All-provider course timetable
Wednesday 19 October 2011
| 09:00 |
Soccer Skills
Finished
|
| 09:15 |
Soccer Skills 3
Finished
|
|
Soccer Skills 4
Finished
|
|
| 09:30 |
Time Management
Finished
|
|
Advanced Ballroom Dancing 2
Finished
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|
|
Advanced Ballroom Dancing 3
Finished
|
|
| 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:
|
|
| 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. |
Thursday 20 October 2011
| 09:00 |
Soccer Skills 3
Finished
|
|
Soccer Skills 4
Finished
|
|
| 09:30 |
Advanced Ballroom Dancing 4
Finished
|
| 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 |
Friday 21 October 2011
| 09:15 |
Soccer Skills 2
Finished
|
Saturday 22 October 2011
| 09:00 |
Soccer Skills 2
Finished
|
Monday 24 October 2011
| 09:30 |
Advanced Ballroom Dancing
Finished
|
Tuesday 25 October 2011
| 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. |
| 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:
|
Wednesday 26 October 2011
| 09:30 |
How to Have an Influence
Finished
|
| 11:30 |
How To Do A Literature Search
Finished
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 |
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:
|
|
| 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. |
|
Orientation tour
Finished
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 27 October 2011
| 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. |
| 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 |