All-provider course timetable

This is an introduction to the popular database package Microsoft Access 2007. The course is aimed at those who have never used the package before or have just started using it. There is an Access Fast Track course that is a shortened version of this course for those who learn at a faster pace.

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 part of the Scientific Computing series.

This could be called "Computer Arithmetic Uncovered". It will describe how computers store and process integers and floating point numbers, and also the exceptions that might arise and what they mean. The intent is to explain how modern computers handle numbers, and how to get reliable answers for a reasonable amount of effort.

This course is part of the Scientific Computing series.

This could be called "Computer Arithmetic Uncovered". It will describe how computers store and process integers and floating point numbers, and also the exceptions that might arise and what they mean. The intent is to explain how modern computers handle numbers, and how to get reliable answers for a reasonable amount of effort.

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

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.

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The rendering time for web pages is dominated by the graphics on the page. This course teaches methods of preparing graphics so minimise information loss and maximise transfer and rendering efficiency. There is an opportuinity to try the methods using PhotoShop.

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

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 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.

Personal development is unique to each individual. It is about having time for yourself to take stock and consider your next moves. During this programme you will explore your future in a practical way and learn how to develop your potential. You will undertake realistic self-assessment and set challenging goals. Key areas covered include communication skills, assertiveness, improving your work/life balance and developing positive skills and attitude. If you want to progress and develop, then this programme is for you.

You should plan to attend all four sessions.

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

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 Cisco Certified Network Associate (CCNA) programme is open to University IT Supporters. It covers network technology, protocols and theory at deeper levels reflective of university practices. There is a fee to attend this course.

You will learn the basics of routing, switching, and advanced technologies to acquire the skills required to provide a robust and secure network in your institution and it prepares you for CCNA certification.

We offer this program as instructor led with remote access to the curriculum and an online networks laboratory called NETLAB. There is a mix of lecture, demonstrations and a heavy emphasis on practical activities using live lab equipment and a simulation package. Further details and pricing information are available.

This is the first module of four modules in CCNA.

1. Networking Fundamentals 2. LAN Switching and Wireless 3. Routing Protocols and Concepts 4. Accessing the WAN

This course is part of the Scientific Computing series.

Mathematica is a software package for numerical computation, symbolic manipulation and the production of graphics from mathematical functions and data. This course examines Mathematica's graphical capabilities in more detail than the "Mathematica: Basics" course.