active learning and engineering education, spatial disorientation, rehabilitation engineering, sports biomechanics, and aerospace physiology. He worked on a team that developed the Dynamics Concept Inventory and is currently collaborating on a grant to develop and assess Model Elic- iting Activities in engineering. Brian was the 2008-2010 ASEE Zone IV
technologies.Vladimir I Prodanov, California Polytechnic State University (Cal Poly), San Luis Obispo, CA 93407 Vlad Prodanov received MS and Ph.D. degrees, both in electrical engineering, from the State University of New York at Stony Brook in 1995 and 1997 respectively. He was with Bell Laboratories, Lucent Tech- nologies from 1997 until 2000 and Agere Systems (now LSI Logic) from 2000 to 2004. From 2004 to 2008 he was member of MHI Consulting, New Providence, NJ. Currently, he is an assistant professor with EE Dept., Cal Poly, San Luis Obispo, CA. Mr. Prodanov has worked on various electronic systems for communications and contributed to two dozen peer-reviewed publications, three book chapters, and seventeen granted US patents
applications of both probabilitytheory and statistical techniques. We then examine these applications to determine whatknowledge and skills an engineer must possess to accomplish them. Finally, we survey this listto suggest which concepts and techniques should be learned at the undergraduate level. Page 22.1559.2Data Analysis and Experimental DesignThe first place we encounter statistical techniques is in the analysis of data. This occurs both inthe laboratory of the R&D department and in the signal processing of any product that includes asensor. We find the use of arithmetic means and experimental standard deviations in thereporting of
classroom and laboratory experience. Rather than relying onlaboratory-based testing or experiments that approximate an industrial experience, Rowan bringreal-world projects into the Clinic. Benefits to the project sponsor are evident: Companiesunderscore the value they place on involving engineering students in their research activities.Benefits to the Engineering program also accrue. Resources such projects bring to campus helpprovide minor equipment and supplies, and can even be used to help provide labor dollars. Wethink the most significant benefits are realized by our students. Not only are they expandinginto areas that are not directly addressed in the curriculum, but they also further hone theirtechnical writing and communication skills as
research. Institutions in Brazil have had active programs to promote proficiency inPortuguese. Students are admitted to engineering programs in Brazil by competitiveexaminations. At the best Brazilian universities, laboratory facilities are on a par with or betterthan those in some U.S. institutions.Career paths for faculty might differ in both countries, but the goal of continuing growth incompetence is the same. In Brazilian institutions the faculty career involves acquiring themaster’s and doctoral degrees and a formal procedure for progress through full professor bycompetitive examination. The established university in Brazil typically functions with greaterself-governance than its American counterpart. Chairs, deans, and even the university
State students experienced not being required attend class, while theDarmstadt students experienced required class attendance.Interestingly, the students indicated that the courses were either about the right level or moredifficult than at their home institution. The Purdue and Penn State students indicated that nothaving routine homework and tests, with only a final exam at the end of the course, madethem a little uncomfortable. Conversely, the Darmstadt students were not used to havinghomework and periodic tests. All the students indicated that the laboratory experiences weredifferent than at their home institution. Interestingly, the Darmstadt students indicated thatinstruction was more structured than the more independent structure of their
international service management certification, developed by EXIN7 and interesting for many different computing science jobs: “ITIL v3 Foundations”. ≠ “Computer Architecture Simulation course. Concepts and terminology”. The objective of this course is to serve as a tool for improving the capacities of students in laboratory practices time. In the course the students can learn and practice using microprocessors Page 15.892.7 simulators and extract the concepts related. They will compound the structure of a Generic Microprocessor (and practice with MC68000 concretely) understanding the principal issues
