Coursework

Data Ethics and Research Methods (MMI226823)
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Coursework #1 Research Report 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] = 70%

[cw1 marks] + 30% [cw2 marks].
1. Goal of the coursework
The goal of the coursework is to conduct a research study on a chosen topic in the area of Secure
AI/ML. To undertake your coursework #1, you will need to study the chosen topic of Secure AI/ML
and then focus on a Secure AI/ML problem (or issue).
For the avoidance of self-plagiarism, your completed coursework #1 should be substantially different
from any of your other courseworks or projects, whether submitted or on-going.
To undertake your coursework #1, it is essential that you conduct a systematic search and study of
the recent publications in the chosen topic and a thorough study on the relevant software toolkits /
frameworks in the chosen topic.
The study of your coursework #1 should be carried out in two aspects, namely

(i)
(ii)
comprehensive and critical analysis of the state of the art of the chosen topic, and
experimental evaluation of the common/basic approach/solution to the chosen topic on a
testbed set up with the relevant software toolkits / frameworks.

2. Template of coursework report and distribution of marks
Your coursework report should be organised as follows, with the marks distributed accordingly:

Title of your research report
Your names, student number, programme of study
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

Data Ethics and Research Methods (MMI226823)
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Chapter 2 Literature review
2.1 Taxonomy
2.2 Overview
e.g.,
(i) systematic review of the existing approaches
(ii) elaboration of the major approaches or perspectives
2.3 Critical discussion
e.g.,
(i) strengths and limitations of the existing approaches
(ii) comparisons/contrasts between the major approaches
Chapter 3 Overview on software toolkits/frameworks
e.g.,
3.1 Overview on the relevant software toolkits/frameworks,
3.2 Comparisons/contrasts 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 testbed,
4.2 Setup and configuration of the experimental testbed
e.g.,
(i) parameter settings of your experimental testbed,
(ii) validation that your experimental 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, including screenshots, graphs, charts, or
tables, etc.,
(iv) comparisons and discussions of your experiments
Chapter 5 Conclusion/outlook
References
Consistent in one referencing style

Data Ethics and Research Methods (MMI226823)
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Appendices
e.g.,
(i) software source code,
(ii) additional experimental results, graphs, screenshots, etc.

The marks are distributed as follows:

Problem description and taxonomy Chapter 1 &
Chapter 2 (Section 2.1)
20 marks
Literature review and discussion Chapter 2 (Sections 2.2 & 2.3) 30 marks
Overview on software
toolkits/frameworks
Chapter 3 20 marks
Practical experimental evaluation Chapter 4 30 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 #1” folder on
GCULearn. Your coursework report must be in Word Doc files, though the appendices may be
separate in other files.
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 should be solely based on your own understanding. Thus, it is expected that
the similarity of your coursework report should be no more than 10%.
Refer to the “Assessment Schedule” for the date of submission of the coursework report.
4. Report writing and plagiarism
When working on the coursework report, it is important that you refer to the guidance on
coursework report writing.
Plagiarisms, 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
https://www.gcu.ac.uk/aboutgcu/supportservices/governance/complaintsstudentconduct
All forms of plagiarisms are unacceptable, as they do not demonstrate one’s own understanding,
own knowledge, or own work.
[End of specs]