information and computingprofessional organizations, and non-information system organizations have codes of ethicsspecific to their organizations which emphasize occupational responsibility.To assist with this, describes [2] the following five ethical principles that apply to processinginformation in the workplace, and also provides examples of how they would be applied. 1. Informed consent. Try to make sure that the people affected by a decision are aware of your planned actions and that they either agree with your decision, or disagree but understand your intentions. 2. Higher ethics in the worst case. Think carefully about your possible alternative actions and select the beneficial necessary ones that will cause the least, or
Stavanger—is afaculty-initiated partnership during an international conference. Initial exchange began with avisiting scholar from Norway, followed by significant funding from the Norwegian government tosupport the partnership.The formal collaboration began with a two day intensive “kick-off workshop” at the University ofStavanger, where all faculty participants met face-to-face to discuss the short and long-termgoals of the partnership. This highly successful meeting enabled the faculty partners to buildworking relationships, create an action plan, and establish goals and timelines. Over the courseof the workshop, several challenges were identified, including mismatches in academic calendars,differences in the structure of graduate advising and
6. Current world map of the respondents’ place of occupation by countryConclusions and plans for future researchIn this study we have demonstrated that the IT competencies chosen by InnopolisUniversity are highly valued by a large scope of stakeholders: from high-school pupils tosenior managers and government officials.Our current study is a unique research highlighting opinions of large groups ofstakeholders in Russia. We have observed that the opinion of Russian IT professionals isstatistically close to their EU and US colleagues with some minor discrepancies in howthey rate the importance of communication skills, innovation and teamwork.We have discovered that 2/3 of girls showing interest in IT profession do not pursuedegrees in IT
with MacBook Pro, connecting with theAutonomous Terrain Sensing Vehicle, and controlling the vehicle from a remote location, theuser is given a fascinating experience by being able to change settings on the fly. The mainpoint is that every great iOS iPhone or Mac app starts with a brilliant idea. Translating the ideainto action requires planning. In the co-author’s own words, “Before you can write any code,you have to take the time to explore the possible techniques and technologies.”The core infrastructure of a Mac or an iOS app is built from objects in the UIKit or an AppKitframework. There are some resources that must be present in all Mac-based apps. Most appsinclude images, sounds, and other types of resources for presenting the app’s
graduation, Sanati-Mehrizy plans to attend medical school.Dr. Reza Sanati-Mehrizy, Utah Valley University Reza Sanati-Mehrizy is a professor of the Computing Sciences Department at Utah Valley University, Orem, Utah. He received his M.S. and Ph.D. in computer science from the University of Oklahoma, Norman, Okla. His research focuses on diverse areas, such as database design, data structures, artificial intelligence, robotics, computer integrated manufacturing, data mining, data warehousing, and machine learning. Page 25.338.1 c American Society for Engineering Education, 2012
Technology and a Director in Purdue’s Discovery Park, Dr. Dietz is responsible for the catalysis of the Purdue’s homeland security research, increasing the impact of Purdue research on society, and or- ganizing interdisciplinary projects within the university. Prior to his current responsibilities, Eric was on loan from Purdue to Governor Mitch Daniels to serve as the founding Executive Director for The Indi- ana Department of Homeland Security, a new state agency of over 300 people responsible for emergency planning, training, fire and building safety, and disaster response for 6.2 million Indiana residents. During this period, Eric led Indiana’s response to 7 Presidential Major Disasters and Emergency Declarations which
describes a mobile robot course in which students program basicbehaviors, e.g. wall following or obstacle avoidance. Berry also discusses possibilities forincluding higher level AI concepts and computer vision in future iterations of the course.Team teaching a coordinated deep learning course with a robotics course would requiresignificant planning and student cooperation between courses, but would likely have many of theadvantages described in the previous paragraph. Additional benefits to faculty could includeenhanced (multidisciplinary) collaboration and junior faculty mentorship 12 .A new generation of hardware like NVIDIA’s Jetson mobile deep learning card, combined withtransfer learning, could ease the burden of incorporating deep learning
