is part of an ongoing teaching and research project that leverages our collaborative teaching in smart phone app development. We plan to leverage this in generalizing the course offering so other interdisciplinary groups’ efforts are facilitated.Dr. Diana Mitsova, Florida Atlantic University Diana Mitsova has a background in research design, statistical and spatial analysis, as well as environ- mental planning and modeling using geographic information systems, and interactive computer simula- tion. Her primary area of research involves the impact of urban development on ecosystems and other environmentally sensitive areas.Her recent publications focus on the impact of climate-related stressors on coastal
engineering course. The main focus is on teaching students to performengineering and research projects to meet the required specifications while applying computationalintelligence techniques for autonomous robots or other applications.A series of well-prepared projects assigned to students to cover various topics in this course assist instudent learning for enhancement of research skills. Teaching and learning strategies by the project-based methodology were associated with ABET learning outcomes intended to improve studentresearch capability [3]. In this on-going project, the objective is to perform an in-depth technicalresearch consisting of multiple projects utilized on robot navigation, motion planning and mappingapplications. Opinions of
tasks for the upcoming week. This is furthersolidified by weekly status reports that provide additional reflection on the project progress,outline problems, and highlight effort expended. In addition, students are required to draft aProblem Statement, Requirements Specification, Functional Design, Project Plan, and Test Plan.The nature of the projects varies widely from continuing a previous project with well-definedexpectations to venturing into uncharted waters with only a vague sense of a reasonabledestination. Thus all of these documents are flexible in their nature. For example, the test plancould be for the final product or for a milestone. Either way it will contain similar complexityand comprehensiveness. Assessment for this semester
(global).Industry partnerships.6 Industry partners are essential for developing competency-basedcurricula. GalvanizeU/UNH is engaged with industry in various ways: in establishingcompetencies for its programs, in developing course material, in teaching and in providingmentorships, and internships for students and faculty.Continuous improvement.7 Excellence is achieved through continuous assessment, evaluationand development. GalvanizeU/UNH is committed to performance, quality, accountability andtransparency. GalvanizeU/UNH’s faculty recognize that institutional performance measurementis key to the strategic management of its resources and to rigorous planning for its future. Dataand information gathered at GalvanizeU/UNH is therefore key to its
createhigh quality assignments and associated rubrics that will foster better integration of writing intothe undergraduate, upper-class curriculum. The QEP initiative has two main programs: facultyworkshops and funding for projects aimed at enhancing student writing. The RGS-infused heuristic we develop here stemmed from funding from this QEPprogram, specifically for the development of a faculty learning community, which was part of alarger “Improving Disciplinary Writing” Action Project grant funded by this midsize researchinstitution’s (MRI) Quality Enhancement Plan (QEP). One way disciplinary writing and genrecan be explored is through faculty learning communities, or intentional groups of (ofteninterdisciplinary) faculty seeking to
% of the participants planned to incorporate at least 25% of theworkshop activities/resources into their teaching. We believe that numerous instructors (atcollege level, high school level, and middle school level) would find Google tools an excellentplatform to provide online supplements to their face-to-face instructions from multipleperspectives, including but not limited to accessibility, flexibility, and ease of employingmultimedia. After our workshop, we continue working with K-12 teachers to help them applyGoogle tools to improve their teaching.Relevant work and motivationInitiated in 2009, Google’s Computer Science for High School (CS4HS) program1 aims toprovide professional development opportunities for high school teachers in the
importance comes from their ability to drive requirements andbusiness plans. Leaders take special care to their feedback for planning MDMimplementation. Table 2 shows 62.5% of respondents are employed by large ITorganizations (organizations with 500 or more employees). A large organization iscapable of investing in training, software and hardware. This information is necessary toknow how large organizations react to the factors in comparison to small one. Therelationship between factors influencing model selection and organization size is not partof this study.In addition to this, as shown in Table 3, a majority of respondents are currently usingSiperian MDM Hub (21.3%) in their organizations. Siperian MDM solution providessupport for FDM and CDM
