- Module code: ES97N
- Module name: Project
- Department: School of Engineering
- Credit: 60
Module content and teaching
To demonstrate that the student has independently contributed primary data and/or a new analysis of secondary data, within their chosen advanced research topic. Projects will be highly variable in nature to reflect the range of topics within the programmes of study but all will provide students with an opportunity to achieve the learning outcomes. Thus, projects may entail experimentation, modelling, analysis and literary survey skills to develop advanced skills in the discovery and occasionally creation of new knowledge. The module also offers the chance for students to pursue curiosity driven work guided by an academic supervisor.
Principal learning outcomes
By the end of the module the student should be able to.... 1. Display enhanced knowledge and understanding of scientific principles of the engineering topic of their individual project. 2. Apply advanced engineering knowledge to problems in an efficient and effective manner. 3. Exhibit critical awareness of the state of the art and current developments in the field of the project. 4. Design and plan a project defining aims and objectives, timescales, requirements, constraints and commercial & environmental context as appropriate. 5. Evaluate risk issues including general project risks, time, uncertainty, information, data, ethical, intellectual property rights, codes of practice and standards and create a project plan which demonstrates appropriate risk management. 6. Apply and integrate knowledge and principles from a range of disciplines as appropriate to analyse and solve a problem. 7. Comprehensively analyse and assess results and communicate feasibility of implementation to technical and non-technical audiences. 8. Demonstrate experience of conducting and reporting on a piece of ‘original’ individual research or ‘innovative’ design work. 9. Exhibit experience and evidence of enhancement in some or all of the following research methodology dependent discipline-specific practical skills: Use of appropriate engineering analysis, software and IT tools Design and implementation of appropriate and safe laboratory experiments Safe testing of design ideas in a research laboratory.