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Module Code - Title:

ED5005 - PROJECT AND DISSERTATION - ARTIFICIAL INTELLIGENCE

Year Last Offered:

2021/2

Hours Per Week:

Lecture

0

Lab

0

Tutorial

0

Other

1

Private

49

Credits

30

Grading Type:

N

Prerequisite Modules:

Rationale and Purpose of the Module:

The aim of this module is to enable a student to research, develop, analyse and present a dissertation on a relevant AI related problem. The project is a key element of the Master as it allows students to apply their knowledge with additional independent research to tackle a challenge in their chosen domain. The research and development project topic will be selected early in the programme based upon an identified real world challenge within a selected domain

Syllabus:

The project and dissertation will require that the student: 1. Review the existing literature in the area 2. Choose an appropriate research methodology and implementation framework 3. Discuss why the chosen methodology and framework is suitable for problem chosen. 4. Develop suitable models and implement on a target platform 5. Generate, analyse and discuss the results obtained. 6. Identify and discuss the benefits and limitations of the approach adopted. 7. Make realistic recommendations based on results and findings, including future work. 8. Summarise research and results in a high-quality document consistent with academic standards in terms of format, structure, language and referencing.

Learning Outcomes:

Cognitive (Knowledge, Understanding, Application, Analysis, Evaluation, Synthesis)

1. Present the self-directed research that they have undertaken into complex and emerging areas relevant to the project. 2. Deduce an implementation strategy encompassing the appropriate tools, frameworks and platforms. 3. Critique the value of the research and the implementation strategy adopted. 4. Develop an appropriate model and implement on the targeted platform. 5. Organise the results in a coherent, logical manner using visualisation and structure. 6. Interpret the research results obtained and draw appropriate conclusions. 7. Summarise research and results in a high-quality document consistent with academic standards in terms of format, structure, language and referencing.

Affective (Attitudes and Values)

1. Recognise results that are of value / not of value to their research project. 2. Defend their research. 3. Question whether the data is representative and attempt to address any biases 4. Identify and discuss any significant ethical issues such as privacy, confidentiality, ownership, transparency and identity. 5. Defend their research, results and the approaches adopted. 6. Judge and challenge any limitations of the techniques adopted.

Psychomotor (Physical Skills)

N/A

How the Module will be Taught and what will be the Learning Experiences of the Students:

A detailed project guideline will be given to students outlining the supervision, the project management and milestones, the deliverables and expectation. KNOWLEDGEABLE: Students develop knowledge and critical thinking as they put theory into practice through identifying and using the appropriate techniques and tools for their chosen project. PROACTIVE: Students make active use of data sets and frameworks to , and in doing so develop confidence in managing both data and tools, and to make informed decisions based on the scientific method. CREATIVE: Students develop their problem solution and visualisation, which requires them to integrate existing and module acquired knowledge. RESPONSIBLE: Students manage their own project, including submitting their problem statement, method and results for external scrutiny. COLLABORATIVE: Students engage regularly with their supervisory team, and work colleagues. ARTICULATE: Students will communicate technical and non-technical concepts of their project.

Research Findings Incorporated in to the Syllabus (If Relevant):

Prime Texts:

Other Relevant Texts:

Programme(s) in which this Module is Offered:

Semester - Year to be First Offered:

Module Leader: