Data analysis and knowledge discovery
The course introduces methods and algorithms for extracting information and knowledge from datasets. This includes techniques for visualisation, classification, regression, outlier detection, rule induction, model complexity selection, and model validation.
This course enables students to learn when and how to apply state of the art data analysis and knowledge discovery tools for data. Students will learn modern data analysis methods and algorithms to discover patterns and trends in large, complex and high-dimensional data sets, and turn data into information and knowledge.
If there are more registered students than positions for the course, then primarily the students whose studies include this as a mandatory course are selected for the course. After that the remaining free positions are filled in the order of registeration.
More info on University of Turku’s study guide.
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Industrial engineering and management