This module focuses on AI technologies and its applications within sustainability. The core aim is to develop a conceptual understanding of the research challenges for the SustAI 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 research, case studies and tutorials delivered by academics as well as our partners in industry, government and the third sector.
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
Having successfully completed this module you will be able to:
Having successfully completed this module you will be able to:
Interdisciplinary research practice
Challenges in AI for Sustainability
Challenges in Sustainable AI
Overview of AI techniques including machine learning, data science and multi-agent systems
Use cases from academia, industry, government and third sector partners
Formulation of research questions
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 in the application of AI to sustainability. We will include a number of invited speakers from academia and industry through the module.
| Type | Hours |
|---|---|
| Lecture | 24 |
| Wider reading or practice | 38 |
| Completion of assessment task | 64 |
| Preparation for scheduled sessions | 12 |
| Follow-up work | 12 |
| Total study time | 150 |
Summative assessment:
1.An approximately 5,000 word individual report outlining in detail a research question aligned to one or more of the SustAI CDT research themes with associated references to existing literature – 70%.
2.Presentation of their research question to the cohort and examiner – 30%.
This is how we’ll formally assess what you have learned in this module.
| Method | Percentage contribution |
|---|---|
| Continuous Assessment | 30% |
| Individual assignment | 70% |
Repeat type: Internal & External