Module name:

Data Mining

Module code:

IMAT3613

Title of the Assessment:

Organics Data Set Report Assignment

This coursework item is: (delete as appropriate)

Summative

This summative coursework will be marked anonymously: (delete as appropriate)

Yes

The learning outcomes that are assessed by this coursework are:

1. To discuss what is meant by the term data mining, to be able to express a business problem within a data mining framework and identify an appropriate target variable.

2. To be able to identify necessary prerequisites for the application of a data mining framework and discuss the limitations of data mining methods with regard to data and methods in the context of the business problem.

3. To describe and analyse the organisational structure of large data sets to facilitate effective data mining and to be able to correctly interpret and critically evaluate the results to make informed decisions within a data mining framework.

4. To express the data mining framework for a particular business problem through the correct application of data mining tools.

5. To interpret the results produced from data mining tools and evaluates the effectiveness of data mining methods and where necessary making appropriate recommendations for use in the virtuous cycle of data mining.

This coursework is: (delete as appropriate)

Individual

If other or mixed ... explain here:

This coursework constitutes 100% of the overall module mark.

Date Set:

17/10/2023

Date & Time Due (the deadline):

11/12/2023 (before midday)

In accordance with the University Assessment and Feedback Policy, your marked coursework and feedback will be available to you on:

23/01/2024

You should normally receive feedback on your coursework no later than 15 University working days after the formal hand-in date, provided that you have met the submission deadline

If for any reason this is not forthcoming by the due date your module leader will let you know why and when it can be expected. The Associate Professor Student Experience ([email protected]) should be informed of any issues relating to the return of marked coursework and feedback.

When completed you are required to submit your coursework via:

1. Learning Zone

Late submission of coursework policy:

Late submissions will be processed in accordance with current University regulations.

Please check the regulations carefully to determine what late submission period is allowed for your programme.

Academic Offences and Bad Academic Practices:

Please ensure you read the section entitled “Academic Offences and Bad Academic Practice” in the module handbook or the relevant sections in this link: BaseCamp Link:  Overview: Assessment and Good Academic Practices

Tasks to be undertaken: Data Mining Case Study (See Assignment Brief)

Deliverables to be submitted for assessment: Word processed report 2000 words max.

How the work will be marked: See Marking Scheme

Module leader/tutor name:

Eufrásio Neto

Contact details:

[email protected]