from it. There is no doubt that it is a great idea toteach a data mining course in computer science curriculum. As you can tell, students taking adata mining course need to have background in quite a few areas to be successful. Not everystudent taking this course may have the background required in all these areas. The question ishow can an instructor remedy the challenge of teaching a group of students with widely-rangingbackgrounds, and at what level should this course be taught. Furthermore, the issue of groupwork arises, specifically as to whether data mining course projects should be accomplishedindividually or as teams.Studies show that many universities are teaching data mining course(s) within their computersscience curriculum. Each
to deepen and broaden her knowledge of a key application domain for information systems. She has taught both online and hybrid courses and is interested in enhancing the quality of online learning experiences.Cheryl Willis, University of Houston Cheryl Willis is an Associate Professor of Information Systems Technology at the University of Houston. She received her Ph.D. in Curriculum and Instruction from the University of Florida. Her teaching focus is primarily on applications development and database management. Her research interests include curriculum revision processes for career and technology programs; service learning in information technology undergraduate programs and the use of
to respond to the disaster. Most data and information have geographic elements, and many problems facing the world today are geographical in nature. For example, the complexity of climate change can best be understood when viewed from a geographical, multi-scale perspective of interconnected human/environment systems. The inherent geographical nature of various forms of data, information, and structure of problems has lead to numerous applications of GTs in scientific and engineering disciplines. As the barriers to the use and exploitation of GTs have been lowered, the application of GTs in practical problem solving has grown. For example, GTs are now an integral part of society’s approach in solving problems of emergency
curriculum development effortsonto the institutionally recognized reward system – typically published research and grants.The goals of this research project and report are more modest. They are to reliably evaluate some Page 15.1109.2current practices, using recognized educational theoretical bases so that the current situation canbe understood in an instructional design context and key indicators of the design process can beidentified and that methods of improvement can be based on a correct understanding of theinfluences at work in the process. A deeper understanding of what is happening will create afoundation upon which future designs or
Reform – Curriculum development based on Challenge- Based Instruction (CBI) in selected key courses. 3. Faculty Development – Faculty development seminars and workshops on CBI 4. STEM Pathways Growth and Support – Dual enrollment programs at STC.”17Recruitment and Retention Activity at Georgia Institute of TechnologyIn one insightful experiment conducted at Georgia Institute of Technology15, the computerscience department created an introductory course parallel to the traditional CS1 (a standarddesignator for the very first class in computer science) course that had at its core topical materialnaturally of interest to women: introduction to media computation. Coursework involved usingcomputers to manipulate and create media
. Scientific American, 2001. 285(2): p. 62-9.22. Montante, R., Beowulf and Linux: an integrated project course. Journal of Computing Sciences in Colleges, 2002. 17(6): p. 10-18.23. Hacker, T. and K.M. Madhavan. Developing a Research and Education Laboratory for High Performance Computing and Cyberinfrastucture. in Proceedings of the 2009 American Society for Engineering Education Conference. 2009. Austin, TX. .24. Membrey, P., et al., The definitive guide to CentOS, in The expert's voice in open source. 2009, Apress: Berkeley, Calif.25. Team, C., HOWTO: Create an OSCAR package, January 2004.26. Sloan, J., High Performance Linux Clusters with OSCAR, Rocks, OpenMosix, and MPI (Nutshell Handbooks). 2004: O'Reilly
tutorialswere very positive. Finally, although most participants found the system relatively easy to useand consistent to their learning styles, one mentioned that “it’s a great program, but the programdidn’t work for me.” Unfortunately, he neglected to elaborate his response.Unique ContributionsThis module is one part of comprehensive curriculum development in Civil Engineering atMissouri S&T. Instead of developing a separate course on Geographic Information Systems,GIS modules were developed especially to integrate into existing courses. Such an approachhas broad implications for a model in which new technological approaches can be seamlesslyintegrated into existing courses. Second, this research demonstrates how a systematicqualitative approach
suggestedthat educational institutions should place more emphases on the fundamental courses to cultivatestudents with essential skills/knowledge and capabilities to cope independently with highlychangeable business environment.On the other side, some of the interviewed faculty members of the IT department signified thatuniversity-level IT education should emphasize more on an in-depth knowledge of howemerging EC technologies can be applied by business firms as well as an in-depth understandingof databases management systems, systems analysis and design, implementation, integration andmanagement issues. The comparison between the IT curriculum and the survey results showsthat many of the important topics were not extensively taught, for example
Page 15.112.2students actively understand underlying concepts. This paper formulates an alternativepedagogical approach that encompasses the van Hiele model of geometric thought, the cognitivemodel, and Bayesian network to design a web-based intelligent van Hiele ProblemSolver(IVHPS). The system takes full advantage of Bayesian networks (BNs) , which are a formalframework for uncertainty management to provide intelligent navigation support, and to makeindividualized diagnosis of student solutions in learning computer programming. In addition, wedescribe the architecture of the system and the roles of seven modules contained in the system.They are all integrated into the environment to increase student satisfaction and achievement bystimulating
] Rosenberg C., Koo, S. G. M. (2002). Innovative and easy-to-deploy communication networking laboratory experiments for electrical and computer engineering students, Proceedings of 32nd Annual conference on Frontiers in Education, Como, Italy.[20] Yuan, D., Zhong, J., (2009). An Instructional Design of Open Source Networking Lab and Curriculum, Proceedings of the 10th ACM SIGITE conference on Information technology education, pp37-42. Page 15.875.13