Module Descriptors
OPERATIONAL AND ANALYTICAL DATABASES
COIS70922
Key Facts
Faculty of Computing, Engineering and Sciences
Level 7
15 credits
Contact
Leader: Nicholas Decourt
Hours of Study
Scheduled Learning and Teaching Activities: 36
Independent Study Hours: 114
Total Learning Hours: 150
Assessment
  • COURSEWORK weighted at 100%
Module Details
Module Additional Assessment Details
Individual Research Paper (100%) (3,000 words) assessing Learning Outcomes 1 and 2

The research paper will be split into 2 parts
a) One page summary of a database research area to be used as the basis of presentations during a seminar week (20%)
b) A detailed research paper (80%)
Module Indicative Content
Quality and Integrity of Data

Data Mining - topics include (not exhaustive): concepts, techniques, related disciplines (e.g. OLAP etc), classification, clustering, Web, spatial and temporal mining.

Data Warehousing - architecture, star schema, tuning, loading, etc.

Dimensional modelling

Customer Relationship Management - overview of, ECRM, MCRM etc. and Decision support systems

Web, Mobile and roaming databases: issues and technologies related to database technology
Module Learning Strategies
18 lectures, 18 practical's over 9 weeks.

Students will have participated in an award induction workshop where they will learn how to use the Virtual Learning Environment (VLE) employed for the study of this module. Subsequently students will work through the module material provided on the VLE at a pace suggested within the VLE for the module. The material will include activities and review questions that allow students to assimilate the concepts and skills required by the module. Students will be encouraged to discuss relevant aspects within discussion forums that are part of the VLE. The forums will allow discussion with a student's peer group as well as the module tutor.
Module Resources
Material on Blackboard
Oracle
Staffordshire University has subscriptions to electronic book services such as Safari Tech Books, Ebrary and Netlibrary. There are titles in each of the collections that will support students studying Database Technology. Staffordshire University has subscriptions to IEEExplore, ACM Digital Library, Elsevier Science Direct and Infotrac Computer Database all offering full text electronic access to journals and conference proceedings.
Module Special Admissions Requirements
None
Module Texts
Database Systems: A Practical Approach to design, Implementation and Management
Connolly, Begg
Addison Wesley; 5 edition (16 April 2009)
ISBN-10: 0321523067