CSED PROGRAMME 2017-18 CSED PROGRAMME 2017-18

 

Within this section:

PAGE 1: EFFECTIVE RESEARCH GRANT APPLICATIONS & RESEARCH METHODOLOGY, WRITING & ENGAGEMENT
THIS PAGE: COMPUTING FOR RESEARCH
PAGE 3: RESEARCHER CAREER DEVELOPMENT
PAGE 4: ADDITIONAL SERVICES

COMPUTING FOR RESEARCH COMPUTING FOR RESEARCH

 

 

INTRODUCTION TO NVIVO

Date and Time: Thursdays 2 & 9 November 2017, 1.30-4.30pm

Repeated: Wednesdays 28 February and 7 March 2018, 1.30-4.30pm

Venue:   ARTS, 1.03

Trainer: Steve Oldfield, CSED

RDF Domains: A1, A3

Other information: Participants should have a general familiarity with the use of Windows features such as menus, toolbars and dialogue boxes. Course materials are provided.

How to book: judith.smith@uea.ac.uk or book online (opens the IT booking form)

 

Do you some familiarity with analysing qualitative data and want to make this task easier and better organised by using the NVivo software package?  Now that UEA has a site licence for NVivo it is available to all staff and students.  Would these skills be useful:

  • creating an NVivo project and importing a range of qualitative data including text, images, audio and video files
  • creating nodes, cases and relationships with which to code your data
  • coding all or part of a document, uncoding and viewing the coding you’ve done
  • using auto code techniques with interview transcripts and surveys
  • rationalising coding by merging nodes that are similar
  • grouping project items in sets
  • creating attributes to record some quantitative variable based data about cases
  • managing attribute values in classification sheets
  • interrogating the data with five different query types
  • creating mind maps and project maps to explore your ideas and to present aspects of the project in a diagrammatic way?

This course will include:

  • explanation of how to use the techniques
  • practical application of the techniques covered using demonstration data
  • opportunity to ask questions.

The course is delivered face-to-face and a course booklet will be issued (the booklet and a short guide to coding images, audio and video files in NVivo, are both available on the CSED website).

Please note - this course focuses on the basic use of the software package, it is not a research methods course.


 

INTRODUCTION TO IMAGE ANALYSIS USING IMAGEJ

Date and Time: Monday 4 December 2017, 1.00-3.00pm

Venue: ITCS 0.17

Facilitator: Paul Thomas, UEA and Grant Calder, JIC

RDF Domains: A1, A3

How to book: rsconnect@uea.ac.uk or book online 


This course is aimed at PhD students and post-doctoral researchers. It delivers a basic introduction to digital images, their format, bit-depth, pixel size and intensity. We demonstrate how you can use ImageJ/Fiji to analyse simple 2D images through worked examples and hands-on exercises. Delegates are encouraged to bring their own images, either microscopic or gel/blot images.

Delegates go away with an understanding of what a digital image actually is, a basic working-knowledge of ImageJ/Fiji, and are able to use this programme to analyse their own 2D images.


 

AN INTRODUCTION TO PROGRAMMING WITH R FOR NON-PROGRAMMERS 

Date and Times: Part 1: Monday 13 November 2017 & Part 2: Tuesday 14 November 2017, 9.00am-1.00pm

Venues: Part 1: ARTS 1.04 & Part 2: ITCS 0.17

Facilitator:   Felipe De Jesus Colon Gonzalez, ENV

RDF Domains: A1, A3

How to book: rsconnect@uea.ac.uk or book online 

  

This workshop provides an initial understanding of R, with an emphasis on its practical use with the development of hands-on experience through a series of exercises. Participants are introduced to simple functions and how different objects are handled by R, entering and evaluating data; including reading and writing text and csv files. This workshop covers the use of basic plotting tools for exploratory data analysis; creating summary statistics, frequency tables as well as contingency tables.

