The data visualisation course aims to provide computer science-oriented students with the principles and practice to design and present effective data visualisation solutions for different datasets and visualisation objectives. The course focuses on applying design considerations which take into account the human's visual and psychological characteristics, with the goal of designing effective and ethical visuals. The course also introduces students to the large variety of techniques and tools for visualising, exploring and interacting with both abstract and scientific data.
Prerequisite Graph
Required first
AB1202Statistics & AnalysisBS1009Introduction To Computational ThinkingCV1014Introduction To Computational ThinkingEE1005From Computational Thinking To ProgrammingEE2106EE4491Probability Theory & ApplicationsMA1008Introduction To Computational ThinkingMA4849Operations ResearchMH2500ProbabilityMH2814Probability & StatisticsPS0001Introduction To Computational ThinkingSC1003Introduction To Computational Thinking & ProgrammingSC2000Probability & Statistics For ComputingData Visualisation
Unlocks
Available Indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 1330 | 10529 TUT (SCEL) 1330-1520 Tue LT25 Wk2-13 | ||||
| 1400 | |||||
| 1430 | COMMON LEC (SCL4) 1430-1620 Fri LT25 | ||||
| 1500 | |||||
| 1530 | |||||
| 1600 |
Other offerings
Other Relevant Mods
SC1001
Introduction To Computational Thinking & Programming
SC1004
Linear Algebra For Computing
SC1005
Digital Logic
SC1006
Computer Organisation & Architecture
SC1007
Data Structures & Algorithms
SC1008
C & C++ Programming
SC1013
Physics For Computing
SC1123
Math 1: Linear Algebra & Calculus For Computing
SC1301
Language & Logic