Engineering Accreditation Commission, available at www.abet.org (accessed 12 November 2011). 10. Davis, M. (2010), “Assessing technical communication within engineering contexts”, IEEE Transactions on Professional Communication 53 (1), pp. 33-45. 11. Reave, L. (2004), “Technical communication instruction in engineering schools: A survey of top-ranked Page 26.787.9 U.S. and Canadian programs”, Journal of Business and Technical Communication, Vol. 18, pp. 452-90. 12. Felder, R.M. (2008), “A whole new mind for a flat world”, in MacLennan, J. (Ed.), Readings for Technical Communication, Oxford University Press, Don Mills
thislanguage. Matlab is not an open source language and you have to buy a license. However it iseasier for beginners, because the package includes all you need.Python and Matlab are interpreted language, which means that rather than compiling thecomplete program, bits of code can be executed in a running program/session. This is whatmakes it so suitable for scientific computing: you can quickly run part of code in a sequence, orrun the same piece of code repeatedly while improving it.C1,3,9 language was developed in 1969 by AT&T, it is also considered a general-purposeprogramming language. Unlike Python, however, C is not a dynamic language easily adapted toscript programming. C remains the most widely used programming language and it has seenmuch
Cybersecurity education.IntroductionPrepared cybersecurity workforce is necessary to fight against cyber-treats and preserve thecountry sovereignty [1]. It is estimated the workforce shortage in the U.S. public sector alone wasabout 20,000 - 30,000 per year. This shortage is both one of quantity and quality. “We not onlyhave a shortage of the highly technically skilled people required to operate and support systemswe have already deployed, we also face an even more desperate shortage of people who candesign secure systems, write safe computer code, and create the ever more sophisticated toolsneeded to prevent, detect, mitigate, and reconstitute systems after an attack” [2]. The Evans andReeder report notes that it is the consensus of the Commission
address a particular course learning outcomethat in turn is linked to a program learning outcome. This practice is often used toevaluate the effectiveness of a course as well as to identify any need for coursemodifications and improvements. When assessment is in the form of a test, then theadministration, collection and the final aggregate report generation becomes a timesconsuming task that often introduces delays in planning. In this paper we present a web-based software tool that is primarily designed and developed for automating the courseassessment process. It automates the test creation, grading and the final reportgeneration that can help save time, reduce errors and produce variety of reportsummaries for better decision making.1
Visual Logic. The general idea is to treat these casestudies as practice/reinforcement assignments that students will do in class and outside class,either in groups or individually (see below). Each case study consists of a text (a story) between2–4 pages, and some Visual Logic assignments related to the story. To make sure that studentstake this seriously, you may want to give some credit for the completion of the case studies bystudents, either as participation, classwork or homework.After you have covered the basics of sequencing, selection and repetition in Visual Logic, thecase studies should be done in the following order:1) Mind Games. (GUIDED/GROUP/IN CLASS). a. BEFORE CLASS: students should read the case study before coming to
each session(day four) after ending discussions. While both the student survey and the teacher survey wereoptional, the student survey was administered during each session, and the teacher survey wasonly emailed each session. Out of 94 surveys sent to all educators and pre-service teachersinvolved with the institute, only 33 responded to the pre-survey and fewer than 10 respondedeach week for the post-survey. For this reason, results for the teacher survey are excluded fromanalysis. Student response rate (after exclusions) can be seen broken down in Table 1. Out of101 student respondents, 7 were excluded for not taking the post-survey (absent those days),one was excluded for not taking the pre-survey (absent), and two were excluded for
, (Wiley-IEEE, 2007), and Subband Adaptive Filter- ing: Theory and Implementation (John Wiley, 2009). He is currently a Fellow of the Audio Engineering Society(AES), a Fellow of the Institute of Engineering and Technology(IET), a Senior Member of the IEEE, and a Professional Engineer of Singapore. He is also an Associate Technical Editor of the Jour- nal of Audio Engineering Society (JAES); Associate Editor of the IEEE Transaction on Audio, Speech, and Language Processing (ASLP); Editorial member of the Asia Pacific Signal and Information Process- ing Association (APSIPA) Transactions on Signal and Information Processing; and Associate Editor of the EURASIP Journal on Audio, Speech and Music Processing. He is currently
