Module Catalogue 2026/27

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 ActivitiesLecture11:001:00Integrating information sources into your work
Guided Independent StudyAssessment preparation and completion11:001:00Completion of online Ethics assessment
Scheduled Learning And Teaching ActivitiesLecture21:002:00General ethics in engineering and responsible use of AI tools
Scheduled Learning And Teaching ActivitiesLecture11:001:00Understanding Academic Culture for PG Study
Guided Independent StudyAssessment preparation and completion15:005:00Revision for Ethics assessment
Scheduled Learning And Teaching ActivitiesLecture12:002:00Fundamental Data Practices
Scheduled Learning And Teaching ActivitiesLecture11:001:00Careers Service Talk
Guided Independent StudyAssessment preparation and completion13:003:00Presenting Poster
Scheduled Learning And Teaching ActivitiesLecture32:006:00Introduction to Python Programming
Scheduled Learning And Teaching ActivitiesLecture11:001:00Introductory Lecture
Guided Independent StudyAssessment preparation and completion110:0010:00Preparation of Poster
Guided Independent StudyAssessment preparation and completion110:0010:00Preparation of Literature Review
Scheduled Learning And Teaching ActivitiesLecture11:001:00Thinking critically about literature
Scheduled Learning And Teaching ActivitiesPractical33:009:00Basic electronic instrumentation / circuit skills development
Scheduled Learning And Teaching ActivitiesPractical12:002:00Computer session - Fundamental Data Practices
Scheduled Learning And Teaching ActivitiesPractical33:009:00Introduction to Circuit Simulation Software (LTSpice)
Structured Guided LearningAcademic skills activities12:002:00Canvas videos on Presentations and Posters
Scheduled Learning And Teaching ActivitiesPractical11:001:00Computer Session - Finding information for Electrical and Electronic Engineering
Scheduled Learning And Teaching ActivitiesPractical42:008:00Computer-based sessions introducing Matlab for solving engineering problems.
Guided Independent StudyIndependent study150:0050:00General reading relevant to the literature review
Guided Independent StudyIndependent study175:0075:00Independent studying of lecture material, Matlab programming, Python
Total200:00
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 Examination301M100Poster 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 exercises1MMatlab Exercises - Feedback given at the end of each Matlab exercise, which will be beneficial for the individual project module
Computer assessment1MOnline 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

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.