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Towards data mining

Individual course

Max amount of FITech students: 30

Persons without a valid study right to a Finnish university have preference to this course.

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.

The course has an electronic EXAM that is possible to complete in selected university campuses all around Finland. Read more about EXAM here.

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

Tämän kurssin suorituksesta on mahdollista saada digitaalinen suoritusmerkki.

datanlouhinta datan kokoaminen poikkeavat arvot esikäsittely koneoppiminen tekoäly machine learning artificial intelligence R-kieli R language

Responsible teacher

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

Contact person for applications

FITech Network University
Monica Sandberg , Student services specialist
monica.sandberg(at)fitech.io
Start here
Start here
Category:
ICT Studies
Topics:
AI and machine learning,
Data analytics
Course code:
521156S
Credits:
5 ECTS
Price:
0 €
Level:
Teaching period:
16.3.–26.5.2021
Application deadline:
Application period has ended
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. Basics of artificial intelligence and machine learning are beneficial.
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This course is included in the following themes