Detailed Course Information |
Fall 2024 Semester
Nov 21, 2024 |
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| CS 7260 - Visualization for Network Science |
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Covers the principles of information visualization in the specific context of network science. Introduces visual encoding of data and our understanding of human vision and perception; interaction principles including filtering, pivoting, aggregation; and both quantitative and human subjects evaluation techniques. Covers visualization techniques for several network types, including multivariate networks with attributes for entities and relationships, evolving and dynamic networks that change over time, heterogeneous networks with multiple types of entities, and geospatial networks. Offers students an opportunity to learn about the design of layout algorithms for node-link and matrix visualizations.
4.000 Credit hours 4.000 Lecture hours Levels: Graduate Schedule Types: Lecture Computer Science Department Course Attributes: GSCS Computer & Info Science Restrictions: Must be enrolled in one of the following Programs: PhD Personal Health Informatic PhD Cybersecurity PhD Cybersecurity Adv Entry PhD Computer Science PhD Computer Science Adv Entry Must be enrolled in one of the following Levels: Graduate |
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