EE52037: Research project
[Page last updated: 16 August 2024]
Academic Year: | 2024/25 |
Owning Department/School: | Department of Electronic & Electrical Engineering |
Credits: | 30 [equivalent to 60 CATS credits] |
Notional Study Hours: | 600 |
Level: | Masters UG & PG (FHEQ level 7) |
Period: |
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Assessment Summary: | CWDI 80%, CWOI 20% |
Assessment Detail: |
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Supplementary Assessment: |
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Requisites: | |
Learning Outcomes: |
Consider and take appropriate action for economic, ethical and sustainable issues which may impact on your project outcomes. Develop evidence-based conclusions and recommendations. Effectively communicate the outcomes to a range of audiences. Implement and critically evaluate novel research in the context of existing literature. Select and critically evaluate technical literature and other sources of information to solve a complex research problem. Select appropriate methodology, justifying and evaluating chosen methods. |
Synopsis: | Identify, explore, and interpret aspects at the forefront of AI/ML applications through a research project. With guidance from an academic supervisor, you'll design and manage a project focused on an area of your choice. You'll use skills and knowledge developed so far on the course to disseminate your research outcomes to a range of audiences. |
Aims: | Your research project will act as platform for you to identify, explore and interpret aspects at the forefront of AI / ML applications and implement a programme of research. Under the guidance of an academic supervisor, you will design and manage your own project using skills and knowledge developed during the course and disseminate your research outcomes to a range of audiences. |
Skills: | Plan, implement and communicate an independent research project. |
Content: | Under the guidance of an academic supervisor, you will undertake a research project focused on an issue of your choice.
You will define and investigate the issue to propose evidence-based conclusions and recommendations. External organisations may also be involved with research projects. Choices will be informed by your personal interests, the fulfilment of the aims of the unit, the availability of expert supervision, and the accessibility of relevant material. |
Course availability: |
EE52037 is a Must Pass Unit on the following courses:Department of Electronic & Electrical Engineering
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