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Research Methods: Data Analysis - ELE00124M

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  • Department: Electronic Engineering
  • Module co-ordinator: Dr. Noel Jackson
  • Credit value: 10 credits
  • Credit level: M
  • Academic year of delivery: 2021-22

Module summary

This module explores the general issues associated with engineering and business decision making where new information is required to inform those decisions - this is created through research. The module will enable students to build on existing data analysis knowledge or to learn the fundamentals of data analysis to equip them with the knowledge to undertake and evaluate research. The module assumes some prior knowledge gained from undergraduate study and so is taught through lectures to help set the scene. Lectures will cover data analysis (including statistical aspects), evaluation and writing up.

Module will run

Occurrence Teaching period
A Summer Term 2021-22

Module aims

Subject content aims:

  • Give students the tools or knowledge by which they can analyse data;

  • Clarify evaluation methods for collected data; and

  • Give feedback on chosen research methodologies and presentation formats for MSc projects to follow.

Graduate skills aims:

  • Capacity for analysis and synthesis

  • Capacity for applying knowledge in practice

  • Planning and Time management

  • Report writing

  • Communication skills

  • Research skills

  • Information management skills

Module learning outcomes

Subject content learning outcomes

After successful completion of this module, students will:

  • Analyse qualitative and/or quantitative information

  • Synthesise information and formulate appropriate outputs

  • Apply the principles of research ethics to data storage & reporting

  • Communicate the output of research appropriately

Graduate skills learning outcomes

After successful completion of this module, students will:

  • Analyse and synthesise data evidenced through the module assignment.
  • Apply knowledge in practice – evidence of application in the assignment
  • Plan and manage their time – plan their own activities and manage their own time to achieve the required deliverables
  • Write a data analysis report to a commercially acceptable standard
  • Communicate – through the report
  • Manage information – need to search for information from a number of sources, analyse and synthesise it from a relevance and usefulness point of view

Assessment

Task Length % of module mark
Essay/coursework
Individual Report
N/A 100

Special assessment rules

None

Reassessment

Task Length % of module mark
Essay/coursework
Individual Report
N/A 100

Module feedback

'Feedback’ at a university level can be understood as any part of the learning process which is designed to guide your progress through your degree programme. We aim to help you reflect on your own learning and help you feel more clear about your progress through clarifying what is expected of you in both formative and summative assessments.

A comprehensive guide to feedback and to forms of feedback is available in the Guide to Assessment Standards, Marking and Feedback. This can be found at https://www.york.ac.uk/students/studying/assessment-and-examination/guide-to-assessment/

The Department of Electronic Engineering aims to provide some form of feedback on all formative and summative assessments that are carried out during the degree programme. In general, feedback on any written work/assignments undertaken will be sufficient so as to indicate the nature of the changes needed in order to improve the work. Students are provided with their examination results within 20 working days of the end of any given examination period. The Department will also endeavour to return all coursework feedback within 20 working days of the submission deadline. The Department would normally expect to adhere to the times given, however, it is possible that exceptional circumstances may delay feedback. The Department will endeavour to keep such delays to a minimum. Please note that any marks released are subject to ratification by the Board of Examiners and Senate. Meetings at the start/end of each term provide you with an opportunity to discuss and reflect with your supervisor on your overall performance to date.

Indicative reading

Saunders, M., Lewis, P. and Thornhill, A. (2009) Research Methods for Business Students, 5th edition, Harlow: Pearson Education. ISBN 9780273716860

Taylor, S. (2001) Business Statistics, London: Palgrave-McMillan, ISBN 0333794451.

McNeill, P. (2005). Research Methods, 3rd Ed, London: Routledge. ISBN: 0415340764



The information on this page is indicative of the module that is currently on offer. The University is constantly exploring ways to enhance and improve its degree programmes and therefore reserves the right to make variations to the content and method of delivery of modules, and to discontinue modules, if such action is reasonably considered to be necessary by the University. Where appropriate, the University will notify and consult with affected students in advance about any changes that are required in line with the University's policy on the Approval of Modifications to Existing Taught Programmes of Study.