. Page 22.1083.2Project ImplementationDuring the Spring semester in 2009 at Utah Valley University, our Advanced Database Topicsclass was approached by our instructor with a plan for a possible database project. He asked usif we would be interested in designing a database to organize Geo located specimen photographysamples for a local volunteer biology project on Mount Timpanogos - a project that originatedby a biology instructor at the same university. As a class, a few of us were already interested ingathering and organizing data from a biological point of view, and this was a great opportunity toaccomplish what we wanted as well as to create a database as an extra-curricular class project.We chose to implement this application and provide
architecture, he developed the first algorithm that allowed rendering arbitrary three-dimensional polygonal shapes for haptic interfaces (force-feedback human-computer interfaces). He holds 6 patents. c American Society for Engineering Education, 2017 Measuring revealed student scheduling preferences using constrained discrete choice modelsAbstractFor constrained student resources with large student populations it is often necessary toimplement some form of reservation or scheduling system. Examples of scheduled-accessresources can include one-on-one tutoring, machine shops or labs, and computer-based testingfacilities. For planning and resource scheduling purposes it is important to be
come to love both offensive and defensive cyber security and is currently planning on pursuing a Masters degree emphasizing Cyber Security.Dr. Dale C. Rowe, Brigham Young University Dr. Rowe has worked for nearly two decades in security and network architecture with a variety of in- dustries in international companies. He has provided secure enterprise architecture on both military and commercial satellite communications systems. He has also advised and trained both national and interna- tional governments on cyber-security. Since joining Brigham Young University in 2010, he has designed a variety of courses on Information Assurance, Cyber Security, Penetration Testing, Cyber Forensics and Systems Administration and
FDM system and that may delay the prompt delivery to current masterdata to consumers [4]. Operational MDM (FDM) can deliver significant gains in the formof operational efficiencies and process consistencies, but companies recognize thepotential risk, costs and time to enterprise-breadth data to management of such a programand seek the executive sponsorship and funding required to make it a success [9].Godinez [4], Shankar [13], Shankar and Menon [14], and Loshin [10] focusedspecifically on the factors influence have on FDM and CDM. They discussed how thesefactors influence CDM or FDM selection and the influence of business and technologyon the master data management planning. For instance Shankar [13] explained thedifference between business
distinguish among the different parts of a problem; canthe learner use this skill to debug and troubleshoot a computer program?), evaluating (can thelearner justify a stand, decision or solution to a given problem?), and, finally, creating (can thelearner plan and generate a novel product, point of view or solution to a problem?).In an earlier study 3 we found that there are two barriers for student success in computerprogramming courses: a good understanding of programming concepts and the ability to applythose concepts to write viable computer programs. Factor analysis showed that studentunderstanding of computer programming concepts falls in two meta-conceptual groups: an“algorithmic” (repetition, selection and classes) and a “structural” (methods
generation IP protocol. Wemeasure IPv6 adoption through eight adoption metrics gleaned from eleven datasets. Datacollection covers a two year period from January 2014 through December 2015.In addition, we address the implications of the sudden uptick in IPv6 adoption, as it continues ona path of accelerated expansion. The long awaited transition from IPv4 to IPv6 has implicationsfor all organizations who will soon be making the change; many of which may not be preparedfor how to systematically approach such an undertaking. Factors such as project planning, IPv6saturation, infrastructure assessment, policy redesign, and network continuity are discussed askey areas that will need to be addressed as organizations begin to adopt IPv6.Key words: IPv6
background of Prolog, search, agents, knowledge / rulebased systems, planning and natural language processing43. The following topics are coveredfrom the machine learning and computational intelligence part of the course: an overview ofmachine learning, simple learning methods, neural learning and evolutionary computations.Students from the School of Engineering and Computer Science usually take this elective course.There are four assignments for the course, two for the symbolic intelligence and two for machinelearning and computational intelligence. Through these four assignments, students gain hands-on experience in applying these techniques to real-world applications. This course offersessential background and training for the students to start
teamcollaboration. 3.6. Data Entry and QueriesOnce the schema SQL script was executed, error free, within the MySQL workbenchenvironment, test data was entered. The original queries were taken from the Access databaseand altered (both in their commands and semantics) to fit the newly created schema residing inthe MySQL environment. Ultimately, the results of the queries populate the reports generated inthe web-based User Interface (UI) application or “front-end” for the database user to completethe task. The intent was to retain the original capability of the Access database (i.e. keep all thequeries for report generation) but use an open source SQL schema and a web-based applicationfor user presentation. In addition it was planned that any user based
