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The current and official versions of the course specifications are available on the web at http://www.usq.edu.au/course/specification/current.
Please consult the web for updates that may occur during the year.

CIS8701 Big Data Visualisation

Short Description: Big Data Visualisation
Units : 1
Faculty or Section : Faculty of Business, Education, Law and Arts
School or Department : School of Management and Enterprise
Student contribution band : Band 2
ASCED code : 020300 - Information Systems
Grading basis : Graded
Version produced : 23 May 2019

Other requisites

Students are required to have access to a personal computer, e-mail capabilities and Internet access to UConnect. Current details of computer requirements can be found at http://www.usq.edu.au/current-students/support/computing/hardware.

Synopsis

This course provides students with best practice principles in big data visualisation design and skills for the development of visuals that synthesise big data in ways that inform decision making for a range of organisations. The course provides both foundation and advanced aspects of visualisation design and strategies as well as techniques for creating user oriented visualisation designs using a range of tools.

Course offers

Semester Mode Campus
Semester 1, 2019 On-campus Springfield
Semester 1, 2019 On-campus Toowoomba
Semester 1, 2019 Online