Unit information: Artificial Intelligence Individual Project in 2037/38

Please note: Programme and unit information may change as the relevant academic field develops. We may also make changes to the structure of programmes and assessments to improve the student experience, occasionally this includes not running units if they are not viable.

Unit name Artificial Intelligence Individual Project
Unit code SEMTM0049
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

Unit Information

Why is this unit important?

The Artificial Intelligence Individual 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 develop a research-based project. This unit is designed to allow students to refine their knowledge and skills by working on a research topic proposed by one of the academics in the MSc AI teaching team, which may also involve external collaborators. This unit will provide you with the opportunity to work with leading experts in one or more areas of artificial intelligence, and to apply the AI methods and analytical thinking learned throughout the taught units to tackle complex research-inspired problems.

How does this unit fit into your programme of study

The Artificial Intelligence Individual 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 a team project), allowing you to synthesise and apply your learning in a comprehensive and impactful way.

Your learning on this unit

An overview of content

You will be required to complete a substantial project, conducted on a research or implementation topic suggested by you or selected from a list from a selection proposed by project supervisors.

How will students, personally, be different as a result of the unit

Upon completing this project unit, you will be confident in planning projects, managing time, working independently, and overcoming challenges. You will also be skilled in presenting technical findings in written, visual, and verbal form, and defending their work. These skills are in great demand by both industry and academia.

Learning outcomes

On successful completion of this unit, you will be able to:

  1. Work independently on an AI-based research project for which you have clearly defined the objectives and rationale.
  2. Identify methodologically appropriate and ethical approaches towards addressing project aims and objectives.
  3. Analyse the requirements for a data science application to address a problem and apply domain knowledge to create a suitable solution.
  4. Critically evaluate and effectively communicate their findings in terms of their motivation, methodology, results and in relation to existing work (both in written, visual, and oral forms).

How you will learn

This capstone project unit is intended to promote self-directed learning and inquiry, under guidance of an academic supervisor. You will have a dedicated project supervisor who will offer project guidance and support. You are expected to meet regularly (at least fortnightly) with your supervisor and you will receive guidance and formative feedback throughout the duration of this unit.

How you will be assessed

Tasks which help you learn and prepare you for summative tasks (formative): 

You will be assigned an academic supervisor at the start of your project unit. The first task is to prepare a project plan that includes motivation for your project (i.e., why is the work interesting/useful?), suggested methodology (i.e., why is your technical approach sensible / likely to succeed?), and a timeline of work, including deliverables, decision points, and risk mitigation. You will submit your project plan within the first month of beginning your project. Your project plan will be formatively assessed by your supervisor and a second independent marker who will both provide written feedback on your plan. (ILOs 1 and 2)

Tasks which count towards your unit mark (summative):  

Your project will be assessed as follows:

Project presentation and Q&A (20%). (ILOs 1 and 4)

Dissertation report (80%). You will submit a report detailing the context of the problem you worked on, the relevant literature, methodology, results and conclusions, following a template that will be provided at the start of the project. (ILOs 1-4)

The dissertation report is a must-pass component. Therefore, to pass the project unit, you must receive a pass mark in the dissertation and also a weighted-average pass mark overall.

When assessment does not go to plan: 

 When required by the Board of Examiners, you will normally complete reassessments in the same formats as those outlined above. However, the Board may modify the form or number of reassessments required. Details of reassessments are normally confirmed by the School shortly after the notification of your results at the end of the academic year.

Resources

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. SEMTM0049).

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.