Lecturers
Tamara Mchedlidze (course coordinator)
Alister Machado dos Reis (tutorials)
Modules
The corse consists of the following modules.
Introduction to Network Visualization
- Complex data: high-dimensional, relational
- Network Visualization and its applications
- Network Visualization styles
- Formalization of network visualization (quality metrics, drawing conventions, constraints)
- Evaluation of the quality of network visualizations
Tree visualizations
- Level-based visualization
- Radial visualization
- Bubble visualization
Visualization of general graphs
- Force-directed layout and its variations
- Stress majorization layout
Visualization of directed graphs
- Sugiyama framework
Visualization of clustered/multilayer networks
- Introduction to multilayer networks
- Bounding box layout
- Edge bundling
Low dimensional data visualization
- Table lenses
- Parallel coordinate plots
- Scatterplot matrices
High dimensional data visualization
- Dimensionality reduction (DR)
- Quality metrics for DR
- Inverse DR
- Advanced DR algorithms
Weekly schedule
The course has one 2-hour lecture and one 2-hour tutorial (lab) session every week. Each week handles one of the modules mentioned above. For exact information (week days, hours, classroom locations), see the announcements in Brightspace (since this information changes every year)