| Unit name | Artificial Intelligence Team Project |
|---|---|
| Unit code | SEMTM0050 |
| Credit points | 60 |
| Level of study | M/7 |
| Teaching block(s) |
Academic Year (weeks 1 - 52) |
| Unit director | Dr. Campelo |
| Open unit status | Not open |
| Units you must take before you take this one (pre-requisite units) |
None |
| Units you must take alongside this one (co-requisite units) |
None |
| Units you may not take alongside this one |
None |
| School/department | School of Engineering Mathematics and Technology |
| Faculty | Faculty of Science and Engineering |
Why is this unit important?
The Artificial Intelligence Team Project unit is one of two options for the capstone of the MSc in Artificial Intelligence. This unit will enable you to showcase your competencies as an AI specialist who can work effectively in a team on a real problem. It is designed to bridge the gap between academic learning and real-world application. By collaborating with stakeholders who may be based in industry, academia, or other sectors, you will engage with real world challenges and solve problems that require data-driven, AI-enabled solutions. You will have the opportunity to apply the AI methods and analytical thinking learned throughout the taught units to solve complex problems presented by the stakeholders. The hands-on experience of working on real-world projects will not only enhance your technical and analytical skills but also develop your ability to work collaboratively, think critically, and communicate effectively in a professional setting.
How does this unit fit into your programme of study
The Artificial Intelligence Team Project is the culmination of the MSc in Artificial Intelligence, integrating the diverse knowledge and skills acquired across all units. This unit is strategically positioned as an optional final capstone (the other option being an individual project), allowing you to synthesise and apply your learning in a comprehensive and impactful way.
An overview of content
You will collaborate with external partners to address real-world challenges. Guided by feedback from academic supervisors and external stakeholders, you will develop an AI-informed strategy to solve an assigned real-world problem. You will work as part of a team to deploy artificial intelligence techniques in an applied scenario, generating insights and presenting your findings in a group report and presentation. This unit emphasises practical application, teamwork, and the ability to deliver actionable business recommendations.
How will students, personally, be different as a result of the unit
Upon completing your project, you will have gained a comprehensive understanding of how to apply artificial intelligence approaches to solve a real-world problem. You will have developed the ability to work effectively in a team, manage complex projects, and communicate your findings to both technical and non-technical audiences. This experience will enhance your critical thinking, problem-solving, and professional communication skills.
Learning outcomes
On successful completion of this unit, you will be able to:
This capstone project unit is intended to promote self-directed and collaborative team-based learning and inquiry, under guidance of a problem owner and academic supervisor. You will be supported in setting up your teams and ways of working by your supervisor. Additional support, guidance, and formative feedback will be provided through a series of regular group meetings that every group member must attend. You may also get some support and feedback from the problem owners.
Tasks which help you learn and prepare you for summative tasks (formative):
All groups will receive regular formative feedback through supervisory group meetings, with regular planned reviews with industrial partners.
4 weeks into the project, each group is required to deliver a formative short presentation to a review panel in order to receive feedback on their current progress, plans and their presentation delivery. This will link to both the summative group written report and summative group presentation. At the same time, student groups can also (optionally) submit a formative written assessment consisting of the structure/skeleton planned to be used in the summative report.
Tasks which count towards your unit mark (summative):
Students within a group are all expected to contribute and engage with the group project throughout the duration of the unit. You may be given individual marks for your group assessments based on peer moderation and/or on your engagement in supervised group meetings.
Both the group written report and the individual reflective account are must-pass components. Therefore, to pass the project unit, you must receive a pass mark in these components and also a weighted-average pass mark overall.
When assessment does not go to plan:
If reassessment is required, then you will prepare an individual written report that will be assigned a weight equal to the sum of the weights of any components that you did not pass (e.g., if you passed the group presentation but did not pass the group written project or the individual reflective account, then the reassessment would be assigned a weight of 80%). The reassessment will involve working with the dataset that was originally given to your group and/or reflecting on the work done throughout the unit. For your individual reassessment, you may be asked to develop and critique your group’s original submission (including highlighting improvements that could be made to the group report) or you may be given a different task associated with the original dataset or project. The precise form of the reassessment will depend on which learning outcomes were not successfully demonstrated in your original assessments.
If this unit has a Resource List, you will normally find a link to it in the Blackboard area for the unit. Sometimes there will be a separate link for each weekly topic.
If you are unable to access a list through Blackboard, you can also find it via the Resource Lists homepage. Search for the list by the unit name or code (e.g. SEMTM0050).
How much time the unit requires
Each credit equates to 10 hours of total student input. For example a 20 credit unit will take you 200 hours
of study to complete. Your total learning time is made up of contact time, directed learning tasks,
independent learning and assessment activity.
See the University Workload statement relating to this unit for more information.
Assessment
The assessment methods listed in this unit specification are designed to enable students to demonstrate the named learning outcomes (LOs). Where a disability prevents a student from undertaking a specific method of assessment, schools will make reasonable adjustments to support a student to demonstrate the LO by an alternative method or with additional resources.
The Board of Examiners will consider all cases where students have failed or not completed the assessments required for credit.
The Board considers each student's outcomes across all the units which contribute to each year's programme of study. For appropriate assessments, if you have self-certificated your absence, you will normally be required to complete it the next time it runs (for assessments at the end of TB1 and TB2 this is usually in the next re-assessment period).
The Board of Examiners will take into account any exceptional circumstances and operates
within the Regulations and Code of Practice for Taught Programmes.
