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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 course is part of the Scientific Computing series.

Matlab is a software package for numerical computation with high quality graphics facilities. This course examines Matlab's graphical capabilities in more detail than the "Matlab: Basics" course.

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.

When you write for the web you need to think differently. People dedicate very little time to reading a web page and so it is essential they see what they need and understand it with the minimum of difficulty. This short course aims to give you the skills to produce web pages that do just this.

This course is part of the Scientific Computing series.

This course is aimed at those new to programming and provides an introduction to programming using Python, focussing on scientific programming. This course is probably unsuitable for those with significant programming experience. By the end of this course, attendees should be able to write simple Python programs and to understand more complex Python programs written by others.

As this course is part of the Scientific Computing series, the examples chosen are of most relevance to scientific programming.

This is a fast paced and shortened version of the 2-session Access 2007 Introduction course and thus is more suitable for those who are quick learners. This course will be taught using Access 2007 on PCs (Windows XP) - note that this version is quite different from previous version.

This course is intended to build on the introductory EndNote course and give attenders practical experience of editing EndNote output styles.

EndNote output styles control the way EndNote sets out references and their citations in printed documents. By editing these, you can achieve precise control of the way your bibliography is set out.

This is a practical-based course for people new to writing Web pages. Only the basics of HTML (hypertext markup language) will be covered, but there are other courses for those wishing to extend their knowledge. By the end of the course participants will have created three personal linked web pages.

This follows on from the Introduction to HTML and is a practical-based course.

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.

Google is unarguably the world's most used search engine - but how good is it for academic research? This session aims to demonstrate how to make best use of Google and Google scholar for research purposes, whilst outlining some of the pitfalls of over-relying on them!

SPSS is a powerful general purpose statistical package with high quality graphics and tabulation facilities, and a reputation for being relatively user-friendly. This session follows on from Part 1 and covers useful techniques and tricks. It is strongly recommended for anyone likely to use SPSS for any but the very simplest analysis of the very simplest data.

This course examines the differences between Word 2003 and Word 2007 with a view to using the new version as your default word-processor.

This self-paced practical course covers the most commonly used features of Microsoft Word 2007. It is not suitable for experienced users of other versions of Word wanting to find out about the new features in Word 2007. Those needing basic Windows training may also attend this course and do relevant exercises under supervision.

Following on from the "Photoshop: Basic Techniques" course, this course covers some of the more advanced feature of Adobe Photoshop, the popular image manipulation and editing tool for graphics and design professionals. The course will explore some of the more advanced features of Photoshop. Techniques will be explained and demonstrated, and participants will then be given the opportunity to practice these for themselves.

This hands-on course is a follow up from the Excel 2007 Introduction course.

This hands-on course will introduce cascading style sheets (CSS) and tables and show how they can (and should) be used effectively when creating web pages.

This self-paced practical course covers the most commonly used features of Microsoft Word 2007. It is not suitable for experienced users of other versions of Word wanting to find out about the new features in Word 2007. Those needing basic Windows training may also attend this course and do relevant exercises under supervision.

This course is part of the Scientific Computing series.

This course provides an introduction to object oriented programming (OOP), aimed at those who have no prior experience of object oriented programming. The concepts of object oriented programming are demonstrated in Python, and Python's implementation of these concepts is discussed. By the end of the course, attendees should have a basic familiarity with these concepts and be able to assess wether the object-oriented paradigm is appropriate for their programming tasks.

As this course is part of the Scientific Computing series, most of the examples in the presentation are of greatest relevance to scientific programming.

Please note that there are no practical exercises during this course.