linear circuit theory and are starting the study of op-amp circuits. Theframework involves mathematically understanding a nonlinear op-amp circuit, simulating thecircuit and implementing the circuit in the laboratory. The students compare and study theresults from all three approaches. The goal of this framework is to teach a few basic butvery powerful concepts which can be used to analyze practical nonlinear op-amp circuits.This paper describes the framework followed by an application to the design, simulation andimplementation of a negative impedance converter.1 IntroductionThe main objective of this paper is to present an approach (i.e..framework) for understandingnonlinear op-amp circuits. Although other frameworks have been proposed in the
publication at the level appropriate for each target audience),the PowerPoint presentations for the topic, the teaching notes including instructions on themotivation of the topic, descriptions of active-learning exercises that can be conducted during thelecture, example quizzes, and the evaluation surveys to be completed at the end of the module. Inaddition, laboratory exercises and simulations (Flash and Java animations) are beingincorporated into the module.Examples of Knowledge and Application Module DescriptionsIn this section we offer two examples: one KM and one AM. These and other modules will beevaluated during the Spring 2010 semester in our Nanophotonics EE 459 course using methodswe have developed previously [5-6].KM: Plasmonics
, Mondragon, Antonio Francisco; Purohit, Prafull, ASEE Annual Conference and Exposition, June 26 - 29, 2011.10. Interdisciplinary laboratory projects integrating LabVIEW with VHDL models implemented in FPGA hardware, Hayne, Ronald; McKinney, Mark, ASEE Annual Conference and Exposition, June 20 - 23, 2010.11. A LabVIEW FPGA toolkit to teach digital logic design, Perales, Troy; Morgan, Joseph; Porter, Jay, ASEE Annual Conference and Exposition, June 14 - 17, 2009.12. Collaborative project-based learning to enhance freshman design experience in digital engineering, Dong, Jianyu; Warter-Perez, Nancy, ASEE Annual Conference and Exposition, June 14 - 17, 2009.13. Extensive use of advanced FPGA technology in digital design education, Radu
Logic Laboratory and Programming
3 4 Total 7 13 203. Summer Experience ActivitiesAs mentioned in the Introduction, the AMALTHEA REU Program lasts 10 weeks and typicallyspans the period of mid-May through end of July every year. During the first day all REUstudents at each site participate in an orientation regarding the Program. Participants areintroduced to the rest of the AMALTHEA staff, are familiarized with the university surroundings(eateries, laboratories, library, emergency contacts, etc.), complete a variety of participationforms, are given access to a variety of resources (such as email accounts, access to labs, etc
overhaul.During the summer of 2004, the authors rewrote the course, creating a new course that focuseson technology’s impact on society. By removing circuits and machines, the course now covers abroader range of electrical engineering fields such as image and signal processing, datacompression, electronic navigation, communications, and computer networks and security. Thecourse examines current trends; with a focus on how the Coast Guard and Homeland Securityuse technology and discusses the ethical issues that arise with the potential misuse of technology.The authors developed several innovative lesson plans, laboratories and even a series of debatesto improve the students’ understanding of technological trade-offs, while developing their
Introduction to Digital Logic Design Laboratory Course,” Proceddings of 2015 American Society for Engineering Education, (Zone III). https://www.asee.org/documents/zones/zone3/2015/Active-Learning-in-the-Introduction-to-Digital-Logic- Design-Laboratory-Course.pdf[7] Aws Yousif Fida El-Din and Hasan Krad, “Teaching Computer Architecture and Organization using Simulation and FPGAs,” International Journal of Information and Education Technology, Vol. 1, No. 3, August 2011.[8] Guoping Wang, “Lessons and Experiences of Teaching VHDL,” Proceedings of the 2007 American Society for Engineering Education Annual Conference & Exposition[9] Chao Wang and Michael Goryll, "Design and Implementation of an Online Digital
