Programme And Module Handbook
 
Course Details in 2022/23 Session


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Module Title LM Visualisation
SchoolComputer Science
Department Computer Science
Module Code 06 37859
Module Lead Alexander Krull
Level Masters Level
Credits 20
Semester Semester 2
Pre-requisites
Co-requisites
Restrictions None
Contact Hours Guided independent study-200 hours
Total: 200 hours
Exclusions
Description Visualising data effectively is important for both presentation and also for gaining insight and intuition into its structure. This can be challenging when the number of data points is large, and especially when it is high dimensional. In this module students will study techniques for visualising complex datasets, including best practice for visual display, dimensionality reduction techniques, and tools for visualisation.
Learning Outcomes By the end of the module students should be able to:
  • Understand, explain, and apply techniques for visualising high-dimensional data
  • Effectively use a range of tools for data visualisation
  • Present effective visualisations of complex datasets using established best practice.
Assessment 37859-03 : Continuous Assessment : Coursework (20%)
37859-04 : Examination : Exam (Centrally Timetabled) - Written Unseen (80%)
Assessment Methods & Exceptions Assessment:

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

Reassessment:

Examination (100%)
Other
Reading List