EEE8165 : Research Skills and Development for Engineers
EEE8165 : Research Skills and Development for Engineers
- Offered for Year: 2026/27
- Module Leader(s): Dr Andrew Smith
- Owning School: Engineering
- Teaching Location: Newcastle City Campus
Semesters
Your programme is made up of credits, the total differs on programme to programme.
| Semester 1 Credit Value: | 20 |
| ECTS Credits: | 10.0 |
| European Credit Transfer System | |
Pre-requisite
Modules you must have done previously to study this module
Pre Requisite Comment
N/A
Co-Requisite
Modules you need to take at the same time
Co Requisite Comment
N/A
Aims
To introduce new concepts and refresh existing skills in the areas necessary for research, which will be useful for not only student’s individual projects, but also their future careers. These areas include practical and computing skills, data management, information acquisition and sorting, and presenting complex information.
Outline Of Syllabus
This module introduces the important skills necessary for research projects. These include the use of industrially relevant computer packages and languages, the ability to locate, analyse, and critically evaluate appropriate published material, the skills to present this to an appropriate technical audience, both textually and verbally, and to demonstrate the ability to reflect on the ethical aspects of research.
Assessment for this module is conducted through the development of a literature review, which underpins the creation of a poster presentation.
Learning Outcomes
Intended Knowledge Outcomes
The mapping of AHEPv4 learning outcomes to each intended knowledge outcome is indicated in each point. By the end of the module:
1. Students will have been introduced to good data practices, shaping techniques, and approaches, through a value chain framework [M2].
2. Students will have been exposed to a software-driven approach to the collection, storage, exploration, analysis and communication of data in support of robust decision making and evidence-based research [M2].
3. Students will be able to identify key journal titles and authoritative sources in a research area [M4].
4. Students will be able to perform advanced searching techniques in a range of subject-specific resources, and be able to articulate and justify the decisions they have made in choosing and using sources appropriate to their needs [M4].
5. Student will be able to follow the development of an area of research, critically evaluating contributions in different publications and identify open research problems [M4].
6. Students will have been exposed to the environmental and societal impacts of solutions to complex engineering problems [M7].
7. Students will be able to identify and analyse ethical concerns and make reasoned ethical choices informed by professional codes of conduct [M8].
8. Students will have developed their practical skills in a lab environment [M12].
Intended Skill Outcomes
The mapping of certain AHEPv4 learning outcomes to each intended skill outcome is indicated in each point below. By the end of the module, it is expected that:
1. Students will be able to demonstrate competency in retrieving, appraising, describing, and sharing data-driven insights using a software-driven approach [M2].
2. Students will be able to interpret and describe technical information [M1, M4].
3. Students will be able to find literature on unfamiliar topics using appropriate software [M3]
4. Students will be able to cite literature using appropriate software (e.g. Endnote) [M3]
5. Students will be able to demonstrate organisational and planning skills and be able to communicate findings of their literature surveys to a professional / organisational audience [M17].
6. Students will be able to use Matlab and SPICE software to simulate complex engineering systems and solve problems [M3].
7. Students will be able to use laboratory instrumentation to build and evaluate electronic circuits [M12].
Teaching Methods
Teaching Activities
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Scheduled Learning And Teaching Activities | Lecture | 1 | 1:00 | 1:00 | Integrating information sources into your work |
| Guided Independent Study | Assessment preparation and completion | 1 | 1:00 | 1:00 | Completion of online Ethics assessment |
| Scheduled Learning And Teaching Activities | Lecture | 2 | 1:00 | 2:00 | General ethics in engineering and responsible use of AI tools |
| Scheduled Learning And Teaching Activities | Lecture | 1 | 1:00 | 1:00 | Understanding Academic Culture for PG Study |
| Guided Independent Study | Assessment preparation and completion | 1 | 5:00 | 5:00 | Revision for Ethics assessment |
| Scheduled Learning And Teaching Activities | Lecture | 1 | 2:00 | 2:00 | Fundamental Data Practices |
| Scheduled Learning And Teaching Activities | Lecture | 1 | 1:00 | 1:00 | Careers Service Talk |
| Guided Independent Study | Assessment preparation and completion | 1 | 3:00 | 3:00 | Presenting Poster |
| Scheduled Learning And Teaching Activities | Lecture | 3 | 2:00 | 6:00 | Introduction to Python Programming |
| Scheduled Learning And Teaching Activities | Lecture | 1 | 1:00 | 1:00 | Introductory Lecture |
| Guided Independent Study | Assessment preparation and completion | 1 | 10:00 | 10:00 | Preparation of Poster |
| Guided Independent Study | Assessment preparation and completion | 1 | 10:00 | 10:00 | Preparation of Literature Review |
| Scheduled Learning And Teaching Activities | Lecture | 1 | 1:00 | 1:00 | Thinking critically about literature |
| Scheduled Learning And Teaching Activities | Practical | 3 | 3:00 | 9:00 | Basic electronic instrumentation / circuit skills development |
| Scheduled Learning And Teaching Activities | Practical | 1 | 2:00 | 2:00 | Computer session - Fundamental Data Practices |
| Scheduled Learning And Teaching Activities | Practical | 3 | 3:00 | 9:00 | Introduction to Circuit Simulation Software (LTSpice) |
| Structured Guided Learning | Academic skills activities | 1 | 2:00 | 2:00 | Canvas videos on Presentations and Posters |
| Scheduled Learning And Teaching Activities | Practical | 1 | 1:00 | 1:00 | Computer Session - Finding information for Electrical and Electronic Engineering |
| Scheduled Learning And Teaching Activities | Practical | 4 | 2:00 | 8:00 | Computer-based sessions introducing Matlab for solving engineering problems. |
| Guided Independent Study | Independent study | 1 | 50:00 | 50:00 | General reading relevant to the literature review |
| Guided Independent Study | Independent study | 1 | 75:00 | 75:00 | Independent studying of lecture material, Matlab programming, Python |
| Total | 200:00 |
Teaching Rationale And Relationship
The module will have a combination of in-person and recorded lectures. The in-person lectures will teach fundamental skills on reviewing literature, report writing, communication skills, appropriate use of data, the importance of ethics and responsible use of AI tools, and risk management. Recorded lectures will focus on presentation skills and poster creation.
Practical and computer session will look to introduce the fundamentals of Matlab and Python, strengthen electronics circuit skills, and discuss fundamental data practices.
Reading Lists
Assessment Methods
The format of resits will be determined by the Board of Examiners
Exams
| Description | Length | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|---|
| Oral Examination | 30 | 1 | M | 100 | Poster Presentation |
Formative Assessments
Formative Assessment is an assessment which develops your skills in being assessed, allows for you to receive feedback, and prepares you for being assessed. However, it does not count to your final mark.
| Description | Semester | When Set | Comment |
|---|---|---|---|
| Prob solv exercises | 1 | M | Matlab Exercises - Feedback given at the end of each Matlab exercise, which will be beneficial for the individual project module |
| Computer assessment | 1 | M | Online assessment on Ethics |
Assessment Rationale And Relationship
The literature review and poster presentation will assess the students’ ability to summarise a cutting-edge research area and their communication skills to an audience of experts and non-experts. It will also assess their understanding of the research area. Both of these will be valuable for other modules on the programme, including the individual project. These cover knowledge outcomes 1-5 (M2, M4), and skill outcomes 1-5 (M1, M2, M3, M4).
The formative Ethics assessment will assess students understanding of ethics and ethical conduct. This covers knowledge outcomes 6-7 (M7, M8).
The formative Matlab exercises allow students to learn how to use Matlab to solve general engineering problems, which will be useful for other modules and the individual project. This covers skill outcome 6 (M3).
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- EEE8165's Timetable
Past Exam Papers
- Exam Papers Online : www.ncl.ac.uk/exam.papers/
- EEE8165's past Exam Papers
General Notes
N/A
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Disclaimer
The information contained within the Module Catalogue relates to the 2026 academic year.
In accordance with University Terms and Conditions, the University makes all reasonable efforts to deliver the modules as described.
Modules may be amended on an annual basis to take account of changing staff expertise, developments in the discipline, the requirements of external bodies and partners, staffing changes, and student feedback. Module information for the 2027/28 entry will be published here in early-April 2027. Queries about information in the Module Catalogue should in the first instance be addressed to your School Office.