CS4144: Visual Analytics
This module is not offered.
Aims
The aims of this module are:
- To introduce students to the types, properties, and problems of real data
- To provide to students the principles, knowledge and tools to address the complexities and workflows of answering questions from data
- To introduce students to the principles and methods of creating visual representations of data
- To enable students to carry out a full data analysis process, from information gathering through to decision support
Learning Outcomes
On successful completion of this module, the student should:
- Be able to gather and prepare data for analysis
- Be able to carry out and understand simple statistical analyses of data
- Be able to carry out sensemaking and exploratory analysis sessions on data
- Be able to formulate precise questions that are answerable through data analysis
- Be able to use and develop visual tools to explore, verify and communicate data insights
Syllabus
- Introduction to the visual analytics process
- Data collection and preparation
- Statistics for Data
- Sensemaking and analysis processes
- Visualisation techniques
- Specialised visualisation techniques for specific types of data
Compulsory Elements
This module has the following compulsory elements in addition to those common to all modules (mark of 4 in each assessment component):
- Carry out the weekly readings
- Attend tutorial sessions
- Participate in project presentations
Module Delivery
- [Adriana Wilde][5]