Computational and Visual Network Analysis

Education facts

Code: 4DV809

This course provides an introduction to the variety of analytical methods for relational data, i.e., graphs and networks. Such data types are applied for numerous tasks within computer science, software engineering, and other domains such as social sciences, bioinformatics, security, etc. This course addresses three perspectives: 1) computational network analysis, e.g., automatic identification of the most influential nodes; 2) graph drawing for automatic layout of nodes and edges; and 3) information visualization for interactive representation and exploration of networks and associated data. After finishing the course, the students should be able to choose and develop the most suitable visual network analytic technique for the given task.

Entry requirements

90 credits in Computer Science (including a degree project at Bachelor level). English 6 or the equivalent.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Computational and Visual Network Analysis

  Linnaeus University (Kalmar Växjö)

  Start date: 30 March 2026

  End date: 7 June 2026

  Pace of study: 33 %