All-provider course timetable

Beginners Gardening - how to garden

This module is part of the Social Science Research Methods Course programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research

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 module is part of the Social Science Research Methods Course programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences.

This foundational course is for eligible graduate students who have no prior training in statistics.

It introduces students to the basic general concepts that underlie descriptive and inferential statistics. It is divided into 4 sessions:

• Session 1: Variables and Measurement
• Session 2: Describing a Variable
• Session 3: Populations and Samples
• Session 4: Statistical Models and Significance Tests

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's 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 second module of four modules in the CCNA programme.

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

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 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 module is part of the Social Science Research Methods Course programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences.

This foundational course is for eligible graduate students who have no prior training in statistics.

It introduces students to the basic general concepts that underlie descriptive and inferential statistics. It is divided into 4 sessions:

• Session 1: Variables and Measurement
• Session 2: Describing a Variable
• Session 3: Populations and Samples
• Session 4: Statistical Models and Significance Tests

This module is concerned with greater knowledge of regression, through extension of the simple linear model; enabling students to assess the models they use, testing for problems such as collinearity, outliers/leverage, and heteroskdasticity.

This self-paced hands-on course gives a quick introduction to the Vi text editor, a widely available text editor for Unix (and other) systems. Participants work at their own pace using provided notes and exercises, with a demonstrator on hand to help.

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 module is part of the Social Science Research Methods Course programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research

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.

ISI Web of Knowledge contains over 13,000 journals with over 40 million cited references added annually. It enables the researcher to identify the prolific authors for a topic, identify the institutions that have published most in a specific field and gain insight into key publication trends.

Matlab is a software package for numerical computation with high quality graphics facilities. This course is for beginners and new users of the package and describes basic concepts and use of Matlab, but not any other optional 'Toolboxes' available from the developers of MATLAB.

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.

Matlab is a software package for numerical computation with high quality graphics facilities. This course is for beginners and new users of the package and describes basic concepts and use of Matlab, but not any other optional 'Toolboxes' available from the developers of MATLAB.

Microsoft Excel is the chosen spreadsheet package as it is a popular choice, both on Macintosh and PC.

Introducing students to methods of data analysis that are relevant to spatial data. Discussing nature of Geographic Information Science (GISc), describing how space is conceptualised and represented in a GIS.

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 module is part of the Social Science Research Methods Course programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences.

This foundational course is for eligible graduate students who have no prior training in statistics.

It introduces students to the basic general concepts that underlie descriptive and inferential statistics. It is divided into 4 sessions:

• Session 1: Variables and Measurement
• Session 2: Describing a Variable
• Session 3: Populations and Samples
• Session 4: Statistical Models and Significance Tests