Search

The development of student identities--their interests in computer science, perceptions of the discipline, and sense of belonging in the field--is critical for broadening participation of underrepresented groups in computing. This paper reports on the design of portfolios in which two classes of high school students reflected on the process of making electronic textile projects. We examine how students expressed self-authorship in relation to computer science and how the use of reflective portfolios shaped students' perceptions of computer science. In the discussion we consider how reflective portfolios can serve as ideational resources for computer science identity construction.

The Third International Conference on Data Engineering was held in Los Angeles, California on February 2 to 6, 1987. The conference was designed as an international forum for bringing together researchers, developers, managers, strategic planners and other users with an interest in the research, design and development of data engineering methodologies, strategies and systems. Its scope includes computer science, artificial intelligence, electrical engineering, and computer engineering. It featured papers from all major areas of data engineering, including database design and modeling, performance evaluation, algorithms, integrity, security, fault tolerance, query language, artificial intelligence approaches, knowledge bases, database machines, distributed databases and data engineering applications.

The generalization error bounds found by current error models using the number of effective parameters of a classifier and the number of training samples are usually very loose. These bounds are intended for the entire input space. However, support vector machine (SVM), radial basis function neural network (RBFNN), and multilayer perceptron neural network (MLPNN) are local learning machines for solving problems and treat unseen samples near the training samples to be more important. In this paper, we propose a localized generalization error model which bounds from above the generalization error within a neighborhood of the training samples using stochastic sensitivity measure. It is then used to develop an architecture selection technique for a classifier with maximal coverage of unseen samples by specifying a generalization error threshold. Experiments using 17 University of California at Irvine (UCI) data sets show that, in comparison with cross validation (CV), sequential learning, and two other ad hoc methods, our technique consistently yields the best testing classification accuracy with fewer hidden neurons and less training time. [ABSTRACT FROM AUTHOR]

The author expresses his views on the conferences and workshops on information and communications technology for development (ICT4D) that were held during the Harvard Forum at Harvard University in Cambridge, Massachusetts in September 2009. He talks about his experience of attending the Information and Communications Technology for Development 2009 (ICTD2009) Conference that was held in Qatar. He also offers information on a workshop held in Berkeley, California about computer science and global development.

In 1997, the Moores University of California, San Diego (UCSD) Cancer Center and advocacy groups for people who are deaf and hard of hearing launched a highly successful cancer control collaborative. In 2006, faculty from the Computer Science Department at UCSD invited the collaborative to help develop a new track in their doctoral program. This track would train computer scientists to be culturally competent when working with people who have hearing and visual challenges, with the ultimate goal of developing assistive living devices that would be welcomed by, and useful to, the anticipated end users. Faculty and students began developing ideas for technological advances that were anticipated to benefit people who are deaf and hard-of-hearing. Computer science graduate students and faculty worked with the medical school faculty, staff, and undergraduates to design culturally competent focus groups for people who were deaf and hard-of-hearing. The focus groups were designed to gather opinions of these presumed end users about three, very promising ideas for assistive listening devices. The result was a productive interchange between the computer science team and focus group members. The insights garnered have subsequently been used to refine the three devices. This paper provides an overview of how computer science students were trained to present their technological innovations to people who are deaf and hard-of-hearing and to gain feedback on how their devices might best serve them. Campus Community Partnerships with People Who Are Deaf or Hard-of-Hearing. [ABSTRACT FROM AUTHOR]

Objective: To predict the true cost of developing and maintaining an electronic immunization registry, and to set the framework for developing future cost-effective and cost-benefit analysis.Data Sources/study Setting: Primary data collected at three immunization registries located in California, accounting for 90 percent of all immunization records in registries in the state during the study period.Study Design: A parametric cost analysis compared registry development and maintenance expenditures to registry performance requirements.Data Collection/extraction Methods: Data were collected at each registry through interviews, reviews of expenditure records, technical accomplishments development schedules, and immunization coverage rates.Principal Findings: The cost of building immunization registries is predictable and independent of the hardware/software combination employed. The effort requires four man-years of technical effort or approximately $250,000 in 1998 dollars. Costs for maintaining a registry were approximately $5,100 per end user per three-year period.Conclusions: There is a predictable cost structure for both developing and maintaining immunization registries. The cost structure can be used as a framework for examining the cost-effectiveness and cost-benefits of registries. The greatest factor effecting improvement in coverage rates was ongoing, user-based administrative investment. [ABSTRACT FROM AUTHOR]

This article presents several awards that recognize outstanding achievements in computer science and engineering developed by the Institute of Electrical and Electronics Engineers Inc. Computer Society at a gathering in Long Beach, California. Murali Varanasi, a professor at the University of North Texas, is recognized for his contributions to education and to the society. The society also recognizes Krishan Sabnani in his strides in developing communication network protocols. The board of governors chose database pioneer Wesley Chu to receive the Society's 2003 Technical Achievement Award. INSETS: Software Developers Earn Professional Certification.;IEEE Computer Society Announces New Standards Committee.;IEEE Educational Activities Board Honors Computer Society..