School of Computer Science

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
Module Code 06-20122
Level 3/H
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:

  1. explain principles and algorithms for dimensionality reduction and clustering of vectorial data
  2. explain principles and techniques for mining textual data
  3. demonstrate understanding of the principles of efficient web-mining algorithms
  4. demonstrate understanding of broader issues of learning and generalisation in pattern analysis and data mining systems

Sessional: 1.5 hr examination (100%).

Supplementary (where allowed): As the sessional assessment