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Module

NES8006 : Data preparation, analysis, interpretation and presentation for MSc

  • Offered for Year: 2019/20
  • Module Leader(s): Mrs Helen Adamson
  • Lecturer: Professor Mark Reed
  • Owning School: Natural and Environmental Sciences
  • Teaching Location: Newcastle City Campus
Semesters
Semester 1 Credit Value: 10
ECTS Credits: 5.0

Aims

To be equipped to analyse data for qualitative or quantitative research projects.

Outline Of Syllabus

Will focus on preparing data for analysis, understanding which test to do, how to do it in RCommander and how to present results for the dissertation
• Qualitative data: research design and evaluative criteria; research methods;
Quantitative data: Correlation and regression; parametric and non-parametric comparison of means; multivariate techniques using R Commander and Vegan within RStudio.

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Guided Independent StudyAssessment preparation and completion13:003:00Examination
Guided Independent StudyAssessment preparation and completion17:007:00Exam Revision
Scheduled Learning And Teaching ActivitiesLecture22:004:00Qualitative research
Scheduled Learning And Teaching ActivitiesLecture90:000:00Stats Lecture
Scheduled Learning And Teaching ActivitiesPractical92:0018:00Stats practicals
Guided Independent StudyDirected research and reading74:0028:00Writing up notes, reading on topics of interest
Guided Independent StudyDirected research and reading74:0028:00Writing up notes, reading on topics of interest
Guided Independent StudyIndependent study112:0012:00N/A
Total100:00
Teaching Rationale And Relationship

A combination of lectures with associated practicals to allow students to learn theory then practise data analysis techniques in computer labs.

Assessment Methods

The format of resits will be determined by the Board of Examiners

Exams
Description Length Semester When Set Percentage Comment
PC Examination1801M100Open book 'controlled assessment'
Assessment Rationale And Relationship

Assessment will assess students’ learning as they will be presented with data sets; they have to decide how best to analyse, interpret and present the data to answer specific questions.

Reading Lists

Timetable