. Page 25.1009.1 c American Society for Engineering Education, 2012 Online Teaching of Senior ProjectsAbstractThe senior projects course is an important assessment tool for technology related majors. Almostevery university uses this course for evaluating graduates. The requirements for onsite teachingcan vary from university to university. Often, the course consists of research on a selected topic,design, presentation for review by judges (faculty, staff, and industry representative), and a finaldocument. Although there is much information about senior projects requirements, there are nosuggestions for teaching this course online. The following paper is a proposal of a model forpurely
AC 2012-4446: COMPUTER ENGINEERING CAPSTONE PROJECTS INTHE COMPUTER SCIENCE DEPARTMENTDr. Afsaneh Minaie, Utah Valley University Afsaneh Minaie is a professor of computer science at Utah Valley University. Her research interests include gender issues in the academic sciences and engineering fields, embedded systems design, mobile computing, wireless sensor networks, and databases.Mr. Ali Sanati-Mehrizy, Pennsylvania State UniversityMr. Paymon Sanati-Mehrizy, University of Pennsylvania Paymon Sanati-Mehrizy is currently a senior at the University of Pennsylvania, studying biology. Cur- rently, his research interests consist of higher education curricula, including within the field of wireless sensor networking. After
science from Wayne State University. He also has completed all computer science courses and passed the proficiency exam of the Ph.D. program at Wayne State University. In addition to his academic experience, El-Bathy has more than 25 years of experience in industry, working in areas including software develop- ment, database design, and computer networking design, implementing projects across many technology platforms, DBMS, network topologies, and programming languages. As a practitioner of information technology, he reached the pinnacle of his career and held a Vice President position of the Department of Information Services for a $1.6 billion financial institution, providing leadership in applying and aligning
education requires exposing students to the current edge of research and technology.To ensure that student projects are complementary to industrial development, educators mustcontinually introduce emerging techniques, technology, practices, and applications into theircurriculum. The field of wireless sensor networks is growing rapidly and has captured theinterest of various sectors. The increasing popularity of WSN has motivated universities toprovide students with a foundation in the area. It is crucial that the emerging field of wirelesssensor networks be integrated into the computer science and engineering curriculums. Thispaper studies the different approaches that are used by different institutions of higher educationaround the world to
, namely Xcode andinterface builder, although it is possible to develop Cocoa applications without using theseapplications at all. Beginning with Xcode 3.1 and the introduction of iOS, when we create asoftware project, we must choose a platform SDK. The platform SDK contains everything that isrequired for developing software for a given platform and operating-system release. The SDK foriOS (like MAC OS X SDK) consists of frameworks, libraries, header files and system tools butincludes a platform-specific compiler and other tools. There is also a separate SDK for iOSSimulator. All SDKs include build settings and project templates appropriate to their platform.Xcode and MVCXcode is the engine that powers Apple’s integrated development environment
meansthat system administrators must potentially configure a subset of the computing nodes tobecome dual-booting systems. Once all of the nodes are operational, system administrators needto be able to control the nodes in batches, while maintaining the integrity of the systems. Evenwith shell scripts and other automation tools, this process has traditionally been tedious at best.To mitigate the problems faced with deploying clusters, a number of projects have been createdcalled “cluster kits”. These software toolkits are designed to automate a large portion of theinstallation and configuration procedures.Additionally, businesses and universities of all sizes are moving their traditional ITinfrastructures to the recently emergent technologies of
are fromChinese universities and research institutes. We concentrate on the goals of the course, maincontents covered, textbooks used, and the student projects. We believe the information presented Page 25.1216.2in the paper can help design, implementation, or revision of courses on the subject of informationretrieval with various target audience groups in mind, especially for students at theundergraduate level.The data presented here about these courses are collected through their websites. Thus theinformation is inherently incomplete for many reasons, such as that the instructors didn’t havetime to update the web content, or that some
