Course Description

Viewing design problems as a collection of decision-making processes, data has been one of the important foundations for making such decisions. This course introduces the basics of data-related methods and cutting-edge applications using a programming language for computational practice. Through examples of data generated from human activities and nature, students will learn techniques in the representation, processing, analysis, learning, and visualization of data to gain insights, communicate information, and create for the intersection of data and design. The course will include field trips depending on availability and external collaborator, and the contents are subject to change to fulfill the course objectives.

Learning Outcome

At the end of this course, students will be able to:

1. Conduct data analysis and gain insights within a given context.
2. Employ advanced techniques to visualize and communicate information.
3. Demonstrate ability to create for the intersection of data and design.

Course Instructors & Teaching Support

Grading

Academic Integrity

• This course follows the SUSTech Code of Academic Integrity. This course’s students must abide by the SUSTech Code of Academic Integrity. Any work submitted by a student in this course for academic credit will be the student’s work. Violations of the rules (e.g., cheating, copying, non-approved collaborations) will not be tolerated.

Course Materials

• (2008) Handbook of Data Visualization, Chun-houh Chen, Springer
• (2015) Storytelling with Data, Cole Nussbaumer Knaflic, Wiley
• (2001) The Visual Display of Quantitative Information, Edward R. Tufte, Graphics Press

Lecture & Lab Notes