| Semester 1 Credit Value: | 10 |
| Semester 2 Credit Value: | 10 |
| ECTS Credits: | 10.0 |
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To enable students to apply what they have learnt in the modules, to allow them to explore further and come up with an implementable plan. Further, they should be able to identify the (dis)advantages of a given design of a physical/automation system and should be able to propose solutions to improve the system.
• Academic Integrity.
• Electronic Resources, Literature review.
• Definition of problem and area of study.
• Familiarisation with tools and methodology.
• Project proposal submission.
• Presentation.
Where possible, part-time students will analysis systems/processes within their organizations in their dissertation and deliver results that are practically and industrially relevant. Students are required to obtain necessary approvals from their employers should they decide to choose this path. In such a scenario, feedback will be taken from the co-supervisor (employer) on how the student performed.
At the end of the module, students should:
• Have conceptual, procedural and strategic knowledge on state of the art in
industrial automation and machine learning.
• Be able to formulate a plan to review and summarise relevant technical papers.
• Be able to identify relevant materials related to the studies and critique different
technical contents.
• Be able to identify gaps in literature and come up with a proposal.
• Know different techniques and methodologies for filling the research gap and
developing a realistic plan.
At the end of the module, students should be able to:
• Review literature, identify gaps and write a comprehensive proposal.
• Be able to summarise, make conclusions supported by sound background work and make
good presentations on the same.
• Be able to criticise and find better solutions.
• Be able to identify interdisciplinary topics for the enhancement of industrial systems.
• Demonstrate a good understanding of theoretical concepts and their relevance to practice.
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Guided Independent Study | Assessment preparation and completion | 1 | 1:00 | 1:00 | Presentation |
| Scheduled Learning And Teaching Activities | Lecture | 4 | 3:30 | 14:00 | Ethics, Research Methodologies Research proposal preparation |
| Guided Independent Study | Assessment preparation and completion | 1 | 9:00 | 9:00 | Preparation for presentation |
| Guided Independent Study | Directed research and reading | 6 | 1:00 | 6:00 | Supervision meetings |
| Guided Independent Study | Independent study | 1 | 20:00 | 20:00 | Project management tools |
| Guided Independent Study | Independent study | 1 | 50:00 | 50:00 | Background reading |
| Guided Independent Study | Independent study | 1 | 80:00 | 80:00 | Literature Review Report writing |
| Guided Independent Study | Independent study | 1 | 20:00 | 20:00 | Developing the proposal and writing |
| Total | 200:00 |
This module (Project Dissertation - I) enables students to study the different topics at a deeper level and come up with a proposal on which they will work on in Project Dissertation – II. Students are required to attend lectures on ethics and research methodologies and meet the supervisor regularly so that the proposal submitted at the end of the module is acceptable for Project Dissertation – II. Students will pick up project management skills via guided independent learning.
Due to the emerging Covid-19 situation, it is likely that some or all of the meetings/seminars are conducted online.
The format of resits will be determined by the Board of Examiners
| Description | Length | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|---|
| Oral Presentation | 60 | 2 | A | 20 | One 60-minute oral presentation (including Q&A) |
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Written exercise | 1 | M | 20 | Literature review - Document of maximum 1500-words |
| Research proposal | 2 | M | 60 | Project proposal - Document of maximum 4000-words |
The report enables students to comprehensively present what they have done as part of the proposal. Weightage is given separately to efforts on the project proposal and literature review so that students will plan better as they do the next dissertation module.
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Disclaimer: The information contained within the Module Catalogue relates to the 2023/24 academic year. In accordance with University Terms and Conditions, the University makes all reasonable efforts to deliver the modules as described. Modules may be amended on an annual basis to take account of changing staff expertise, developments in the discipline, the requirements of external bodies and partners, and student feedback. Module information for the 2024/25 entry will be published here in early-April 2024. Queries about information in the Module Catalogue should in the first instance be addressed to your School Office.