, map, walkthrough, encounters, critical path, and opening/closing material 5) Interface considerations including menus, rendering system, cameras, lighting, character controllers, sound effects, music, and a help system 6) Artificial intelligence (AI) including opponent AI, enemy AI, non-player character AI, player collision detection and path finding 7) Technical considerations such as platform (PC, mobile), game engine, and scripting languages 8) Game art including characters, style guides, and equipment 9) Miscellaneous including test plans and design software required The aforementioned items are not exhaustive but meant to provide insight
graduate classes areoffered either on-site or on-line, and span five schools and one college: the schools ofEngineering and Computing, Business and Management, Education, Health and HumanServices, Professional Studies, and the College of Letters and Sciences.With the large number of courses offered monthly, and over 100 academic programs,managing program scheduling is quite labor intensive. As in traditional universities, staffmembers work with department chairs to plan program and course offerings for students.A series of sequential course offerings is called a program string, and students who enrollin a string together form a cohort. Additionally at National University, faculty serve asprogram leads and are responsible for managing the
to our upcoming research investigation into the use oftechnology to facilitate WTLTP in the technology-rich environment of an introductory pro-gramming course. The purpose of our future research direction is to thoroughly investigate howWTLTP can help students learn to program. We focus on understanding the impact of WTLTPinstruction on students’ programming development in comparison to students educated by tradi-tional programming pedagogy. We also plan to investigate how WTLTP may impact students’development as writers. Finally, we have planned data collection that will offer insight into “bestpractices” for effectively integrating WTLTP in classrooms. All of our research is driven by theoverarching research question: How can intermingled
British Columbia,and Engineering Communication Program at Simon Fraser University. This course would createan opportunity to address our own standards, disciplinary values and pedagogical practices. Thegoal was to promote a more inclusive use of communication that enables engineering students todraw upon their interest in engineering and their own communicative resources.The plan was to vertically integrate the two courses, APSC 176 and APSC 201, by movingintroductory modules and assignments from the second-year course to the first-year course. Thisintegration would lay a solid foundation for continuous instruction in communication throughoutthe four years of studies for the Bachelor of Applied Science degree. It is now offered as a three-credit
required to demonstrate basic MPLS functionality. The threerouters would include one router to push labels, one router to swap and pop labels and the thirdrouter for egress from the MPLS network. Referring to MPLS examples during the explorationof MPLS and traffic engineer design planning resulted in the topology of three P and two PErouters. The combination of three P and two PE routers provides multiple Label Switched Paths(LSPs). Figure 3 demonstrates a sample of permutations for multiple LSPs distinguished bydashed and solid arrow flows, respectively.The numbers in circles indicate flows 1 through 4 sourced from and destined to computers thathave open source traffic generator software installed. The computers are labeled TG1 throughTG4, which
plan production sequence of simultaneously the class into planning team of a video, activities carry out tasks two groups. project including script, by each of the to reach a Have one group timelines, roles, props, and roles armies leading common goal. read aloud while and assignments of the team in to the the other group and working producing the Battle of provides together to video. Identify Waterloo. humming complete
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
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
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
convert the result of their research project to apaper and submit it to a conference for presentation and publication. One problem that Ifeel I need to mention is the travel expense for the student to the conference. To solve thisproblem, usually the students can sign up for a few hours of volunteer work at theconference and get their registration fee waved. Sometimes, the students are willing topay for a big part of the travel expenses because this trip becomes a vacation for themwhile securing a publication for their resume.In order to enrich the content of this data mining course, the plan is for two weeks ofteaching sequence mining be added to the content of this course. This gives the studentsome experience with mining such a complex data
