11 resultados para Machine-tools

em University of Southampton, United Kingdom


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This step-by-step guide introduces the PowerPoint 2010 features that can be used to create attractive posters. For example, guidelines to help elements align neatly and text boxes with margins.

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Introduction as part of UG TEL course

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This collection of videos shows you how to use a range of time-saving tools when writing a thesis in MS Word 2010/2013. See the full SupportGuide at http://www.go.soton.ac.uk/thesispc. There are videos on using styles; creating tables of contents and tables of figures; using the Navigation Pane; using the Browse Object tool and many more. There is an equivelent collection for use with Word 2011 which is for use with Apple computers.

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A collection of videos on time saving features when using MS Word 2011 to write a thesis. Learn how to use styles, make table of contents, make table of figures, use the document map, use the browse object tool and keep a count of the words in your file and many more useful features of Word 2011. Word 2011 is for Apple computers, there is a collection of similar video for use with the PC version Word 2010.

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This manual shows you how to use a range of useful smaller features Word 2010 - cross referencing, track changes, word count, endnotes and footnotes, spell checker, autocorrect, screen split, comments and find and replace.

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This manual shows you how to use a range of useful smaller features Word 2011 - cross-referencing, track changes, word count, endnotes and footnotes, spell checker, autocorrect, screen split, comments and find and replace.

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This manual shows you how to use a range of useful smaller features Word 2013 - cross referencing, track changes, word count, endnotes and footnotes, spell checker, autocorrect, screen split, comments and find and replace.

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This lecture covers the use of Agile design tools: Storyboards and Scenarios, used in conjunction with Personas. These are also used in participatory design.

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Community capacity is used to monitor socio-economic development. It is composed of a number of dimensions, which can be measured to understand the possible issues in the implementation of a policy or the outcome of a project targeting a community. Measuring community capacity dimensions is usually expensive and time consuming, requiring locally organised surveys. Therefore, we investigate a technique to estimate them by applying the Random Forests algorithm on secondary open government data. This research focuses on the prediction of measures for two dimensions: sense of community and participation. The most important variables for this prediction were determined. The variables included in the datasets used to train the predictive models complied with two criteria: nationwide availability; sufficiently fine-grained geographic breakdown, i.e. neighbourhood level. The models explained 77% of the sense of community measures and 63% of participation. Due to the low geographic detail of the outcome measures available, further research is required to apply the predictive models to a neighbourhood level. The variables that were found to be more determinant for prediction were only partially in agreement with the factors that, according to the social science literature consulted, are the most influential for sense of community and participation. This finding should be further investigated from a social science perspective, in order to be understood in depth.

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