Technology Conferences. Hossein served as 2002/2003 ASEE ECE Division Chair. He was IEEE Education Society Membership Development Chair and now serves as MGA Vice President (2013/2014) and Van Valkenburg Early Career Teaching Award Chair. Dr. Mousavinezhad received Michigan State University ECE Department’s Distinguished Alumni Award, May 2009. He is recipient of ASEE ECE Division’s 2007 Meritorious Service Award, ASEE/NCS Distinguished Service Award, April 6, 2002, for significant and sustained leadership. In 1994 he received ASEE Zone II Outstanding Campus Representative Award. He is also a Senior Member of IEEE, has been a reviewer for IEEE Transactions including the Transactions on Education. His teaching and re
clustersystems across a collection of virtual machines. This paper will explore the pedagogical andtechnological issues involved in the use of virtualization and cloud computing technologies forHPC education, focusing on: mixed use of physical and virtual computing environments; highperformance networking fabrics; pedagogical limitations of virtual and cloud computing; thedevelopment of an effective teaching laboratory for virtual clustering; and the performance andreliability constraints of a mixed virtual cluster environment. The paper will describe the use ofvirtualization software, specifically Xen, OpenVZ, and VMware, and an assessment of theviability of the Eucalyptus, NIMBUS, and OpenNebula cloud computing systems for use forvirtual clusters for
interfaces is an order of magnitude more thanthe simple architecture of parallel and serial ports. At the same time, the serial and parallel portscontinue to enjoy significant application in industrial control and embedded computer systems,in situations where low cost, low speed and single device communication is needed. Thissituation has given rise to the challenge that we not only need to continue teaching the paralleland serial port concepts, but also introduce the USB and Bluetooth interfacing andcommunication concepts in our courses.In this paper we present a survey of the teaching material (section 1), hardware considerations(section 2) and laboratory project demonstrations (section 3) that we have developed and used inour capstone course, to
Paper ID #11542Comparatively Mapping Genres in Academic and Workplace EngineeringEnvironmentsDr. Vukica M. Jovanovic, Old Dominion University Dr. Jovanovic is an Assistant Professor of Engineering Technology, Frank Batten College of Engineering and Technology at Old Dominion University. She is teaching classes in the area of mechatronics and computer aided engineering. Her research Interests are: mechatronics, robotics, digital manufacturing, product lifecycle management, manufacturing systems, and engineering education.Megan McKittrick, Old Dominion University Megan McKittrick is a full-time Instructor and part-time PhD
. Page 24.30.1 c American Society for Engineering Education, 2014 A collaborative, multinational cyberinfrastructure for big data analyticsIntroductionThe emergence of Big Data and Data Intensive Systems as specialized fields within computinghas seen the creation and delivery of curricula to provide education in the techniques andtechnologies needed to distill knowledge from datasets where traditional methods, like relationaldatabases, do not suffice. Within the current literature and these new curricula, there is a seeminglack of a thorough and coherent method for teaching Data Intensive Systems so that studentsunderstand the theory and the practice of these
well as differential equations (which is a co-requisite.) Since Matlab/Mathcadprograms are available in our computer laboratory, these are used throughout the course. Thetextbook by Kamen & Heck [1] is used for the course and students can access the accompanyingtextbook website. It should be noted that some class examples use both Mathcad and Matlab butthe textbook uses Matlab only. In our program we also have a senior-level elective course onfilters using the software tool called WFilter accompanying the textbook [2]. As engineeringeducators teaching undergraduate, first year graduate courses we are all aware that these toolsshould be used at the right time, right place to help student understanding and learning. Usuallya problem is
virtualization and cloud computing.This has created a significantly growing need for knowledgeable workers that are able to design,deploy, and troubleshoot these complex environments. Consequently, IT instructional programs Page 25.439.2must offer effective courses in teaching these concepts so students are able to develop the skillsnecessary to meet the growing demand by organizations.While researching potential virtualization-aware alternatives to traditional cluster kits—whichare not necessarily targeted towards virtualization or cloud computing-based environments—wediscovered that an infrastructure as a service (IaaS) cloud computing toolkit would be
