All-provider course timetable

Would you like to be in control of your day, enhance your reputation and gain more job satisfaction? Then this is the course for you.

Would you like to be in control of your day, enhance your reputation and gain more job satisfaction? Then this is the course for you.

Would you like to be in control of your day, enhance your reputation and gain more job satisfaction? Then this is the course for you.

« Description not available »

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 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 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.

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.

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 be in control of your day, enhance your reputation and gain more job satisfaction? Then this is the course for you.

Would you like to be in control of your day, enhance your reputation and gain more job satisfaction? Then this is the course for you.

Would you like to be in control of your day, enhance your reputation and gain more job satisfaction? 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 module is essential for the statistical methods modules, which follow.

Would you like to be in control of your day, enhance your reputation and gain more job satisfaction? 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 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.

This course will give you the opportunity to give a 20 minute presentation whilst being filmed and observed by your peers. Constructive feedback from the whole group will be given and you will have the recorded video sent to you after the session. Come with your presentation already prepared and bring your props and handouts. A laptop, projector, flip chart, white board and pens will be available. (Note: No OHT unless requested in advance).

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.