Paper ID #8993Execution of Remote laboratory with Learning Management SystemDr. Abul K. M. Azad, Northern Illinois University Abul K. M. Azad is a Professor with 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. He has been in academics for 15+ years, and 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 $1.7M of
UniversitySteven Grant Maclure, Idaho State University Page 24.308.1 c American Society for Engineering Education, 2014 Computing Tools in an Advanced Filter Theory CourseAbstractSignal Processing (SP, including image processing) is a course offered by manyengineering and computing programs. In our school we offer a senior-level, first-yeargraduate course with both lecture and laboratory sections. There is also an Elective EECourse, EE 4474/5574, Advanced Circuit Theory which uses analog/digital filter circuitsas main topics. Our experience has shown that some students consider the subject matterto be
noted throughout the book with noticeable influence in the content. Big Data Glossary [12], as the title suggests, provides a short overview of Big Data and machine learning terminology without particular applicability for education or classroom/laboratory environments. The Little Book of DATA SCIENCE [13] and its re-release as A Simple Introduction to DATA SCIENCE [14] provides basic information on Big Data, Hadoop, and an overview of Cassandra with Data Science applications. It has a noticeable academic focus, however, as its title suggests it is a primer to aid further exploration. MapReduce Books Data-Intensive Text Processing with MapReduce [15] addresses different MapReduce algorithm design techniques with a narrow
. Page 24.842.1 c American Society for Engineering Education, 2014 LabVIEW: A Teaching Tool for the Engineering CoursesAbstractComputer programming in languages such as Visual Basic, C++, or JAVA follow a control flowmodel of program execution. In the control flow model, the sequential order of program elementsdetermines the execution order of a program. A program written in LabVIEW uses a slightlydifferent approach compared to the conventional method known as dataflow programming.LabVIEW stands for Laboratory Virtual Instrument Engineering Workbench. This powerfulgraphical development system, developed by National Instruments (NI), is a widespread teachingtool and is used in many industries. LabVIEW can
technological devices cease to function, andvehicles drop from the sky like flies. The city is now in darkness, except for fires from thequickly accumulating accidents (see Figure A3). One falling aircraft damages the city wall,creating an escape opportunity for Lloyd, who ventures out into the fog (see Figure A4).Outside the city, the terrain seems bouncy, plastic as if manufactured, and unnaturally flat.Eventually Lloyd encounters a large, intimidating wall that stretches in all directions, with anentrance to a building called the Cypress Laboratory, which will be the main focus of the game(see Figure A5). Peering inside the laboratory, Lloyd
and education aimed at reducinglosses from earthquakes NEEScomm, the headquarters for NEES located at Purdue University,operates a network of 14 earthquake engineering laboratory sites located at universities acrossthe United States, which can be used for testing in-place or through the Internet. NEES providesspecialized equipment to the civil engineering community such as shake tables, geotechnicalcentrifuges, a tsunami wave basin, unique large-scale testing laboratories, and mobile andpermanently installed field equipment 4.The goal of the study described in this paper is to determine users’ practices and perceptions ofthe attributes of the NEEShub based on their current experience. The guiding research questionfor this study is: How do
its application in the analysis and design of RLC active circuits. Covers DC, AC, and transient analysis utilizing node and mesh analysis. Introduces the use of CAD tools. Integrates a laboratory.3. ECE 2255 Circuit Theory Lab Prerequisite: MATH 1210, PHYS 2220 Description: Laboratory for EENG 2250 develops linear circuit theory and its application in the analysis and design of RLC active circuits. Covers DC, AC, and transient analysis utilizing node and mesh analysis. Introduces the use of CAD tools.4. ECE 2700 Digital Design I Prerequisite: MATH 1050 and (CS 2810 or PHYS 2220 or ECE 2250) Description: Studies the design and application of combinational and sequential logic circuits with
Paper ID #10526Curriculum Development for Embedded Systems SecurityDr. Janusz Zalewski, Florida Gulf Coast University Janusz Zalewski, Ph.D., is a professor of computer science and software engineering at Florida Gulf Coast University. Prior to an academic appointment, he worked for various nuclear research institutions, including the Data Acquisition Group of Superconducting Super Collider and Computer Safety and Re- liability Center at Lawrence Livermore National Laboratory. He also worked on projects and consulted for a number of private companies, including Lockheed Martin, Harris, and Boeing. Zalewski served as a
IntroductionThe operating systems course is part of the classical curriculum of undergraduates in softwareand computer engineering. The content is well established from decades of iterative refine-ment and covers topics such as task management, system calls, synchronization, scheduling,memory management, and file system structure.1, 2 There are usually practical activities,or laboratory assignments, that complement the lectures. One approach to these activitiesconsists in using simulators.3–5 A simulator can help visualize the execution of classicalalgorithms, step-by-step. However, subsystems interaction is not covered from these ac-tivities, such that the global perspective is missing. The other common approach involvesprogramming a small scale
