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Module

EEE8165 : Research Skills and Development for Engineers

  • Offered for Year: 2025/26
  • 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

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 is undertaken via creation of a literature review and a poster presentation.

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Scheduled Learning And Teaching ActivitiesLecture11:001:00Thinking critically about literature
Guided Independent StudyAssessment preparation and completion110:0010:00Preparation of Literature Review
Scheduled Learning And Teaching ActivitiesLecture11:001:00Integrating information sources into your work
Scheduled Learning And Teaching ActivitiesLecture11:001:00Understanding Academic Culture for PG Study
Guided Independent StudyAssessment preparation and completion11:001:00Completion of online Ethics assessment
Scheduled Learning And Teaching ActivitiesLecture11:001:00Careers Service Talk
Guided Independent StudyAssessment preparation and completion15:005:00Revision for Ethics assessment
Scheduled Learning And Teaching ActivitiesLecture21:002:00General ethics in engineering and responsible use of AI tools
Guided Independent StudyAssessment preparation and completion13:003:00Presenting Poster
Scheduled Learning And Teaching ActivitiesLecture12:002:00Fundamental Data Practices
Scheduled Learning And Teaching ActivitiesLecture12:002:00Introduction to Python Programming
Guided Independent StudyAssessment preparation and completion110:0010:00Preparation of Poster
Scheduled Learning And Teaching ActivitiesPractical23:006:00Computer-based sessions introducing Matlab for solving engineering problems.
Scheduled Learning And Teaching ActivitiesPractical23:006:00Basic electronic instrumentation / circuit skills development
Scheduled Learning And Teaching ActivitiesPractical12:002:00Computer session - Fundamental Data Practices
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
Guided Independent StudyIndependent study194:0094:00Independent studying of lecture material, Matlab programming, Python
Guided Independent StudyIndependent study150:0050:00General reading relevant to the literature review
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.
The Matlab and Python sessions will be timetabled online sessions due to very large student numbers on this module as this has proven to be an effective method to teach Matlab over the last several years.

Assessment Methods

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

Other Assessment
Description Semester When Set Percentage Comment
Written exercise1M30Literature Review (1000 words)
Oral Examination1M70Poster presentation including assessment of Ethics
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
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, M7 and M8), and skill outcomes 1-5 (M1, M2, M3, M4).

The poster will include an 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).

Reading Lists

Timetable