Additional information: If you are already familiar with R, Matlab, Python or other programming language, and/or have a basic understanding of graphical methods, then this course is not for you. It is expected that participants with attend both workshops.

 

SPSS

The five SPSS workshops are for those with different levels of expertise in SPSS.  The emphasis throughout the four workshops is on the practical use of SPSS, rather than statistical theory.  All workshops have a strong graphical emphasis and include hands-on exercises as well as opportunities for feedback and Q&A periods.  It is not a requirement to attend all four workshops.  

 

AN INTRODUCTION TO SPSS

Date and Time:  Wednesday 10 January 2018, 9.00am-12.00pm

Venue:  ARTS, 1.04

Facilitator: Simon Poulton

RDF Domains:  A1, A3

Other information:  Prior knowledge of SPSS is not essential.

How to book: rsconnect@uea.ac.uk or book online 

 

This workshop introduces you to the SPSS statistical software and covers ways to create and interpret histograms, bar charts and scatter plots using the interactive 'Chart Builder', as well as two main themes;

  • Getting started, including an introduction to the SPSS environment (windows & settings), definition of variables, opening and saving SPSS files and importing data from other software packages
  • Exploring your data, including how to create summary statistics for your variables and the creation of frequency tables and cross-tabulations between variables.  

 

 

USING SPSS FOR BASIC DATA ANALYSIS

Date and Time: Thursday 11 January 2018, 9.00am-12.00pm

Venue: ARTS, 1.04

Facilitator: Simon Poulton

RDF Domains: A1, A3

Other information:  To benefit from this workshop you should be familiar with using SPSS

How to book: rsconnect@uea.ac.uk or book online 

Other information: If you understand and have successfully completed statistical analyses such as ANOVA and linear regression then this course may not be suitable.

 

This workshop assumes that you have used PASW before and have a basic understanding of statistical analysis and testing methods.  It continues the practical use of SPSS and covers three main themes:

  • More advanced ways to manage data, extracting data from databases and understanding variable properties.  More sophisticated graphical techniques provided in the 'Chart Builder' such as quantile plots, probability plots and box-and-whisker plots for exploring data  
  • Introduce hypothesis testing for categorical variables using the comprehensive 'Crosstabs' routines in SPSS, followed by an exploration of goodness-of-fit and contingency Chi-square tests
  • Exploration of SPSS facilities for hypothesis testing of continuous variables. Covering one, two and paired-sample t-tests, focusing on the ways to organise data and interpret outputs.  Parametric and non-parametric methods are compared and contrasted.

 

 

USING SPSS FOR ADVANCED DATA ANALYSIS I

Date and Time: Wednesday 7 March 2018, 9.00am-12.00pm

Venue:  ARTS, 1.03

Facilitator: Simon Poulton

RDF Domains:  A1, A3

Other information:  To benefit from this workshop you should be well-versed in the use of SPSS or other statistics software as well as confident with manipulating data, although perhaps unsure how to achieve this in SPSS.  An understanding of the basic statistical testing procedures and concepts such as:

  • Sums-of-squares and variances
  • Confidence intervals
  • How to interpret p-values is also required.

If you have extensive experience in data analysis using GLMs for linear modelling, then this course may not be suitable.

How to book: rsconnect@uea.ac.uk or book online 

 

This workshop introduces the concepts of Analysis-of-Variance, Linear Regression and General Linear Models, how they are run and interpreted in SPSS.  

It covers:

  • Use of advanced SPSS data handling methods; transposing data using the 'Restructure Data Wizard' and the comprehensive two-stage process for data validation, including the detection of outliers and the use of advanced graphics
  • One-way ANOVA, comparing the traditional approach with a GLM modelling approach.  It will then move forward to two-way and multi-way ANOVA
  • Methods of correlation and regression analysis.  SPSS offers a wide range of regression analyses, so we will begin with simple linear regression
  • We will then cover a brief introduction to multiple regression models.

