This course delves into the proper design of interactive graphical data representations (charts, diagrams, graphs) -- in particular for exploratory data analysis without clearly defined objectives, such as when identifying patterns, trends, outliers, or anomalies in an intuitive "I-know-it-when-I-see-it" manner.
To that end, participants will receive a compact, yet comprehensive introduction to the field of Visualization. Key topics covered include:
In the course project, participants will create a visualization from start to finish. They will learn to:
Through review sessions, participants will not only develop their own visualizations but also analyze and critique others' work, suggesting improvements based on the principles and models introduced in the course.
Exam info and full course description can be found in the course catalogue.
Course specific:
To apply for the course, you must have passed a Bachelor's degree in Natural or Technical science. Furthermore, basic knowledge in computer programming is required.
General:
Exchange Students: nomination from your home university
Freemovers: documentation for English Language proficiency
You can read more about the admission here.
