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JSSS Programme 2010-11

Programme of events provided by Joint Schools' Social Sciences
(Wed 6 Oct 2010 - Tue 15 Mar 2011)

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Wed 20 Oct 2010 – Mon 15 Nov 2010

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Wednesday 20 October 2010

14:00
Module 16: Comparative Historical Methods (2 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 25 October 2010

14:00
Module 6: Spatial Data Analysis (3 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 1: Foundations in 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 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

Tuesday 26 October 2010

14:00
Module 1: Foundations in 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 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
Module 1: Foundations in 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 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
16:00
Module 5: Further Regression Topics (3 of 4) Finished 16:00 - 18:00 Titan Teaching Room 2

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.

Wednesday 27 October 2010

14:00
Module 16: Comparative Historical Methods (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 1 November 2010

14:00
Module 6: Spatial Data Analysis (4 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 1: Foundations in 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 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

Tuesday 2 November 2010

14:00
Module 1: Foundations in 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 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
Module 1: Foundations in 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 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
16:00
Module 5: Further Regression Topics (4 of 4) Finished 16:00 - 18:00 Titan Teaching Room 2

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.

Wednesday 3 November 2010

10:00
Module 18: Researching Organisations (1 of 3) Finished 10:00 - 12:00 8 Mill Lane Lecture Room 4

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

14:00
Module 16: Comparative Historical Methods (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 8 November 2010

14:00
Module 6: Spatial Data Analysis (5 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) (1 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 9 November 2010

14:00
Module 12: Designing Surveys (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 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) (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.

This module is essential for the statistical methods modules, which follow.

Module 2: SPSS and Descriptive Statistics (Series 2) (1 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 (1 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 (1 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 10 November 2010

10:00
Module 18: Researching Organisations (2 of 3) Finished 10:00 - 12:00 8 Mill Lane Lecture Room 4

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

14:00
Module 17 Conversation and Discourse Analaysis (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 15 November 2010

14:00
Module 6: Spatial Data Analysis (6 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) (2 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.

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