Uusi opinto-opas (sisältäen myös opetusohjelmat) lukuvuodelle 2018-2019 sijaitsee osoitteessa https://opas.peppi.utu.fi . Tältä sivustolta löytyvät enää vanhat opinto-oppaat ja opetusohjelmat.

The new study guide (incl. teaching schedules) for academic year 2018-2019 can be found at https://studyguide.utu.fi. This site contains only previous years' guides.

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Archived Curricula Guide 2016–2018
Curricula Guide is archieved. Please refer to current Curricula Guides
Data Analysis, 15 ECTS

Learning outcomes

This module focuses on the fundamental tools and methods of machine learning and data mining. Especial attention is given to the practical knowledge necessary to apply the methods in a realistic setting as well as hands-on experience with existing statistical and data mining packages.
After completing this module, the student understands the principles of the most important machine learning and data mining methods used for data analysis in many fields of research, including but not restricted to bioinformatics and medical informatics. Presented with a real-world data mining problem, the student can suggest and implement a solution using available tools. The student will also be aware of the scalability issues associated with the analysis of the large data sizes produced by modern, high-throughput methods.

Belongs to following modules

Department of Future Technologies
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Data Analysis

Department of Future Technologies
DP in Computer Science
DP in Computer Science
DP Bachelor of Science in Techn.(Communication St)
DP in Information and Communication Technology
MDP in Digital Health and Life Sciences (Tech.)
Finnish Study Modules