A below average throughput of Information Technology students specializing in software development is a challenge that many Universities and Universities of Technology in South Africa face. Contributing factors to thi...
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(纸本)9781538664773
A below average throughput of Information Technology students specializing in software development is a challenge that many Universities and Universities of Technology in South Africa face. Contributing factors to this phenomenon are varied at best, but one of the identified factors are that students in this field, especially first year students, find it difficult to conceptualize the associated information and manner of thinking required to become successful in their studies. This is especially true when considering object orientated programming concepts and paradigms that students are required to master as part of their studies. Literary evidence suggests that a high level of working memory, which is associated with abstract thinking ability, is required when learning and applying object orientated programming concepts. The problem becomes more evident and serious if we consider that the Information and Communication Technology sector of a country is largely dependent on the graduating student populous in terms of growing the sector sustainably. A specialized software instrument was developed and tested in an attempt to affect a change in the abstract thinking ability of students from a student sample at a University of Technology. The results of this study focusses on the effect that the instrument realized on the academic performance of first year students related to particularly to object orientated programming and their abstract thinking ability in general as gauged by, amongst other instruments, the General Scholastic Ability Test, or GSAT, rather than focusing on the instrument itself.
Hydrological models are created for a wide range of scales and intents. The Catchment Modelling Framework (CMF) extends the Python programming language with hydrology specific language elements, to setup specific hydr...
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Hydrological models are created for a wide range of scales and intents. The Catchment Modelling Framework (CMF) extends the Python programming language with hydrology specific language elements, to setup specific hydrological models adapted to the scientific problems and the dominant flow processes of a particular study area. CMF provides a straightforward method to test hydrological theories and serve as a transport module in integrated, interdisciplinary catchment model approaches. (C) 2011 Elsevier Ltd. All rights reserved.
The graphical front-ends of large scale operator training simulators traditionally consist of hundreds of thousands of lines of code. Given the undiminished and expanding demand for increased graphical complexity, thi...
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The graphical front-ends of large scale operator training simulators traditionally consist of hundreds of thousands of lines of code. Given the undiminished and expanding demand for increased graphical complexity, this figure is set to approach or exceed tens of millions of lines of code by the end of this decade,The scale of this trend is such that the conventional development of training simulators using procedural code will become disproportionately costly, difficult to update and ultimately unmanageable. To counteract the implications of increasing code length and program complexity, graphical interfaces can now be developed using object-oriented programming methods. To produce cost effective operator training, advantage may also be taken from other recent developments in computing technology, notably the rise in power of the personal computer (PC) combined with a decrease in its cost. This paper explores currently available simulation based operator training platforms and the extent to which PCs can be used for the provision of low cost dynamic operator training. The example involves the use of a novel object-orientatedprogramming method for the front-end which has then been linked to a dynamic simulation package executing either on a networked workstation or on a PC.
This paper presents Visual Heuristics, a consultation system for diagnosis based on thorax radiograph recording. Visual Heuristics uses both prototypical representations of physiological and pathological states and re...
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This paper presents Visual Heuristics, a consultation system for diagnosis based on thorax radiograph recording. Visual Heuristics uses both prototypical representations of physiological and pathological states and reasoning aimed to infer conclusions from pathological or physiological conditions, establishing correspondences between pathological or physiological states and semantic descriptions of images. Images are assembled with groups of descriptors that guide the recognition process, achieving the possibility of comparisons with real images on the basis of 'expected' images. The system may be employed to generate a dynamic atlas that does not contain proper images, but generates them.
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