Programme And Module Handbook
 
Course Details in 2025/26 Session


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Module Title LH Intelligent Data Analysis
SchoolComputer Science
Department Computer Science
Module Code 06 38972
Module Lead Prof Iain Styles
Level Honours Level
Credits 20
Semester Semester 1
Pre-requisites
Co-requisites
Restrictions None
Contact Hours Lecture-33 hours
Tutorial-11 hours
Guided independent study-156 hours
Total: 200 hours
Exclusions
Description The 'information revolution' has generated large amounts of data, but valuable information is often hidden and hence unusable. In addition, the data may come in many different forms, e.g. high-dimensional data collections, stream and time-series data, textual documents, images, large-scale graphs representing communication in social networks or protein-to-protein interactions etc. This module will introduce a range of techniques in the fields of pattern analysis, data analytics and data mining that aim to extract hidden patterns and useful information in order to understand such challenging data.
Learning Outcomes By the end of the module students should be able to:
  • demonstrate knowledge and understanding of core ideas of pattern analysis, data analytics and data mining
  • demonstrate understanding of broader issues of generalisation in intelligent data analysis
  • demonstrate the ability to apply the main approaches to unseen examples.
Assessment
Assessment Methods & Exceptions Assessment:

Examination (80%),
Continuous Assessment (20%)

Reassessment:

Examination (100%)
Other
Reading List