remote clients. The experimental system is connected witha local computer/server, which plays the role of a gateway between the experiment and theremote computer for clients. There should be some middleware that facilitates the informationexchange between the local and remote computers. Figure 1: Concept diagram of a remote testbed.From a technical point of view any experimental system that can be interfaced with a computervia a transducer (sensors and actuators) is a potential candidate for a remote testbed. These canbe electrical, mechanical, industrial, chemical, and even biological systems. Of course giventhe nature of an experiment, appropriate measures should be taken to ensure the safety andintegrity of the system
hosting a workshop, organizers come to a weekend training meeting and are givenassistance throughout the winter and spring in planning their own workshop. In the trainingmeeting new organizers meet previous organizers and potential session leaders; are introduced toworkshop elements, philosophy, and practices; and the established workshop infrastructure andavailable resources (e.g., application system, calendar and session templates, procedures, andfunding) are detailed. In the following months we help review plans, answer questions, andprovide general guidance as needed. New organizers also attend the summer’s first TapestryWorkshop, which takes place at University of Virginia, so they can observe a correctly-functioning event. All this
next generation (LTTng) as kernel tracer, in addition to the User-SpaceTracer (UST).12 This combination allows correlating events between the operating systemand the application. We used the Eclipse Linux Tools Tracing and Monitoring Frameworkas trace viewer for its ease of use, and also because students were already familiar with it.We also used other standard tools such as strace and hexdump.We analyzed the security implications of kernel tracing before the installation of LTTng.The IT department does not grant root access on workstations, as required to record kernelevents with perf.13 Fortunately, LTTng can be configured such that a group can trace thekernel without requiring additional privileges. Since the tracing session records events
. They also developand improve their technical writing skills in generating the formal technical reports that arerequired by the CBA, and are occasionally asked to demonstrate technical presentation skills,again with computer-aided audio-visual support. The authors present data in this paper to explorehow effective CBAs are in achieving the learning outcomes regarding concept application,teamwork, and technical writing in those mechanics courses.IntroductionThe importance of integrating the use of computers in learning and teaching engineeringmechanics has been demonstrated and heralded in the literature.1-6 Students benefit from“instructional activities involving [them] in doing things and thinking about what they aredoing.”7 The emphasis in
Internetaccess restriction imposed by some governments increased the technical challenges that wouldneed to be met by our solution.Prior to creating a custom solution, the group evaluated a wide range of commercial and open‐source streaming platforms using a robust set of objective criteria. The most important criteriawere identified as: (1) ability to stream content to any common client (PCs/Macs, Tablets,mobile phones), (2) ability to encode / transcode content into any necessary format in real‐timeor faster, (3) ability to adequately handle adverse conditions such as network congestion, and(4) ability to handle a large number of simultaneous client requests.B. system overviewTo accomplish encoding, the team erected a computing farm with a cluster of
’ feed-back throughthe discussion boards are analyzed to investigate the students’ educational experience and toidentify the possible improvements that can be applied to the virtual lab environment to achievethe course objectives. A survey is conducted to measure the students’ satisfaction level, theirability to learn from the lab exercises, the quality of the lab materials, and availability of technicalresources. The analysis of the discussion board threads shows that it is a helpful tool in terms oftechnical support to students; however, more interactive support using visual tools like virtualonline web conference lab sessions provides a better experience to students. The study shows thata thorough evaluation for the technical environment
-CLOSER), 2(1), on pages 16-27, 2012.9. The Apache Software Foundation, “Apache HBase,” http://hbase.apache.org, February, 2014.10. R.P. Padhy, M.R. Patra, and S.C. Satapathy. “RDBMS to NoSQL: Reviewing some next-generation non- relational databases,” in International Journal of Advanced Engineering Science and Technologies, 11(1), on pages 15-30, 2011.11. “Tableau Software and Hadoop Analysis,” http://www.tableausoftware.com/solutions/hadoop-analysis, December, 2013.12. The Apache Software Foundation, “Apache Hive,” http://hive.apache.org, February, 2014.13. “Apache Hive Language Manual,” https://cwiki.apache.org/confluence/display/Hive/LanguageManual, October, 2013
’ prior technical knowledge, section assignments are illustrated in Table 1. Assigninga class arbitrarily to one of these groups avoided any biasing as far as student selection and labassignments were concerned. Computer network simulation software known as ‘Packet-Trace’from Cisco Systems was used to conduct the study. Packet-Tracer’s screen shot is illustrated inFigure 1. Table 1: Control and Treatment Groups (20 Students Each) Class Group Assignment Morning Session Traditional Hands-on Group (HON) Afternoon Session Simulation with KCR Group (KCR) Evening Session Simulation with AUC Group (AUC) Weekend Session
