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 |
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 |