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Machine learning algorithms

Individual course

Max amount of FITech students: 10

During this course, some of the  most important machine learning algorithms are presented and examples for their applications are described.

After the course, the student is able to understand and use some basic and advanced machine learning methods for data mining, pattern recognition and other problems to that learning-based solutions are applied.

Matlab is used for the exercises. To load Matlab, you first need an activation code and obtaining this may take time. (You also need a TAU account.) You can do this by clicking here (if no more valid, search for from IT services of TAU).

Completion methods

Written examination and active participation in exercises and lectures.

More information in the Tampere University study guide.

You can get a digital badge after completing this course.

koneoppiminen, algoritmit, datalouhinta, tiedonlouhinta

Responsible teacher

Martti Juhola
Martti Juhola

Further information about the studies

Tampere University
Teemu Rauhala, ICT coordinator

Contact person for applications

FITech Network University
Fanny Qvickström, Student services specialist
Application period has ended
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AI and machine learning
Course code:
Study credits:
0 €
Course level:
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Application deadline:
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Host university:
Tampere University
Who can apply:
Adult learner,
Degree student
Teaching method:
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General prerequisites:
Data structures or equivalent studies and basic mathematics required.
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