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Module

CSC3831 : Data Exploration (Inactive)

  • Inactive for Year: 2020/21
  • Module Leader(s): Professor Paolo Missier
  • Lecturer: Dr Sara Fernstad, Professor Nick Holliman
  • Owning School: Computing
  • Teaching Location: Newcastle City Campus
Semesters
Semester 1 Credit Value: 20
ECTS Credits: 10.0

Aims

Students will learn and acquire skills in data exploration and visualization. By the end of the module they will be able to take raw data sets, clean them, structure them and choose suitable methods for visualizing them. They will also acquire theoretical knowledge of the underpinning descriptive statistics and the basics of human perception for cognition.

Outline Of Syllabus

•       Fundamental data representations.
•       Data structures and schemas that enable data analytics.
•       Methods for data preparation including cleaning aggregation.
•       Descriptive statistics for data sets.
•       The visualization pipeline.
•       Human perception and cognition.
•       Visualization of numerical data and categorical data.
•       Visualization of geographical data.
•       Visualization of hierarchical data.
•       Interactive techniques for visualization.
•       What make a good visualization.

Teaching Methods

Module leaders are revising this content in light of the Covid 19 restrictions.
Revised and approved detail information will be available by 17 August.

Assessment Methods

Module leaders are revising this content in light of the Covid 19 restrictions.
Revised and approved detail information will be available by 17 August.

Reading Lists

Timetable