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Towards data mining

Individual course

Max amount of FITech students: 15

Amount and quality of data plays a major role in modern machine learning applications. In this course the students are familiarised with different concepts concerning data such as: data gathering, data preprocessing and normalisation, combining data from multiple sources, missing data and outliers.

After this course the student has good capabilities to identify use cases for data that has been gathered in industrial environment or organise high-quality data gathering for new applications.

More information in University of Oulu’s WebOodi course page.

You can get a digital badge after completing this course.

datanlouhinta datan kokoaminen poikkeavat arvot esikäsittely

Responsible teacher

University of Oulu
Satu Tamminen
satu.tamminen(at)oulu.fi

Contact person for applications

FITech
Pilvi Lempiäinen , Service designer
pilvi.lempiainen(at)fitech.io
Start the application process
Start the application process
Category:
ICT Studies
Topic:
AI and machine learning
Course code:
521156S
Credits:
5 ECTS
Level:
Teaching period:
30.3.–8.5.2020
Application deadline:
22.3.2020
Host university:
University of Oulu
Study is open for:
Adult learner,
Degree student
Teaching methods:
Online
Language:
English,
Finnish
General prerequisites:
Basics of statistical mathematics.
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