Recent Question/Assignment

IT Professional Issues and Project Methods MMI223999 Coursework #2 Resit Submission Specifications
This is an individual coursework. The coursework has notional 100 marks and will be counted towards the module’s total mark by a weighting of 70%, i.e., the module’s [total marks] = 30% ? [cw1 marks] + 70% ? [cw2 marks].
1. Goal of the coursework
The goal of the coursework is to conduct a study on a Privacy-Preserving AI technology for health/biomedical application. To proceed with your coursework #2, you will need to select and focus upon an area of Privacy-Preserving AI, e.g.,
- privacy-enhancing technologies (PET):
o anonymization/pseudonymization,
o homomorphic encryption, o differential privacy , or o secure multi-party computation, or
- blockchain technology, - federated learning, - or similar.
For the avoidance of self-plagiarism, your completed coursework #2 should be substantially different from any of your other courseworks or projects, whether submitted or on-going.
To undertake your coursework #2, it is essential that you conduct a systematic search and study of the recent publications in the area and a thorough study on the relevant software toolkits / frameworks in the area.
The study of your coursework #2 should be carried out in two aspects, namely (i) comprehensive and critical analysis of the state of the art of the area, and (ii) experimental evaluation of a selected software toolkit / framework in the area.
2. Structure of coursework report and distribution of marks
Your coursework report should be organised as follows, with the marks distributed accordingly:
Chapter 1 Introduction e.g.,
(i) background
(ii) research questions
(iii) description of the research problem and research issues
(iv) goals of this study
- goal of the literature review
- goal of the experimental evaluation
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IT Professional Issues and Project Methods MMI223999
Chapter 2 Literature review
2.1 Taxonomy
2.2 Overview
(i) systematic review of the existing approaches
(ii) elaboration of the major approaches or perspectives
2.2 Critical discussion
(i) strengths and limitations of the existing approaches
(ii) comparison/contrasting between the major approaches
Chapter 3 Overview on software toolkits/frameworks e.g.,
3.1 Overview on the relevant software toolkits/frameworks,
3.2 Comparison/contrasting between different software toolkits/frameworks
Chapter 4 Practical experimental evaluation
Details of your own practical work
4.1 Toolkit(s)/framework(s) selected for your experimental platform/testbed,
4.2 Setup and configuration of the experimental platform/testbed e.g.,
(i) architectures and parameter settings of your experimental platform/testbed,
(ii) validation that your experimental platform/testbed is working properly/correctly (where appropriate),
(iii) datasets for use in your experiments (where appropriate)
4.3 Experimental scenarios and results e.g.,
(i) your experimental scenarios,
(ii) performance criteria/metrics for evaluation (where appropriate),
(iii) results of running your experiments, e.g., screenshots, graphs, charts, tables, etc.,
(iv) comparisons and discussions of your experiments
Chapter 5 Conclusion/outlook
Consistent in one bibliographic style
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IT Professional Issues and Project Methods MMI223999
(i) software codes,
(ii) additional experimental results, graphs, screenshots, etc.
The marks are distributed as follows:
Problem description Chapter 1 15 marks
Literature review and discussion Chapter 2 35 marks
Overview of software toolkits/frameworks Chapter 3 15 marks
Experimental evaluation Chapter 4 35 marks
In preparing the coursework report, it is important that you refer to the Marking Scheme.
3. Submission
You should submit your coursework report to the submission link in the “coursework #2” folder on GCULearn. Only a Word Doc file is accepted for the submission of the coursework report.
The deadline for the submission of coursework #2 report is as follows:
Coursework #2 Research report
17:00pm, Friday 5th August 2022
For reference only, the word count for the coursework report is 5000 (?10%) words. This only applies to the body of text, less the words in the diagrams and tables.
The coursework report is supposedly to describe your own understanding. Thus, it is anticipated that the similarity of your coursework report should be no more than 10%.
4. Report writing and plagiarism
When working on the coursework report, it is important that you refer to the guidance on coursework report writing.
Plagiarism, in any form, should be avoided. Common plagiarism may appear in various forms, e.g., poor academic practice, self-plagiarism, collusion, ghost writing, and so on. You should refer to the University’s Code for Student Conduct
All forms of plagiarism are unacceptable, as they do not demonstrate one’s own understanding, own knowledge, or own work.
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