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Data analysis and knowledge discovery

Individual course

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.

You can get a digital badge after completing this course.

Responsible teacher

University of Turku
Antti Airola
antti.airola(at)utu.fi

Contact person for applications

FITech
Pilvi Lempiäinen , Head of study services
pilvi.lempiainen(at)fitech.io
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Category:
ICT Studies,
Technical studies
Topics:
Data analytics,
Industrial engineering and management
Course code:
TKO_3103
Credits:
5 ECTS
Price:
0 €
Level:
Teaching period:
26.10.–20.12.2020
Application deadline:
19.10.2020
Host university:
University of Turku
Study is open for:
Degree student
Teaching methods:
Contact
Place of contact learning:
Turku
Language:
English
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