ME52078: Professional and research skills for engineering and design
[Page last updated: 16 August 2024]
| Academic Year: | 2024/25 |
| Owning Department/School: | Department of Mechanical Engineering |
| Credits: | 10 [equivalent to 20 CATS credits] |
| Notional Study Hours: | 200 |
| Level: | Masters UG & PG (FHEQ level 7) |
| Period: |
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| Assessment Summary: | CWPF 40%, CWRI 60% |
| Assessment Detail: |
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| Supplementary Assessment: |
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| Requisites: | |
| Learning Outcomes: |
Critically analyse ethical challenges arising from application of AI / ML to engineering research and practice. Demonstrate teamwork competencies such as reflection, negotiation and persuasion and evaluate the effectiveness of own and team performance. Develop and promote a research proposal based on available facilities Evaluate potential security vulnerabilities and risks associated with data collection, storage and processing use within AI and ML systems. Interpret and evaluate information from a range of disciplines including consideration of ethics, law, and security, in the context of AI and ML. Select and critically evaluate technical information from various sources relevant to a pre-chosen research project. |
| Synopsis: | Learn how to address the ethical dilemmas that come with integrating AI/ML in engineering practice and research such as those relating to data protection, cybersecurity, and regulatory frameworks. You'll further develop professional skills to help your employability such as career planning, commercial awareness, leadership, and effective communication. Working with an academic will help you develop your research proposal for dissertation. |
| Aims: | Learn to address ethical quandaries arising from the integration of AI / ML in engineering practice and research in the context of data protection, cybersecurity and regulatory frameworks. Further your professional skills in areas such as employability, commercial awareness and continuing professional development. Working with an academic you will have the opportunity to develop your own research proposal for your dissertation. |
| Skills: | AI / ML professional skills: ethical implications arising from ML/AI applications, data security, protection and privacy, regulatory and policy frameworks.
Professional practice: the work environment, commercial awareness, CV & interview readiness, cultural diversity & leadership, effective communication, collaboration & teamwork, time management. Academic writing: planning and structuring texts, critical and effective use of sources, reflective skills development, peer review. Research Skills ethics in research, developing a research hypothesis / question, conducting a literature survey and writing a literature survey, devising a research proposal. |
| Content: | AI / ML professional skills: ethical implications arising from AI/ML applications, data security, protection and privacy, regulatory and policy frameworks.
Professional practice: the work environment, commercial awareness, career choice and planning, recruitment readiness, cultural diversity and leadership, effective communication, collaboration and teamwork, and time management in career choice and planning. Academic writing: planning and structuring texts, critical and effective use of sources, reflective skills development, peer review. Research Skills: Ethics in research, developing a research hypothesis/question, conducting and writing a literature survey, and devising a research proposal. |
| Course availability: |
ME52078 is a Must Pass Unit on the following courses:Department of Electronic & Electrical Engineering
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