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Programme Specification

PgCert Mechanical Engineering

Academic Year 2022/23

A programme specification is required for any programme on which a student may be registered. All programmes of the University are subject to the University's Quality Assurance processes. All degrees are awarded by Queen's University Belfast.

Programme Title PgCert Mechanical Engineering Final Award
(exit route if applicable for Postgraduate Taught Programmes)
Postgraduate Certificate
Programme Code MEE-PC-MA UCAS Code HECoS Code 100190 - Mechanical engineering - 100
ATAS Clearance Required No
Mode of Study Part Time
Type of Programme Postgraduate Length of Programme Part Time - 1 Academic Year
Total Credits for Programme 60
Exit Awards available No

Institute Information

Teaching Institution

Queen's University Belfast

School/Department

Mechanical & Aerospace Engineering

Quality Code
https://www.qaa.ac.uk/quality-code

Higher Education Credit Framework for England
https://www.qaa.ac.uk/quality-code/higher-education-credit-framework-for-england

Level 7

Subject Benchmark Statements
https://www.qaa.ac.uk/quality-code/subject-benchmark-statements

The Frameworks for Higher Education Qualifications of UK Degree-Awarding Bodies
https://www.qaa.ac.uk/docs/qaa/quality-code/qualifications-frameworks.pdf

Engineering (2015)

Accreditations (PSRB)

No accreditations (PSRB) found.

Regulation Information

Does the Programme have any approved exemptions from the University General Regulations
(Please see General Regulations)

No

Programme Specific Regulations

None

Students with protected characteristics

N/A

Are students subject to Fitness to Practise Regulations

(Please see General Regulations)

No

Educational Aims Of Programme

The programme aims to produce graduates who:

•Are pragmatic, taking a systematic approach and the logical and practical steps necessary for, often complex, concepts to become reality.

•Seek to achieve sustainable solutions to problems and have strategies for being creative, innovative and overcoming difficulties by employing their skills, knowledge and understanding in a flexible manner.

•Skilled at solving problems by applying their numerical, computational, analytical and technical skills, using appropriate tools.

•Risk, cost and value-conscious, and aware of their ethical, social, cultural, environmental, health and safety, and wider professional responsibilities.

•Are familiar with the nature of business and enterprise in the creation of economic and social value.

•Appreciate the global dimensions of engineering, commerce and communication.

•Are able to formulate and operate within appropriate codes of conduct, when faced with an ethical issue.

•Professional in their outlook, capable of team working, effective communicators, and able to exercise responsibility and sound management approaches.

Learning Outcomes

Learning Outcomes: Cognitive Skills

On the completion of this course successful students will be able to:

EA6M: Apply appropriate engineering analysis methods for solving complex problems in engineering and to assess their limitations.

Teaching/Learning Methods and Strategies

Case study readings, lectures, seminars, and case study/practical sessions on analysis methods in energy systems, computer-aided engineering, and manufacturing technology.

Methods of Assessment

Group project and case study/practical assignment deliverables discussing and using methods in energy systems, computer-aided engineering, and manufacturing technology.

EA5m: Appraise new and emerging technologies for engineering applications.

Teaching/Learning Methods and Strategies

Case study readings, lectures, seminars, and case study/practical sessions on the use of fundamental knowledge from energy systems, computer-aided engineering, and manufacturing technology to investigate new and emerging technologies.

Methods of Assessment

Case study assignment deliverables discussing and using knowledge from energy systems, computer-aided engineering, and manufacturing technology to investigate new and emerging technologies.

EA7M: Collect and analyse research data, using appropriate engineering analysis tools to tackle unfamiliar problems, such as those with uncertain or incomplete data or specifications, by the appropriate innovation, use or adaptation of engineering analytical methods.

Teaching/Learning Methods and Strategies

Case study readings, lectures, seminars, and case study/practical sessions on data collection and use of analysis methods in energy systems, computer-aided engineering, and manufacturing technology to collect and analyse data and unfamiliar problems.

Methods of Assessment

Case study/practical assignment deliverables discussing and using methods in energy systems, computer-aided engineering, and manufacturing technology to collect and analyse data and unfamiliar problems.

Learning Outcomes: Knowledge & Understanding

On the completion of this course successful students will be able to:

SM7M: Demonstrate a comprehensive understanding of the scientific principles of the specialisation.

Teaching/Learning Methods and Strategies

Online content, case study readings, lectures, seminars, and case study/practical sessions on the scientific principles in energy systems, computer-aided engineering, and manufacturing technology.

