All-provider course timetable
Tuesday 23 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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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. |
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| 10:30 |
This self-paced hands-on course gives an introduction to spreadsheets, databases and charting using Excel 2007. There is emphasis on short cuts and other efficient ways of working. |
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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. |
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| 14:00 |
Module 12: Designing Surveys
Finished
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 module aims to provide students with an overview of survey methods, uses and limitations; to introduce students to the practicalities of design and use of surveys; to examine complexities of question and answer process; to examine practicalities of survey sampling and response. |
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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 module is essential for the statistical methods modules, which follow. |
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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 module is essential for the statistical methods modules, which follow. |
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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 module is essential for the statistical methods modules. |
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| 16:00 |
Module is designed to teach students how to analyse different types of data using SPSS; including outputs, conducting diagnostic tests, calculating effect sizes and make predictions. |
Wednesday 24 November 2010
| 09:30 |
Excel 2007: Advanced Part 1
Finished
This course which is a follow up from the Excel Further Use course, covers some more advanced features of Excel 2007. The course will be taught using Excel 2007 on PCs (Windows XP) but Macintosh users of Excel 2008 should also find it useful. |
| 10:30 |
This self-paced hands-on course gives an introduction to spreadsheets, databases and charting using Excel 2007. There is emphasis on short cuts and other efficient ways of working. |
|
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. |
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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 |
| 14:15 |
Python: Regular Expressions
Finished
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. |
Thursday 25 November 2010
| 09:30 |
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. |
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Excel 2007: Advanced Part 2
Finished
This course which is a follow up from the Excel Further Use course, covers some more advanced features of Excel 2007. The course will be taught using Excel 2007 on PCs (Windows XP) but Macintosh users of Excel 2008 should also find it useful. |
|
| 10:30 |
This self-paced hands-on course gives an introduction to spreadsheets, databases and charting using Excel 2007. There is emphasis on short cuts and other efficient ways of working. |
|
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. |
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| 14:15 |
Relational Database Design
Finished
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. |
Friday 26 November 2010
| 14:15 |
Matlab: Graphics
Finished
Matlab is a software package for numerical computation with high quality graphics facilities. This course follows on from an earlier course entitled "Matlab: Basics". |
Monday 29 November 2010
| 09:30 |
Access 2007: Further Use
Finished
This course is intended for those already using Microsoft Access 2007 to store and retrieve data who wish to explore queries, forms and reporting. Those who have attended the Access Intro course will find this follows on seamlessly from where that course ended. |
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This course will introduce the use of PowerPoint in the production of presentation for use with slides, foils and direct projection. |
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| 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 |
Mathematica: Graphics
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 examines Mathematica's graphical capabilities in more detail than the "Mathematica: Basics" course. |
| 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 module is essential for the statistical methods modules, which follow. |