| CODE | LLT3599 | |||||||||||||||
| TITLE | Final Project in Language Technology and Artificial Intelligence | |||||||||||||||
| UM LEVEL | 03 - Years 2, 3, 4 in Modular Undergraduate Course | |||||||||||||||
| MQF LEVEL | 6 | |||||||||||||||
| ECTS CREDITS | 20 | |||||||||||||||
| DEPARTMENT | Institute of Linguistics and Language Technology | |||||||||||||||
| DESCRIPTION | The final year project allows the students to apply the skills and knowledge acquired during their studies to the fulfillment of a specific task relevant to the area of language technology and artificial intelligence. It is a substantial piece of work which tests the skills acquired by the students and prepares them to undertake projects upon graduation. The topic of the dissertation must be approved by the Board of Studies based on a short description of the goals and intended methodology, which the student must compile in cooperation with a supervisor. The assessable parts of this study-unit are as follows: 1) A Preliminary Report, in the form of a 6-page 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, defining the research questions, highlighting relevant background research, the scientific method that is being adopted, work carried out, and preliminary results obtained. 2) An oral presentation of this report to be given to other students during a seminar. 3) A written dissertation detailing the context, effort, reasoning and conclusions of the student’s completed 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 correct manner; - Achievement: to produce complete and correctly functioning artifacts (e.g. software, and datasets). The student is expected to work independently, to show own initiative and keep deadlines while interacting with his/her supervisor. The dissertation’s length should be approximately 35 pages. It must not exceed 40 pages excluding appendices. 4) The dissertation is discussed during a viva. Study-unit Aims: The unit aims for the student to work with: • applying the skills and knowledge acquired in the previous semesters to the fulfillment of a specific task relevant for LT and AI; • developing original ideas and applying them to the chosen task; • positioning the methods adopted and the results obtained against the relevant research background; • describing the work done following the requirements of scientific papers. Learning Outcomes: 1. Knowledge & Understanding By the end of the study-unit the student will be able to: • use scientific research methods applied to a specific task; • produce adequate user documentation relating to a computer program; • apply theoretical knowledge in a focussed, structured context; • produce a functioning product (programme, machine, experiment); • describe work done to solve a specific task using the conventions of scientific writing. 2. Skills By the end of the study-unit the student will be able to: • solve theoretical and practical problems in the context of a specifc task; • apply one’s initiative to design a practical task to the creation of a product; • collaborate with others to create a useful product; • report in detail on the work produced; • develop basic project management skills; • identify personal strengths and critically evaluate one’s work. |
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| ADDITIONAL NOTES | Pre-Requisite Study-units: All compulsory BSc LT and AI study units in Years 1, 2 and 3 | |||||||||||||||
| STUDY-UNIT TYPE | Dissertation and Seminar | |||||||||||||||
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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 description above applies to study-units available during the academic year 2024/5. It may be subject to change in subsequent years. |
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