Module overview
This module builds upon the technical content of the other first year modules and develops skills needed for the professional application of Robotic Engineering principles. The ability to solve new challenges through innovation and through application of scientific methods and technical analysis is the heart of Robotic Engineering. Future Robotic 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 Robotic 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 Robotic 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:
- Group work reflecting on team roles and diversity forms a specific 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
- 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
- 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.
- 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
- 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)
- 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
- 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
- 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
- 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
- Presentation skills are assessed in small groups as part of the coursework portfolio, focusing first on presenting a historical/amusing debunked theory and then later on presenting a complex messy data-set
- 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
- 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.
- Materials assessments are linked to a system design question in the extended case study assessed at the end of the module.
Subject Specific Intellectual and Research Skills
Having successfully completed this module you will be able to:
- Analyse engineering challenges and devise engineering objectives in a way that facilitates innovation;
- Obtain knowledge from primary scientific literature.
- Develop simplified mathematical models in order to analyse real robotic 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;
- Critically assess the use of analytical and computational models, explaining relevant uncertainties in the modelling;
Subject Specific Practical Skills
Having successfully completed this module you will be able to:
- Conduct analysis spanning more than one engineering subject area in order to support design and investment decisions;
- Identify ways to analyse complex robotic systems in the real world, considering aspects of system dynamics, structure, materials, energy, electrical and electronic sub-systems, and the economic, ethical and environmental context.
Knowledge and Understanding
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
- The roles and responsibilities of professional Robotics Engineers, including identification and discussion of ethical issues arising in case studies;
- Entrepreneurship, innovation and the knowledge economy.
Transferable and Generic Skills
Having successfully completed this module you will be able to:
- 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;
- Identify ways to enhance the success of teams in decision making and problem solving;
Syllabus
Semester 1
• Introduction to the module
• Assignment introduction
• Future perspectives in Robotic Engineering
• Communication skills: writing and presentations
• Data analysis and modelling
• Personal development planning
• Ethics in Robotics
• 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 structures, dynamics, materials, electrical, thermo-fluids, computation and design.
• Case studies cover topics in robotic system design and key application areas
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 the analysis of robotic systems.
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 |
|---|---|
| Wider reading or practice | 20 |
| Tutorial | 10 |
| Preparation for scheduled sessions | 24 |
| Lecture | 36 |
| Completion of assessment task | 24 |
| Revision | 22 |
| Seminar | 14 |
| Total study time | 150 |
Assessment
Summative
This is how we’ll formally assess what you have learned in this module.
| Method | Percentage contribution |
|---|---|
| Coursework portfolio | 100% |
Referral
This is how we’ll assess you if you don’t meet the criteria to pass this module.
| Method | Percentage contribution |
|---|---|
| Coursework portfolio | 100% |
Repeat
An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.
| Method | Percentage contribution |
|---|---|
| Coursework portfolio | 100% |