Module overview
Aims and Objectives
Learning Outcomes
Transferable and Generic Skills
Having successfully completed this module you will be able to:
- Work within a group to analyse a problem from an ethical and security perspective, and reflect on individual performance within a group.
- Communicate about ethical and security issues using written and oral presentation.
Subject Specific Intellectual and Research Skills
Having successfully completed this module you will be able to:
- Assess, audit, evaluate, critically reflect upon, and discuss, potential legal, ethical, EDI, security, risk and privacy aspects of new technology projects.
- Identify, assess and critically review appropriate and relevant literature drawn from academic, technical, legal, professional sources.
Subject Specific Practical Skills
Having successfully completed this module you will be able to:
- Gain facility in designing experiments/evaluations involving human users and applying for ethical approval.
- Choose appropriate licenses for hardware/software projects whilst considering implications of the licenses and conditions of third-party assets.
Knowledge and Understanding
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
- Understand the threshold concepts underpinning the range of key ethical, legal security and privacy issues surrounding all technology projects.
- Demonstrate knowledge and understanding of the key aspects and terminology related to legal licensing agreements, NDAs and contracts.
- Understand the core tenets of being a professional engineer or scientist, including the importance and benefits of diversity in engineering.
Syllabus
Topics in the four broad areas below will be covered by the module:
Legal:
- Professional responsibility of engineers and scientists
- Liability
- Data Protection Legislation
- Licensing & open source sw/hw
- Copyright and patents
- Contracts and NDAs
Security:
- Physical security
- Keeping hardware and software secure
- Security and Encryption of data
- Social engineering
Ethics:
- Ethical use and collection of data
- Ethics in ML and AI
- Ethical and sustainable computing (power, energy, environment)
- Ethical hacking (blackhat and whitehat)
Privacy:
- Anonymisation and de-anonymisation
- Data leaks
- Failure case studies
- Right to be forgotten
Learning and Teaching
Teaching and learning methods
The module consists of:
- Lectures, seminars and panel discussions focussing on case-studies that cross one or more of the module themes
- Guided group research work and class presentation
Part of the assessment is through practical lab activities within the AICE Lab Programme.
Type | Hours |
---|---|
Completion of assessment task | 36 |
Revision | 10 |
Lecture | 36 |
Guided independent study | 36 |
Wider reading or practice | 32 |
Total study time | 150 |
Assessment
Summative
This is how we’ll formally assess what you have learned in this module.
Method | Percentage contribution |
---|---|
Class Test | 10% |
Computing Laboratories | 7.5% |
Group Case Study | 32.5% |
Exam | 50% |
Referral
This is how we’ll assess you if you don’t meet the criteria to pass this module.
Method | Percentage contribution |
---|---|
Exam | 92.5% |
Lab Marks carried forward | 7.5% |