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This course is not about Project Management, it is learning how to use Microsoft Project 2007 software. A case study is used to introduce many of the more intricate and important aspects associated with using Project 2007, such as task management, resource management, costing, deadlines and milestones. The skills and knowledge that you gain while working through this course will be applicable to virtually any type of project you wish to undertake.
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Do you want to create more professional publications by having a deeper appreciation of what Publisher 2007 can do for you? Through a series of graded exercises this course focuses on practical work giving you ample opportunity to use your PC skills to produce various publications.
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 introduces the concept of checkpointing - the saving of a program's state while the program is running, such that the program can be restarted from that saved state - and describes how to implement application-level checkpointing for certain types of scientific programming tasks in Python. Attendees will benefit most from this course if they have a clear idea of the types of task which they wish to checkpoint prior to attending.
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.
A fools guide to reading instructions for students who struggle with this key skill.
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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.
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An overview of the Risk Assessment process
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.
How to succeed in your PhD! A one day course which prepares final year PhD students for finishing the writing up, surviving the viva and moving on into postdoc or other employment. All research students in the Graduate School of Life Sciences are expected to attend this highly-recommended course at some point in their final year. The Michaelmas and Easter Term instances are in town and have a bias towards those studying in Biological Sciences; the Lent Term instance is on the Addenbrooke's site and has a bias towards those studying in Clinical Medicine.NB this course replaces both the 'Completing your PhD' and 'FUMO' courses.
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Would you like to be able to dance like they do on 'Strictly'? If so then this is the course for you!
Would you like to be able to dance like they do on 'Strictly'? If so then this is the course for you!
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.