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Joint School's Social Sciences

Joint Schools' Social Sciences course timetable

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Sun 21 Nov 2010 – Tue 25 Jan 2011

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[ No events on Sun 21 Nov 2010 ]

Monday 22 November 2010

14:00
Module 6: Spatial Data Analysis (7 of 8) Finished 14:00 - 16:00 Geography Dept

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
Module 2: SPSS and Descriptive Statistics (Series 1) (3 of 4) Finished 16:00 - 18:00 Titan Teaching Room 2

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.

Tuesday 23 November 2010

14:00
Module 12: Designing Surveys (3 of 4) Finished 14:00 - 15:30 8 Mill Lane, Lecture Room 1

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 2: SPSS and Descriptive Statistics (Series 3) (3 of 4) Finished 14:00 - 16:00 Titan Teaching Room 2

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 2: SPSS and Descriptive Statistics (Series 2) (3 of 4) Finished 14:00 - 16:00 Titan Teaching Room 1, New Museums Site

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 2: SPSS and Descriptive Statistics for Judge Students (3 of 4) Finished 14:00 - 17:00 Judge Business School, Computer Room

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.

16:00
Module 7: Regression and binary and categorical outcomes (3 of 4) Finished 16:00 - 18:00 Titan Teaching Room 2

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.

Wednesday 24 November 2010

14:00
Module 17 Conversation and Discourse Analaysis (3 of 4) Finished 14:00 - 15:30 8 Mill Lane, Lecture Room 1

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

Monday 29 November 2010

14:00
Module 6: Spatial Data Analysis (8 of 8) Finished 14:00 - 16:00 Geography Dept

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
Module 2: SPSS and Descriptive Statistics (Series 1) (4 of 4) Finished 16:00 - 18:00 Titan Teaching Room 2

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.

Tuesday 30 November 2010

14:00
Module 12: Designing Surveys (4 of 4) Finished 14:00 - 15:30 8 Mill Lane, Lecture Room 1

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 2: SPSS and Descriptive Statistics (Series 3) (4 of 4) Finished 14:00 - 16:00 Titan Teaching Room 2

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 2: SPSS and Descriptive Statistics (Series 2) (4 of 4) Finished 14:00 - 16:00 Titan Teaching Room 1, New Museums Site

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 2: SPSS and Descriptive Statistics for Judge Students (4 of 4) Finished 14:00 - 17:00 Judge Business School, Computer Room

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.

16:00
Module 7: Regression and binary and categorical outcomes (4 of 4) Finished 16:00 - 18:00 Titan Teaching Room 2

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.

Wednesday 1 December 2010

14:00
Module 17 Conversation and Discourse Analaysis (4 of 4) Finished 14:00 - 15:30 8 Mill Lane, Lecture Room 1

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

Monday 17 January 2011

14:00
Module 13: Introduction to database design and use (1 of 3) Finished 14:00 - 17:00 Titan Teaching Room 2

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 January 2011

14:00
Module 13: Introduction to database design and use (2 of 3) Finished 14:00 - 17:00 Titan Teaching Room 2

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

Wednesday 19 January 2011

14:00
Module 13: Introduction to database design and use (3 of 3) Finished 14:00 - 17:00 Titan Teaching Room 2

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 19: Selected Anthropological Methods (1 of 4) Finished 14:00 - 15:30 8 Mill Lane, Lecture Room 1

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

Monday 24 January 2011

14:00
Module 3: Bivariate Association (Series 1) (1 of 4) Finished 14:00 - 16:00 Phoenix Teaching Room

This module introduces students to four of the most commonly used statistical tests in the social scinces: Correlations, Chi-square tests, T-tests, and one-way ANOVAs.

Module 3: Bivariate Association (Series 2) (1 of 4) Finished 14:00 - 16:00 Titan Teaching Room 1, New Museums Site

This module introduces students to four of the most commonly used statistical tests in the social scinces: Correlations, Chi-square tests, T-tests, and one-way ANOVAs.

16:00
Module 3: Bivariate Association (Series 3) (1 of 4) Finished 16:00 - 18:00 Titan Teaching Room 1, New Museums Site

This module introduces students to four of the most commonly used statistical tests in the social scinces: Correlations, Chi-square tests, T-tests, and one-way ANOVAs.

Tuesday 25 January 2011

14:00
Module 3: Bivariate Association for Judge Students (1 of 4) Finished 14:00 - 16:00 Judge Business School, Computer Room

This module introduces students to four of the most commonly used statistical tests in the social scinces: Correlations, Chi-square tests, T-tests, and one-way ANOVAs.

Module 9: Meta Analysis (1 of 4) Finished 14:00 - 16:00 Titan Teaching Room 2

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.

Module 14: Research Ethics (1 of 3) Finished 14:00 - 16:00 Lecture Room B3,Criminology Department

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

16:00
Module 8: Factor Analysis and SEM (1 of 4) Finished 16:00 - 18:00 Titan Teaching Room 2

Introduction to statistical techniques of Exploratory and Confirmation Factor Analyss. EFA is used to uncover the latent structure of a set of variables. CFA examines whether collected date correspond to a model of what the data are meant to measure. AMOS will be introduced as a powerful tool to conduct confirmatory factor analysis.

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