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The skills and knowledge covered in this publication are sufficient to confidence in create real-world documents, including letters, memos, faxes, basic flyers, basic newsletters, calendars, envelopes and labels.

This course is part of the Scientific Computing series.

This course will introduce more advanced aspects of the Python language than the "Python for Absolute Beginners" course or "Python for Programmers" courses. The course will cover topics such as file I/O in more detail than either of those two courses. Whilst the course will not cover the use of Python to produce graphical output, some mention will be made of how Python can be used to interface with tools such as gnuplot to produce graphical output of scientific data.

This course does not explicitly cover the object oriented aspects of the Python language.

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 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.

This course is part of the Scientific Computing series.

This course will introduce methods in Python for accessing the operating system environment (e.g. standard input, standard output, environment variables, etc). The course will cover topics such as command-line parsing in more detail than the "Python Introduction for Absolute Beginners" or "Python Introduction for Programmers".

This course is part of the Scientific Computing series.

This course explains how to construct and use regular expressions in Python (using the re module). It does not discuss how to construct complex regular expressions, nor does it cover regular expressions themselves in much detail, rather it focuses on how to use regular expressions in Python.

For a detailed discussion of regular expressions see the "Pattern Matching Using Regular Expressions" course.

The RDN (Resource Discovery Network) Virtual Training Suite is a JISC national initiative designed to offer free online training in Internet information skills to the higher and further education communities in the UK. It comprises a set of 1-hour tutorials delivered over the Web, each of which offers Internet skills training in a particular academic subject.

The tutorials, which include quizzes and interactive exercises, can be used by individuals as a "teach yourself" tool, or by lecturers, librarians or IT trainers wanting to teach Internet information skills to their students. The tutorials offer a subject-based approach to Internet skills training, enabling the user to tour key Internet resources and improve search skills, as well as need for critical evaluation of information on the Internet, and reflect on practical ways to use the Internet to support learning, teaching and research.

The Computing Service only runs courses on EndNote, not Reference Manager. However for people wishing to use the latter there are some online resources available.

This course gives a simple introduction to organizing your data in a relational database. It aims to explain the arranging of your data. It does not deal with specific relational databases systems such as Access, Oracle or SQL Server, or the technical tools that you would or could use to set up your database. The course aims to provide you with enough information to sit down and design your database, regardless of the database product that you intend to use. Exercises will be done on paper, without using computers.

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.

The rise of Work Related Upper Limb Disorders (WRULD - formerly known as RSI) results in varying degrees of pain and discomfort in the upper limbs, back and neck. Ergonomic workstation setup is often overlooked but is a critical part of healthy computing and is often one of the root causes of a WRULD. This course will introduce the user to the common workstation problems and show some basic alterations that can be made to create an ergonomic environment that is less stressful to the body.

This course is part of the Scientific Computing series.

There is a very wide variety of tools available for scientists using computers. This variety can be daunting at first glance. This talk will unpick the maze of programming languages and other tools to provide some guidance on what might be appropriate to use for various purposes.

Want to know how to create online dynamic tutorials, how-tos, faqs and many more? This course is for you. Using Camtasia Studio v 7 you will record your onscreen activities or presentation, edit into a polished video, and be shown how to publish it to the web.

You will learn how to capture audio while you are recording - or add narration and music later. Learn how to cut out the sections of your video that you don’t want and rearrange the sections that you do. Add, cut, splice, join and move sections of video or audio until you have a finished screencast.

Although this course will be run on Windows, the skills learnt can be appled to the Mac version of Camtasia.

This session follows on from SPSS: Basic Parts 1 and 2 and continues to introduce useful techniques for data analysis with SPSS. Working with sensitive data types will be covered and a basic introduction to SPSS command language.

The SPSS for Windows statistical package includes a built-in Tutorial and a set of Case Studies. When SPSS is launched, the Tutorial is one of the options offered. Alternatively, it may be found under the Help menu where the Case Studies are also located.

SPSS is a powerful general purpose statistical package with high quality graphics and tabulation facilities, and a reputation for being relatively user-friendly. This course is for beginners and fairly new users of the package. Basic concepts and use of SPSS 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).

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 is for new users who have learnt how to get data into Stata, and know how to operate basic syntax having completed the Basics course or through self-study with the student version or manuals. Emphasis will be on examples of running applied analyses of regression models for continuous, binary and ordinal outcomes using standard Stata procedures. Guidance will also be provided on further addons that may be of interest.

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.

Statistics for the Terrified is a tutorial available on the PWF PCs aimed at people who want a very basic introduction to statistical concepts and techniques. It does not cover the use of any particular software, nor any advanced or specialist topics.

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Managing Safely is ideally suited to managers, research supervisors, administrators with safety responsibilities and Departmental Safety Officers across all sectors of the University. It leads to a nationally recognised and accredited training certificate. Please contact the course organiser, Will Hudson (wjh29@admin.cam.ac.uk) for further details before booking on the course.

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.

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.

This course is part of the Scientific Computing series.

No previous experience of shell scripting is required for this course; however some knowledge of the interactive use of the bash shell is a prerequisite (see Simple Shell Scripting for Scientists: Prerequisites for details).

This course introduces shell scripting in bash for scientific computing tasks. Day one introduces very basic shell scripts in bash which process the command line in a simple fashion. Day two covers how to write more advanced shell scripts in bash. Day three covers how to make one's shell scripts more robust.

At the end of each day one or more exercises are set. It is VERY IMPORTANT that attendees attempt these exercises before the next day of the course. Attendees should make sure that they have allowed themselves sufficient study time for these exercises between each day of the course.