MainStoryboard.storyboard to plan Calculator layout. 3. Create a label and appropriate buttons for digits (0-9) entered as well as for four Page 25.985.13 operations (+, -, *, /) and Enter button. We need an Enter button because a RPN calculator puts all of its operands on a stack and then operates on them. Enter is used to push a number onto the operand stack. For example 3 Enter 4 Enter * results in 12 4. Control-click-drag from the label you created in the View window to the UILabel IBOutlet property display. 5. Control-click-drag from each button in the View window to the appropriate IBAction method. For each digit button, you
flows. In thispaper we will discuss the transition to cloud computing approach considering strategicpreparation, planning and designing, implementation and migration and optimization.The strategic planning, evaluates security risk, focusing on protecting access andproviding on-demand security options within a service catalog for IT users. The planningand designing requires close coordination among the members of the IT team, advisers,and cloud vendors. Implementation and migration involves implementing the securitytechnology design, the security portal design, automated audit, and physical safety andsecurity designs. Proven methodologies, best practices, and deep understanding of thecore systems within the cloud environment can facilitate a
scores of Concept Inventory, which is a test of multiple choiceson specific course related concepts. The change of students’ learning dispositions wasmeasured in terms of their learning motivation and learning skills by using the self-reportMotivated Strategies for Learning Questionnaire (MSLQ) developed by Printrich et al23.Students’ learning experience and satisfaction with the presented scaffoldings was measured byusing self-report surveys. Students’ participation in those self-report surveys was voluntary.The implementation and data collection plan was reviewed and approved by the IRB atauthors’ institution.Data analysis and its results In pre-test, 140 sets of valid surveys were collected from all five courses, in which 37 setswere in
10. (Optional) Discuss possible ways to re-arrange the network to avoid black or gray hats. Have the students re-arrange the network topology. Repeat message passing Suggestions: If you do not want to use candy, then try stickers, smaller erasers, or other small party favor. The hats can be of any type (paper, plastic, felt, etc.) and they do not all have to be the same (as computer networks have all kinds of nodes on them) You should plan for as many hats as you want students to participate (and generally I have everyone participate) and (minimally) 2/3 of the hats should be white
real application of knowledge occurs. Initial assessment ofapplication has only been done informally by way of students voluntarily sharing anecdotal Page 22.1379.12accounts. As the course matures, we plan to provide more thorough and valid assessment of thisparticular course objective. 7. Future Work and ConclusionComputer security education is key to combating the risks and vulnerabilities intrinsic to theInformation Age. Each day, students are inundated with alerts and pop-ups informing themabout patch updates, antivirus signatures, firewalls
images, OpenVZcan deploy several virtual machine containers within each VM images that shares a kernel withthe KVM VM image. For the parallel data systems class in which students design, build, and testa parallel file system, we are planning to have students build parallel file systems within OpenVZcontainers. The major constraint in this approach is the I/O performance bottleneck for the I/Oserver components of parallel file systems running in virtual machines that must share physicaldisks on the services on which they operate. The approach we are considering to overcome thisconstraint is to schedule final performance runs for students running on physical servers. Basedon our assessment of the cloud computing and virtualization technologies, we
resources varying from iron-nickel to silicates and possibly subterranean water ice [1].Planning landing sites for future missions to the Moon and beyond will require balancing anumber of competing objectives, such as available water ice, proximity to interesting surfacefeatures, hazard to landing craft, rovers, habitats, etc. Image data mining of extraterrestrial datasets will help automate the discovery of geological formations important for missions to theMoon, Mars, and other planetary bodies. Page 24.1065.2Planets and other bodies in the solar system share a number of visual features that provideimportant information on their formation and
