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Data analysis and machine learning

Individual course

If you are taking this course as part of a FITech minor, please note that all minors will be offered for the last time in the academic year 2021-2022. Please check the individual courses for updates regarding future availability.

The aim of this course is to learn different techniques for modeling dynamic systems using data and understand the limitation of data-based models.

Content:

Review of statistical concepts

Stochastic disturbances

Model types suitable for describing static and dynamical systems

  • linear difference equations (finite and infinite impulse response models)
  • neural networks
  • support vector machines

Fitting of models to data using

  • linear regression
  • numerical optimization

Classification models

  • introduction to deep learning

More information in Åbo Akademi’s study guide.

Responsible teacher

Åbo Akademi
Jari Böling

Contact person for applications

FITech Network University
Fanny Qvickström, Student services specialist
Start here
Start here
Category:
Technical studies
Topic:
Industrial engineering and management
Course code:
PS00CD54
Credits:
5 ECTS
Price:
0 €
Level:
Teaching period:
10.3.–7.5.2022
Application deadline:
Application period has ended
Host university:
Åbo Akademi University
Study is open for:
Adult learner,
Degree student
Teaching methods:
Contact
Place of contact learning:
Turku
Language:
English
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