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日期:2022-04-20 08:38

COURSEWORK for COMP5840 Data Mining and Text Analytics

Module Assessment:

Assessment1: Test1 submitted as Minerva Test,

20% weight, 1 hour to complete, release week4 10:00 Monday 14.2.22, deadline 10:00 Tuesday 15.2.22


Assessment2: Test2, submitted as Minerva Test,

20% weight, 1 hour to complete, release week8 10:00 Monday 14.3.22, deadline 10:00 Tuesday 15.3.22


Assessment3: team project report, submitted by team leader as Minerva Assignment,

60% weight, approx 10 hours per student to complete, release week2 Monday 31.1.22

deadline week10 10:00 Thursday 28.4.22 (or if extension granted, max 7 days: 5.5.22)


Learning objectives: these exercises will enable you to

- Learn theory, methods and terminology used in Data Mining and Text Analytics;

- Investigate how to apply AI methods, resources and techniques for implementing and evaluating

Data Mining and Text Analytics in a practical applied research project;

- Summarise and present your knowledge and ideas to a peer audience, in a research proposal

report.


Assessments 1 and 2:


For Test1 and Test2, each student will take an individual online test in Minerva. The tests will include

Multiple Answer Questions: each question has several suggested answers, and for each possible answer

you must decide if it is correct or not. If you require special arrangements and/or extra time due to a

disability or other special circumstances, please make sure you notify lecturer Eric Atwell AND student

support well in advance so they can prepare accordingly.


Assessment 3: Team Report: Proposal for a data mining and text analytics applied research project


For the Report, you will develop a research project proposal, using data mining and text analytics theory,

methods and technologies for a practical application of your choice. Lectures and online learning resources

will include examples of data mining and text analytics methods, techniques, resources, and applications.

You can also include other tools and techniques in your research proposal, as appropriate.

You should work in a TEAM of 4-6 students: choose your partners, choose a team name, then write your

TEAM NAME next to YOUR NAME on the Class List, a shared file linked from Minerva.

If you don’t have partners, look at the Class List or post to the discussion forum to find others without a

team, and ask them to join you.

Each team must collaborate in developing a research project proposal, and produce a joint team report; all

partners get the same grade. Every student must also take the individual tests 1 and 2. If you cannot work

in a team and need to work alone, you can do so, but you must let me know: email e.s.atwell@leeds.ac.uk


When writing an applied data mining and text analytics research proposal, you can learn from advice

provided by the Engineering and Physical Sciences Research Council. EPSRC is a major UK supporter

and funder for research projects in Engineering and Physical Sciences, including AI. The EPSRC website

gives guidance on writing research project proposals, see

https://epsrc.ukri.org/funding/applicationprocess/preparing/writing/

https://epsrc.ukri.org/funding/applicationprocess/preparing/writing/caseforsupport/

A standard proposal to EPSRC includes several forms and tables, but the core document is 7 pages:

Proposed research and its context [6 pages] to include:

Background,

Contribution to knowledge,

Importance,

Research hypothesis & objectives,

Programme and methodology


and Workplan diagram, eg Gantt Chart [additional 1 page]


You should use these headings to structure your report, and write a section (about 1 page) for each of

these five criteria, up to 6 pages in total. You have 1 extra page for the workplan diagram.


You must write your research proposal clearly and concisely. Page limits are strict. Text must be single-

spaced Arial 11 with 2cm margins - you can’t include more text by using smaller fonts or narrow margins.

You must present your ideas for all five criteria, and references must be included within the page limits.

Team project report submission (60% of module grading):

One member of the team must submit the team’s 7-page research project proposal (PDF file), including

Background, Contribution to knowledge, Importance, Research hypothesis & objectives, Programme and

methodology, and Workplan diagram. Your research paper must comply with format instructions above.

You MUST keep to page limits: 6 pages main contents including references, plus 1 additional page for

workplan diagram. Any additional pages will not be assessed.

In the text comment box in Minerva submission, write your TEAM NAME, and the names of team members,

so that markers can assign the grade to all team members.


The EPSRC website has further guidance on the sections in the Proposed Research and Context:

“Background: Introduce the proposal topic and explain its academic, industrial, policy, societal, or other

relevant context. Indicate who might benefit from the research, and how … Explain where this work relates

to past and current work in the UK and abroad …

Contribution to knowledge: Describe how your research would benefit national and international

researchers in the field and related disciplines. … what will be done to ensure that they can benefit,

including any opportunities to engage with researchers in other disciplines to broaden the reach of the new

knowledge…

Importance: … Explain how the research may contribute to the health of other research disciplines; to

current or future national economic success; to future development of key emerging industries; or

addresses key societal challenges … Indicate how the research relates to EPSRC's research areas and

strategies. …

Research hypothesis and objectives: Set out your research idea or hypothesis. … Explain why the

proposed project is novel and timely, e.g. emphasising the scientific ambition, or any potential

transformative outcomes. Identify the overall aims of the project and the measurable objectives against

which the outputs, outcomes and impacts of the work will be assessed.

Programme and methodology: Describe the work programme including research and impact related

activities ...Identify the contribution of each member of the research team including any project partners and

stakeholders. … Provide objectives and milestones that will be used to monitor progress and explain how

the project will be managed. …”

The research work programme should make use of an appropriate methodology for AI projects, such as

CRISP-DM; and should include use of at least two data mining and/or text analytics methods, techniques or

resources introduced in this module. The 1-page workplan diagram should match and illustrate the written

description of the research work programme.

The EPSRC website also gives guidance on how proposals are assessed or graded:

Peer Review Evaluation Criteria: When a research project proposal is submitted to EPSRC, they check it

meets the requirements, then send the proposal to several independent experts for Peer Review. These

peer reviewers then give written feedback on strengths and weaknesses of the proposal, and marks or

scores in the range 0-6:


EPSRC Assessment grading scheme:


0) This proposal fails to address the assessment criteria

1) This proposal is scientifically or technically flawed

2) This proposal does not meet one or more of the assessment criteria

3) This proposal meets all assessment criteria but with clear weaknesses

4) This is a good proposal that meets all assessment criteria but with minor weaknesses

5) This is a strong proposal that broadly meets all assessment criteria

6) This is a very strong proposal that fully meets all assessment criteria


Marking scheme for Assessment 3:

The mark scheme for your report will reflect the EPSRC grading scheme. In your research proposal Report,

we will assess:

1. Background (0-6 marks)

2. Contribution to knowledge (0-6 marks)

3. Importance (0-6 marks)

4. Research hypothesis and objectives (0-6 marks)

5. Programme and methodology (0-6 marks)


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