Summary of module

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ModuleGuide

4. Outline Delivery

Degree study is autonomous. This means that while you will have mandatory taught sessions each week, you will also be expected to undertake extensive research on an individual basis. It is an expectation that all students will arrive at their taught session having undertaken preparatory tasks as outlined below and during lectures and seminars.

Week	Taught session	Student-managed learning
1	Introduction to Course. What is Big data	Read set book extracts
2	Big Data Systems. Current challenges, trends and applications.	Research on NOSQL databases
3	Big data modelling. Data mining.	Initial data warehouse research
4	DBMS-based and non-DBMS-based approaches to Big Data.	Data warehouse research
5	Data Facts and Dimensions (OLAP)	Work on data warehouse proposal
6	Map database systems.	Work on data warehouse proposal
7	The importance of Meta Data.	Data warehouse development
8	Representing and mining text	Data warehouse development
9	Data Management	Data warehouse development
10	Ethics and Information Security	Data warehouse development
11	Submitting through Turnitin	Data warehouse development
12	Data warehouse Presentations	Report writing.

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