All-provider course timetable
Tuesday 8 November 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 module is essential for the statistical methods modules, which follow. |
Wednesday 9 November 2011
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 module is essential for the statistical methods modules, which follow. |
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. |
|
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. |
|
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. |
|
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. |
Thursday 10 November 2011
09:00 |
A fools guide to reading instructions for students who struggle with this key skill. |
09:30 |
Advanced Ballroom Dancing
Finished
|
Good stuff by DPJ
|
|
10:00 |
Module 18: Researching Organisations
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 |
13:30 |
Good stuff by DPJ
|
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 11 November 2011
09:00 |
A fools guide to reading instructions for students who struggle with this key skill. |
09:30 |
Good stuff by DPJ
|
13:30 |
Good stuff by DPJ
|
Monday 14 November 2011
10:00 |
Chinese Intermediate
Finished
Chinese Intermediate summer intensive course |
Tuesday 15 November 2011
10:00 |
Chinese Intermediate
Finished
Chinese Intermediate summer intensive course |
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 module is essential for the statistical methods modules, which follow. |
Wednesday 16 November 2011
09:00 |
New User Payables
Finished
During the course you will: Process Suppliers' Invoices on the system Match invoices to Purchase Orders and deal with any discrepancies Process Suppliers' Credit notes on the system Process Invoices received from another department Query and extract basic information from the system Become aware of the month-end reports available to you |
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 module is essential for the statistical methods modules, which follow. |
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. |
|
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. |
|
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. |
|
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. |