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for a past academic year. Please see the current academic year for up to date information.
| Unit name |
Interactive AI Team Project |
| Unit code |
COMSM0087 |
| Credit points |
40 |
| Level of study |
M/7
|
| Teaching block(s) |
Teaching Block 4 (weeks 1-24)
|
| Unit director |
Professor. Peter Flach |
| Open unit status |
Not open |
| Pre-requisites |
None
|
| Co-requisites |
- COMSM0022 Computational Logic for AI,
- COMSM0023 Dialogue and Narrative,
- COMSM0025 Machine Learning Paradigms,
- EMATM1120 Uncertainty Modelling
|
| School/department |
School of Computer Science |
| Faculty |
Faculty of Engineering |
Description including Unit Aims
The aim of this unit is to provide students with practical experience in applying user-centred, theory-informed and evidence-based design and implementation methodologies to a real-world interactive AI challenge. The work will be done in teams of 3-5 students.
Unit content:
- Software engineering methods and tools for interactive AI pipelines
- Approaches to participatory and user-centred design
- Development of low and medium fidelity prototypes
- Approaches to evaluating interactive AI applications
Intended Learning Outcomes
- Critically engage in real-world challenges for interactive AI.
- Demonstrate an ability to plan and deliver a design-led solution based on the needs of users.
- Demonstrate an expert understanding of user-centred approaches towards evaluating, designing and implementing interactive AI technologies.
- Demonstrate a wide range of design and software engineering skills including using modern frameworks for developing and deploying AI pipelines.
- Demonstrate the ability to present academic interaction design and AI research in the format of a conference publication and a presentation.
- Critically engage with the design of data collection, prototyping, and evaluation for a design research project of a publishable level.
- Demonstrate the ability to critically engage in academic literature and conduct academic peer reviews.
Teaching Information
Teaching will be delivered through a series of mostly synchronous sessions, including lectures, seminars, practical activities, discussion groups, team work and self-directed exercises.
Assessment Information
1 Summative Assessment, 100% - Coursework. This will assess all ILOs.
Reading and References
Textbook for TB2: Preece, Jenny, Yvonne Rogers, and Helen Sharp. Interaction design: beyond human-computer interaction. John Wiley & Sons, 2015
Further readings will be given via Blackboard.