programming to high school students; the other was to teach digital signal processing basics to burgeoning sophomores in the engineering technology program before they have even taken the DSP course in their junior year and work on their capstone senior project. In both cases, the delivery was well received and the students were able to understand most of the basic concepts within a very limited time. 8. Conclusions Ultimately the hardware and software laboratory material developed in this paper was developed by students for students. With basic knowledge on how FFT’s and DFT’s can be computed as well as of the Python language; there should be no problem in writing these algorithms. This paper presented a FFT, DFT
provide examples of the curriculum,what is covered and how we cover it. We also provide examples of laboratory projectsthat are used to complement the class lecture sessions. We use MATLAB software in allthe lab projects.We also discuss possible implementations of the speech coding and processing usinghardware such as DSPs. In the future, we plan to introduce the use of FPGAs for thisapplication as well.Details of the course and our experiences in developing and offering them will bepresented at the conference.IntroductionPreviously, we have developed three graduate-level courses in the Multimedia area ofSpeech to teach the fundamentals of speech coding and voice-over-IP. They are a 3-course sequence (1) ELEN 421 (Speech Coding I) (2) ELEN 422
Chair of the Department of Computer Information and Graphics Technology in the Purdue School of Engineering and Technology at Indiana University-Purdue University, Indianapolis. She is a Fellow of the Mack Center at Indiana University for Inquiry on Teaching and Learning and an Editor of the Journal of Scholarship of Teaching and Learning. Her research focuses on the scholarship of teaching and learning related to learning with technology. Page 24.592.1 c American Society for Engineering Education, 2014 Factors Affecting First Year Retention of CIT
Australia, the Australasian Association for Engineering Education (AaeE), and the USQ Teach- ing Academy. He is also a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE). He has won several learning and teaching awards, including a University Program Award in 2010 and the University Teaching Award in 2011. Page 25.835.1 c American Society for Engineering Education, 2012 Internet Access Technology and the Learning ExperienceAbstract: Internet-based technologies are now commonplace in support of learning, whether thestudents are remote from campus or not. Many
AC 2012-3612: LARGE SCALE, REAL-TIME SYSTEMS SECURITY ANAL-YSIS IN HIGHER EDUCATIONJordan Sheen, Brigham Young University Jordan Sheen is a graduate student in the School of Technology at Brigham Young University (BYU). Sheen completed a B.S in information technology at BYU in 2011, where his main interests were in cyber security and embedded systems. In his graduate program, Sheen will focus on the security of critical infrastructure components. In his spare time, Sheen enjoys walking with his wife, wrestling with his three sons, and cooing for his infant daughter.Dr. Dale C. Rowe Ph.D., Brigham Young University Dale Rowe’s is an asst. professor of IT and a director of the Cyber Security Research Laboratory. His
guiding students as well as faculty in the transition to an educational model thatpromotes the autonomy of the students7. Undoubtedly, employers worldwide value autonomouslearners; they are willing to learn, are motivated to work, are effective collaborators, are goodcommunicators, and are able to be lifelong learners. In our computer engineering program, weare trying to slowly integrate the student-centered approach to learning.The InstitutionUtah Valley University is a regional teaching university in Utah Valley with enrollment of over31,500 (Fall 2012). Established in 1941, first as a technical college, then a community college,the institution became a state college in 1993 and a regional university in 2008. UVU retainsmuch of the mission and
both teaching and research10.Nanotechnology at Wentworth Institute of TechnologyWentworth Institute of Technology has been able to introduce nanotechnology throughengineering elective courses in different engineering disciplines11. Students from differentengineering and science disciplines can take an introductory nanotechnology course to fulfilltheir elective requirements. They have designed two courses in nanotechnology. The twocourses are Introduction to Nanotechnology and Advances of Nanotechnology11.NanoScience Concentration Program (NCP) at University of Texas at BrownsvilleThe goal of this program is to introduce nanoscience, nanoengineering, and nanotechnologythrough interdisciplinary approaches into undergraduate education. Their