approach3,but here, we will focus mainly on frustration itself and its effects. We will first examine whetheror not the location of frustration in a discussion thread impacts various features of it, includingthe number of posts in a thread, how many users are actively involved, and the average firstresponse times of posts.We will then proceed to examine the effects that frustration has with posts close to a deadline. Itis intuitive to declare that students normally do not start assigned projects right away; in fact, it issafe to say many do the majority of the work close the deadline. After verifying that frustrationoften appears in posts made close to a deadline, we will determine whether first responses arrivewith more urgency in this situation
-time code is similarly difficult to test becausedebugging techniques are likely to interfere with the real-time response of the system. Acommon technique—debug code inserted into the source—suffers from this problem The author Page 25.266.5was involved in a project where “printf()” statements were inserted into the code to reportrunning system status –which led to the unfortunate discovery that printf() statements each take afew milliseconds to run, which was not tolerable in the environment being tested. Thus thedebugging possibilities for real-time segments are restricted.The last issue design issue mentioned in the list of characteristics
researchers and that of the instructor. Significant disparities werefound between the assumptions of the researchers and the needs of the instructor. This work waspart of a larger project to design e-learning workflows and reporting tools to monitor andinterpret online course discussions for the purpose of instructional assessment.IntroductionThe goal of the Pedagogical Workflows projectis to develop an application that instructors canuse to continuously monitor and assess onlinestudent discourse within their course discussionforums. The resulting Pedagogical AssessmentWorkflow System (PAWS) is a scalable e-learning framework that supports efficient androbust integration of diverse datasets for thepurposes of student assessment. Datasetsinclude
designed for undergraduates which focuses on understanding how toprocess speech signals. We provide examples of the curriculum, what is covered and howwe cover it. We also provide examples of laboratory projects that are used to complementthe class lecture sessions. We use MATLAB software in all the 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.The paper is divided into five sections. In Section 2, we start with the discussion ofSystems and DSP curriculum improvement. In Section 3, we give some details of theMultimedia Systems I: Speech course. In Section 4, we present a sample course projecton
accepted classification scale.Evidence - Collection Evidence, such as student homework, exams, projects, and presentations, as well ascourse syllabi and lecture notes, were collected from faculty and students. The evidence wasscanned and stored electronically in class specific folders within a departmentally sharedprogram assessment folder on the local network.SOMs - Analysis The maximum Bloom’s level found in the SOM for each of the student outcomes,without regard for the course objectives was used as a target in assessment of all student workfor each course. It was assumed that if the maximum Bloom’s level was achieved, the lowerlevels were also achieved.Evidence – Analysis A comprehensive understanding of the evidence
completed at the Centre for Advanced Technology in Telecommunications (CATT), RMIT University, Melbourne, Australia. From 2004 to 2006, he was a Postdoctoral Research Fellow with the Australian Telecommu- nications Cooperative Research Centre (ATcrc) and RMIT University, Melbourne, Australia. From 2005, he was the ATcrc networking program Project Leader. Since May 2006, he is a lecturer and since Jan. 2011, a Senior Lecturer in telecommunications at the University of Southern Queensland, Toowoomba, Australia. His research interests include green IT, teletraffic engineering, performance modelling, QoS provisioning, and engineering education. He is a member of the Telecommunication Society of Australia, Engineers
AC 2012-3306: ISPR: AN INFORMATION SYSTEM FOR PHYSICIANSRESOURCESDr. Mudasser Fraz Wyne, National University Mudasser Fraz Wyne is currently serving as a professor of computer science and Chair of Department of Computer Science, Information, and Media Systems at the School of Engineering, Technology, and Me- dia, National University, San Diego, Calif., USA. He is a lead faculty member for the B.S. in information systems and previously for M.Sc. in database administration and M.Sc. in computer science programs. Wyne has a Ph.D. in computer science, a M.Sc. in engineering, and a B.Sc., in electrical engineering. He has been in academics for 20+ years and supervised more than 50 graduate and undergraduate projects
