Course co-ordinator(s): Dr Chit Su Mon (Malaysia).
Aims:
To provide students with the theory, principles, and tools to enable them
- To understand the fundamental concepts and techniques used in the essential visual analytics process
- To apply analytical expressions to conduct time-based analyses, and visualize data effectively, and identify patterns ,and make data-driven predictions.
- To convey ideas effectively, considering both aesthetic form and required functionality that will provide insights into different types of dataset (Multi-variate data, temporal data, spatial and geospatial data, graphs, trees, and other network-type data, text, document)
- To implement interactive visualization reports and dashboards for comprehensive data presentation.
Detailed Information
Course Description: Link to Official Course Descriptor.
Pre-requisites: none.
Location: Malaysia.
Semester: 2.
Assessment Methods: Due to covid, assessment methods for Academic Year 2021-22 may vary from those noted on the official course descriptor. Please see the Computer Science Course Weightings and the Maths Course Weightings for 2020-21 Semester 1 assessment methods.
SCQF Level: 9.