- Department: Electronic Engineering
- Credit value: 20 credits
- Credit level: M
- Academic year of delivery: 2024-25
- See module specification for other years: 2023-24
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 theoretical foundations of the research process and any existing data analysis knowledge. Students will learn the fundamentals of research methods theory and data analysis to equip them with the knowledge to undertake and evaluate research.
Occurrence | Teaching period |
---|---|
A | Semester 1 2024-25 |
Subject content aims:
Enable students to fully understand the range of research approaches, methodologies and strategies used in research;
Give students the tools or knowledge by which they can design a research proposal applying relevant research strategies to collect and test data;
Clarify evaluation methods for qualitative and quantitative data;
Ensure students are able to carry out appropriate research ensuring an ethical research methodology is employed;
Graduate skills aims:
To develop capacity for analysis and synthesis of data instances
To develop research skills on exploring real-world engineering issues
To develop an ability to structure and present information concisely
An improved capacity for applying knowledge in practice
Subject content learning outcomes
After successful completion of this module, students will:
Graduate skills learning outcomes
After successful completion of this module, students will be able to:
Introduction to Research
Theoretical foundations of Research Methods
Qualitative Research Methods
Quantitative Research Methods
Mixed Research Methods
Different Research strategies .
Research Design and Process
Data Collection Techniques
Interview Design and Analysis
Statistical Data Analysis
Research Data Presentation
Task | % of module mark |
---|---|
Closed/in-person Exam (Centrally scheduled) | 40 |
Online Exam - 24 hrs (Centrally scheduled) | 40 |
University - project | 20 |
None
For the data analysis open book exam, assume use of Excel for statistics rather than more specific software e.g. SPSS.
Task | % of module mark |
---|---|
Closed/in-person Exam (Centrally scheduled) | 40 |
Online Exam - 24 hrs (Centrally scheduled) | 40 |
'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.
The School of PET 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. The School will endeavour to return all exam feedback within the timescale set out in the University's Policy on Assessment Feedback Turnaround Time. The School would normally expect to adhere to the times given, however, it is possible that exceptional circumstances may delay feedback. The School 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.