|1.||Critically analyse the application of data warehousing concepts;|
|2.||Critically evaluate data quality to advocate application of data pre-processing techniques;|
|3.||Devise implementation solutions that involve supervised learning including regression and classification on real world data sets;|
|4.||Experiment and evaluate unsupervised learning solutions including clustering and association rules mining on large datasets; and|
|5.||Critically reflect on advantages and disadvantages of particular data mining solutions to solve real life problems, and evaluate their usefulness and useability.|
|Laboratory Work||Practical labs||20%|
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