laboratories [5, 6, 7, 8]. By building complete working devices in lab(often with a small amount of open-ended design), students more readily see the connectionbetween the theoretical work they are doing and its practical application in the “real world”.Course evaluation results, surveys of student interest in EE, statistics of final grades, andperformance in subsequent classes all indicate that this approach does in fact increase motivationfor non-majors and pique interest in those who might otherwise not pursue EE as a major.As we redesigned ENGR 40 to create a new course, ENGR 40M (‘M’ for “making”), we alsodrew heavy inspiration from CS 106A, the introductory computer science class at Stanford. Morethan 80% of undergraduates at Stanford take CS
Paper ID #14457Redesigning Computer Engineering Gateway Courses Using a Novel Reme-diation HierarchyProf. Ronald F. DeMara, University of Central Florida Ronald F. DeMara is a Professor in the College of Engineering and Computer Science (CECS) with 23 years of university-level faculty experience in Electrical and Computer Engineering disciplines. He has completed 180+ technical and educational publications, 34 funded projects as PI/Co-I, and established two research laboratories. He serves as the Computer Engineering Program Coordinator, the founding Director of the Evaluation and Proficiency Center (EPC) in CECS, and
software‘s capabilities as well as applications of thesoftware.4.5.7 Structure of the open source SDR/CR community and participants’ involvementOpen source projects develop a wide range of software and can be organized in various ways.Some software projects are largely efforts of corporations, such as OpenOffice.org, led byOracle. Non-profit organizations also host projects, such as Firefox from Mozilla. Other projectsare based at universities, small businesses, or government laboratories. The degree ofcommunity participation varies from project to project; some projects are primarily efforts of a Page 22.1548.13single organization, while others draw
research can promote retention for a variety of reasons. V. Tinto et. al.1 reportedthat students often fail to graduate due to a lack of persistence, rather than due to lack ofintelligence or ability. Being familiar with “hands-on” technology in a laboratory where theybecome familiar with current equipment boosts self-confidence2. Participation in research groupscan promote persistence in a variety of ways, in part by increasing personal attachment to theresearch group and the research objectives. Secondly, the mentoring process inherent in therelationship between the research supervisor and the student researchers permits identification ofproblems at critical junctures. Finally, the student researchers can learn important skills that willpromote
Paper ID #32409Resilient Course Design for Teaching a Project-based Engineering CourseOnlineDr. Xiaorong Zhang, San Francisco State University Dr. Xiaorong Zhang is an Associate Professor in Computer Engineering in the School of Engineering at San Francisco State University (SFSU). She is the Director of the Intelligent Computing and Embedded Systems Laboratory (ICE Lab) at SFSU. She has broad research experience in human-machine interfaces, neural-controlled artificial limbs, embedded systems, and intelligent computing technologies. She is a re- cipient of the NSF CAREER Award to develop the next-generation neural
-information/course-descriptions/eecs-398- software-defined-radio/[4] Grand Valley State University Course EGR 415 Communication Systems, https://www.gvsu.edu/catalog/course/egr-415.htm[5] VonEhr, Kurt, William Neuson, and Bruce E. Dunne. "Software defined radio: choosing the right system for your communications course." Proceedings of the American Society for Engineering Education (ASEE). 2016.[6] R. Economos, “gr-paint: An OFDM Spectrum Painter for GNU Radio”, https://github.com/drmpeg/gr-paint[7] Silage, Dennis A. "Incorporating PlutoSDR in the Communication Laboratory and Classroom: Potential or Pitfall?."[8] Wyglinski, Alexander M., et al. "Sample-Based Understanding of Wireless Transceivers and
Aerospace Engineering at Illinois since 2006, where he now serves as Associate Head for Undergraduate Programs. He holds an affiliate appointment in the Coordinated Science Laboratory, where he leads a research group that works on a diverse set of projects (http://bretl.csl.illinois.edu/). Dr. Bretl received the National Science Foundation Early Career Development Award in 2010. He has also received numerous awards for undergraduate teaching in the area of dynamics and control, including all three teaching awards given by the College of Engineering at Illinois (the Rose Award for Teaching Excellence, the Everitt Award for Teaching Excellence, and the Collins Award for Innovative Teaching