| CODE | ARI2201 | ||||||||||||||||
| TITLE | Individual Assigned Practical Task | ||||||||||||||||
| UM LEVEL | 02 - Years 2, 3 in Modular Undergraduate Course | ||||||||||||||||
| MQF LEVEL | 5 | ||||||||||||||||
| ECTS CREDITS | 5 | ||||||||||||||||
| DEPARTMENT | Artificial Intelligence | ||||||||||||||||
| DESCRIPTION | The Individual Assigned Practical Task (APT) project provides students with an opportunity to work on a substantial practical project from start to finish on an individual basis. Each student is expect to tackle every phase of the project starting from the design and specifications stage, research into technologies that can be used to solve the problem, implement the solution and test the solution. This will ensure that each student develops strong problem solving and programming skills that are expected from them in their subsequent final year of studies (during which they will be working on their FYP, and also in industry (after graduation). Project Titles, corresopnding to real life problems, are set by the lecturers and each student is expect to demonstrate his/her skills in designing the solution for this problem, identifying the best technologies to use, and actually implementing and testing the solution. Students for each APT will be given a small number of tutorials whereby the proposing lecturer will present the problem, provide further description and instructions as required. Study-Unit Aims: The main aim is for each student to be able to take a real-life problem, research into the possible solutions, identify the most efficient and feasible solution, and actually implement and test the solution. In this SU, students should be working on an individual basis to ensure that each student develops strong problem solving and programming skills expected from them. Students will also be expected to document this process in a report that will describe the problem being tackled, a short background/literature review discussing the technologies that can be used to address the problem, an explanation of the design of the solution, an explanation of the AI techniques used, a description of the implementation, a description of the testing methodology, an analysis of the results obtained and a conclusion. This APT will also serve as preparation for the Final Year Project. Learning Outcomes: 1. Knowledge & Understanding: By the end of the study-unit the student will be able to: - Analyse a given problem scenario and identify effective AI techniques to solve it; - Explain how the AI techniques chosen will provide a solution; - 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 presentation and research paper; - Create at least one tangible AI-driven object or artifact that will be made available for demonstration purposes. 2. Skills: By the end of the study-unit the student will be able to: - Work on an individual basis to solve a given problem or challenge using the necessary tools / resources required and applying their knowledge from previous study-units; - Research and learn about different technologies as needed to solve a particular problem; - Present the project using the right digital tools for demonstration purposes; - Organize the work to be carried out to ensure its timely completion. - Demonstrate the ability to identify the significant aspects of the work and clearly communicate them to peers, colleagues, and academics in the research flied through a presentation. Main Text/s and any supplementary readings: These are specific to each APT and will be made available when the APT descriptions are announced. |
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| STUDY-UNIT TYPE | Project and Tutorials | ||||||||||||||||
| METHOD OF ASSESSMENT |
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| LECTURER/S | Matthew Montebello (Co-ord.) |
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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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