All-provider course timetable

Would you like to play like Beckham, then this is the course for you!

Would you like to be able to dance like they do on 'Strictly'? If so then this is the course for you!

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.

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:

• Session 1: Variables and Measurement
• Session 2: Describing a Variable
• Session 3: Populations and Samples
• Session 4: Statistical Models and Significance Tests

Would you like to play like Beckham, then this is the course for you!

Would you like to play like Beckham, then this is the course for you!

Would you like to be able to dance like they do on 'Strictly'? If so then this is the course for you!

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:

• Session 1: Variables and Measurement
• Session 2: Describing a Variable
• Session 3: Populations and Samples
• Session 4: Statistical Models and Significance Tests

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.

Would you like to play like Beckham, then this is the course for you!

Would you like to be able to dance like they do on 'Strictly'? If so then this is the course for you!

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

Would you like to play like Beckham, then this is the course for you!

Would you like to play like Beckham, then this is the course for you!

Would you like to be able to dance like they do on 'Strictly'? If so then this is the course for you!

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.

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:

• Session 1: Variables and Measurement
• Session 2: Describing a Variable
• Session 3: Populations and Samples
• Session 4: Statistical Models and Significance Tests

Would you like to have more influence? Then this course is for you.

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.

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:

• Session 1: Variables and Measurement
• Session 2: Describing a Variable
• Session 3: Populations and Samples
• Session 4: Statistical Models and Significance Tests

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 ...