Module Descriptor School of Computer Science and Statistics
|Module Name||INFORMATION MANAGEMENT I|
|Module Short Title|
|Semester Taught||Michaelmas term|
|Contact Hours||Lecture hours: 22; Tutorial and Lab hours: 11|
|Module Personnel||Prof. Declan O'Sullivan|
When students have successfully completed this module they should be able to:
This module focuses on the methods and techniques for efficient management (modelling, manipulation and retrieval) of data and information. It provides a foundation for later modules in database management and advanced information management.
The module explores the fundamental issues related to information management in a system: how information and its exhange is modeled through UML; how data is organised on storage devices, transferred between storage and computer, structured within files, and effectively searched through indexing. Concepts are exercised through the examination of XML as an example file format used to both store and process information. Accompanying technologies for structuring, manipulating and querying XML will be studied and practiced.
The module also explores information on the web, in particular emerging semantic web techniques.
Specific topics addressed in this module include:
|Recommended Reading List|
None required, although students are encouraged to use appropriate texts and reference documentation, where necessary, e.g.: Database Systems: The complete book, second edition, Garcia-Molina, Ullman and Widom, Pearson-Education/Prentice Hall
|Module Prerequisites||Programming Language such as Java or C|
Assessment is by written examination (contributing 80% to the overall mark) and continuous assessment (contributing 20% to the overall mark). To pass the module, students must achieve an overall mark of 40%. Continuous assessment consists of a substantial group project spanning the module. In the supplemental examinations, assessment is by written examination only, which contributes 100% of the overall mark.
|Academic Year of Data|