intuitive.According to Moreno, “The importance of feedback in promoting learning is inarguable butadditional research is needed to determine the effects of structured guidance on other educationalareas, methods, and student populations.”15 One way to better understand the effect of simulatedactivities on students’ learning is to expand the research to uncommon educational areas suchlearning technical concepts related to information technology (IT). Even though for severaldecades researchers have explored the use of simulation to augment the laboratory experiences inthe areas of surgery, physics, chemistry, biology, math, and dental education, there is nosignificant study that measures the effect of students’ learning of IT matters using simulationsoftware
University of Puerto Rico at Mayaguez and a BSEE degree from Polytechnic University. Professor Teixeira is an IEEE Senior Member, a Registered Professional Engineer and a former ASEE-Navy Summer Faculty Fellow.Mr. Reynaldo Lopez-Roig, Polytechnic University of Puerto Rico Mr. Lopez received his B.S. in Computer Engineering from the Polytechnic University of Puerto Rico in 2013. His work as an undergraduate research assistant was related to the implementation and benchmark- ing of parallel signal processing algorithms in clusters and multicore architectures. Mr. Lopez is currently working at the Jet Propulsion Laboratory as a Software Systems Engineer.Prof. Felix Javier Nevarez-Ayala, Polytechnic University of Puerto Rico
Turbulence Research (jointly operated by NASA Ames Research Center and Stanford University) and at the Los Alamos National Laboratory, where he worked on large eddy simulation of atmospheric boundary layer flows and source inversion of atmospheric dispersion events, respectively. His research interests include computational fluid dynamics (CFD), wind energy forecasting, parallel computing with GPUs, cavitation and multiphase flows, turbu- lence modeling, atmospheric transport and dispersion, and inverse problems.Dr. Dazhi Yang, Boise State University Dazhi Yang is an Assistant Professor in the Educational Technology Department at Boise State University. Prior to coming to Boise State, she was a postdoctoral researcher and
2013 0–4 Admission Type New/Transfer Admission Status Direct/University College Class Standing Freshman/Sophomore/Junior/Senior Gender Male/Female Math Level Pre-college Algebra/College Algebra /Calculus CIT 10600 Using a Personal Computer Completed? Yes/No CIT 11200 Information Technology Fundamentals Yes/No CIT 12000 Quantitative Analysis I Yes/No CIT 14000 Programming Constructs Laboratory Yes/No CIT 21200 Web Site Design Yes/No CIT 21400 Introduction
and enhancing their quality of education.Highly recommend this approach to attracting and retaining students to the embeddedcomputing, and wireless networking.All developed source code and curriculum material is available for use. Besides the author, thestudent coauthor is also very positive about the laboratory outcome and appreciates the enhancedunderstanding of wireless sensor networks and wireless API for Bluetooth and Zigbeeapplications. With proper mentoring, capable tutelage, and guidance, these burgeoning andtalented young students will contribute to the best practices in implementing future smart phone Page 24.234.11applications
16,000 different line items under a'microcontroller' search.Selecting the ideal MCU and DT for a particular project could be a time-consuming and tedious Page 24.1012.2task for an undergraduate student or the course designer and faculty mentor3. This is aggravated bythe fact that students are usually only familiar with the MCU, DB and IDE they have used duringtheir undergraduate classroom and lab experience. The students are challenged not just by thedesign, but by the integration of these various types of technology.There are other challenges in the curriculum too. A student takes a digital circuits and systemscourse with its laboratory
attitude development in introductory computer science. In Proceeding of the 44th ACM Technical Symposium on Computer Science Education, SIGCSE ’13, 2013.11 Eric Drever. Using Semi-Structured Interviews in Small-Scale Research. A Teacher’s Guide. ERIC, 1995.12 Heidi Fencl and Karen Scheel. Engaging students: An examination of the effects of teaching strategies on self-efficacy and course climate in a nonmajors physics course. Journal of College Science Teaching, 35(1):20, 2005.13 Jack R Fraenkel and Norman E Wallen. How to design and evaluate research in education.14 John M. D. Hill, Curtis A. Carver, Jr., Jeffrey W. Humphries, and Udo W. Pooch. Using an isolated network laboratory to teach advanced networks and security. In Proceedings
Paper ID #10108Assessing BS–CS Student Outcomes Using Senior ProjectMr. Norman Pestaina, Florida International University Mr. Norman Pestaina is a Senior Instructor in the School of Computing and Information Sciences (SCIS) at Florida International University (FIU). Mr. Pestaina completed the B.Sc. in Mathematics (Special) at the University of the West Indies in 1972, and the MS in Computer Science at the Pennsylvania State University in 1979. He has been an Assistant Staff member of the Massachusetts Institute of Technol- ogy’s Lincoln Laboratory, and Lecturer in the Department of Mathematics at the Cave Hill campus of the