Students have studied module COIS51045 Enterprise Application Development or equivalent

ArgoUML
Weka Data mining tool or equivalent
Oracle 11g (with data warehouse module) or higher
SQL Server Enterprise with Business Analytics 2008 or higher
MongoDB

Database Systems 5th Edition Connolly T, Begg C (2009) International Computer Science Series ISBN 0321173503
Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today¿s Businesses Minelli M, Chambers M, Dhiraj A (2013) Wiley ISBN 9781118147603

An assignment consisting of
Assessment point 1 weighted at 70% Creation, demonstration and justification of an Analysis and Reporting Artefact (learning outcomes 1, 2 & 3)
Assessment point 2 weighted at 30% Research Portfolio (learning outcome 4) Final assessment.

This module explicitly focuses on significant elements required for the achievement of the STAFFORDSHIRE GRADUATE ATTRIBUTES.
Teaching Block 1
Knowledge management concepts
Analysis Services/Business Reporting in an OR environment
Implementation issues and technologies for non standard data, large data sets, document handling (NoSQL)
Data Management including schema management and data quality
Data visualisation and analysis
Teaching Block 2
Knowledge Engineering
Data warehousing - design , implementation and querying
Data cleansing, ETL, treatment of outliers Data Marts & Distributed Data warehousing
Data Mining applications & algorithms

26 lectures and 26 practicals. Concepts will be introduced through lectures and through prescribed reading and independent study exercises. Theoretical material will be supported by practical sessions which will give students hands on experience with established and emerging technologies. The module uses an enquiry based approach which facilitates students researching and exploring material for themselves and introduces them to new approaches in data management