 

 

USING SPSS FOR ADVANCED DATA ANALYSIS II

Date and Time:  Wednesday 23 May 2018, 9.00am-12.00pm

Venue: ARTS, 1.03

Facilitator: Simon Poulton

RDF Domains:  A1, A3

Other information:  You should have considerable experience of manipulating data and an understanding of basic linear modelling techniques.  Familiarity with interpreting the outputs from simple ANOVA and regression models is also required.  If you are curious about residuals plots, post-hoc testing or more complex types of linear models then this workshop may be for you.

How to book: rsconnect@uea.ac.uk or book online 


This workshop continues the theme of practical use of the software, with an emphasis on data exploration and graphics.  It expands on the use of GLM models for data analysis in four main themes:

  • The use of comprehensive techniques in SPSS to explore the importance of residuals and diagnostic tests in ANOVA and regression models.  This will include tests for scedasticity, post-hoc tests and model goodness-of-fit testing
  • Next we cover a brief introduction to Analysis-of-Covariance (ANCOVA). Emphasis will be on how to organise your data and specify models using the GLM dialogue boxes  
  • An explanation of the importance of fixed and random factors in ANOVA.  This will lead to a simple introduction to mixed models
  • Finally, we explore repeated-measures models and how they are implemented and defined in SPSS, including one-way and multi-way models with interactions.  

 

 

USING SPSS FOR ADVANCED DATA ANALYSIS III

Date and Time:  Thursday 24 May 2018, 9.00am-12.00pm

Venue: ARTS, 1.03

Facilitator: Simon Poulton

RDF Domains:  A1, A3

Other information:  This is the fifth in the series of workshops designed to introduce you to SPSS for data analysis and statistical testing.  It continues the theme of practical use of the software, with an emphasis on data exploration and graphics.  It expands on the ‘Using SPSS for advanced data Analysis II’, which introduced ANCOVA and the Repeated-measures ANOVA. You should have considerable experience of manipulating data and an understanding of basic linear modelling techniques.  You should be familiar with interpreting the outputs from simple ANOVA and regression models.  If you are curious about residuals plots, post-hoc testing or more complex types of linear models then this workshop may be for you. The emphasis in this workshop is on the use of the SPSS software to apply statistical analyses to your data, not on the statistical theory behind the tests applied.

How to book: rsconnect@uea.ac.uk or book online 

 

This workshop has three main themes; Firstly, it explores the step-wise model-building process for linear regression when a large number of predictors are present. Secondly, it introduces the concept of curvilinear models such as polynomial regression, concentrating on their use and abuse. Thirdly, it explores two types on non-linear regression for specific types of data; a) logistic regression models for binary data and b) Poisson regression for count data.  The emphasis here is on specifying the models and interpreting the SPSS outputs.

 

 

AN INTRODUCTION TO STATA I 

Date and Time:  Thursday 19 April 2018, 1.00–2.00pm NEW DATE

Venue: BIO, 0.12 

Facilitator: Joel Clovis, ECO

RDF Domains:  A1, A3

Other information:  No prior knowledge of STATA is assumed, however, some knowledge of quantitative methods such as bivariate analysis and/or ANOVA would be useful to understand some of the examples.  

How to book: rsconnect@uea.ac.uk or book online 


These workshops introduce you to the econometric software STATA, a world leader in its field.  This is the first of three workshops for beginners who possess some technical understanding of the data that they want to analyse, so that they possess some idea of what they would like to get out of the system.  This first workshop incorporates a demonstration of some of its functions regarding its menu and the handling of data, inputs, outputs and file management.

 

 

AN INTRODUCTION TO STATA II

Date and Time: Thursday 26 April 2018, 1.00– 2.00pm NEW DATE

Venue: BIO, 0.12 

Facilitator: Joel Clovis, ECO

RDF Domains:  A1, A3

Other information:  This is the second of four introductory STATA workshops.

