University of Malta

Study-Unit Description
UOM Main Page
Apply - Admissions 2016
Campus Map button


TITLE Final Year Project in Artificial Intelligence

LEVEL 03 - Years 2, 3, 4 in Modular Undergraduate Course


DEPARTMENT Faculty of Information & Communication Technology

DESCRIPTION The final-year project in Artificial Intelligence is the largest single piece of work assigned to students throughout their degree. It is intended both to consolidate the skills gained throughout the Artificial Intelligence degree programme as well as prepare students to undertake and participate in projects upon graduation. Thus, the aims as well as the criteria of assessment of the final-year project are rather wide-ranging.

The assessable parts of this study-unit are as follows:

- A Review Report, in the form of a 6-page scientific paper, whose aim is to demonstrate the skills of the student in condensing the salient and relevant parts of his/her effort in the form of a review, highlighting the road-map of the scientific method that was adopted in tackling the issues that were exposed through the student’s background research, (including the background research itself), work carried out, results obtained, and conclusions drawn. This can also serve as a summary of the student’s work, as well as to guide the assessment process of the external examiner.

- A written dissertation in the form of a report detailing the context, effort, reasoning and conclusions of the student’s academic endeavour. The specific qualities expected in this dissertation are summarized below:
• Originality: to conceive of and develop original ideas and designs;
• Research methods: to use sound scientific methods of research;
• Problem-solving skills: to solve problems in a structured and rational manner;
• Achievement: to produce complete and correctly functioning artefacts;
• Management;
• To work on one’s own initiative, subject to a minimum of one (1) communication per month between student and supervisor;
• To keep to deadlines;
• To adequately plan project work;
• To coordinate with third parties (including artefacts developed by such);
• Communications Skills;
• To produce adequate user documentation relating to the artefact produced;
• To identify and explain the relevant concepts clearly;
• To report comprehensively on the work produced.

The dissertation’s length should be approximately 35 pages. It must not exceed 40 pages excluding appendices. Students will be given guidelines about formatting, style and citation standards.

A poster presentation highlighting the effective and prominent elements of the student’s overall effort. In this This presentation, should also include a live demo of the developed artefact (if applicable), and a 5-minute video clip that demonstrates the student’s work. In this presentation the student should demonstrate skills at verbally communicating his/her ideas and reasoning, as well as skills in the preparation and use of suitable presentation techniques and material. The dimensions of the poster are specified in the FYP Guidelines, issued by the Faculty of ICT.

This study-unit also requires the production of a progress report (to be submitted according to established departmental procedures).

Students will either select a Final Year Project proposal (in which the problem to be solved will be described at a high level of abstraction) from among those offered by the Department or the student may offer their own proposal. Students will be allocated a supervisor and optionally a co-supervisor according to departmental procedures. Depending on the nature of the research to be undertaken, the co-supervisor may be appointed from another department in the Faculty of ICT, or from another Faculty/Institute/Centre at the University.

Seven hours of lectures will be given at the beginning of the first semester to provide guidance for conducting research, report writing, avoiding common pit-falls, and presentation skills.

Study-unit Aims:

To develop skills in independent critical thinking, scientific research, investigation and analysis, and scientific report writing and oral communication.

Learning Outcomes:

1. Knowledge & Understanding:
By the end of the study-unit the student will be able to:

- Analyse a problem and identify the AI techniques to solve it;
- Describe how the proposed solution is related to relevant literature;
- Explain how the AI techniques analysed will solve the problem;
- Explain how the solution should be evaluated;
- Explain the results obtained following the evaluation;
- Describe the process of problem analysis, solution design and implementation, evaluation, and analysis of results in a written report and presentation.

These learning outcomes are similar to those for the Group Assigned Practical Task. However, in this study-unit students are expected to demonstrate a high degree of independent work, maturity, and autonomy.

2. Skills:
By the end of the study-unit the student will be able to:

- Independently investigate existing approaches to solving the problem described in the FYP proposal;
- Critically review relevant literature;
- Design and implement a solution using appropriate AI techniques for the problem described in the FYP proposal;
- Measure the solution's accuracy using an appropriate evaluation;
- Write a scientific project report in an appropriate style;
- Organise the work to be carried out by to complete the FYP on time;
- Summarize his/her work in a short review report written in the style of a scientific paper;
- Demonstrate his/her ability to identify the significant aspects of their work and clearly communicate them orally through a 5 minute poster presentation.

Main Text/s and any supplementary readings:

Each FYP proposal will have an initial reading list.

ADDITIONAL NOTES **Resit Availability: Students who fail to obtain an overall pass mark will be re-examined in the Dissertation. However, the resit availability for the Presentation and Oral Examination is at the discretion of the Board of Examiners.

STUDY-UNIT TYPE Lecture and Dissertation

Assessment Component/s Resit Availability Weighting
Review Paper Yes 10%
Dissertation, Presentation & Oral Examination (See Add. Notes) ** 90%

LECTURER/S Christopher D. Staff

The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints.
Units not attracting a sufficient number of registrations may be withdrawn without notice.
It should be noted that all the information in the study-unit description above applies to the academic year 2017/8, if study-unit is available during this academic year, and may be subject to change in subsequent years.
Study-unit Registration Forms 2017/8


For Undergraduate (Day) and Postgraduate students.


Faculty of ICT Timetables


ICT Timetables are available from Here.

Health and Safety Regulations for Laboratories Form

The Faculty of ICT Health and Safety Regulations for Laboratories form can be found here


13th Edition of EY’s Annual Attractiveness Event




The 13th Edition of EY’s Annual Attractiveness event will be held on 25th October 2017 at the InterContinental Hotel,

St. Julians. It is titled "Thinking without the box: disruption, technology and FDI".


The  students' invitation and more information can be found here

The conference programme can be found here



Log In back to UoM Homepage