All-provider course timetable
Tuesday 19 October 2010
| 09:30 |
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 |
| 10:00 |
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. |
| 10:30 |
Word 2007 for Beginners (self-paced)
Finished
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. |
| 14:00 |
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:
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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:
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| 16:00 |
Module 5: Further Regression Topics
Finished
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. |
Wednesday 20 October 2010
| 09:30 |
Vi Editor: Introduction (Self-paced)
Finished
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. |
| 10:30 |
Word 2007 for Beginners (self-paced)
Finished
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. |
| 14:00 |
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 |
Thursday 21 October 2010
| 09:30 |
Emacs Editor: Introduction
Finished
Emacs is a very powerful plain text editor used across the computer-using community world-wide. This course will introduce its basic use and explain how it can make your life dealing with plain text or program source code much easier. |
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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. |
|
| 10:00 |
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. |
| 14:15 |
Photoshop: Further Techniques
Finished
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. |
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Matlab: Basics
Finished
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. |
Friday 22 October 2010
| 09:30 |
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. |
| 14:00 |
LECTURING AND PERFORMANCE 4
Finished
test course description |
| 14:15 |
Matlab: Basics
Finished
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. |
Sunday 24 October 2010
| 09:00 |
Lecturing
Finished
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Monday 25 October 2010
| 09:00 |
Lecturing
Finished
|
| 09:30 |
Microsoft Excel is the chosen spreadsheet package as it is a popular choice, both on Macintosh and PC. |
| 14:00 |
Module 6: Spatial Data Analysis
Finished
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. |
| 14:15 |
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. |
| 16:00 |
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:
|
Tuesday 26 October 2010
| 09:30 |
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 |
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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. |
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| 10:30 |
This self-paced hands-on course gives a "quick start" introduction to Microsoft PowerPoint 2007 which is widely used software for preparing presentations. Participants work at their own pace using a workbook containing notes and exercises, with a demonstrator on hand to help. |
| 14:00 |
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:
|
|
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:
|
|
| 14:15 |
R: Regression Analysis in R
Finished
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. Half a dozen libraries will be introduced that enables importing of data and running of linear, binary, ordinal and nominal outcome regression models in R. |
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Google is unarguably the world's most used search engine - but how good is it for academic research? This session aims to demonstrate how to make best use of Google and Google scholar for research purposes, whilst outlining some of the pitfalls of over-relying on them! |
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| 16:00 |
Module 5: Further Regression Topics
Finished
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. |