All-provider course timetable

A course in basic C programming intended for beginners to programming only. The aim of the course is to get everyone to the stage of being able to write small utility programs in C for carrying out simple calculations and data manipulation.

A course in basic C programming intended for beginners to programming only. The aim of the course is to get everyone to the stage of being able to write small utility programs in C for carrying out simple calculations and data manipulation.

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 course is part of the Scientific Computing series.

This is a simple introduction to using MPI for writing parallel programs to run on clusters and multi-CPU systems, for the purposes of "high-performance computing". It will cover the principles of MPI, and teach the use of the basic facilities of MPI (i.e. the ones that are used in most HPC applications), so that attendees will be able to write serious programs using it. It will describe other features that may be useful, but not teach their use. Any requests for particular coverage will be welcomed, but cannot be promised.

This course is part of the Scientific Computing series.

This is a simple introduction to using MPI for writing parallel programs to run on clusters and multi-CPU systems, for the purposes of "high-performance computing". It will cover the principles of MPI, and teach the use of the basic facilities of MPI (i.e. the ones that are used in most HPC applications), so that attendees will be able to write serious programs using it. It will describe other features that may be useful, but not teach their use. Any requests for particular coverage will be welcomed, but cannot be promised.

This course is part of the Scientific Computing series.

This is a simple introduction to using MPI for writing parallel programs to run on clusters and multi-CPU systems, for the purposes of "high-performance computing". It will cover the principles of MPI, and teach the use of the basic facilities of MPI (i.e. the ones that are used in most HPC applications), so that attendees will be able to write serious programs using it. It will describe other features that may be useful, but not teach their use. Any requests for particular coverage will be welcomed, but cannot be promised.

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 course is aimed at those new to programming, or who have never been formally taught the principles and basic concepts of programming. It provides an introduction to the basic concepts common to most high level languages (including Python, Java, Fortran, C, C++, Visual Basic). The aim of the course is to equip attendees with the background knowledge and confidence necessary to tackle many on-line and printed programming tutorials. It may also help attendees in deciding which programming language is suitable for their programming task.

Knowledge of the concepts presented in this course is a pre-requisite for many of the other courses in the Scientific Computing series of courses (although not for the "Python for Absolute Beginners" course).

This course is part of the Scientific Computing series.

This course is aimed at those new to programming, or who have never been formally taught the principles and basic concepts of programming. It provides an introduction to the basic concepts common to most high level languages (including Python, Java, Fortran, C, C++, Visual Basic). The aim of the course is to equip attendees with the background knowledge and confidence necessary to tackle many on-line and printed programming tutorials. It may also help attendees in deciding which programming language is suitable for their programming task.

Knowledge of the concepts presented in this course is a pre-requisite for many of the other courses in the Scientific Computing series of courses (although not for the "Python for Absolute Beginners" course).

This course offers a basic introduction to Mac OS X, the latest version of the Mac operating system. It also gives an overview of some of the more advanced functions offered by the operating system, and the core applications, which both an office or PWF user would find useful to use e.g. Microsoft Word.

This is a fast paced and shortened version of the 2-session Access 2007: Creating a Simple Database 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 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 for new users who have learnt how to get data into R already, and know how to operate basic syntax. Emphasis will be on examples of running applied analyses of regression models for continuous, binary and ordinal outcomes using standard R procedures. Guidance will also be provided on further addons that may be of interest.

This course is for new users who have learnt how to get data into R already, and know how to operate basic syntax. Emphasis will be on examples of running applied analyses of regression models for continuous, binary and ordinal outcomes using standard R procedures. Guidance will also be provided on further addons that may be of interest.

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.

The course is designed to take someone from having no knowledge of the Unix command line to being able to navigate around directories, and doing simple file manipulation. Then some of the more basic commands, will be introduced, including information on how to get more help from the system itself. Finally accessing remote computers by ssh and the most basic of shell scripts will be introduced.