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All-provider course timetable

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Mon 25 Oct 2010 – Thu 28 Oct 2010

Monday 25 October 2010

09:30	Excel 2007 (Spreadsheet Package): Introduction Finished 09:30 - 13:00 Phoenix Teaching Room 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 (3 of 8) Finished 14:00 - 16:00 Geography Dept 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	Python: Introduction for Absolute Beginners (1 of 3) Finished 14:15 - 17:00 Phoenix Teaching Room 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	Module 1: Foundations in Statistics (Series 1) (3 of 4) Finished 16:00 - 18:00 Titan Teaching Room 2 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

Tuesday 26 October 2010

09:30	Cisco CCNA for IT Supporters: Module 2 - LAN Switching and Wireless (4 of 11) Finished 09:30 - 13:00 Balfour Macintosh Room 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
	Stata (Statistical Package): Introduction (1 of 2) Finished 09:30 - 13:00 Phoenix Teaching Room 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.
10:30	PowerPoint 2007 for Beginners: Quick Start (self-paced) Finished 10:30 - 12:30 Titan Teaching Room 2 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	Module 1: Foundations in Statistics (Series 2) (3 of 4) Finished 14:00 - 16:00 Titan Teaching Room 1 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
	Module 1: Foundations in Statistics (Series 3) (3 of 4) Finished 14:00 - 16:00 Titan Teaching Room 2 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
14:15	R: Regression Analysis in R (1 of 2) Finished 14:15 - 17:00 Balfour Macintosh Room 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.
	Web Skills for Researchers: Why Not to Google Finished 14:15 - 15:15 Cockcroft Lecture Theatre 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!
16:00	Module 5: Further Regression Topics (3 of 4) Finished 16:00 - 18:00 Titan Teaching Room 2 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 27 October 2010

09:30	R: Regression Analysis in R (2 of 2) Finished 09:30 - 13:00 Balfour Macintosh Room 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.
	Stata (Statistical Package): Introduction (2 of 2) Finished 09:30 - 13:00 Phoenix Teaching Room 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.
11:30	How To Do A Literature Search Finished 11:30 - 13:00 Cambridge University Library, IT Training Room Are you about to embark on a dissertation, thesis, or piece of extended research? Before you can contribute to the academic dialogue, you need to have a sound grasp of your topic and its context. This session will give you strategies for finding and evaluating published literature so you can get a 'big picture' view of your topic.
14:00	Module 16: Comparative Historical Methods (3 of 4) Finished 14:00 - 15:30 8 Mill Lane, Lecture Room 1 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
14:15	EndNote for Bibliographies: Introduction (self-paced) Finished 14:15 - 16:15 Titan Teaching Room 2 An introduction to the bibliography package EndNote and its interface with Microsoft Word. EndNote is a program that stores bibliographic references, and notes about those references, in an EndNote Library. EndNote then interfaces with MS Word to help you create a bibliography and bibliographic citations while you type a document. The style (contents and layout) of the citations and bibliography can then be formatted in an Output Style of your choice; this can easily be changed without retyping.
	Python: Introduction for Absolute Beginners (2 of 3) Finished 14:15 - 17:00 Phoenix Teaching Room 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.
	Mathematica: Basics (1 of 2) Finished 14:15 - 17:00 Titan Teaching Room 1 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 is for beginners and new users of the package and describes basic concepts and use of Mathematica.
16:00	Orientation tour Finished 16:00 - 16:45 Cambridge University Library The UL is unique: a national, legal deposit library with an amazing collection of around 8 million items - over two million of which you can browse on our open shelves. If that sounds a bit daunting, why not come on a brief orientation tour to help you find your way around? We’ll even tell you what we keep in the famous Library tower ...

Thursday 28 October 2010

09:30	Intro to i-procurement for Buyers (1 of 2) Finished 09:30 - 15:00 Greenwich House: Training Room 1 iProcurement, or iProc for short, is an internet way of ordering goods and services linked to an electronic Marketplace that contains hundreds and thousands of products. iProcurement is a new application accessed via the Cambridge University Finance System (CUFS). This course is also available on-line. During the face to face standard course you will: Set up system defaults Create Requisitions via the Marketplace and Non-Catalogue Approve your own requisitions (if within buying limit) Forward your requisitions for approval (if outside buying limit) Query and extract basic information from the system Make amendments If you are attending the buyers course you will also cover the following: Suppliers Notifications Month End reports Converting requisitions into orders The course typically consists of small segments of trainer input and demonstration followed by exercises for individuals to work through for practice and to consolidate their understanding.
	Web Authoring: Introduction to HTML (Level 1) Finished 09:30 - 13:00 Titan Teaching Room 1 This is a practical-based course for people new to writing Web pages. Only the basics of HTML (hypertext markup language) will be covered, but there are other courses for those wishing to extend their knowledge. By the end of the course participants will have created three personal linked web pages.
	Email: Managing Your Messages and Saving Time Finished 09:30 - 12:30 Phoenix Teaching Room This course is aimed at people who are using Hermes (or other cam.ac.uk mail servers) and who want to manage and take control of their email because it is taking up too much of their time. It will cover valuable tips and techniques for managing email effectively. The practical part will be self-paced: participants can select which exercises to do using either Hermes Webmail and/or Outlook. There will also be ample opportunity to ask questions.
	Unix: Introduction to the Command Line Interface (1 of 2) Finished 09:30 - 13:00 Room GL.04 (CMS, Wilberforce Road) « Description not available »
14:15	Illustrator: The Basics Finished 14:15 - 17:00 Balfour Macintosh Room Illustrator is a professional graphical illustration package available on Mac and PC platform.
	Program Design: How Computers Handle Numbers Finished 14:15 - 17:00 Hopkinson Lecture Theatre 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.