All-provider course timetable
Wednesday 12 October 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 |
11:00 |
Modern and Medieval Languages
Finished
An introduction to the wide range of resources available at the MML Library and the UL, both in print and online. |
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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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 13 October 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 |
Tuesday 18 October 2011
09:15 |
Soccer Skills
Finished
|
09:30 |
Advanced Ballroom Dancing 1
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 |
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:
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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
|
|
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
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