Politehnica University of Timisoara, Timisoara, in 1992, and a M.E.Sc. degree and a Ph.D. degree in electrical and computer engineering from the University of the Western Ontario, London, Ontario, Canada, in 1999 and 2004, respectively. He was with the Applied Electrostatics Research Centre and the Digital Electronics Research Group, the University of Western Ontario, where he worked on industrial projects and taught. He is currently an Assistant Professor in the Department of Physics, State University of New York at Oswego. Ieta is a member of Professional Engineers of Ontario.Dr. Carolina C. Ilie, State University of New York, Oswego
inheritance. Of course,networking abilities and stability also play an important role, but object orientation enablescompletely new ways for code reusability and increases the efficiency of applicationdevelopments in control programming. As it is not efficient to implement the whole applicationfrom scratch for every new project, it is important to encapsulate functionalities in classes forreasons of reuse. Depending on the concrete device, by means of these classes (or interfaces),generic functions such as specific communication protocols or easy access to specific devicescan be realized. These existing classes can (if necessary) be modified or extended and then beintegrated into the application.Hence, notable potentials result for industrial
Advanced Encryption Standard method isused for both transmitted and received transmissions. However, the data must be checked tomake sure it was sent or received properly. In order to check for errors in the protocols beginsent, a cyclic redundancy checker is used.Cyclic Redundancy Check (CRC) A cyclic redundancy checker (CRC) is an error detecting hash function code that issometimes referred to as polynomial code. The CRC is generally 16 to 32 bits long and is used tocheck data for any error before and after transmission. CRC’s are most commonly used to checkdata that is being sent over a network. For the solar tracker protocol used in this project, a 32 bitCRC is used to check the data packet being sent over the master/slave network for
the field of structural design, and his research area is in finite element appplications to structural design and engineering mechanics education.Dr. Tori Rhoulac Smith, Howard University Tori Rhoulac Smith began as an Assistant Professor in the Department of Civil Engineering at Howard University in 2003. In this position, she served as an academic and research advisor, instructor for a variety of undergraduate and graduate engineering courses, and researcher on traffic engineering and engineering education projects. Feeling an overwhelming desire to work more directly on identifying and meeting the needs of increased recruitment, retention, and achievement of traditionally-underrepresented minority students
ultimately uses IaaS utilities. In addition, the project identified different levels of difficulties in courses to explore more than one layer of cloud services. Figure 4: The proposed CBECS architecture mapping Computer Science courses to the Cloud architecture (courses appearing in multiple layers have different levels). Moving from the SaaS layer to the PaaS reflects the increase in the depth, difficulty, and complexity of a course. Likewise, the move from PaaS to IaaS indicates complexity of a course Page 25.318.8with respect to the needs for details in VM configuration, networking
automatedmetareviewing technique. The statistical analysis tool R is used to carry out the text analysis [7].The lsa package available for R is used to perform classification using LSA and cosine. For textpre-processing, the text mining and natural language packages such as tm, openNLP and Wordnetare used. Page 25.245.83.1. ExpertizaReview data consisting of textual feedback provided by students was collected from courses atNorth Carolina State University that used the Expertiza system [2, 3]. Expertiza is a collaborativeweb-based learning application that helps students work together on projects and critique eachother’s work using peer reviews. Figure 1 shows
/cleantech/does-fiber-have-a-role-in-the-smart-grid-a-tennessee-utility- thinks-so/[19] http://www.techdirt.com/articles/20061130/134052.shtml[20] Overview of Department of Energy High Temperature Superconductivity (HTS) Cable Projects – NARCU Committee on electricity. Debbie Haught Program Manager. February 19th 2007[21] http://www.elp.com/index/display/article-display/333508/articles/utility-automation- engineering-td/volume-13/issue[22] ITU Whitepaper – Fiber Access Network, A Cable Operator’s Perspective by John A. Brouse Jr. Director of Network Implementation for Charter Communications, Inc. Page 25.1300.14