Data Mining

5 credits

Data mining is the process of analyzing data sets in order to find patterns such as correlations, anomalies and outliers. Many different techniques can be used in this process, depending on the nature of the data and/or the goals that you want to achieve with the analysis. For example, scientists can use data mining to investigate empirical data and understand natural phenomena, and companies can increase revenues, cut costs, improve customer relationships, and reduce risks. This course provides an introduction to data mining and its applications, such as search engines, text mining, and exploratory analysis. We discuss techniques to find similar things, e.g., documents and images; the analysis of social networks and graphs in general; the extraction of structured information from text; and tools and software libraries for data mining, among other topics. It is a very practical hands-on course, where the students learn not only the theory behind data mining but also its application in practical exercises and projects.

Växjö – the student city with a living campus

Just south of Växjö’s city centre you will find Linnaeus University’s campus. In Växjö, many students choose to live on campus.

Here you will have five minutes’ walking distance to friends, restaurants, lecture rooms, gym, grocery store, the University Library, nature trails, and student pubs. If you live in another part of Växjö, you can quickly get to the university by bus or bicycle.

With its 90 000 inhabitants, Växjö is one of the fastest growing cities in Sweden. Here you will find the famous Småland entrepreneurship spirit and a lot of companies, for instance within the IT industry – perfect for when you are looking for an internship position or a job. Växjö is also a picturesque city where you are always close to forests and water.

Learn more about our student cities.

Students in house M

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.