All-provider course timetable

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.

« Description not available »

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.

Being able to negotiate well is essential for many staff at all levels within the University. Recognise your strengths and weaknesses as a negotiator and learn how to identify and examine different negotiation techniques. Start to identify and practice those principled approaches that are most likely to prove successful when negotiating an important agreement or settlement.

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! You will learn many practical time management tips to help you work smarter, not harder. This course will cover setting priorities, dealing with interruptions, managing the paper mountain and email avalanche, guidelines for saying ‘no’ and it will show you how to change your use of time.

Being able to negotiate well is essential for many staff at all levels within the University. Recognise your strengths and weaknesses as a negotiator and learn how to identify and examine different negotiation techniques. Start to identify and practice those principled approaches that are most likely to prove successful when negotiating an important agreement or settlement.

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.

This course is part of the Scientific Computing series.

It is common for a student or researcher to find a piece of software or to have one thrust upon them by a supervisor which they must then build, install and use. It is a myth that any of this requires system privilege. This course demonstrates the building, installation and use of typical software ranging from trivially easy examples (the "configure, make, install" scheme) through to the evils of badly written Makefiles. Common errors and what they mean will be covered and by the end of the course the student should be able to manage their own software without needing to pester their system administrator.

Adobe Photoshop is the favourite image manipulation and editing tool of the professional graphics industry. It enables scanned-in photographs, pictures and graphics files to be edited and offers a dazzling array of drawing, special effects and filtering tools. Knowing where to start with such a comprehensive and feature-filled package can be daunting. This presentation aims to equip new users with the basics, using live demonstrations throughout.

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.

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.

Module is designed to teach students how to analyse different types of data using SPSS; including outputs, conducting diagnostic tests, calculating effect sizes and make predictions.