All-provider course timetable

Macromedia Dreamweaver is a powerful web creation tool that allows non-technical people to produce professional websites. This course provides a practical introduction for those that wish to use Dreamweaver to create web-pages and manage websites. It focuses on building a small website.

This module is part of the Social Science Research Methods Course programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences.

This foundational course is for eligible graduate students who have no prior training in statistics.

It introduces students to the basic general concepts that underlie descriptive and inferential statistics. It is divided into 4 sessions:

• Session 1: Variables and Measurement
• Session 2: Describing a Variable
• Session 3: Populations and Samples
• Session 4: Statistical Models and Significance Tests

LaTeX is a powerful document description language built on top of TeX. It is available on Unix, Windows and Macintoshes. It can be used for the presentation of plain text (including accented characters and letters outside the English alphabet), the typesetting of mathematics, the generation of tables, and producing simple diagrams. It is particularly suited for the writing of theses, papers and technical documents.

This module is concerned with greater knowledge of regression, through extension of the simple linear model; enabling students to assess the models they use, testing for problems such as collinearity, outliers/leverage, and heteroskdasticity.

Would you like to be in control of your day, enhance your reputation and gain more job satisfaction? Then this is the course for you!

This module is part of the Social Science Research Methods Course programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research

This module is part of the Social Science Research Methods Course programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research

Stata is a powerful general purpose statistical package.

This course is for beginners and fairly new users of the package. Basic concepts and use of Stata will be introduced. The main aim of the course is to give participants a foundation and some background. However statistical techniques are not covered (see note below).

The first session looks at an overview of the Stata system and getting data into Stata format and the second looks at reporting, graphing and analyses. It is strongly recommended for anyone likely to use Stata for any but the very simplest analysis of the very simplest data.

This course is part of the Scientific Computing series.

This full-day course introduces the Python programming language to programmers who are already familiar with another high level programing language such as C/C++, Fortran, Java, Perl or Visual Basic. The aim of this course is to give such programmers sufficient familiarity with Python that they can attend any of the more advanced Python courses organised by the Computing service and easily follow any of the widely available Python tutorials on the more complex aspects of the language.

This course covers all the material contained in the "Programming: Python for Absolute Beginners" course, but in a more abbreviated fashion suitable for those who already have significant programming experience. This course does NOT cover the more complex aspects of the language (for such topics see the other Computing Service Python courses), nor is there much explicit discussion of the object oriented features of Python.

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This follow-up practical gives those who have attended the LaTeX Introduction an opportunity to do exercises under supervision.

Stata is a powerful general purpose statistical package.

This course is for beginners and fairly new users of the package. Basic concepts and use of Stata will be introduced. The main aim of the course is to give participants a foundation and some background. However statistical techniques are not covered (see note below).

The first session looks at an overview of the Stata system and getting data into Stata format and the second looks at reporting, graphing and analyses. It is strongly recommended for anyone likely to use Stata for any but the very simplest analysis of the very simplest data.

This course extends the basic use of Microsoft Word 2007 for Windows, in particular the features which affect the arrangement & look of a printed page.

This course is part of the Scientific Computing series.

This is a basic introduction to modern Fortran. At the end of the course, students should be able to write significant programs in Fortran, and to be able to start working on existing programs written in modern Fortran (i.e. in the Fortran 90/95 style). It will not cover obsolete features of Fortran, some of the more advanced aspects, or most of the extensions introduced by Fortran 2003.

The course has been rewritten in the light of experience from last year, and will include less on the concepts of programming and more on what practical Fortran programmers need to know (such as a session on Fortran I/O).

Introducing students to methods of data analysis that are relevant to spatial data. Discussing nature of Geographic Information Science (GISc), describing how space is conceptualised and represented in a GIS.

This two-part course will build on the simple style sheets produced in the introductory courses. The aim is to give you a full appreciation of how stylesheets work and how to work with them, and using them as an integral part of producing web pages and sites.

This module is part of the Social Science Research Methods Course programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences.

This module is essential for the statistical methods modules, which follow.