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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.

Teaching methods

There is no weekly schedule, students can study at their own pace. The course needs to be finished by 10.6.2023 (last exam day, the assignments are due before the exam). Moodle exam possibility for FITech students (please be in touch with the contact person of the course).

More information in the University of Oulu study guide.

You can get a digital badge after completing this course.

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

Responsible teacher

University of Oulu
Satu Tamminen

Contact person for applications

FITech Network University
Fanny Qvickström, Student services specialist
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Category:
ICT Studies
Topics:
AI and machine learning,
Data analytics
Course code:
521156S
Study credits:
5 ECTS
Price:
0 €
Course level:
Teaching period:
13.3.–10.6.2023
Application start date:
07.11.2022
Application deadline:
5.3.2023
Host university:
University of Oulu
Who can apply:
Adult learner,
Degree student
Teaching method:
Online
Teaching language:
English
General prerequisites:
Basics of statistical mathematics. Basics of artificial intelligence and machine learning are beneficial.
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