Methods of Assessment

Formative assessments, case study/practical assignment deliverables discussing and applying the scientific principles in energy systems, computer-aided engineering, and manufacturing technology.

SM8M: Identify and assess current scientific problems and/or new insights at the forefront of the specialisation.

Teaching/Learning Methods and Strategies

Case study readings, lectures, seminars, and case study/practical sessions on the current problems/insights in energy systems, computer-aided engineering, and manufacturing technology.

Methods of Assessment

Case study/practical assignment deliverables discussing and applying the current problems/insights in energy systems, computer-aided engineering, and manufacturing technology.

SM9M: Critically evaluate fundamental mathematics and science concepts relevant to the discipline, and some from outside the discipline, and apply them effectively in engineering projects.

Teaching/Learning Methods and Strategies

Online content, case study readings, lectures, seminars, and case study/practical sessions on relevant concepts and their critical use in energy systems, computer-aided engineering, and manufacturing technology.

Methods of Assessment

Formative assessments, case study/practical assignment deliverables discussing and applying relevant concepts for use in energy systems, computer-aided engineering, and manufacturing technology.

D9M: Analyse and interpret information that may be incomplete or uncertain, quantify the effect of this on design of products, processes, or systems and, where appropriate, use theory or experimental research to mitigate deficiencies.

Teaching/Learning Methods and Strategies

Case study readings, lectures, seminars, and case study/practical sessions on knowledge and skills in energy systems, computer-aided engineering, and manufacturing technology to quantify the effect of uncertainty on the design of products, processes, or systems.

Methods of Assessment

Case study/practical assignment deliverables and group reports discussing and using knowledge in energy systems, computer-aided engineering, and manufacturing technology to quantify the effect of uncertainty on the design of products, processes, or systems.

D10M: Demonstrate a comprehensive understanding of design processes and methodologies, and apply and adapt them in unfamiliar situations.

Teaching/Learning Methods and Strategies

Case study readings, lectures, seminars, and case study/practical sessions on use of processes and methods in computer-aided engineering and manufacturing technology to design products, processes, or systems.

Methods of Assessment

Case study assignment deliverables discussing and using processes and methods in computer-aided engineering and manufacturing technology to design products, processes, or systems.

EL10M: Evaluate engineering business practices, their limitations, and explain how these may be applied in the context of the particular specialization.

Teaching/Learning Methods and Strategies

Case study readings, lectures, seminars, and case study/practical sessions on management and business practices in engineering management and business and enterprise.

Methods of Assessment

Case study/practical assignment deliverables and group reports discussing and applying management and business practices in engineering management and business and enterprise.

P12M: Demonstrate advanced level knowledge and understanding of a wide range of engineering materials and components.

Teaching/Learning Methods and Strategies

Case study readings, lectures, seminars, and case study/practical sessions on materials and components in computer-aided engineering and manufacturing technology.

Methods of Assessment

Case study assignment deliverables discussing and using knowledge of materials and components in computer-aided engineering and manufacturing technology.

P9M: Review current engineering practice and their limitations, and demonstrate appreciation of likely new developments.

Teaching/Learning Methods and Strategies

Case study readings, lectures, seminars, and case study/practical sessions on current practice and new developments in energy systems, computer-aided engineering, and manufacturing technology.

Methods of Assessment

Case study/practical assignment deliverables discussing and applying current practice and new developments in energy systems, computer-aided engineering, and manufacturing technology.

Learning Outcomes: Subject Specific

On the completion of this course successful students will be able to:

D11M: Design innovative products, components or processes to fulfil new needs.

Teaching/Learning Methods and Strategies

Case study readings, lectures, seminars, and case study/practical sessions on design in computer-aided engineering and manufacturing technology.

Methods of Assessment

Case study/practical assignment deliverables generating design in computer-aided engineering and manufacturing technology to design products, processes, or systems.

EL8M: Discuss the need for a high level of professional and ethical conduct in engineering.

Teaching/Learning Methods and Strategies

Case study readings, lectures, seminars, and case study sessions on professional and ethical conduct in business and entrepreneurship, and research and data analytics.

Methods of Assessment

Case study assignment deliverables discussing professional and ethical conduct in business and entrepreneurship, and research and data analytics.

EL9M: Discuss how engineers need to take account of the commercial and social contexts in which they operate.

Teaching/Learning Methods and Strategies

Case study readings, lectures, seminars, and case study assignments including the commercial and/or social context relevant to energy systems, and manufacturing technology.

Methods of Assessment

Case study assignment deliverables and group reports discussing the commercial and/or social context relevant to energy systems, and manufacturing technology.

