After completion of this course, students can:
- Apply and discuss a broad range of concepts and principles related to representing data visually.
- Describe the fundamentals of good visualizations
- Critically analyze data visualizations of information, regarding a range of aspects, and suggest improvements / design alternatives.
- Develop creative and useful conceptual solutions for data visualization problems.
- Successfully create data visualizations with several different tools.
- Perform exploratory visualizations to analyze and understand data
In recent years, there has been an explosion in the attention for “data visualization”, “information visualization” and “information graphics” (which are all related). In this course, we will work on learning both conceptual and practical skills related to any kind of useful visualization of (any kind of) data. We will learn about principles of visual encoding, about the wide spectrum of different types of visualization, and about what makes a data visualization good or bad. We will learn skills for the critical analysis of data visualizations, for the generation of data visualization ideas, for the conceptual development of data visualizations, and for the actual making of data visualizations.|
Manual enrollment for this module via Osiris is only for Creative Technology students. If you want to take this module as a minor, register for the minor during the minor registration period. If you do not wish to take this module as a minor and are not a Create student, please contact K. Zalewska (email@example.com).