SDSC2004 - Data Visualization | ||||||||||
| ||||||||||
| * The offering term is subject to change without prior notice | ||||||||||
Course Aims | ||||||||||
Data visualization refers to the techniques used to communicate data or information by encoding it as visual objects (e.g., points, lines or bars) contained in graphics. The capability to interpret data in a visual way has become an essential skill. Effective visualization helps users analyse and reason about data and evidence. It makes complex data more accessible, understandable and usable. This course introduces practical methods and tools to visualize data to communicate complex information clearly and efficiently. Students will learn how to present, visualize, and communicate data in various forms clearly and concisely. The ideas and principles in both aesthetic form and functionality will be emphasized. The mainstream data visualization tools, including Python and Tableau, will be covered in this class. Students will become familiar with exploratory and explanatory visualization techniques for data storytelling. Additionally, students will work together on group projects to develop their creative and technical skills as well as to learn from their peers. The real-world data and applications will be used in this course. | ||||||||||
Assessment (Indicative only, please check the detailed course information) | ||||||||||
Continuous Assessment: 70% | ||||||||||
Examination: 30% | ||||||||||
Examination Duration: 2 hours | ||||||||||
Note: To pass the course, apart from obtaining a minimum of 40% in the overall mark, a student must also obtain a minimum mark of 30% in both continuous assessment and examination components. | ||||||||||
Detailed Course Information | ||||||||||
| SDSC2004.pdf | ||||||||||
