School of Computer Science

Module 20233 (2018)

Module description - Intelligent Data Analysis (Extended)

The Module Description is a strict subset of the Syllabus Page.

Module Title Intelligent Data Analysis (Extended)
School School of Computer Science
Module Code 06-20233
Level 4/M
Member of Staff Martin Russell
Semester Semester 2 - 10 credits

2 hrs of lectures per week

Contact Hours: 23




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
  5. identify, justify and apply suitable dimensionality reduction and visualisation techniques to mine real-world vectorial data

Sessional: 1.5 hr examination (80%), continuous assessment (20%)

Supplementary (where allowed): 1.5 hr examination (80%) with the continuous assessment mark carried forward (20%)