theexperimental group (active learning) pass rates were found to be 80%. For those students whopassed the class, average grades also increased, with the average grade in the control group at 3.0and the average grade in the experimental group at 3.30. It is thus concluded that the use of theactive learning and the 3-pronged approach described above had a positive impact on courseoutcomes and student learning.1. IntroductionIn recent years, there has been a dramatic and rapid increase in enrollment in computing courses.This has put increasing pressure on Computer Science Departments to provide greater access to,and success in, key computing courses. For universities that primarily serve underrepresentedminorities and first generation college students, the
student can enroll in Husky Game Development for as many semesters as they wish as longas they can contribute to the overall goal of developing games. We generally discouragefirst-semester freshman from enrolling until they become familiar with being an independentstudent at Michigan Tech. Depending on how long the student has been at Michigan Tech, HGDis worth either one or two credits. Although most of our students are pursuing computer sciencedegrees, we also have 2D artists, 3D artists, sound design majors, software engineering majors,computer engineering majors, scientific and technical communication majors, and businessmajors. Individual departments on campus can decide if and how the credits might count towardtheir degree. Many departments
Formattewith their dependencies, were installed prior to the creation of the base image. Hadoop 2.1.0-betawas downloaded from a mirror of the source code available at apache.org but was not installed.This was due to the students installing and configuring Hadoop as part of their first laboratoryproject. Figure 1 - Generic VMWare ESXi ArchitectureEach student was assigned four VMs from the pool of all machines. In order to maximize theperformance of each VM group, the VMs were distributed across the physical machines so thatthe Hadoop Head Node and two Data Nodes all reside on different physical machines. This alsoreduced the impact that a failure of a single physical machine would have on a student’s abilityto
effectiveness of cyber attacks continue to grow and show no signs of abating.At the center of this cyber epidemic are college students whom rely on their computing andcommunication devices and the Internet more than any previous generation for their educational,social, and entertainment needs. Yet these same students have little knowledge of the threatsthey face, the potential short-term and long-term consequences of their actions and the context tomake informed security decisions.The objective of this paper is to describe our approach to practical computer security educationfor students of non-computer disciplines at the university level. Our primary objective is not todelve into the technical workings of computer security, but instead bring security
results are presented in form of tables and graphs. The graphs indicatethe learning gains in general with overall STEM focus. There were 29 questions in the surveyranging from questions on scientific understanding to various types of research abilities. Wepresent here the results in four groups. The survey questions are included in the Appendix. Pre andpost SALG surveys graphs are shown in Figures 1-4. Figure 1: Some Gains in Thinking Like a Scientist 100 Percentage of Students 80 60 40 20
and set expectations for the class session. 4. In-class Activities – The team is challenged to complete in-class activities on programming, engineering, technical, and professional skills. 5. Check for Understanding (CFU) –The last 20 minutes of class are used for students to work individually on problem targeting the main topic of the day’s activities. This performance task involves generating and submitting individualized code, but the grade may sometimes be assessed as a team rather using the team high grade, low grade, or average as well as individual scores. 6. Post Activities (PA) – Each individual is expected to complete their own program, but is allowed to leverage their team or other
structure, and overall registration guidelines. Courses are approved by thePurdue University Provost and the Indiana State Department of Education, and can be used inany Polytechnic major – as either technical or general electives. Classes were specificallydesigned to provide students with a polytechnic, cross-disciplinary approach whereby facultyacross departments work together to create challenging course requirements and outcomes. Classofferings occur each fall and spring to eligible high school juniors and seniors.Purdue offers various credit options from our course catalog which fit with the approved highschool’s specific instructional outcomes. In addition, students must adhere to an applicationprocess, and the Purdue Registrar’s office
and command logs under the student’s account; (2) resets all equipmentback to a pre-defined state; and (3) returns any unused time back to the Scheduler for another Page 23.834.5student to use. Instructors can also join a student lab session synchronously to provide real-timefeedback and assessment.Figure 1. IPv6 Security lab equipment.Lab topologyThe topology used for the labs is shown in Figure 2. The lab consists of three Cisco 1941 routersrunning an Advanced Enterprise K9 IOS release that are connected on point-to-point serial links,two Windows 7 virtual machines, and five Linux CentOS virtual machines running in VMWareESXi. The virtual
