Module 20122 (2019)
Module description - Intelligent Data Analysis
The Module Description is a strict subset of the Syllabus Page.
|Module Title||Intelligent Data Analysis|
|School||School of Computer Science|
|Member of Staff||Martin Russell|
|Semester||Semester 2 - 10 credits|
2 hrs of lectures per week
Contact Hours: 23
The module introduces a range of state-of-the-art techniques in the fields of statistical pattern analysis and data mining. The 'information revolution' has generated large amounts of data, but valuable information is often hidden and hence unusable. Pattern analysis and data mining techniques seek to unveil hidden patterns in the data that can help us to refine web search, construct more robust spam filters, or uncover principal trends in the evolution of a variety of stock indexes.
On successful completion of this module, the student should be able to:
Sessional: 1.5 hr examination (100%).
Supplementary (where allowed): As the sessional assessment