reducing the complexity for end users.In the next phase of this project, we plan to conduct a usability study with current practitioners todetermine whether the tablet interface is useful to a practitioner during a therapy session. Basedon this feedback, we will modify the tablet interface, and add more behaviors to the NAO and tothe app to broaden its applicability to more patients.References[1] SoftBank Robotics, "Discover Nao, the little humanoid robot from Aldebaran | Aldebaran," [Online]. Available: https://www.ald.softbankrobotics.com/en/cool-robots/nao. [Accessed 5 July 2016].[2] SoftBank Robotics, "Choregraphe User Guide," [Online]. Available: http://doc.aldebaran.com/2-1/software/choregraphe/index.html. [Accessed 5 July 2016].[3
MIST Space Vehicle Mission Planning Laboratory at the University of Maryland Eastern Shore. In 2010, he joined Eastern Michigan University as an Associate Dean in the College of Technology and currently is a Professor in the School of Engineer- ing Technology. He has an extensive experience in curriculum and laboratory design and development. Dr. Eydgahi has served as a member of the Board of Directors for Tau Alpha Pi, as a member of Advi- sory and Editorial boards for many International Journals in Engineering and Technology, as a member of review panel for NASA and Department of Education, as a regional and chapter chairman of IEEE, SME, and ASEE, and as a session chair and as a member of scientific and
for beginners, yet flexible enough for advanced users to take advantage of as well. • Open source and extensible software - The Arduino software is published as open source tool, available for extension by experienced programmers. The language can be expanded through C++ libraries, and people wanting to understand the technical details can make the jump from Arduino to the AVR C programming language on which it's based on. Similarly, you can add AVR-C code directly into your Arduino programs. • Open source and extensible hardware - The plans of the Arduino boards are published under a Creative Commons Attribution Share – Alike license, so experienced circuit designers can make their own
activities can also automate gradingroutines and facilitates unique testing environments with variable content generation [3]. This isa powerful tool that enables the instructor to create unique assignments, and facilitates for quickand efficient grading of complex configurations.3. ConclusionsInstead of having to choose using either PT or GNS3 for network development, it might be aneven better idea to use them both together. As previously discussed, both programs target distinctaspects of an overall project, and can be used to complement each other. PT can be used to createa networking plan that incorporates the internal and external functions of a network. PT couldfurther facilitate ease of assessment and automated grading. GNS3, on the other hand
. Figure 8: Survey Results.Future WorkCurrently, the review modules on Mathematics of Engineering and Microprocessor are beingclass-tested in their respective undergraduate courses at the School of Electrical and ElectronicEngineering, Nanyang Technological University, Singapore.The next phase of the development of OnTEn website is to add more engineering contents. Tothis end, we have visited a number of universities in several countries and plan to continue thevisits to several other universities. The universities visited so far are the University of SouthernCalifornia, Los Angeles, California (USA); University of California, Davis, California (USA);California State University, Northridge, California (USA); Chinese University of Hong Kong(Hong
modules as well as to increase student participation.The planned timeline for the implementation process of the self-directed learning modules areshown in Table 2. The data collection started in the Fall 2014 semester and will continuethrough the Spring 2015, Fall 2015, and Fall 2016 semesters. Table 2. Two-Year Timeline to Implement SDL Modules in BCS 230 Course Year Semester Activity IRB approval for the pilot study, implementation of Fall 2014 three SDL modules, collection of survey data. YEAR 1 Collection of performance data and survey data. Same Spring 2015 SDL modules as Fall 2014
ablended class format. Finally in the third scenario we observed that results according to user profiles withrespect to age and to the satisfaction showed mostly that they perceived the videos as regular contents. From these 3 scenarios and considering the constant growth of video use in the Internet we canconclude the importance of observing viewers engagment and its satisfaction in watching video contents.Specially in didactic environments it is important to continue to observe the effectiveness of video use instudents' learning process and we concluded that is only from this observation that we can improve oursmaterials. We plan to continue our researches by expanding with new scenarios and with a larger number ofstudents.REFERENCES[1
graphalgorithms in exams, and the raise in final grades suggest that the methodology helped Page 26.1373.7students to learn better the material.Future workIn the future, we plan to explore the suitability of the proposed methodology to otherComputer Science courses. We have considered to use this methodology in two morecourses taught by the author: Audio Signal Processing (elective course) and Probability &Statistics (mandatory course), but we have not been able to find course contents that lendthemselves to use kinesthetic learning. Nevertheless, we still believe that other ComputerScience courses could benefit from the use of this methodology