Module overview
This module builds upon the technical content of the other first year modules and develops skills needed for the professional application of Mechanical Engineering. The ability to solve new challenges through innovation and through application of scientific methods and technical analysis is the heart of Mechanical Engineering. Future Mechanical Engineers will face enormously important and diverse challenges that are difficult to anticipate, and will need to be able to develop their skillset throughout their career. The first part of this module introduces the professional context of Mechanical Engineering and starts the individual process of identifying and developing relevant skills through reflective practice. The second part of this module develops skills concerning the application of engineering analysis to practical mechanical systems. In particular, the ability to frame engineering problems so that relatively simple analysis, practical insight and intuition can be used to generate innovative solutions is developed through a serious of case studies.
Aims and Objectives
Learning Outcomes
Partial CEng Programme Level Learning Outcomes
Having successfully completed this module you will be able to:
- There is a specific exercise within the coursework portfolio and a group discussion which then leads into the need for environmental considerations in the final integrated case study
- This is considered as part of the ethics in engineering case studies, where students have to write a self reflection as part of the coursework portfolio
- Formative coursework activity identifying a relevant technical paper in a sustainability topic, and critically reviewing this is combined with a presentation on scientific hypothesis testing in PAT groups with verbal feedback as part of the coursework portfolio
- The coursework portfolio incorporates an individual reflection on a specific engineering ethics case study that is discussed in a small group
- Presentation skills are assessed in small groups as part of the coursework portfolio, focussing first on presenting a historical/amusing debunked theory and then later on presenting a complex messy data-set
- Reflection on small group work and one’s role within the team forms part of the personal development planning reflection which is part of the coursework portfolio
- Materials assessments are linked to a system design question in the extended case study assessed at the end of the module
- Reflection on personal development planning reflection is part of the coursework portfolio, and a draft CV, discussed with the PAT forms part of this assessment
- Computing lab classes require the students to select and apply appropriate computational analyses and to compare these to analytical approaches whilst recognising the limitations of both approaches
- Applying knowledge of mathematics, mechanics, materials and structures, thermofluids, electronics and electrical systems principles (taught in other Part 1 modules) to the integrated case study coursework at the end of the module
- The case study coursework presents a complex problem that needs careful analysis using first principles of mathematics, mechanics, materials and structures, thermofluids, electronics and electrical systems principles (taught in other Part 1 modules)
- Group work reflecting on team roles and diversity forms a specific part of the coursework portfolio
- The summative case study coursework at the end of the module combines specific sub-system assessments on mechatronics, economics, structures, materials and requires a final assessment integrating these issues
- The solution neutral design approach is assessed in our summative case study coursework at the end of the module and also features specific sub-system assessments on mechatronics, economics, structures, materials etc so partially fulfils C5
Subject Specific Intellectual and Research Skills
Having successfully completed this module you will be able to:
- Critically assess the use of analytical and computational models, explaining relevant uncertainties in the modelling;
- Obtain knowledge from primary scientific literature.
- Analyse engineering challenges and devise engineering objectives in a way that facilitates innovation;
- Develop simplified mathematical models in order to analyse real mechanical systems, justifying approximations and acknowledging their limitations;
- Devise and plan experiments and laboratory tests in support of achieving an engineering objective, including the use of dimensional analysis to relate laboratory tests to practical systems;
Knowledge and Understanding
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
- Entrepreneurship, innovation and the knowledge economy.
- The roles and responsibilities of professional Mechanical Engineers, including identification and discussion of ethical issues arising in case studies;
Subject Specific Practical Skills
Having successfully completed this module you will be able to:
- Identify ways to analyse complex mechanical systems in the real world, considering aspects of system dynamics, structure, materials, fluid flow, energy, electrical and electronic sub-systems, and the economic and environmental context.
- Conduct analysis spanning more than one engineering subject area in order to support design and investment decisions;
Transferable and Generic Skills
Having successfully completed this module you will be able to:
- Identify ways to enhance the success of teams in decision making and problem solving;
- Deliver technical presentations tailored to your audience, using appropriate presentation aides;
- Analyse your own skillset and the competencies you will need, then identify and pursue opportunities for professional development;
Syllabus
Semester 1
- Introduction to the module
- Assignment introduction
- Future perspectives in Mechanical Engineering
- Communication skills: writing and presentations
- Data analysis and modelling
- Personal development planning
- Ethics in Engineering
- Creativity and entrepreneurial behaviour
- Personal development planning
- The Knowledge economy
- Thinking like an Engineer: estimates, assumptions, and graphing guidelines.
Semester 2
- Analytical approaches:
- Analysis of complex real-world systems
- Techno-economic evaluation
- Literature review
- Experimental design
- Mathematical modelling, assumptions and model reduction
- Computational modelling, model verification, model validation
- Application of fundamental aspects of thermo-fluids, structures, materials, dynamics, electrical, computation and design.
- Case studies, including:
- Aircraft structural design
- Offshore energy systems
Learning and Teaching
Teaching and learning methods
Teaching methods include:
The core material in the module is taught through lectures, tutorials and small group discussions. The lecture material is also supported through problem-based learning. Students will participate in formative individual and group-work activities that will develop a range of skills necessary for a Professional Engineer and explore the relevance of navigating scientific literature to arrive at educated engineering judgements for mechanical systems analysis.
Semester 1 and 2 – Individual assignments via small group discussion and presentation:
- Critically evaluate your professional skills, practice and development;
- Discuss/reflect on what general principles regarding being a professional engineer might be derived from your experiences in taking part in this module and how you might apply these principles later in your career;
- Discuss/reflect on whether and how your experience of taking part in this module has influenced your assumptions on the meaning of being a professional engineer and the implications this might have for your own future practice and development.
Learning Activities
- Lectures
- Timetabled tutorial slots in Semester 1 and 2
- Problem-based learning
- Tutorials
- Computing classes
- Group based case study analysis
- Giving presentations
- Interactive classroom work
- Private research and study
Type | Hours |
---|---|
Revision | 22 |
Lecture | 36 |
Completion of assessment task | 24 |
Preparation for scheduled sessions | 24 |
Tutorial | 10 |
Wider reading or practice | 20 |
Seminar | 14 |
Total study time | 150 |
Assessment
Assessment strategy
Summative assessment is by completion of a coursework portfolio, including reflective practice for personal development planning, technical communications, and a series of case study problems
Feedback will be available on formative work undertaken during the module.
Summative
This is how we’ll formally assess what you have learned in this module.
Method | Percentage contribution |
---|---|
Coursework portfolio | 100% |