assignment exercise during a relatively busy period of the term.With the planned refinements to the assignment algorithm, the solution promises to become arobust platform for future iterations of the overall project assignment process. Page 26.20.12References1. Kadlowec, J., Bhatia, K., Chandrupatla, T.R., Chen, J.C., Constans, E., Hartman, H., Marchese, A.J., von Lockette, P., Zhang, H., "Design Integrated in the Mechanical Engineering Curriculum: Assessment of the Engineering Clinics" Journal of Mechanical Design 129.7 (2007): 682-691.2. Von Lockette, P., Riddell, W., Dahm, K., Harvey, R., Courtney, J., Pietrucha, B., Diao, C., Accini
,”There’s Plenty of Room at the Bottom”, Engineering and Science, 23(5): 22-36, 1960. 4. Mongillo, John, “Nanotechnology 101”, Greenwood Press, 2007. Page 26.1183.13 5. Roco, Mihail C. , Chad A. Mirkin, and Mark C. Hersam, “Nanotechnology Research Directions for Societal Needs in 2020: Summary of International Study”, Springer, 2011.6. Greenberg, A. “Integrating Nanoscience into the Classroom: Perspectives on Nanoscience Education Projects”, ACS Nano, Vol.3, No. 4, 2009, pp. 762-769.7. The National Nanotechnology Initiative – Strategic Plan, December 2007.8. Veety, E., et al., “Multidisciplinary Undergraduate Minor
and data compiled by special tools built by 6Lab are used to analyze data relatingto IPv6 adoption. The 6Lab program segments world IPv6 adoption into four phases: planning,core network, content, and users. By all four phases, global IPv6 adoption is rapidly increasing.Planning - Measured by looking at the number of IPv6 prefix allocations from the RIRs and howmany of these allocated prefixes show up in Internet routing tables. By measuring the number ofallocated IPv6 prefixes, it is possible to get an indicator of future IPv6 deployments. All threeprefixes (Allocated IPv6 Prefixes – dashed line, Routable IPv6 Prefixes-dotted line, and AliveAllocated IPv6 Prefixes-solid line) exhibit an increasing trend (Figure 1
group of data scientists who hopeto make Utah a leading area of data mining, predictive analytics and machine learning. This area is aprime location for the research proposed in this paper because it hosts many call centers fromcompanies as diverse as Visa, NuSkin, Adobe, EMC, Bluehost, Domo and several contract call centers.Between the University of Utah, Brigham Young University and Utah Valley University, there is acritical mass of all levels of university students studying machine learning and data mining. Not only isthere a data mining focus at Utah Valley University, the University of Utah also has a program andinfrastructure specializing in Data Management.18The plan being proposed here is to approach these companies to determine who is
is advertised for networking across multiple ESXi hosts, it turns out to be anincomplete solution, overkill for meeting our needs and requires license fee beyond the availablefunding to the project.Another major issue that we faced in planning the migration from the VMware Workstation to thevSphere environment was that we were no longer able to take advantage of the physical Ethernetport built into the client machine. Initially, we thought the problem could be resolved through theuse of vSphere Web Client Integration Plug-in. The Web Client Integration Plug-in allows someof the physical devices (such CD/DVD Drive and USDB ports) on the client machine (used toaccess VMs) to be passed through to the user’s VMs. Unfortunately, after consulting
issues?”Based on interview responses, it was apparent that there was student interest to further pursuecybersecurity in various ways (additional courses, performing research, and seeking jobs). Mostof the students we interviewed considered cybersecurity to be a component of their overall Page 26.496.4education and career plans, but not the main focus. By the end of the semester, all students wereglad they had taken the course. While there were a few students who had one or two topics theydid not like, interest rates ranged from somewhat interesting to very exciting. When asked, mostindicated they would be willing to take additional cybersecurity
multidisciplinary projects. Described below are three sampleteams that represent common groupings of disciplines in collaborative projects. A top term isthen chosen from Termediator’s list of potentially dissonant terms across the selected domains.Each discipline’s definition is listed in order to see the discrepancy between each team member’sunderstanding of the term.5.2.1 IT + SSE + IS + SEThe top dissonant term in this team using “cosine complete” similarity-linkage is:“risk” • IT: A condition or action that may adversely affect the outcome of a planned activity19 • SSE: Combination of the probability of an event and its consequence22. • IS: The level of impact on organizational operations (including mission, functions, image, or reputation