EL11M: Apply quantitative techniques to promote sustainable development within engineering activities.

Teaching/Learning Methods and Strategies

Case study readings, lectures, seminars, and case study/practical sessions on sustainable development and techniques in energy systems, and manufacturing technology.

Methods of Assessment

Case study/practical assignment deliverables discussing sustainability and applying techniques in energy systems, and manufacturing technology.

EL12M: Describe relevant regulatory requirements governing engineering activities in the context of the particular specialization.

Teaching/Learning Methods and Strategies

Case study readings, lectures, seminars, and case study assignments on regulatory requirements in energy systems.

Methods of Assessment

Case study assignment deliverables discussing regulatory requirements in energy systems.

EL13M: Evaluate risk issues in the context of the particular specialisation, including health & safety, environmental and commercial risk.

Teaching/Learning Methods and Strategies

Case study readings, lectures, seminars, and case study/practical sessions on evaluation of risk issues in engineering management business and enterprise, and individual project.

Methods of Assessment

Case study/practical assignment deliverables and group reports discussing and evaluating risk issues in engineering management, business and entrepreneurship, and individual project.

P10m: Apply engineering techniques to take account of a range of commercial and industrial constraints.

Teaching/Learning Methods and Strategies

Case study readings, lectures, seminars, and case study assignments on commercial and industrial constraints in energy systems and manufacturing technology.

Methods of Assessment

Case study assignment deliverables discussing commercial and industrial constraints in energy systems energy systems and manufacturing technology.

P11m: Compare different roles within an engineering team and exercise initiative and personal responsibility, which may be as a team member or leader.

Teaching/Learning Methods and Strategies

Case study/practical sessions requiring teams consisting of different roles computer-aided engineering and manufacturing technology.

Methods of Assessment

Case study/practical deliverables and group reports requiring team work in computer-aided engineering and manufacturing technology.

Learning Outcomes: Transferable Skills

On the completion of this course successful students will be able to:

G1: Solve problems

Teaching/Learning Methods and Strategies

Application of materials from lectures and seminars to case study/practical assignments in all modules.

Methods of Assessment

Case study/practical assignment deliverables in all modules.

G1: Communicate effectively

Teaching/Learning Methods and Strategies

Practical sessions in groups/teams in computer-aided engineering and manufacturing technology.

Methods of Assessment

Group reports and practical assignment deliverables in computer-aided engineering and manufacturing technology.

G1: Retrieve information

Teaching/Learning Methods and Strategies

Case study readings and sessions requiring information extraction in all modules.

Methods of Assessment

Case study assignment deliverables in all modules.

G1: Work with others

Teaching/Learning Methods and Strategies

Case study/practical sessions requiring work in groups/teams in computer-aided engineering and manufacturing technology.

Methods of Assessment

Group reports and practical assignment deliverables in computer-aided engineering and manufacturing technology.

G1: Effectively use general IT facilities

Teaching/Learning Methods and Strategies

Online material access in all modules

Case study readings, lectures, seminars, and case study assignments on computer-based tools and resources in computer-aided engineering and manufacturing technology.

Methods of Assessment

Case study assignment deliverables in all modules.

G2: Plan self-learning and improve performance, as the foundation for lifelong learning/CPD

Teaching/Learning Methods and Strategies

Reflection on learning and documentation of CPD via portfolios of assignment deliverables in all modules.

Methods of Assessment

Case study assignment deliverables in all modules.

G3m: Monitor and adjust a personal programme of work on an on-going basis

Teaching/Learning Methods and Strategies

Use of non-contact teaching methods, and independent work on assignments in all modules.

Methods of Assessment

Group reports and/or case study/practical assignment deliverables in all modules.

G4: Exercise initiative and personal responsibility, which may be as a team member or leader

Teaching/Learning Methods and Strategies

Case study/practical sessions requiring work in groups/teams in computer-aided engineering and manufacturing technology.

Methods of Assessment

Group reports and practical assignment deliverables in computer-aided engineering and manufacturing technology.

Module Information

Stages and Modules

Module Title Module Code Level/ stage Credits

Availability

Duration Pre-requisite

Assessment

S1 S2 Core Option Coursework % Practical % Examination %
Sustainable Energy Systems MEE7029 7 20 YES -- 12 weeks N YES -- 100% 0% 0%
Manufacturing Technology MEE7028 7 20 -- YES 12 weeks N YES -- 80% 20% 0%
Computer-Aided Engineering MEE7027 7 20 YES -- 12 weeks N YES -- 100% 0% 0%

Notes

No notes found.