Module overview
This module focuses on the interfaces between technologies, algorithms, devices and systems. The core aim is to develop a conceptual understanding of the research challenges within and at the interfaces between the MINDS CDT themes. This will help to build a common language among the cohort, enabling them to work more effectively together. The module draws heavily on case studies and tutorials delivered by our partners in industry, government and the third sector.
Aims and Objectives
Learning Outcomes
Subject Specific Intellectual and Research Skills
Having successfully completed this module you will be able to:
- Formulate research questions in hardware-enabled AI
Knowledge and Understanding
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
- Task-optimised devices and systems
- Agent-based adaptive systems and performance guarantees
- Nano-electronic technologies for AI algorithms
- Embedded AI algorithmic techniques
Syllabus
Interdisciplinary research practice
Challenges in embedded artificial intelligence
Challenges in nano-electronic technologies for artificial intelligence
Challenges in agent-based adaptive systems
Challenges in task-optimised devices and systems
Use cases from industry, government and third sector partners
Learning and Teaching
Teaching and learning methods
The module will focus on case-studies. Due to the innovative nature of the topics covered in the course, there are no textbooks available, and so examination of emerging examples from research and development projects are the best source of material. In this way, students will be challenged to think about the challenges that lie at the R&D interface between electronics and AI. We will include a number of invited speakers from industry through the module.
| Type | Hours |
|---|---|
| Lecture | 24 |
| Wider reading or practice | 38 |
| Preparation for scheduled sessions | 12 |
| Follow-up work | 12 |
| Completion of assessment task | 64 |
| Total study time | 150 |
Assessment
Assessment strategy
Summative assessment: 1.An approximately 5,000 word individual report outlining in detail a research question aligned to one or more of the MINDS CDT research themes with associated references to existing literature – 70%. 2.Presentation of their research question to the cohort and examiner – 30%.Summative
This is how we’ll formally assess what you have learned in this module.
| Method | Percentage contribution |
|---|---|
| Continuous Assessment | 30% |
| Continuous Assessment | 70% |
Referral
This is how we’ll assess you if you don’t meet the criteria to pass this module.
| Method | Percentage contribution |
|---|---|
| Set Task | 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 |
|---|---|
| Set Task | 100% |
Repeat Information
Repeat type: Internal & External