Equivalent to requirements for acceptance to the Master`s degree programme. Some knowledge of statistics is advantageous.

Achieve an understanding in concepts and algoritms relevant to data mining. This course is suitable for students of informatics or logistics who wants to get an introduction to data mining.

Algorithms for classification of data, based on statistics, distance, decision trees, neural networks and rulesets. Algorithms for clustering of data, including hierarchical and partition-based. Association rules. Advanced topics include web mining, spatial mining and temporal mining. The concept of a Datawarehouse.