Computational and Visual Network Analysis
5 credits
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.
Växjö – the student city with a vibrant campus
Just south of Växjö city centre lies Campus Växjö. Many students choose to live on campus.
Here you have friends, restaurants, lecture halls, gyms, a supermarket, the university library, outdoor recreation areas, and student pubs – all within a five-minute walk. You can also live in other parts of Växjö and easily reach the university by bike or bus.
With nearly 100 000 inhabitants, Växjö is one of Sweden’s fastest-growing cities. It has a strong Småland entrepreneurial spirit and a diverse business sector – perfect when you’re looking for a placement, an internship, or a job.
Växjö is also a scenic city, where you’re always close to forests and lakes, and it offers plenty of events and experiences, ranging from music and food to sports.
Build your own degree
Did you know that you can combine single-subject courses to build your own degree? In this way, you can design your own degree based on your interests and the career you are aiming for. This does not apply to all courses so make sure to check with a study counsellor at the faculty. Learn more about how you can build your own degree and become unique on the labour market.