programming data across five semesters and three institutions.Spacco found that as students do incrementally-harder exercises, students' scores tended todecrease, whereas the chance of submitting correctly compiling code tended to increase. Dyke[5] recorded 124 students' activity during a programming course with the Eclipse IDE,instrumented with HackyStat [6] for activity collection. Dyke found significant correlationsbetween good programming habits during the assignment and student grades. For example, theamount of use of code generation functionalities (such as, auto-complete) in the code editor wasmoderately correlated (r-value = 0.623; p-value < 0.01) with each student's average exam grade.Helminen [1] developed a web-based Python development
, field I/O,and/or remote I/O. Normally, hardware access regarding memory allocation, access to local I/O,and similar things are also necessary. Figure 1 gives an overview of the strengths and problemsof Java against the background of these requirements. In general, Java provides advantages fortasks such as user interaction over an HMI or communication with other applications/remoteI/Os over different protocols. The close relation of Java to the Internet world makes it easy tosupport communication via protocols such as http, ftp, or SMTP.Unfortunately, other features of Java make it difficult to use it in control engineering withoutmodifications or enhancements. This concerns the resource consumption of Java as well as thereal-time capabilities
sooner and often into the K-6curriculum.KeywordsComputing science, education, lesson plan, backwards designIntroductionAdvances in computing contribute to science and engineering discovery, innovation, andeducation by facilitating representations, processing, storage, analysis, simulation, andvisualization of unprecedented amounts of experimental and observational data to addressproblems that affect health, energy, environment, security, and quality of life. Computing, asboth fundamental knowledge and a technical skill, is therefore required to contribute and tocompete in our fast-changing and global society1-3.For instance, in the United States, CS10K effort, aiming to have 10,000 high school teacherscapable of teaching some AP-level computer
1451 standards and discusshow to create WSNs and intelligent interactive devices, and interface with smart sensors andtransducers. Moreover, the WirelessHART(Highway Addressable Remote Transducer), IEEE1451, ZigBee / 802.15.4, and 6LoWPAN standards will be explained. Networking actuators andsmart sensors and real-world technical challenges will also be highlighted.Advances in computing and instrumentation have sparked the need of engineering technologygraduates who can update and improve manufacturing facilities and product design. This paper isan attempt to expose engineering technology students earlier to WSNs and other emergingtechnologies in lieu of taking WSN track in their technology curriculum.1. IntroductionThe field of wireless
, Lab 1 is relatively independent in the sense that it containsmore tutorial content regarding the basics of ROS. In addition, Lab 1 is also the session topresent to students the whole scenario of the project from the small lab projects to theculminating product.3.2 Tracking Learning through Multiple Lab Student Performance EvaluationsStudents are assessed for their performance at the end of each lab session to monitor theevolution of learning. Table 2 presents the specific tasks to be completed for each lab assignmentsession and students’ performance evaluation in the form of average percentage. Figure 1illustrates the performance evaluation data in a way reflecting the actual learning curve. An idealcurve should demonstrate a continual
difficulties encoun-tered with using OpenDSA during the first week of the experiment. Page 23.549.8F. Summary of Classroom ObservationsWe observed the treatment group to find out how the tutorials affect interactions between stu-dents, the content, and the instructor. On the first day, there were technical difficulties with theserver, making the system hard to log into and use. Thus, there were many questions about pro-cedural items such as logging in. These problems were resolved after the first day. However,generally, the same groups of students were interacting on the first and second days. While moststudents worked independently, the majority of
(1.5) is the general form of the equation that is solved. Using Taylor series expansionon the Euler’s method, we find that it is first order accurate in Δx and is only useful for linearor nearly linear functions. If the slope of the f(x,y) curve changes between changes xn andxn+1, the Euler’s method will compute an incorrect value for yn+1. This is why we chooseRunge-Kutta method since it performs a successive approximation of yn+1 by evaluating thef(x,y) function at different locations between xn and xn+1.There are numerous Runge-Kutta schemes of various orders of accuracy, we will use one ofthe popular fourth-order algorithm accurate in Δx. This algorithm consists of five steps, foursuccessive approximations of Δy and a fifth step that