Browse or search for courses

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

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

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

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

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 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.

The module provides an overview of interviewing as a social research method - guidance on planning interviews, pre-interview and post-interview tasks, positionality and ethics. It also provides an introduction to module structure, based on a specific interview topic. It concentrates on the processes of organising information after interviews, including interpretation through coding and close reading. Case Studies will look at PhD research on perceptions of forest use in Madagascar; in particualar the process of gathering qualitative interviews - planning through transcription to analysis. Looking at issues of gaining access and introducing sensitive research to interviewees, creating a good interview environment; the ethics of researching controversial/illegal topics.

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.

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 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 introduces students to one of the most fundamental statistical techniques, namely regression analysis. Students learn about assumptions underlying regression models, how to run regression analysis using SPSS and how to access and solve possible problems with a regression model.

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.

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.

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.

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.

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 is the Excel Course

An introduction to the wide range of resources available at the Pendlebury Library and the UL's Music Department.

This beginners course equips you with the skills to implement a relational database design entity relationship diagram (ERD) into a MySQL database.

This is a CD-ROM-based video presentation on Dragon NaturallySpeaking Version 7 (voice recognition software). Designed for both new and practised users of Dragon NaturallySpeaking Version 7, presenter Dan Newman visually guides you through key topics and skills, whilst suggesting various useful hints and tips. Each volume takes approximately 2 hours. The video is designed to complement the printed User Guide and taught courses (manpower permitting, one-to-one tuition is available from the Computing Service).

Personal development is unique to each individual. It is about having time for yourself to take stock and consider your next moves. During this programme you will explore your future in a practical way and learn how to develop your potential. You will undertake realistic self-assessment and set challenging goals. Key areas covered include communication skills, assertiveness, improving your work/life balance and developing positive skills and attitude. If you want to progress and develop, then this programme is for you.

Personal development is unique to each individual. It is about having time for yourself to take stock and consider your next moves. During this programme you will explore your future in a practical way and learn how to develop your potential. You will undertake realistic self-assessment and set challenging goals. Key areas covered include communication skills, assertiveness, improving your work/life balance and developing positive skills and attitude. If you want to progress and develop, then this programme is for you.

'The Online Netskills Interactive Course' (TONIC) is a web-based learning course on using the Internet. TONIC is an easy-to-understand, structured course, offering step-by-step, practical guidance on main Internet topics. The course is intended for beginners to networking who have some familiarity with computers. The course provides an introduction to the Internet and computer networks in general.

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

The skills and knowledge covered in this publication will allow you to become quickly proficient in the changes and new features introduced in Microsoft Office 2007. Access 2007 is not included in this course.

This short on-line course is for anyone who will be using the Cambridge University Financial System (CUFS) for the first time. Completion is a pre-requisite for delegates attending subsequent courses that specialise in certain parts of the system.

Delegates attending face-to-face iProcurement training or completing iProcurement training online do not need to complete this course.

The on-line course is a mixture of reading, interactive demonstrations, mini tasks and a final task to consolidate and confirm your understanding.

During the on-line course you will:

   * Be given an overview of the whole financial system
   * Gain confidence in manoeuvring around the screens within certain parts of the system
   * Discover helpful features and short cuts within the screens
   * Develop a basic appreciation of the University's account code structure
   * Become aware of the possible sources of further help

It is essential that the course is completed at least one week prior to the next finance course you wish to attend.