Course Details in

Module Title	Intelligent Data Analysis
School	Computer Science
Department	Computer Science
Module Code	06 20122
Module Lead	Dr P Tino
Level	Honours Level
Credits	10
Semester	Semester 2
Pre-requisites
Co-requisites
Restrictions	May not be taken in combination with "Imaging and Visualisation Systems (Extended)".
Contact Hours	Lecture-23 hours Total: 23 hours
Exclusions
Description	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.
Learning Outcomes	By the end of the module the student is expected to be able to: explain principles and algorithms for dimensionality reduction and clustering of vectorial data; explain principles and techniques for mining textual data; demonstrate understanding of the principles of efficient web-mining algorithms; demonstrate understanding of broader issues of learning and generalisation in patter analysis and data mining systems.
Assessment	20122-01 : Examination : Exam (Centrally Timetabled) - Written Unseen (100%)
Assessment Methods & Exceptions	1.5 hour examination (100%)
Other	None
Reading List