, developing machine code for high end in- dustrial controllers. Later he joined Illinois Technical College, Chicago, IL where he developed and taught courses in the various domains of computer communications. Dr. Ghani joined DeVry University as an assistant professor to teach engineering technology related courses but his interest in computer networking compelled him to get trained and obtained many industry certifications including CCNA (Cisco Certified Network Associate), CCNA-Security, MCP (Microsoft Certified Professional) and VCP (VMWare Certi- fied Professional); he is also a Cisco Certified Academy Instructor (CCAI). To bring real world experience into his classroom, Professor Ghani frequently gets involved in
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
A learning object repository is a digital library developed by a group of educators andresearchers to store both context and/or content while sharing, managing and reusing thisresource. This idea aims at making the knowledge units interchangeable with assessment formsin a standard way so that evaluating learning outcomes and teaching strategies results in greatereducational benefits. WReSTT-CyLE is a cyber-enabled virtual learning environment thatprovides students and educators with information on software testing, supports various types ofteaching materials in the form of learning objects (LOs), and facilitates social and medianetworking and peer study environments. Virtual Learning Environments has become a majorfield of interest in
Computational modeling and interdisciplinary projects for engineering technology students The advances in nanotechnology, tissue engineering, and robotics has precipitated the need forengineering technology students who can understand and contribute to simulation and development ofcomputer models for complex command, communications, biological and control systems.The engineering faculty at our university is developing multidisciplinary projects/classes, which includehands-on application-oriented laboratory exercises, which can actively engage students. These laboratoryprojects will also be helpful to students who will take capstone senior project coursework.This paper will discuss the new, interesting multidisciplinary projects
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
Mobile GIS and GPS software. Additionally, thiscourse provides students with the opportunity to plan and implement field surveys in a teamenvironment, as well as perform laboratory-based geospatial data analysis on informationcollected in the field. The course emphasizes the integration of geospatial technologies for fieldsurveys. Topics include: • Principles of Global Positioning Systems (40%) • Data accuracy requirements (10%) • Mobile GIS software (10%) • Field mapping planning and implementation (20%) • Location-based services and asset tracking (20%)Educational and career outcomes • Students will be able to describe the principles of Global Positioning Systems (GPS) location measurement • Students will be
Institute of Science, Israel MSc Applied Math- ematics, 1985, Weizmann Institute of Science, Israel BSc Computer Science and Mathematics, 1982, Ben-Gurion University, Israel Interests Big Data Applications in Telecommunications Software Defined Networks – operations, man- agement and orchestration Artificial Intelligence – expert systems, intelligent agents, reinforcement learn- ing Self-Organizing Networks Number TheoryProf. Richard Cliver, Rochester Institute of Technology (CAST) Richard C. Cliver is an Associate Professor in the department of Electrical, Computer and Telecommu- nications Engineering Technology at RIT where he teaches a wide variety of courses both analog and digital, from the freshman to senior
Master of Science degree in Electrical and Com- puter Engineering and a Master of Science degree in Information Security. In 2005, he was selected as a member of the Permanent Commissioned Teaching Staff (PCTS). He successfully defended his disserta- tion and graduated with a Ph.D. in Electrical and Computer Engineering in 2012 from Georgia Tech and presently focuses on the areas of computer networks, programming, and security.Mr. Scott Thomas Howie, United States Coast Guard Academy Scott T. Howie received a B.S.E.E from Drexel University in 1986 and a M.S.E.E from George Washing- ton University in 1992. He is currently a Visiting Professor at the United States Coast Guard Academy, New London, CT where he teaches in
