COM 329 INTERACTIVE DATA VISUALIZATION
This course focuses on interactive visualization of qualitative and quantitative data. Emphasis is placed on the ethical mapping of multidimensional data to appropriate coordinate and color space. Introductory data visualization topics are explored in detail including domain, range, dimension, missing data, and correlation, in addition to more advanced topics such as unsupervised learning by linear and non-linear clustering. Interactions such as click, click-drag, and hover will be widely deployed across visualizations. Students will engage with a wide variety of publicly available data sources in the process of synthesizing ethical visual communication through manipulation and assembly of scaled data features.
Enrollment Limit
Enrollment limited to 18 students.
Attributes
MOIC