All-provider course timetable
Friday 29 October 2010
| 09:30 |
Intro to i-procurement for Buyers
 
Finished
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. |
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Grooming
Finished
grooming |
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This follows on from the Introduction to HTML and is a practical-based course. |
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« Description not available » |
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Excel 2007: Further Use
Finished
This hands-on course is a follow up from the Excel 2007 Introduction course. |
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| 10:00 |
Skills Analysis Description |
| 10:40 |
Skills Analysis Description |
| 11:20 |
Skills Analysis Description |
| 12:00 |
Skills Analysis Description |
| 13:30 |
Skills Analysis Description |
| 14:10 |
Skills Analysis Description |
| 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. |
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Mathematica: Basics
Finished
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. |
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This course examines the differences between Word 2003 and Word 2007 with a view to using the new version as your default word-processor. |
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| 14:50 |
Skills Analysis Description |
| 15:30 |
Skills Analysis Description |
Monday 1 November 2010
| 09:15 |
SPSS is a powerful general purpose statistical package with high quality graphics and tabulation facilities, and a reputation for being relatively user-friendly. This course is for beginners and fairly new users of the package. Basic concepts and use of SPSS 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). |
| 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 |
LaTeX is a powerful document description language built on top of TeX. It is available on Unix, Windows and Macintoshes. It can be used for the presentation of plain text (including accented characters and letters outside the English alphabet), the typesetting of mathematics, the generation of tables, and producing simple diagrams. It is particularly suited for the writing of theses, papers and technical documents. |
| 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:
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Tuesday 2 November 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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This is a fast paced and shortened version of the 2-session Access 2007 Introduction course and thus is more suitable for those who are quick learners. This course will be taught using Access 2007 on PCs (Windows XP) - note that this version is quite different from previous version. |
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Macromedia Dreamweaver is a powerful web creation tool that allows non-technical people to produce professional websites. This course provides a practical introduction for those that wish to use Dreamweaver to create web-pages and manage websites. It focuses on building a small website. |
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| 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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| 14:15 |
LaTeX is a powerful document description language built on top of TeX. It is available on Unix, Windows and Macintoshes. It can be used for the presentation of plain text (including accented characters and letters outside the English alphabet), the typesetting of mathematics, the generation of tables, and producing simple diagrams. It is particularly suited for the writing of theses, papers and technical documents. |
| 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. |