introductionto the field of computer systems, CS0) and English Composition (EG1).In this paper we describe an innovative approach to the teaching of computing and writing tofirst-year students majoring in a Computer Systems degree at a college of technology. The themeof the learning community is the development of narratives (a plot or schematic structuring oftemporal actions) and their implementation as a video game prototype. Common student learningobjectives and general education student learning outcomes for our courses include: usecreativity to solve problems; understand and navigate systems; work productively within andacross disciplines; use the tools needed for communication, inquiry, creativity, and analysis;gather, interpret, evaluate, and
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
the advance features of this language. Companies like Xilinx, Altera, and Cadence havedesigned proper hardware interface for the use of this language. Recently, most chipmanufacturers start on VHDL (or Verilog) before the company goes to actual production of adesign. There are two aspects to modeling hardware that any hardware description languagefacilitates: true abstract behavior and hardware structure. VHDL has three parts: Library, Entity,and Architecture.Despite reviewing many undergraduate digital books, there is no reference on how to teachdifferent processes and cycles in a computer architecture/organization course by VHDL. In thispaper, the author explains how VHDL could be used to teach different topics such as: fetchcycle, decode
. Academically, he is an active researcher with several ACM and IEEE publications in virtual and augmented reality and has recently published a book chapter in the Handbook for Augmented Reality (Springer). As a graduate student in the Graphics, Visualization, and Usability (GVU) Center at the Georgia Institute of Technology, he contributed to early research in the nascent field of self-harmonizing karaoke software. He currently serves as an Associate Professor in Computer Game Design and Development, teaching courses such as Computer Graphics (OpenGL), 3D Modeling and Animation, and Production Pipeline & Asset Management. He has served in a variety of capacities academically including Interim Department Head, Associate
professors at research-intensive universities, let alone faculty at teaching-intensiveuniversities and beginning student researchers. Assessing current advances in the field,developing a unified understanding of a subdiscipline, determining interesting problems to workon is a tedious, labor-intensive, and intellectually daunting task especially for beginning studentresearchers.In a related development, there has been increased emphasis and efforts to promote undergraduateresearch across universities and colleges in the country. For example, the Council onUndergraduate Research (CUR) is a national organization established to support and promotehigh-quality undergraduate students collaborative research with faculty.1 The NationalConferences on
the team works on different parts of project. Moreover, “real world” projects have no instructors or teaching assistants who are supposed to know the right answers of homework assignments. Students become accustomed, sometimes with encouragement from the teaching staff, to seek help during office hours. However, there is no office hour in the “real world”. ● Faculty members may have “new and crazy” ideas that may be too risky for graduate students who aim to finish their degrees within two (for MS) or five (for PhD) years. The faculty members may want to form a team and perform preliminary studies without committing significant amounts of resources (such as research assistantships
University to meet the needs ofthe growing number of face-to-face and distance education students6. Laboratory experiments areuseful in teaching students skills needed for employment, and to reinforce theoretical conceptsintroduced during lectures. However, the students sometimes do not receive timely feedbackbecause it is extremely time-consuming for the instructors to grade the hands-on exercises. Thestudents usually do not have the opportunities to fix the mistakes they made in previous labs dueto lack of timely feedback. These challenges were addressed by the creation of an automatedgrading and feedback system, called BroadReach Extended, for locally designed hands-onexercises in Information Technology (IT) courses. By introducing the automatic
AC 2012-3338: OBJECTIVE-C VERSUS JAVA FOR SMART PHONE AP-PLICATIONSDr. Mohammad Rafiq Muqri, DeVry University, PomonaMr. James R. Lewis, DeVry University, Pomona Page 25.985.1 c American Society for Engineering Education, 2012 Objective-C versus Java for Smart Phone ApplicationsAbstractLearning and teaching smart phone applications development can engage our students, enhancetheir skill-set and challenge their creativity. The language of choice for iPhone development isObjective-C, while Java is primarily used for developing applications on the Android platform.Despite the strong and supportive development community many