How to book: rsconnect@uea.ac.uk or book online 

 

This workshop goes into greater depth regarding what STATA can do for you.  It covers aspects of its graphics, analysis and inline programming.  The power of the STATA software is explored with the use of helpful simulations, bootstrapping and other tools and activities.


 

AN INTRODUCTION TO STATA III 

Date and Time: Thursday 3 May 2018, 1.00pm–2.00pm NEW DATE

Venue: BIO, 0.12

Facilitator: Joel Clovis, ECO

RDF Domains:  A1, A3

Other information:  This is the third of four workshops that offer an introduction to STATA.  

How to book: rsconnect@uea.ac.uk or book online 

 

This introductory workshop to STATA shows participants how they can achieve prize-winning research from using STATA; from gathering and analysing the data to the successful publication of the research results. This third workshop offers ‘from cradle to grave’ applied examples from various disciplines.


 

AN INTRODUCTION TO STATA IV

Date and Time: Thursday 10 May 2018, 11.00–2.00pm NEW DATE

Venue: BIO, 0.12 

Facilitator: Joel Clovis, ECO

RDF Domains:  A1, A3

Other Information:  Early booking is strongly advised for this workshop as well as informing CSED of your particular training requirements to give the trainer sufficient time to match your needs. Once you have booked on this course you are expected to attend, as it will be one-to-one session that will have been specifically designed to meet your needs.

How to book: rsconnect@uea.ac.uk or book online 


This final workshop focuses on those users who want to examine specific models that relate to their own work.  It can be designed to cover areas such as:

  • modelling survey data 
  • hazard and survival models 
  • decomposition of time-series data  
  • parametric and non-parametric approaches 
  • methods for high-frequency data analysis 
  • Introduction to Bayesian Inference.


AN INTRODUCTION TO ATLAS.TI  

Date and Time: Wednesday 8 November 2017, 9.30am-4.30pm

Venue:  ARTS, 1.03 

Facilitator: Christina Silver, QDAS

RDF Domains:  A1, A3

Other Information:  Use of sample data will be provided by the tutor during the workshop. This course is limited to 14 places.

How to book: rsconnect@uea.ac.uk or book online 

 

ATLAS.ti is a powerful workbench tool for the analysis of large bodies of textual, graphical, audio and video data.  Its tools enable you to arrange, reassemble and manage your data in creative, yet systematic ways in whatever your field of research.  This workshop introduces you to this software and enables you to better understand the potential that the program can offer to you and your specific needs.

Further information about this powerful tool can be found here: http://atlasti.com/product/v8-windows/ 

 

 

INTRODUCTION TO LINUX 

Linux is a powerful and versatile open source operating system frequently found powering desktop computers and servers, including the UEA High Performance Computing Cluster.  In a one-to-one or small group sessions we work through the fundamental skills needed to begin working with Linux tailored to the individual: from familiarising participants with the working environment, using common commands and file management to more advanced usage and scripting. For further information and to register your interest, contact hpc.admin@uea.ac.uk 

RDF Domains: A1, A3

 

INTRODUCTION TO HIGH POWERED COMPUTING

Do you have a computational element to your research?  In a one-to-one session we introduce UEA’s HPC cluster and discuss how it can benefit your research looking at your own specific computational requirements.  We go through the initial steps on using the HPC cluster and help you get started with your own task. For further information and to register your interest, contact hpc.admin@uea.ac.uk 

RDF Domains: A1, A3

 

GNU IMAGE MANIPULATION PROGRAM (GIMP) ONLINE TUTORIALS

GIMP is an open resource, cross-platform image editor which can be used on many operating systems, including GNU/Linux, OS X, Windows and more.  It is a free software programme which will enable you, whatever your research role, to produce both stunning and practical images for your research reports and publications.  The GIMP online tutorials https://www.gimp.org/tutorials provide helpful information if you are using this software for the first time.

RDF Domains: A1, A3